Sex differences in self-reported symptoms and comorbidities associated with hypermobile Ehlers-Danlos syndrome and hypermobility spectrum disorders: A retrospective study

Sex differences in self-reported symptoms and comorbidities associated with hypermobile Ehlers-Danlos syndrome and hypermobility spectrum disorders: A retrospective study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Sex differences in self-reported symptoms and comorbidities associated with hypermobile Ehlers-Danlos syndrome and hypermobility spectrum disorders: A retrospective study Frances C. Wilson, Derek J. Zangerle, Ashley A. Darakjian, Mira Bhutani, and 14 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8310986/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 7 You are reading this latest preprint version Abstract Background: Although hypermobile Ehlers-Danlos syndrome (hEDS) and hypermobility spectrum disorders (HSD) are inherited disorders expected to display a 1:1 sex ratio, most studies report a strong female dominance. This study analyzed sex differences in 122 self-reported symptoms and comorbidities in patients diagnosed with hEDS or HSD using the 2017 criteria. Methods: Self-reported data was obtained from November 1, 2019, to April 25, 2025, ( n =2,451) from an Intake Questionnaire of adult (≤18 years old) patients diagnosed with hEDS or HSD at the EDS Clinic at Mayo Clinic Florida and analyzed by sex. Results: We found that 90.6% ( n =575) of hEDS patients were female and 9.4% ( n =60) were male, with a sex ratio of 9.6:1 female-to-male, while 95.2% ( n =1,728) of HSD patients were female and 4.8% ( n =88) were male, with a sex ratio of 19.6:1 female-to-male. Females were older than males: hEDS 35 vs. 28 years of age ( p <0.001), HSD 34 vs. 31 years of age ( p =0.004). Overall, females self-reported more symptoms/comorbidities than males: hEDS 31/122 (25.4%), HSD 59/122 (48.4%). In contrast, only 5/122 (4.1%) symptoms/comorbidities were self-reported more often in males including attention deficit disorder/attention deficit hyperactivity disorder, delay in developmental milestones, snoring, autism spectrum disorder, and obstructive sleep apnea. Females with HSD had more mast cell-related symptoms (i.e., hives p <0.001) which were reflected in higher mast cell scores than males ( p <0.001). Patients with higher mast cell scores also had higher serum levels of total IgE ( p =0.029). More females with HSD were diagnosed with fibromyalgia ( p <0.001) and reported symptoms associated with autonomic dysfunction than males. Aside from abuse, which was higher in females (hEDS p =0.039, HSD p <0.001), few sex differences were reported for psychological symptoms/comorbidities. In support for the idea that elevated mast cell activity in females may lead to extracellular matrix remodeling that promotes hypermobility, females with hEDS/HSD had greater serum collagen-4α1 ( p <0.0001) and fibronectin ( p =0.015) than males by ELISA. Conclusions: Females with hEDS and HSD report a higher burden of symptoms/comorbidities than males, providing a possible explanation for fewer males being reported in demographic data. Sex differences in symptoms/comorbidities may reflect sex differences in pathogenic drivers of disease. hypermobile Ehlers-Danlos syndrome hypermobility spectrum disorders comorbidities sex differences mast cells psychology connective tissue disorders fibromyalgia autonomic dysfunction abuse Figures Figure 1 Figure 2 Plain English Summary Hypermobile Ehlers-Danlos syndrome (hEDS) and hypermobility spectrum disorders (HSD) are inherited conditions that affect the body’s connective tissues, leading to joint hypermobility, chronic pain, and a variety of other symptoms. Although these disorders should occur equally in men and women, most diagnosed patients are women. This study examined possible reasons for that difference by comparing symptoms and health conditions reported by 2,451 adults diagnosed with hEDS or HSD at the Mayo EDS Clinic in Florida between 2019 and 2025. We found that over 90% of hEDS and HSD patients were female, with a female-to-male ratio ranging from 10:1 to 20:1. Women were slightly older than men and reported more symptoms and associated health problems. Men more often reported only a few conditions, including ADHD, developmental delays, snoring, autism, and sleep apnea. Women with HSD reported more mast cell symptoms, a type of immune cell that releases chemicals like histamine and may contribute to tissue remodeling and hypermobility. These higher mast cell symptoms were associated with more allergy symptoms, like hives, and higher IgE levels in the blood. Women with HSD were also more likely to have fibromyalgia and symptoms of autonomic dysfunction (such as dizziness or heart rate changes). Overall, our findings suggest that biological sex differences- possibly through mast cell activation- may drive differences in disease severity and symptom patterns. This may explain why more women are diagnosed and seek treatment for hEDS and HSD, while men may remain underdiagnosed or less affected. Highlights More females than males attended the EDS Clinic with a sex ratio of around 10:1 in hEDS and 20:1 in HSD. Females with hEDS (25%) and HSD (48%) reported more of 122 symptoms/comorbidities than males (4%). Females with HSD reported around 2x more symptoms/comorbidities than hEDS females. Females reported more mast cell-related symptoms/comorbidities than males. Aside from abuse, few sex differences existed in psychological issues. Background Hypermobile Ehlers-Danlos syndrome (hEDS) and hypermobility spectrum disorders (HSD) are connective tissue disorders associated with a wide array of symptoms and comorbidities including joint hypermobility and widespread pain.( 1 ) The hypermobile forms of EDS, hEDS and HSD, are believed to be the most common types of EDS based on survey data.( 2 , 3 ) Unlike other forms of EDS, genetic variants leading to hEDS and HSD have not yet been identified; however, both conditions are assumed to involve extracellular matrix (ECM) remodeling due to dysfunction of collagen or other connective tissue proteins.( 3 ) Diagnosis of hEDS and HSD is based on the 2017 diagnostic criteria created by the International EDS Consortium.( 4 – 6 ) Comorbidities associated with hEDS/HSD include subluxations, dislocations, chronic pain, fatigue, headache, migraine, anxiety, neurological, gastrointestinal (GI) and other symptoms leading to a reduced quality of life.( 7 – 10 ) Due to the complexity of hEDS/HSD and a limited number of specialists, survey data indicates it can take from 14–28 years to obtain a diagnosis.( 11 ) We previously reported that around 70% of hypermobile patients seen at our EDS Clinic were also diagnosed with fibromyalgia,( 10 ) a disorder associated with widespread joint and muscle pain and fatigue. Patients that were diagnosed with hEDS or HSD and fibromyalgia self-reported more widespread symptoms/comorbidities than those without a fibromyalgia diagnosis.( 10 ) We also previously reported that hEDS patients self-report more symptoms/comorbidities associated with ECM dysregulation such as dislocations, hernias and prolapses while patients with HSD report more organ or system issues such as joint/muscle symptoms, GI complaints, and neurological symptoms suggesting there may be important pathologic differences between the two diagnoses.( 12 ) Other studies have had similar findings,( 10 , 12 – 17 ) although how much symptom overlap exists between the two diagnoses is being debated.( 18 ) Understanding whether similarities and differences exist are critical as the field considers revising the diagnostic guidelines. Another factor that may reveal pathogenic drivers of disease are whether sex differences exist in symptoms and comorbidities in hEDS and HSD patients. Although hEDS is an autosomal dominant disorder with an expected sex ratio of 1:1, many studies have shown a 9:1 or greater female-to-male sex ratio indicating that sex differences exist.( 12 , 19 , 20 ) However, few studies have examined sex differences in symptoms/comorbidities in hEDS and HSD.( 21 , 22 ) A recent study by Petrucci et al. examined 23 symptoms and comorbidities by sex in 2,149 patients diagnosed with hEDS.( 22 ) Although the Petrucci et al. study reported symptoms and comorbidities by sex, they did not analyze the data according to sex. In this study, we analyzed data by sex for 122 symptoms/comorbidities in over 2,400 patients diagnosed with hEDS or HSD using the 2017 diagnostic criteria to better understand sex differences in symptoms/comorbidities in the two diagnoses. Methods Ethics statement The Institutional Review Board (IRB) of Mayo Clinic approved the retrospective analysis of demographic and clinical data from medical records for this study and waived informed consent for all patients (IRB# 19-011260). The IRB of Mayo Clinic approved the prospective study of samples and informed consent was obtained for all patients (IRB# 19-010260). The research conformed to the principles outlined in the Declaration of Helsinki. Primary patient population A total of 2,451 patients were seen at the EDS Clinic in Mayo Clinic Florida from November 1, 2019, to April 25, 2025, and were used for an analysis of sex differences based on the Intake Questionnaire.( 10 , 12 , 23 ) Individuals were either self-referred or referred through clinicians within or outside of Mayo Clinic. Diagnosis of hEDS or HSD was established by physician experts using the 2017 diagnostic criteria,( 4 – 6 ) as previously.( 10 , 12 , 23 ) Briefly, the diagnostic criteria for hEDS includes identification of generalized joint hypermobility (GJH) of specific joints using the Beighton Scale (past puberty ≥ 5/9 and over 50 years of age ≥ 4/9), evidence of a systemic connective tissue disorder, family history and/or musculoskeletal complications, and several exclusions.( 4 ) HSD is diagnosed in patients that do not meet the diagnostic criteria for hEDS but have a positive Beighton Score (≥ 5/9 and ≥ 4/9 for older patients) and evidence that the joint hypermobility is causing widespread problems and is not just an asymptomatic feature (feature C of the 2nd EDS criterion).( 4 – 6 ) We did not include patients diagnosed with localized, historical or peripheral HSD in this study.( 5 , 6 , 23 ) Data collection Adults (≥ 18 years of age) that were diagnosed with hEDS or HSD were included in the retrospective and prospective study. Additionally, patients that were able to sign a consent form were included in the prospective study. Prior to their first appointment at the Mayo Clinic Florida EDS Clinic, patients completed a REDCap Intake Questionnaire as part of their clinical care which asked questions about symptoms and comorbidities in all areas of the body.( 10 , 12 , 23 ) The REDCap was designed by Drs. Bruno and Fairweather based on patient symptoms. The Intake Questionnaire questions are based on organs or systems like joints, neurological or gastrointestinal symptoms and comorbidities.( 10 , 12 , 23 ) Data in the manuscript are organized in this manner. A total of 122 of the questions from the Intake Questionnaire were analyzed in this study. Mast cell score The mast cell (MC) score was newly developed by Drs. Fairweather and Bruno and is based on a range of MC responses (i.e., allergy, atopy, asthma). A higher MC score indicates higher MC activity. In a separate study from the main sex differences analysis, MC symptom data from 1,942 patients were obtained from June 17, 2020, to October 9, 2025, and used to obtain MC scores based on diagnosis and sex. To obtain the MC score patients were asked a series of 11 questions related to categories of MC activity that included: 1. Do you have any environmental allergies? 2. Do you have a venom (i.e., snake bite) or stinging insect (i.e., bee) allergy? 3. Do you have any food allergies? 4. Do you have any drug/chemical allergies? 5. Do you have allergic rhinitis, otherwise known as hay fever? 6. Do you have atopic dermatitis (eczema)? 7. Do you have atopy (a hypersensitivity reaction that occurs in any area of the body that is not in contact with the allergen; often occurs on skin)? 8. Do you currently have or have ever had asthma? Have you been told that you have a hyper immune response like mast cell activation including: 9. Mast cell activation syndrome (MCAS)? 10. Overactive mast cells? 11. Tryptase mutation? A minimum of 10 of the 11 questions were required to be answered for a valid score. Each ‘yes’ answer was given a value of ‘1’ so that the MC score ranged from 0/11 to 11/11 and can be shown as an average ± SD comparing groups, similar to the adverse childhood events (ACE) score.( 24 ) Alternatively, based on the distribution of MC scores by diagnosis and sex (Fig. 1 a,b), MC scores of 0–1 were chosen to represent low MC scores (Lo MC) and MC scores of ≥ 5 were chosen to represent high MC scores (Hi MC). In a separate study, comparisons were made between male and female patients with low vs. high MC scores by diagnosis for symptoms/comorbidities. MC score data from 1,292 patients with high or low MC scores were obtained from June 6, 2020, to June 3, 2025. This analysis included males and females for each diagnosis and was used to generate the odds ratios found in Fig. 1 e. ELISA Enzyme-linked immunosorbent assays (ELISAs) were used to determine the level of total IgE, collagen-4α1, fibronectin and cellular communication network factor 6 (CCN6) in the serum of females and males diagnosed with hEDS or HSD. The following human kits were used: total IgE (Invitrogen, catalog #BMS2097, limit of detection 0.5 ng/mL), collagen-4α1 (Antibodies Online, catalog #ABIN1114261, limit of detection 0.31 ng/mL), laminin (Abcam, catalog #ab119599, limit of detection 10 pg/mL), and cellular communication network factor 6 (CCN6) (Assay Genie, catalog # HUFI00701, limit of detection 56.25 pg/mL). The number of patients used per group for each ELISA is listed in the figure legend. Statistical analysis Continuous variables were summarized in tables with the sample mean and range and in figures with mean ± SD. Categorical variables were summarized in tables with number and percentage of subjects. Fisher’s exact tests were used to compare categorical variables between two groups. Student’s t test or Mann-Whitney rank test was used to compare continuous variables between two groups. Fischer’s exact test was used to determine odds ratios with 95% confidence intervals. The specific tests that were used are listed in the legends of the tables and figures. Bonferroni correction of the 122 categorical variables in this study indicated that a p-value < 0.0004 was significant. There were no comparisons in this study from the questionnaire with p-values < 0.0004. Considering the numerous symptoms/comorbidities in this study with known sex differences in the general population and during disease, this suggested type II errors. For this reason, data are presented without Bonferroni correction and p-values < 0.05 were considered statistically significant. All statistical analyses were conducted using SAS version 9.4M9, Microsoft Excel and/or GraphPad PRISM 10.6.0. Results Patient demographics Of the 2,451 patients who were diagnosed with hEDS or HSD at the EDS Clinic using the 2017 diagnostic criteria,( 4 – 6 ) we found that 74.1% ( n = 1,816) were diagnosed with HSD, and 25.9% ( n = 635) with hEDS. Of the 635 patients diagnosed with hEDS, 90.6% ( n = 575) were female and 9.4% ( n = 60) were male with a sex ratio of 9.6:1 female-to-male (Table 1 ). Of the 1,816 patients diagnosed with HSD, 95.2% ( n = 1,728) were female and 4.8% ( n = 88) were male with a sex ratio of 19.6:1 female-to-male (Table 1 ). We also found that females were older than males for both diagnoses: hEDS 35 vs. 28 years of age ( p < 0.001), HSD 34 vs. 31 years of age ( p = 0.004). There were no significant differences in race/ethnicity between males and females with hEDS or HSD, and most patients were White, non-Hispanic (around 90–95%) (Table 1 ). The highest level of education was significantly different between males and females for HSD ( p = 0.001) but not for hEDS ( p = 0.07) (Table 1 ). Table 1 Demographics of female vs. male patients diagnosed at the EDS Clinic ( n = 2,451) hEDS a Female ( n = 575) hEDS Male ( n = 60) P value b HSD Female ( n = 1,728) HSD Male ( n = 88) P value b Median age (SD) 35.3 (11.8) 28.3 (9.4) < 0.001 c 34.4 (12.1) 30.6 (13.3) 0.004 Race American Indian/ Alaska native 9 (1.6) 1 (1.7) 0.95 26 (1.5) 2 (2.3) 0.57 Asian 9 (1.6) 0 (0.0) 0.33 34 (2.0) 0 (0.0) 0.18 Black or African American 19 (3.3) 2 (3.3) 0.99 42 (2.4) 2 (2.3) 0.92 Native Hawaii/ Pacific Islander 1 (0.2) 0 (0.0) 0.75 4 (0.2) 0 (0.0) 0.65 White 514 (89.4) 54 (90.0) 0.88 1619 (93.7) 85 (96.6) 0.27 Other 17 (3.0) 1 (1.7) 0.57 46 (2.7) 2 (2.3) 0.82 Unknown/ not disclosed 7 (1.2) 2 (3.3) 0.19 16 (0.9) 0 (0.0) 0.36 Ethnicity 0.80 0.45 Hispanic/ Latino 39 (7.1) 3 (5.3) 138 (8.1) 4 (4.6) Not Hispanic/ Latino 493 (90.3) 53 (93.0) 1531 (89.4) 80 (92.0) Choose not to disclose/unknown 14 (2.6) 1 (1.8) 43 (2.5) 3 (3.4) Highest level of education 0.07 0.001 Some high school 10 (1.9) 5 (9.1) 68 (4.0) 12 (13.8) High school/GED 42 (8.0) 7 (12.7) 145 (8.5) 9 (10.3) Some college 118 (22.5) 13 (23.6) 358 (21.0) 21 (24.1) Trade school 21 (4.0) 2 (3.6) 77 (4.5) 4 (4.6) Associates 66 (12.6) 6 (10.9) 194 (11.4) 6 (6.9) Bachelors 156 (29.7) 14 (25.5) 515 (30.2) 19 (21.8) Masters 79 (15.0) 4 (7.3) 249 (14.6) 8 (9.2) Professional/ doctorate 29 (5.5) 4 (7.3) 91 (5.3) 7 (8.0) Not disclosed 4 (0.8) 0 (0.0) 9 (0.5) 1 (1.1) a ( n , %), b Fisher’s exact test or Kruskal-Wallis rank sum compares differences in categorical variables between groups. Student’s t test or Mann-Whitney rank test compares the differences between continuous variables between groups. c Bold indicates significant value. There were no significant differences between females vs. males with hEDS or HSD for BMI, number of cigarettes smoked/day, number of alcoholic drinks consumed on average/week, alcohol exposure before birth, or exposure to drugs as a baby (Table 2 ). However, we observed sex differences for several other environmental exposures. We found that more male hEDS patients were current smokers (Female 10.1%, Male 17.5%; p = 0.005) and illicit drug users (Female 2.6%, Male 8.8%; p = 0.036) than females (Table 2 ). There were no sex differences for current smoking or illicit drug use in HSD patients. However, females with HSD had more current alcohol consumption than males (Female 51.5%, Male 44.8%; p = 0.007) (Table 2 ). Table 2 Self-reported environmental exposures ( n = 2,451) hEDS a Female ( n = 575) hEDS Male ( n = 60) P value b HSD Female ( n = 1,728) HSD Male ( n = 88) P value b BMI 0.80 0.14 Mean (SD) 24.9 (5.4) 25.1 (4.9) 26.3 (5.6) 25.3 (5.4) Range 23.5 (16.6, 39.7) 24.5 (16.6, 36.6) 25.2 (16.6, 40.0) 24.2 (17.5, 39.9) Smoking history 0.005 c 0.16 Yes-Currently 55 (10.1) 10 (17.5) 146 (8.5) 12 (13.8) Yes-Past 108 (19.9) 6 (10.5) 282 (16.5) 9 (10.3) No 379 (69.7) 39 (68.4) 1271 (74.2) 66 (75.9) Unknown 2 (0.4) 2 (3.5) 13 (0.8) 0 (0.0) Number of cigarettes smoked/day 0.18 0.61 1–5 28 (17.4) 1 (6.2) 83 (19.4) 1 (4.8) 6–10 19 (11.8) 2 (12.5) 49 (11.4) 2 (9.5) 10–20 18 (11.2) 0 (0.0) 46 (10.7) 3 (14.3) > 20 11 (6.8) 0 (0.0) 16 (3.7) 1 (4.8) Unknown 25 (15.5) 2 (12.5) 68 (15.9) 3 (14.3) Vaping 60 (37.3%) 11 (68.8%) 166 (38.8%) 11 (52.4%) Alcohol consumption 0.09 0.007 Yes-Currently 292 (53.7) 24 (42.1) 881 (51.5) 39 (44.8) Yes-Past 153 (28.1) 16 (28.1) 444 (25.9) 15 (17.2) No 94 (17.3) 15 (26.3) 382 (22.3) 33 (37.9) Unknown 5 (0.9) 2 (3.5) 5 (0.3) 0 (0.0) Number of alcoholic drinks consumed on average/ week 0.61 0.60 0–1 168 (37.9) 10 (25.0) 536 (40.5) 25 (46.3) 2–3 86 (19.4) 10 (25.0) 216 (16.3) 6 (11.1) 4–7 34 (7.7) 4 (10.0) 111 (8.4) 5 (9.3) 7+ 15 (3.4) 2 (5.0) 37 (2.8) 3 (5.6) 1–2 drinks/ month 121 (27.3) 11 (27.5) 394 (29.7) 13 (24.1) Unknown 19 (4.3) 3 (7.5) 31 (2.3) 2 (3.7) Alcohol exposure before birth 0.44 0.36 Yes 15 (2.9) 1 (1.9) 34 (2.0) 0 (0.0) No 461 (87.6) 45 (83.3) 1492 (87.4) 76 (87.4) Unknown 50 (9.5) 8 (14.8) 181 (10.6) 11 (12.6) Illicit drug use 0.036 0.08 Yes-Currently 14 (2.6) 5 (8.8) 59 (3.4) 6 (6.9) Yes-Past 42 (7.7) 7 (12.3) 104 (6.1) 8 (9.2) No 458 (84.0) 43 (75.4) 1459 (85.2) 72 (82.8) Unknown/ choose not to disclose 31 (5.7) 2 (3.5) 90 (5.3) 1 (1.1) Exposure to drugs as a baby 0.43 0.76 Yes 14 (2.6) 2 (3.6) 45 (2.6) 2 (2.3) No 460 (85.2) 44 (78.6) 1475 (86.1) 73 (83.9) Unknown 66 (12.2) 10 (17.9) 193 (11.3) 12 (13.8) a ( n , %), b Fisher’s exact test compares differences in categorical variables between groups. Student’s t test or Mann-Whitney rank test compares the differences between continuous variables between groups. c Bold indicates significant value. Joint, muscle weakness and bruising Joint pain (Female 90.3%, Male 76.7%; p < 0.001), sprains (Female 75.1%, Male 50.0%; p < 0.001), and easy bruising (Female 56.7%, Male 23.3%; p < 0.001) were all self-reported more often in females with hEDS compared to males (Table 3 ). However, joint pain (Female 94.6%, Male 87.5%; p = 0.005), subluxations (Female 76.4%, Male 64.8%; p = 0.013), sprains (Female 69.3%, Male 50.0%; p < 0.001), easy bruising (Female 64.6%, Male 28.4%; p < 0.001), and temporomandibular joint (TMJ) symptoms (Female 49.0%, Male 27.3%; p < 0.001) were self-reported more often in females with HSD compared to males. Nothing in this category was reported more often in males than females. Another way to view the data is that 4/7 (57.1%) of these symptoms were the same in males and females with hEDS, while only 2/7 (28.6%) were the same by sex in HSD (Table 3 ), suggesting that sex differences occurred more often in HSD than in hEDS patients. Table 3 Joint symptoms/comorbidities in patients with hEDS or HSD ( n = 2,451) hEDS a Female ( n = 575) hEDS Male ( n = 60) P value b HSD Female ( n = 1,728) HSD Male ( n = 88) P value b Joint pain 519 (90.3) 46 (76.7) 0.001 c 1635 (94.6) 77 (87.5) 0.005 Subluxations 448 (77.9) 43 (71.7) 0.27 1320 (76.4) 57 (64.8) 0.013 Sprains 432 (75.1) 30 (50.0) < 0.001 1198 (69.3) 44 (50.0) < 0.001 Easy bruising 326 (56.7) 14 (23.3) < 0.001 1117 (64.6) 25 (28.4) < 0.001 Muscle weakness 278 (48.3) 24 (40.0) 0.22 975 (56.4) 45 (51.1) 0.33 TMJ symptoms d 244 (42.4) 22 (36.7) 0.39 847 (49.0) 24 (27.3) < 0.001 Dislocations 231 (40.2) 25 (41.7) 0.82 525 (30.4) 27 (30.7) 0.95 No joint issues 6 (1.0) 4 (6.7) < 0.001 28 (1.6) 3 (3.4) 0.21 a ( n , %), b Fisher’s exact test compares differences in categorical variables between groups. c Bold indicates significant value. d Abbreviations: TMJ, temporomandibular joint symptoms. Teeth and jaw symptoms/comorbidities The presence of a high or narrow palate was the only symptom/comorbidity in this category that showed a sex difference for patients with hEDS (1/7, 14.3%), occurring more often in females than males (Female 31.3%, Male 18.3%; p = 0.037) (Table 4 ). In contrast, sex differences occurred in 6/7 (85.7%) of teeth and jaw symptoms/comorbidities in patients with HSD, occurring more often in females. Nothing in this category was reported more often in males than females. Thus, sex differences occurred more frequently in this category among HSD patients, whereas both males and females with hEDS reported experiencing these symptoms. Table 4 Teeth and jaw symptoms/comorbidities self-reported in patients with hEDS or HSD ( n = 2,451) hEDS a Female ( n = 575) hEDS Male ( n = 60) P value b HSD Female ( n = 1,728) HSD Male ( n = 88) P value b Braces needed as a child or adult 393 (68.3) 39 (65.0) 0.60 1135 (65.7) 46 (52.3) 0.010 c Cavities 326 (56.7) 29 (48.3) 0.21 934 (54.1) 36 (40.9) 0.016 Bleeding gums 284 (49.4) 33 (55.0) 0.41 861 (49.8) 24 (27.3) < 0.001 TMJ symptoms d 244 (42.4) 22 (36.7) 0.39 847 (49.0) 24 (27.3) < 0.001 Teeth being pulled out/ overcrowding 279 (48.5) 22 (36.7) 0.08 703 (40.7) 26 (29.5) 0.038 High or narrow palate 180 (31.3) 11 (18.3) 0.037 444 (25.7) 11 (12.5) 0.005 Brittle teeth 104 (18.1) 11 (18.3) 0.96 234 (13.5) 6 (6.8) 0.07 None 32 (5.6) 3 (5.0) 0.86 142 (8.2) 17 (19.3) < 0.001 a ( n , %), b Fisher’s exact test compares differences in categorical variables between groups. c Bold indicates significant value. d Abbreviations: TMJ, temporomandibular joint symptoms. Mast cell-related symptoms/comorbidities First, we examined whether patients self-reported more mast cell (MC) symptoms based on 11 self-reported symptoms related to allergies, atopy and asthma, for example (see Methods), from the Intake Questionnaire to create an MC score with a range of 0/11 to 11/11. A higher MC score indicates more widespread MC activity. The distribution of answers to each of the 11 MC questions by sex and diagnosis is shown in Fig. 1 a,b. We found that there was no sex difference in the MC score in females vs. males with hEDS (Females 3.3 ± 2.1 vs. Males 2.7 ± 1.8, p = 0.11) while females with HSD had a significantly higher MC score than males (Females 3.1 ± 1.9 vs. Males 2.4 ± 1.9, p = 0.0003) (Table 5 , Fig. 1 c,d). Thus, females with HSD have evidence of more MC symptoms than males based on 11 common MC symptom categories. In contrast, females with hEDS had a similar level of MC symptoms as males. Table 5 Allergy-related symptoms/comorbidities in patients with hEDS or HSD ( n = 2,451) hEDS a Female ( n = 575) hEDS Male ( n = 60) P value b HSD Female ( n = 1,728) HSD Male ( n = 88) P value b MC score, mean (SD) 3.3 (2.1) 2.7 (1.8) 0.11 3.1 (1.9) 2.4 (1.9) 0.0003 c Allergy/atopy d 164 (79.6) 15 (60.0) 0.09 403 (77.5) 15 (75.0) 0.96 Environmental allergies 368 (68.5) 38 (67.9) 0.92 1165 (68.0) 49 (56.3) 0.023 Drug allergies 230 (61.7) 14 (35.9) 0.002 798 (55.8) 38 (50.0) 0.32 Palpitations 261 (45.4) 20 (33.3) 0.07 844 (48.8) 25 (28.4) < 0.001 Multiple sensitivities 243 (42.3) 25 (41.7) 0.93 842 (48.7) 25 (28.4) < 0.001 Rhinitis 226 (42.2) 19 (33.9) 0.23 738 (43.1) 24 (27.6) 0.004 Chest discomfort 210 (36.5) 24 (40.0) 0.59 727 (42.1) 38 (43.2) 0.84 Shortness of breath 203 (35.3) 13 (21.7) 0.034 678 (39.2) 26 (29.5) 0.07 Food allergies 128 (34.3) 10 (25.6) 0.28 502 (35.1) 19 (25.0) 0.07 Sun sensitivity 147 (25.6) 15 (25.0) 0.92 561 (32.5) 15 (17.0) 0.002 Eczema 98 (26.3) 15 (38.5) 0.10 393 (27.5) 22 (28.9) 0.78 Hives 126 (21.9) 6 (10.0) 0.030 388 (22.5) 6 (6.8) < 0.001 Rash 121 (21.0) 7 (11.7) 0.09 385 (22.3) 6 (6.8) < 0.001 Oral ulcers 88 (15.3) 8 (13.3) 0.68 342 (19.8) 14 (15.9) 0.37 Venom allergies 84 (22.5) 0 (0.0) < 0.001 233 (16.3) 6 (7.9) 0.05 MCAS 92 (17.1) 6 (10.7) 0.22 190 (11.1) 5 (5.7) 0.12 Wheezing 56 (9.7) 6 (10.0) 0.95 184 (10.6) 8 (9.1) 0.64 Tryptase mutation 5 (0.9) 0 (0.0) 0.47 4 (0.2) 1 (1.1) 0.11 Asthma history Asthma as a child 175 (30.4) 16 (26.7) 0.54 518 (30.0) 28 (31.8) 0.71 Asthma as an adult 133 (23.1) 8 (13.3) 0.08 387 (22.4) 11 (12.5) 0.029 No asthma 263 (45.7) 30 (50.0) 0.53 900 (52.1) 53 (60.2) 0.14 Asthma unknown 40 (7.0) 7 (11.7) 0.18 141 (8.2) 6 (6.8) 0.65 a ( n , %), b Fisher’s exact test compares differences in categorical variables between groups. c Bold indicates significant value. d Except for MC score and asthma history, order based on highest percentage in HSD females. To further examine the 11 symptoms that we used to generate the MC score, we compared symptoms in hEDS or HSD patients with a low MC score of 0–1 (Lo MC) to patients with a high MC score of ≥ 5 (Hi MC) with males and females combined. We found significantly higher odds ratios (OR) with 95% confidence intervals (CI) in hEDS and HSD patients with high vs. low MC scores for all MC-related self-reported symptoms that were used to derive the MC score including environmental allergies (hEDS OR 144.3, CI 479.8–1492.0. p < 0.0001 ; HSD OR 68.0, OR 116.0-199.0, p < 0.0001), venom allergy (hEDS OR 7.6, CI 18.3–43.0 p < 0.0001; HSD OR 20.0, CI 47.3-111.9; p < 0.0001), food allergy (hEDS OR 20.2, CI 49.2-114.9, p < 0.0001; HSD OR 35.4, CI 57.6–92.9, p < 0.0001), drug allergy (hEDS OR 19.0, CI 34.1–61.5, p < 0.0001; HSD OR 19.9, CI 28.5–40.0, p < 0.0001), rhinitis (hEDS OR 43.9, CI 103.5-231.6, p < 0.0001; HSD OR 101.6, CI 183.8-327.8, p < 0.0001), eczema (hEDS OR 12.2, CI 26.3–54.5, p < 0.0001; HSD OR 9.2, CI 13.4–19.5, p < 0.0001), atopy (hEDS OR 96.7, CI 456.1–1987.0, p < 0.0001; HSD OR 47.0, CI 139.4-350.5, p < 0.0001), current or history of asthma (hEDS OR 11.5, CI 24.0-49.3, p < 0.0001; HSD OR 28.6, CI 49.7–89.0, p < 0.0001), and MC activation syndrome (MCAS) (hEDS OR 6.2, CI 15.0-35.3, p < 0.0001; HSD OR 15.9, CI 41.1-106.2, p < 0.0001). Data for other MC activation and tryptase mutation are not shown in the graph because of high CIs. To further validate the MC score, we examined MC activation symptoms that are part of the criteria for a diagnosis of MCAS according to the consensus statement by Valent et al.( 25 ) These symptoms included flushing (hEDS OR 5.3, CI 8.8–14.3, p < 0.0001; HSD OR 3.3, CI 4.5–6.1, p < 0.0001), pruritus (itching) (hEDS OR 4.6, CI 7.5–12.4, p < 0.0001; HSD OR 6.0, CI 8.3–11.5, p < 0001), urticaria (hives) (hEDS OR 6.8, CI 11.5–19.9, p < 0.0001; HSD OR 6.4, CI 9.3–13.3, p < 0.0001), angioedema (no data), nasal congestion (hEDS OR 29.9, CI 65.2-137.4, p < 0.0001; HSD OR 8.6, CI 12.3–17.6, p < 0.0001), nasal pruritus (itching) (no data), wheezing (hEDS OR 5.8, CI 17.9–55.3, p < 0.0001; HSD OR 4.0, CI 6.3–10.0, p < 0.0001), throat swelling (hEDS OR 7.3, CI 13.5–24.3, p < 0.0001; HSD OR 3.9, CI 5.7–8.4, p < 0.0001), headache (hEDS OR 2.3, CI 3.9–7.1, p < 0.0001; HSD OR 3.5, CI 5.0-7.2, p < 0.0001), hypotension (hEDS OR 1.8, CI 3.0-4.8, p < 0.0001; HSD OR 2.1, CI 3.0-4.3, p < 0.0001) and diarrhea (hEDS OR 1.7, CI 2.7–4.1, p < 0.0001; HSD OR 2.6, CI 3.5–4.7, p < 0.0001) which all had higher ORs in patients with a high MC score compared to low MC score (Fig. 1 e).( 25 ) We did not include angioedema or nasal pruritus which were not a part of the questionnaire. Additionally, we compared total IgE levels in the serum of hEDS/HSD patients with low vs. high MC scores. We found that hEDS/HSD patients with high MC scores had significantly greater serum levels of total IgE than patients with low MC scores (Lo MC n = 31, Hi MC n = 47, p = 0.029) (Fig. 1 f), indicating that greater MC activity is related to a higher MC score. One hypothesis put forward is that MC activation contributes to joint remodeling, leading to weakness and increased hypermobility, resulting in more subluxations and dislocations in hEDS and HSD patients.( 26 ) To investigate this possibility, we examined whether sex differences existed in the level of collagen and other extracellular matrix (ECM) proteins in the serum by ELISA. We found that females with hEDS/HSD had significantly higher serum levels of collagen-4α1 ( n = 39/sex, p < 0.0001), laminin ( n = 39/sex, p = 0.0146), and CCN6 (cellular communication network factor 6) ( n = 25/sex, p = 0.0067) than males (Fig. 1 g-i). These findings suggest that females exhibit more MC activation and greater remodeling, which contributes to elevated ECM proteins in the serum, compared to males. Thus, overall, females with hEDS and HSD have indicators of higher MC activity than males. Out of 21 allergy symptoms and comorbidities examined from the Intake Questionnaire, 5/21 (23.8%) symptoms/comorbidities differed significantly by sex in patients with hEDS, while 10/21 (47.6%) differed by sex in HSD patients (Table 5 ). As another way to view the data, for hEDS patients 16/21 (76.2%) did not differ by sex, while for HSD 11/21 (52.4%) did not differ by sex (Table 5 ). Overall, HSD females had more MC-related symptoms/comorbidities than males while most MC symptoms were similar by sex in hEDS patients. All allergy symptoms/comorbidities with a significant sex difference occurred more often in females than males for both diagnoses. However, the specific MC symptoms that were worse in females with hEDS and HSD differed by diagnosis. Females with hEDS had more drug allergies (Female 61.7%, Male 35.9%, p = 0.002), shortness of breath (Female 35.3%, Male 21.7%, p = 0.034), urticaria (hives) (Female 21.9%, Male 10.0%, p = 0.030), and venom allergies (Female 22.5%, Male 0.0%, p < 0.001) (Table 5 ). In contrast, females with HSD had more environmental allergies (Female 68.0%, Male 56.3%, p = 0.023), palpitations (Female 48.8%, Male 28.4%, p < 0.001), multiple sensitivities (Female 48.7%, Male 28.4%, p < 0.001), rhinitis (Female 48.7%, Male 28.4%, p = 0.004), sun sensitivity (Female 32.5%, Male 17.0%, p = 0.002), urticaria (hives) (Female 22.5%, Male 6.8%, p < 0.001), rash (Female 22.3%, Male 6.8%, p < 0.001), and asthma as an adult (Female 22.4%, Male 12.5%, p = 0.029) than HSD males (Table 5 ). Remarkably, none of the issues in hEDS and HSD females were the same, except for hives, which occurred in both. Thus, overall, more females with HSD self-reported allergy symptoms/comorbidities than hEDS females compared to males. Neurological symptoms/comorbidities We examined 34 neurological conditions that are listed in Table 6 from greatest to lowest percentage based on female patients with HSD. This is one of only two categories where we found conditions that were self-reported more often in males than females (Fig. 2 ). Males with hEDS self-reported a delay in developmental milestones (hEDS Female 13.7% hEDS Male 26.8%; p = 0.030) and autism spectrum disorder (ASD) (hEDS Female 7.1%, hEDS Male 21.7%; p < 0.001) more often than females (Table 6 , Fig. 2 ). In contrast, males with HSD reported attention deficit disorder (ADD)/attention deficit hyperactivity disorder (ADHD) more often than HSD females (HSD Female 30.1%, HSD Male 44.3%; p = 0.005) (Table 6 , Fig. 2 ). All other significant sex differences occurred more often in females than males in this category. Notably, except for headache/migraine-related symptoms, females and males with hEDS reported similar levels of most neurological symptoms/comorbidities. In contrast, almost all the most common neurological issues in patients with HSD occurred more often in females (Table 6 ). We found that hEDS females self-reported 7/34 (20.6%) neurological conditions more often than males, while HSD females reported 19/34 (55.9%) of these conditions more often than males. Multiple conditions occurred more often in hEDS and HSD females including brain fog (hEDS Female 77.7%, Male 58.3%, p < 0.001; HSD Female 79.5%, Male 62.5%, p < 0.001), headache (hEDS Female 75.7%, Male 63.3%, p = 0.037, HSD Female 73.8%, Male 60.2%, p = 0.005), migraine (hEDS Female 58.4%, Male 45.0%, p = 0.045, HSD Female 56.5%, Male 36.4%, p < 0.001), sense of imbalance (hEDS Female 45.7%, Male 28.3%, p = 0.010, HSD Female 54.6%, Male 38.6%, p = 0.003), cold intolerance (hEDS Female 49.0%, Male 25.0%, p < 0.001, HSD Female 49.2%, Male 28.4%, p < 0.001), vertigo (hEDS Female 41.0%, Male 18.3%, p < 0.001, HSD Female 41.0%, Male 23.9%, p = 0.001), chronic migraine (hEDS Female 30.3%, Male 11.7%, p = 0.002, HSD Female 28.6%, Male 11.4%, p < 0.001), and neuropathy (hEDS Female 27.5%, Male 13.3%, p = 0.018, HSD Female 25.9%, Male 13.6%, p = 0.010) (Table 6 ). The only neurological symptom/comorbidity that occurred more often uniquely in hEDS females was numbness/tingling of extremities (Female 52.3%, Male 36.7%, p = 0.021). Neurological symptoms/comorbidities that occurred more often uniquely in HSD females included fibromyalgia (Female 68.5%, Male 50.0%, p < 0.001), lightheadedness (Female 65.7%, Male 43.2%, p < 0.001), heat intolerance (Female 51.1%, Male 28.4%, p < 0.001), palpitations (Female 48.8%, Male 28.4%, p < 0.001), multiple sensitivities (i.e., lights, smells, foods, medicine) (Female 48.7%, Male 28.4%, p < 0.001), dry eyes (Female 41.0%, Male 25.0%, p = 0.003), blurred vision (Female 40.0%, Male 22.7%, p = 0.001), autonomic dysfunction (Female 32.3%, Male 17.0%, p = 0.003), new daily persistent headache (NDPH) (Female 29.6%, Male 18.2%, p = 0.021), and abnormal brain MRI (current or past) (Female 10.5%, Male 3.4%, p = 0.031) (Table 6 ). Gastrointestinal symptoms/comorbidities Table 6 Neurologic symptoms/comorbidities in patients with hEDS or HSD ( n = 2,451) hEDS a Female ( n = 575) hEDS Male ( n = 60) P value b HSD Female ( n = 1,728) HSD Male ( n = 88) P value b Brain fog c 447 (77.7) 35 (58.3) < 0.001 d 1374 (79.5) 55 (62.5) < 0.001 Headache 435 (75.7) 38 (63.3) 0.037 1276 (73.8) 53 (60.2) 0.005 Fibromyalgia 341 (59.3) 30 (50.0) 0.16 1184 (68.5) 44 (50.0) < 0.001 Lightheadedness 328 (57.0) 33 (55.0) 0.76 1135 (65.7) 38 (43.2) < 0.001 Numbness/tingling of extremities 301 (52.3) 22 (36.7) 0.021 1086 (62.8) 48 (54.5) 0.12 Migraine 336 (58.4) 27 (45.0) 0.045 976 (56.5) 32 (36.4) < 0.001 Sense of imbalance 263 (45.7) 17 (28.3) 0.010 944 (54.6) 34 (38.6) 0.003 Heat intolerance 248 (43.1) 24 (40.0) 0.64 883 (51.1) 25 (28.4) < 0.001 Tinnitus 297 (51.7) 28 (46.7) 0.46 862 (49.9) 40 (45.5) 0.42 Cold intolerance 282 (49.0) 15 (25.0) < 0.001 850 (49.2) 25 (28.4) < 0.001 Palpitations 261 (45.4) 20 (33.3) 0.07 844 (48.8) 25 (28.4) < 0.001 Multiple sensitivities 243 (42.3) 25 (41.7) 0.93 842 (48.7) 25 (28.4) < 0.001 Ringing in the ears 243 (42.3) 25 (41.7) 0.93 808 (46.8) 36 (40.9) 0.28 Vertigo 236 (41.0) 11 (18.3) < 0.001 709 (41.0) 21 (23.9) 0.001 Dry eyes 208 (36.2) 17 (28.3) 0.23 708 (41.0) 22 (25.0) 0.003 Blurred vision 217 (37.7) 18 (30.0) 0.24 691 (40.0) 20 (22.7) 0.001 Increased sweating 180 (31.3) 20 (33.3) 0.75 661 (38.3) 30 (34.1) 0.43 Dry mouth 175 (30.4) 16 (26.7) 0.54 606 (35.1) 22 (25.0) 0.05 Autonomic dysfunction 214 (37.2) 16 (26.7) 0.11 558 (32.3) 15 (17.0) 0.003 ADD/ADHD e 159 (27.7) 22 (36.7) 0.14 520 (30.1) 39 (44.3) 0.005 New daily persistent headache 166 (28.9) 11 (18.3) 0.08 512 (29.6) 16 (18.2) 0.021 Chronic migraine 174 (30.3) 7 (11.7) 0.002 495 (28.6) 10 (11.4) < 0.001 Neuropathy 158 (27.5) 8 (13.3) 0.018 448 (25.9) 12 (13.6) 0.010 Severe illnesses in childhood 149 (27.6) 18 (32.1) 0.76 435 (25.4) 22 (25.3) 0.42 Hearing difficulties 127 (22.1) 9 (15.0) 0.20 413 (23.9) 21 (23.9) 1.00 Cluster headache 76 (13.2) 7 (11.7) 0.74 273 (15.8) 12 (13.6) 0.59 Delay in developmental milestones 74 (13.7) 15 (26.8) 0.030 212 (12.4) 14 (16.1) 0.56 Dyslexia 56 (9.7) 4 (6.7) 0.44 192 (11.1) 10 (11.4) 0.94 Abnormal brain MRI (current or past) 84 (14.6) 4 (6.7) 0.09 182 (10.5) 3 (3.4) 0.031 Taste (loss/change) 47 (8.2) 5 (8.3) 0.97 182 (10.5) 7 (8.0) 0.44 Autism spectrum disorder (ASD) 41 (7.1) 13 (21.7) < 0.001 149 (8.6) 7 (8.0) 0.83 Intracranial hypertension 30 (5.2) 2 (3.3) 0.53 67 (3.9) 2 (2.3) 0.44 Chiari malformation 21 (3.7) 2 (3.3) 0.90 59 (3.4) 3 (3.4) 1.00 CSF leak 20 (3.5) 3 (5.0) 0.55 41 (2.4) 3 (3.4) 0.54 Other 99 (17.2) 9 (15.0) 0.66 318 (18.4) 16 (18.2) 0.96 Unknown 3 (0.5) 1 (1.7) 0.29 26 (1.5) 1 (1.1) 0.78 No issues 5 (0.9) 6 (10.0) < 0.001 41 (2.4) 10 (11.4) < 0.001 a ( n , %), b Fisher’s exact test compares differences in categorical variables between groups. c Order based on highest percentage in HSD females. d Bold indicates significant value. e Abbreviations: ADD; attention deficit disorder; ADHD attention deficit hyperactivity disorder; ASD, autism spectrum disorder; CSF, cerebral spinal fluid; MRI, magnetic resonance imaging. We examined 19 gastrointestinal (GI) symptoms/comorbidities that are listed from greatest to lowest percentage in Table 7 based on self-reported data from female patients with HSD. All significant sex differences occurred more often in females than males in this category. We found that hEDS females self-reported 5/19 (26.3%) GI conditions more often than males, while HSD females reported 8/19 (42.1%) of these conditions more often than males. Several GI symptoms occurred more often in hEDS and HSD females including nausea (hEDS Female 62.6%, Male 46.7%, p = 0.016, HSD Female 64.1%, Male 38.6%, p < 0.001), constipation (hEDS Female 61.7%, Male 40.0%, p = 0.001, HSD Female 62.2%, Male 31.8%, p < 0.001), and vomiting (hEDS Female 34.3%, Male 15.0%, p = 0.002, HSD Female 33.9%, Male 18.2%, p = 0.002) (Table 7 ). Dyspepsia (heartburn) (Female 31.5%, Male 16.7%, p = 0.017) and hemorrhoids (Female 36.5%, Male 20.0%, p = 0.011) occurred uniquely more often in females with hEDS than males. Unique GI symptoms/comorbidities in females with HSD included pain/cramps in lower abdomen (Female 57.3%, Male 35.2%, p < 0.001), diarrhea (Female 55.8%, Male 36.4%, p < 0.001), bowel cramps (Female 50.9%, Male 39.8%, p = 0.041), and irritable bowel syndrome (Female 37.5%, Male 21.6%, p = 0.003). None of the GI issues occurred more often in males with hEDS or HSD. Thus, overall, the symptoms/comorbidities that affected most hEDS and HSD patients (> 60%) (i.e., nausea and constipation) occurred more often in females than males. Table 7 Gastrointestinal symptoms/comorbidities in patients with hEDS or HSD ( n = 2,451) hEDS a Female ( n = 575) hEDS Male ( n = 60) P value b HSD Female ( n = 1,728) HSD Male ( n = 88) P value b Nausea c 360 (62.6) 28 (46.7) 0.016 d 1107 (64.1) 34 (38.6) < 0.001 Constipation 355 (61.7) 24 (40.0) 0.001 1074 (62.2) 28 (31.8) < 0.001 Pain/cramps in lower abdomen 281 (48.9) 26 (43.3) 0.41 991 (57.3) 31 (35.2) < 0.001 Diarrhea 311 (54.1) 31 (51.7) 0.72 964 (55.8) 32 (36.4) < 0.001 Bowel cramps 253 (44.0) 24 (40.0) 0.55 880 (50.9) 35 (39.8) 0.041 GERD (reflux) e 242 (42.1) 20 (33.3) 0.19 762 (44.1) 37 (42.0) 0.70 Loss of appetite 197 (34.3) 19 (31.7) 0.69 669 (38.7) 25 (28.4) 0.05 Irritable bowel syndrome (IBS) 203 (35.3) 16 (26.7) 0.18 648 (37.5) 19 (21.6) 0.003 Dyspepsia (heartburn) 181 (31.5) 10 (16.7) 0.017 640 (37.0) 26 (29.5) 0.16 Frequent loose stools 191 (33.2) 25 (41.7) 0.19 612 (35.4) 26 (29.5) 0.26 Vomiting 197 (34.3) 9 (15.0) 0.002 585 (33.9) 16 (18.2) 0.002 Hemorrhoids 210 (36.5) 12 (20.0) 0.011 507 (29.3) 20 (22.7) 0.18 Gastroparesis 113 (19.7) 12 (20.0) 0.95 347 (20.1) 12 (13.6) 0.14 Fissure (tear in anus) 83 (14.4) 7 (11.7) 0.56 210 (12.2) 7 (8.0) 0.24 Rectal prolapse 46 (8.0) 5 (8.3) 0.93 84 (4.9) 2 (2.3) 0.26 Fecal incontinence (leakage of feces) 42 (7.3) 2 (3.3) 0.25 85 (4.9) 3 (3.4) 0.52 Barrett’s esophagus 9 (1.6) 1 (1.7) 0.95 37 (2.1) 2 (2.3) 0.93 Ulcerative colitis 13 (2.3) 1 (1.7) 0.76 28 (1.6) 3 (3.4) 0.21 Crohn’s disease 9 (1.6) 0 (0.0) 0.33 18 (1.0) 2 (2.3) 0.28 Other 94 (16.3) 9 (15.0) 0.79 285 (16.5) 9 (10.2) 0.12 Unknown 11 (1.9) 6 (10.0) < 0.001 34 (2.0) 1 (1.1) 0.58 No issues 21 (3.7) 4 (6.7) 0.25 96 (5.6) 18 (20.5) < 0.001 a ( n , %), b Fisher’s exact test compares differences in categorical variables between groups. c Order based on highest percentage in HSD females. d Bold indicates significant value. e Abbreviations: GERD, gastroesophageal reflux disease. Sleep symptoms/comorbidities We examined 9 sleep symptoms/comorbidities that are listed from greatest to lowest percentage in Table 8 based on female patients with HSD. This is one of only two categories where we found conditions that were self-reported more often in males than females. Males with HSD self-reported more snoring (Female 14.9%, Male 26.1%; p = 0.005) and obstructive sleep apnea (Female 8.9%, Male 20.5%; p < 0.001) than females with HSD (Table 8 , Fig. 2 ). All other significant sex differences occurred more often in females than males in this category. Sleep issues reported more often in females than males with HSD included insomnia (Female 45.9%, Male 33.0%; p = 0.017) and sleep disturbances (Female 42.2%, Male 28.4%; p = 0.010) (Table 8 ). There were no sex differences in any other symptom/comorbidity in this category. Table 8 Sleep symptoms/comorbidities in patients with hEDS or HSD ( n = 2,451) hEDS a Female ( n = 575) hEDS Male ( n = 60) P value b HSD Female ( n = 1,728) HSD Male ( n = 88) P value b Difficulty falling asleep and staying asleep 318 (55.3) 30 (50.0) 0.43 1118 (64.7) 49 (55.7) 0.09 Insomnia 254 (44.2) 26 (43.3) 0.90 793 (45.9) 29 (33.0) 0.017 Sleep disturbances 240 (41.7) 23 (38.3) 0.61 730 (42.2) 25 (28.4) 0.010 Restless leg syndrome 135 (23.5) 17 (28.3) 0.40 447 (25.9) 18 (20.5) 0.26 Idiopathic hypersomnia 97 (16.9) 8 (13.3) 0.48 349 (20.2) 12 (13.6) 0.13 Snoring 85 (14.8) 7 (11.7) 0.51 258 (14.9) 23 (26.1) 0.005 Obstructive sleep apnea 49 (8.5) 6 (10.0) 0.70 154 (8.9) 18 (20.5) < 0.001 Narcolepsy 33 (5.7) 2 (3.3) 0.44 75 (4.3) 2 (2.3) 0.35 Parasomnia 22 (3.8) 1 (1.7) 0.39 58 (3.4) 1 (1.1) 0.25 Other 48 (8.3) 5 (8.3) 1.00 167 (9.7) 8 (9.1) 0.86 Unknown 50 (8.7) 4 (6.7) 0.59 145 (8.4) 8 (9.1) 0.82 No issues 56 (9.7) 11 (18.3) 0.039 202 (11.7) 18 (20.5) 0.014 a ( n , %), b Fisher’s exact test compares differences in categorical variables between groups. c Order based on highest percentage in HSD females. d Bold indicates significant value. Psychological conditions and abuse We did not observe sex differences in most psychological conditions in patients diagnosed with hEDS or HSD (Table 9 ). The most frequent psychological symptom was anxiety which was self-reported more often in females with HSD than males (Female 73.9%, Male 61.4%; p = 0.010) but had no sex difference in patients with hEDS (Female 68.0%, Male 66.7%; p = 0.83). The only psychological condition that occurred more often in females for both diagnoses was abuse (hEDS: Female 41.8%, Male 25.0%; p < 0.039; HSD: Female 40.0%, Male 24.1%; p < 0.001) and sexual abuse (hEDS: Female 23.8%, Male 10.0%; p = 0.015; HSD: Female 22.7%, Male 5.7%; p < 0.001) (Table 9 ). Additionally, females with HSD reported more post-traumatic stress disorder (PTSD) (Female 30.3%, Male 11.4%; p < 0.001) than males (Table 9 ). Table 9 Psychological symptoms/comorbidities in patients with hEDS or HSD ( n = 2,451) hEDS a Female ( n = 575) hEDS Male ( n = 60) P value b HSD Female ( n = 1,728) HSD Male ( n = 88) P value b Anxiety c 391 (68.0) 40 (66.7) 0.83 1277 (73.9) 54 (61.4) 0.010 d Depression 327 (56.9) 35 (58.3) 0.83 1065 (61.6) 49 (55.7) 0.26 Depressed mood 218 (37.9) 30 (50.0) 0.07 848 (49.1) 43 (48.9) 0.97 Nervousness 215 (37.4) 27 (45.0) 0.25 815 (47.2) 38 (43.2) 0.46 Abuse 228 (41.8) 14 (25.0) 0.039 685 (40.0) 21 (24.1) < 0.001 Emotional/verbal abuse 180 (31.3) 12 (20.0) 0.07 559 (32.3) 20 (22.7) 0.06 PTSD e 164 (28.5) 13 (21.7) 0.26 524 (30.3) 10 (11.4) < 0.001 Sexual abuse 137 (23.8) 6 (10.0) 0.015 392 (22.7) 5 (5.7) < 0.001 Physical abuse 121 (21.0) 8 (13.3) 0.16 357 (20.7) 12 (13.6) 0.11 Obsessive-compulsive disorder (OCD) 116 (20.2) 6 (10.0) 0.06 298 (17.2) 16 (18.2) 0.82 Eating disorders 77 (13.4) 4 (6.7) 0.14 249 (14.4) 7 (8.0) 0.09 Body dysmorphic disorder 34 (5.9) 6 (10.0) 0.22 152 (8.8) 8 (9.1) 0.92 Bipolar 31 (5.4) 3 (5.0) 0.90 110 (6.4) 3 (3.4) 0.26 Personality disorder 13 (2.3) 1 (1.7) 0.76 51 (3.0) 4 (4.5) 0.40 Conversion disorder 8 (1.4) 2 (3.3) 0.25 24 (1.4) 2 (2.3) 0.50 Schizophrenia 0 (0.0) 0 (0.0) - 4 (0.2) 0 (0.0) 0.65 Other 31 (5.4) 3 (5.0) 0.90 93 (5.4) 4 (4.5) 0.73 Unknown 15 (2.6) 5 (8.3) 0.016 42 (2.4) 5 (5.7) 0.06 No issues 89 (15.5) 7 (11.7) 0.43 259 (15.0) 23 (26.1) 0.005 a ( n , %), b Fisher’s exact test compares differences in categorical variables between groups. c Order based on highest percentage in HSD females. d Bold indicates significant value. e Abbreviations: PTSD; post-traumatic stress disorder. Genitourinary symptoms All genitourinary symptoms examined in this study that were statistically significant were self-reported more often in females with hEDS or HSD compared to males (Table 10 ). Symptoms/ comorbidities that were self-reported more often in females in both hEDS and HSD included dyspareunia (pain during sexual intercourse) (hEDS Female 31.1%, Male 3.3%; p < 0.001; HSD Female 28.1%, Male 4.5%; p < 0.001), recurrent urinary tract infections (hEDS Female 30.4%, Male 5.0%; p < 0.001; HSD Female 27.4%, Male 3.4%; p < 0.001), incontinence (hEDS Female 25.9%, Male 5.0%; p < 0.001; HSD Female 23.7%, Male 6.8%; p < 0.001), pelvic floor dysfunction (hEDS Female 22.4%, Male 10.0%; p = 0.025; HSD Female 18.6%, Male 4.5%; p < 0.001), recurrent yeast infections (hEDS Female 19.0%, Male 3.3%; p < 0.001; HSD Female 18.0%, Male 0.0%; p < 0.001), and bladder prolapse (hEDS Female 8.3%, Male 0.0%; p = 0.020; Female 4.9%, Male 0.0%; p = 0.033). hEDS females uniquely reported more frequent urination than males (Females 34.4%, Males 20.0%; p = 0.024) (Table 10 ). Table 10 Genitourinary symptoms/comorbidities in patients with hEDS or HSD ( n = 2,451) hEDS a Female ( n = 575) hEDS Male ( n = 60) P value b HSD Female ( n = 1,728) HSD Male ( n = 88) P value b Frequent urination c 198 (34.4) 12 (20.0) 0.024 d 644 (37.3) 27 (30.7) 0.21 Dyspareunia (pain during sexual intercourse 179 (31.1) 2 (3.3) < 0.001 486 (28.1) 4 (4.5) < 0.001 Recurrent urinary tract infections 175 (30.4) 3 (5.0) < 0.001 473 (27.4) 3 (3.4) < 0.001 Incontinence (urine leakage) 149 (25.9) 3 (5.0) < 0.001 409 (23.7) 6 (6.8) < 0.001 Pelvic floor dysfunction 129 (22.4) 6 (10.0) 0.025 322 (18.6) 4 (4.5) < 0.001 Recurrent yeast infections 109 (19.0) 2 (3.3) 0.002 311 (18.0) 0 (0.0) < 0.001 Pelvic floor spasms 70 (12.2) 4 (6.7) 0.21 176 (10.2) 2 (2.3) 0.015 Interstitial cystitis (inflammation of the bladder)/ painful bladder syndrome 59 (10.3) 2 (3.3) 0.08 150 (8.7) 1 (1.1) 0.012 Bladder prolapse 48 (8.3) 0 (0.0) 0.020 85 (4.9) 0 (0.0) 0.033 Other 75 (13.0) 2 (3.3) 0.028 227 (13.1) 9 (10.2) 0.43 Unknown 37 (6.4) 11 (18.3) < 0.001 165 (9.5) 6 (6.8) 0.39 No issues 98 (17.0) 32 (53.3) < 0.001 325 (18.8) 63 (71.6) < 0.001 a ( n , %), b Fisher’s exact test compares differences in categorical variables between groups. c Order based on highest percentage in HSD females. d Bold indicates significant value. Discussion This is the first study to analyze sex differences in a large number of symptoms and comorbidities in hEDS and HSD patients. In this study we found that females and males that attended the EDS Clinic shared the same wide range of 122 symptoms/comorbidities. However, females with hEDS and HSD reported more symptoms/comorbidities than males. Interestingly, there were only 5 comorbidities that males reported more often than females including attention deficit disorder (ADD)/ attention deficit hyperactivity disorder (ADHD), delay in developmental milestones, snoring, autism spectrum disorder (ASD), and obstructive sleep apnea (Fig. 2 )- conditions with a known male dominance.( 27 – 32 ) Does that suggest that the symptoms/comorbidities that occur more often in females, such as allergies and migraine, are simply female dominant conditions?( 33 – 35 ) There are several lines of reasoning to suggest that is not the case. 1) Many of the 122 symptoms/comorbidities in this study do not have a clear reported female dominance, 2) many of the symptoms/comorbidities displayed no sex differences in this study, and 3) females with HSD reported around 2x more symptoms/comorbidities than hEDS females. If the female dominance were due to sex differences in the general population for these symptoms/comorbidities, we would expect hEDS and HSD females to have a similar number of symptoms/comorbidities. Instead, we found that the sex ratio for hEDS was around 10:1 female-to-male while the sex ratio for HSD was around 20:1- a two-fold difference. Additionally, hEDS females reported 31/122 (25.4%) symptoms/comorbidities more often than males while HSD females reported 59/122 (48.4%) more than males- around a two-fold difference. Thus, based on the number of conditions, HSD females had more sex differences in symptoms/comorbidities than hEDS females. From another perspective, hEDS females and males had fewer sex differences, which may suggest greater influence from a genetic variant/s as a driver of disease in hEDS rather than other promoters of disease such as sex hormones.( 36 ) Another interesting distinction in this study is that for many symptoms/comorbidities the specific issues that occurred more in females than males differed between hEDS and HSD females. For example, although females with hEDS and HSD both self-reported many allergy/mast cell-related symptoms, the specific symptoms that occurred more often than males differed for hEDS (drug allergies, shortness of breath) vs. HSD (environmental allergies, palpitations, multiple sensitivities, rhinitis, etc.) (Table 5 ), which is consistent with our previous analyses comparing symptoms/comorbidities between patients with hEDS and HSD.( 12 , 23 ) Overall, these findings suggest differences in disease burden (i.e., greater number of symptoms/comorbidities) by both sex and diagnosis. Thus, even symptomatic males who attended the Mayo EDS Clinic appear to have a lower disease burden than females. This could, at least in part, explain why fewer hypermobile males seek clinical care for hEDS/HSD in general based on demographic data.( 22 ) Our findings in this study comparing hEDS to HSD females vs. our previous study where males were included gave similar results, except that when males were removed from the analysis in this study, autonomic dysfunction was found more often in HSD rather than hEDS.( 12 ) Otherwise the findings were essentially the same indicating that the small percentage of males in the sample in previous studies did not have a big effect on the data. It is difficult to compare our findings in hEDS patients to the study by Petrucci because they did not analyze data by sex.( 22 ) An intriguing idea to explain the sex differences in hEDS and HSD is that men have stronger muscle mass from testosterone and so are less likely to be hypermobile; consequently, they are less likely to sublux or dislocate, leading to fewer symptoms. Although this hypothesis makes sense for symptoms such as joint and muscle pain, it is much less clear how muscle strength relates to non-joint-related symptoms like migraine, GI issues, and neurological symptoms. Although this sex difference may partially protect males from hEDS and HSD, another likely cause of sex differences is mast cell activation. MC progenitors originate in the yolk sac and bone marrow and migrate to vascularized tissues/organs in the body where they become long-lived resident MCs and take on characteristics specific to that local environment.( 37 ) MCs are unique among immune cells in that they not only communicate directly with the immune system and local tissue environment but also with the hormone (sex hormones, stress hormones, etc.) and neurological systems.( 26 , 38 , 39 ) MCs produce neurotransmitters and express neurotransmitter receptors on their cell surface, and many cytokines that they release, such as interleukin (IL)-1β and tumor necrosis factor (TNF), also act as neurotransmitters.( 39 – 43 ) MCs are located everywhere in the body adjacent to vessels and nerve endings so that they can rapidly transmit signals locally, systemically and via the peripheral and central nervous system including the vagus nerve.( 37 , 44 ) MCs can directly activate pain stimuli through the release of TNF, IL-1β and other mediators which all send pain signals to the brain via the nervous system including the vagus nerve.( 37 , 42 – 44 ) MCs also release many mediators (i.e., enzymes, etc.) that are involved in the cycle of ECM remodeling- both breaking down ECM proteins and rebuilding them to produce scar (i.e., fibrosis).( 43 , 45 ) Thus, MCs are multi-functional cells that are not limited to IgE-mediated or anaphylactic responses. Importantly, all these MC functions differ significantly by sex depending on the organ or tissue location.( 34 , 46 ) In the heart, cardiac MC degranulation in males drives ECM remodeling that promotes fibrosis and progression to chronic heart failure.( 41 , 46 , 47 ) Heightened MC activation near sensory neurons has been linked with symptom severity in chronic pain disorders such as irritable bowel syndrome, migraine and fibromyalgia, which all occur more often in females,( 34 ) and are conditions that are prevalent in patients with hEDS and HSD.( 12 ) Higher MC activity in female joints combined with lower muscle strength may exacerbate hypermobility symptoms resulting in higher subluxations and dislocations than the general population in females. This may explain why we observe an increase in many joint and muscle symptoms in females with hEDS or HSD compared to males in this study (Table 3 ). Another possibility is that HSD females have more activated MCs which could provide an explanation for the increased symptoms/comorbidities observed in HSD females compared to hEDS females.( 34 ) That MC activation can lead to widespread systemic issues in the skin, GI tract, cardiovascular, respiratory and naso-ocular systems was recognized in 2010 in a manuscript by Akin et al. who proposed a clinical definition of MCAS that was later affirmed by an international panel of experts.( 25 , 48 ) For a definition of MCAS the following three criteria must be met: 1. episodic symptoms consistent with MC degranulation involving at least 2 organ systems (i.e., cutaneous, GI, cardiovascular, or respiratory), 2. event-related increase in serum tryptase above the individual’s baseline tryptase to 20% + 2ng/mL, and 3. response of symptoms to therapy with MC-stabilizing agents, drugs directed against MC mediator production, or drugs blocking mediator release or effects of MC-derived mediators.( 25 , 48 ) Thus, to receive a diagnosis of MCAS the patient needs to be clinically documented to undergo an anaphylactic type event with the assumption that the patient typically has a low/lower baseline tryptase. However, the presumed mechanism behind MC activation in patients with hEDS and HSD suggests that patients have daily, chronic MC activation which would create high baselines that likely limit the ability to mount an acute event. Furthermore, Valent et al. stated that the chronic systemic symptoms must be associated only with MCAS and not attributed to any other medical condition.( 25 ) This statement essentially eliminates hEDS and HSD patients from being candidates for this diagnosis and may inhibit clinical immunologists from pursuing testing. Because of this clinical gap, we (Drs. Fairweather and Bruno) developed a self-reported MC score with the goal of capturing widespread MC activation symptoms that include, but are not limited to, MCAS, tryptase mutations and mastocytosis.( 25 , 49 ) The symptoms included in the MC score encompass categories of MC issues such as asthma/history of asthma, environmental, venom, food and drug allergies, atopy, eczema, rhinitis, MCAS and tryptase mutations. These are self-reported symptoms and so may not be accurately diagnosed; however, answers to these self-reported questions should enable identification of widespread issues if they exist. Using this novel MC score, we are the first to examine whether widespread MC activation in patients with hEDS and HSD differs by sex. We provide internal validation of the MC score in several ways: 1) by showing significantly increased odds ratios for high vs. low MC scores for MC score-associated symptoms, 2) by showing significantly increased odds ratios for high vs. low MC scores for MC activation symptoms that comprise part of the MCAS diagnostic criteria (Fig. 1 e),( 25 , 48 ) and 3) by showing that patients with a high MC score have significantly higher levels of total IgE in their serum than patients with a low MC score (Fig. 1 f). We plan to further validate the MC score in hEDS and HSD patients from other sites in the future. In this study we found that MCAS was self-reported in around 5–17% of hEDS/HSD patients, but these percentages may not include verified cases of MCAS but possibly a patient’s perception of having this condition. A recent study of 703 patients referred for MC activation symptoms found that only 4.4% had MCAS according to diagnostic criteria.( 50 ) Only ≤ 1% of patients in our study self-reported that they had a tryptase mutation, which is part of the diagnostic criteria for hereditary alpha tryptasemia (HAT).( 51 ) The diagnosis of HAT includes demonstrating an increased gene copy number of TPSAB1 encoding for alpha tryptase and elevated serum tryptase levels.( 51 ) MCAS and HAT are considered MC activation disorders (MCAD) along with systemic mastocytosis.( 25 , 49 ) Brock et al. describes that MC activation disease (MCAD) should include widespread MC-related symptoms in many different organ systems such as GI, cardiovascular, respiratory, skin, neurological, musculoskeletal, etc. and verified MCAS,( 9 ) but did not create a measurable MC activation score. Note that MC activation disorders vs. MC activation disease have the same abbreviation (i.e., MCAD) but different definitions depending on the author.( 9 , 49 ) Most of the widespread MC-related symptoms listed by Brock et al.( 9 ) and Valent et al.( 25 ) are included in our Intake Questionnaire and were reported more often in females with hEDS and HSD compared to males. Additionally, our MC score indicates widespread MC activation issues, which we found were reported more often in HSD females but similarly between hEDS females and males. Thus, the MC score questionnaire we developed is a fast and simple method to assess widespread MC activation issues in large numbers of patients without lengthy and expensive clinical testing. This study revealed several other interesting findings. A high percentage of hEDS and HSD patients reported anxiety and depression (around 60% in this study) similar to previous reports,( 12 , 23 ) yet except for abuse there were few sex differences in psychological symptoms/comorbidities in this study. Males who attended the EDS Clinic were slightly younger than females. Surprisingly, almost all teeth and jaw symptoms were worse in females with HSD; however, only a high or narrow palate occurred more often in females with hEDS, which is part of the diagnostic criteria for hEDS.( 4 ) It was also remarkable that none of the MC-related symptoms in hEDS and HSD females were the same, except for hives, which occurred in both. Also interesting related to neurological symptoms/comorbidities was that females of both diagnoses had greater brain fog, headache, migraine, sense of imbalance, vertigo and chronic migraine- which we reported previously as similar between diagnoses.( 12 ) In contrast, unique to HSD females was greater fibromyalgia, light-headedness, heat intolerance, palpitations, multiple sensitivities, dry eyes, and blurred vision- all symptoms of autonomic dysfunction,( 52 ) and which comprise part of the diagnostic criteria for fibromyalgia.( 53 ) Thus, our findings suggest that females with HSD have more autonomic dysfunction. However, these findings require confirmation using medical record extraction and/or physician validation in future studies. There are several limitations to this study. The retrospective design of the study precludes establishing causal relationships. The site of the study is a tertiary care center and findings from patients in this study may not be generalizable to other regions of the US or world. Symptoms/comorbidities were self-reported and not validated through another method. Future studies are needed to examine whether the key findings of this study can be verified when medical records are examined. A strength of the study is that hEDS and HSD patients were diagnosed using the most recent 2017 criteria by physician experts. An additional strength of the study is the large study population which provided the ability to study a small cohort of males. To our knowledge, this is the first study to analyze sex differences in a large number of symptoms/comorbidities in males and females with hEDS and HSD. Perspectives and Significance The ability to study sex differences was made possible by large numbers of well-characterized patients. Overall, we found large sex differences in the number of patients attending the EDS Clinic that were diagnosed with hEDS and HSD and the self-reported burden of symptoms/comorbidities, with females more greatly affected. Like our previous studies,( 12 , 23 ) females with HSD reported more symptoms/comorbidities than females with hEDS. In contrast, only 5/122 (4.1%) of symptoms/comorbidities occurred more often in males than females, which may be due to an increased prevalence of these issues (i.e., ASD) in males in the general population rather than an EDS-driven pathology. Our findings suggest a difference in disease burden (i.e., number of symptoms/comorbidities) by sex and diagnosis. Elevated MC symptoms in females may drive symptomology indicated by elevated serum extracellular matrix proteins in females. Conclusions In conclusion, we found that females with hEDS and HSD self-reported more symptoms/ comorbidities than males with a sex ratio of around 10:1 and 20:1 female-to-male, respectively. Gaining a better understanding of sex differences in patients with hEDS and HSD may improve patient care, optimize a personalized approach to therapy, and provide mechanistic insights into the pathogenesis of disease. Declarations Ethics approval and consent to participate The Institutional Review Board (IRB) of Mayo Clinic approved the retrospective analysis of demographic and clinical data from medical records for this study and waived informed consent for all patients (IRB# 19-011260). The IRB of Mayo Clinic approved the prospective study of samples and informed consent was obtained for all patients (IRB# 19-010260). The research conformed to the principles outlined in the Declaration of Helsinki. Consent for publication N/A Competing interests The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Supplementary material None. Funding This study was supported by funding from the Ehlers-Danlos Society MicroGrant to DF and DRTK; Mayo Clinic RACER and RACER Plus Award to DRTK; Mayo Clinic STARDOM Award to DF and DRTK; Mayo Clinic’s Division of General Internal Medicine to DF, DRTK, KAB; the Ralph E. Pounds and Kathy Olesker Pounds Fund in Research Related to Chronic Pain to DF; American Heart Association 23SCEFIA1153413 to KAB; National Institutes of Health R01 HL164520 to DF and R21 AR084101 to SNG, KAB, DRTK, DF; and National Institutes of Health R21 AI163302 and R21 AI180863 to KAB. Author Contribution KAB, DRTK and DF designed the study. AMZ, SNG and DRTK diagnosed hEDS/HSD patients. FCW, AAD, KAB and DF built and/or managed the electronic database of patient data. FCW, AAD, JJF, JMG, MWS, and DF collected data. FCW, DJZ, AAD, MB, JJF, HJS, DOH, KAB, DRTK and DF analyzed the data. FCW, AAD, BWEW, PSA, CLS, SNG, KAB, DRTK, and DF interpreted the data. FCW, DJZ, MB, and DF wrote the manuscript. KAB, DRTK and DF agree to be accountable to all aspects of the work ensuring that questions related to accuracy and integrity of any part of the work are properly investigated and resolved. All authors edited and revised the paper for important content. All authors approved the final version of the paper. Acknowledgement N/A Data Availability The datasets generated and/or analyzed during the current study are available in the [NAME] repository, [PERSISTENT WEB LINK TO DATASETS]. (Note: The link to data will be provided prior to publication.) References Malfait F, De Paepe A. The Ehlers-Danlos syndrome. Adv Exp Med Biol. 2014;802:129–43. Mulvey MR, Macfarlane GJ, Beasley M, Symmons DP, Lovell K, Keeley P, et al. Modest association of joint hypermobility with disabling and limiting musculoskeletal pain: results from a large-scale general population-based survey. Arthritis Care Res (Hoboken). 2013;65(8):1325–33. Tinkle B, Castori M, Berglund B, Cohen H, Grahame R, Kazkaz H, et al. Hypermobile Ehlers-Danlos syndrome (a.k.a. Ehlers-Danlos syndrome Type III and Ehlers-Danlos syndrome hypermobility type): Clinical description and natural history. Am J Med Genet C Semin Med Genet. 2017;175(1):48–69. Malfait F, Francomano C, Byers P, Belmont J, Berglund B, Black J, et al. The 2017 international classification of the Ehlers-Danlos syndromes. Am J Med Genet C Semin Med Genet. 2017;175(1):8–26. Castori M, Tinkle B, Levy H, Grahame R, Malfait F, Hakim A. A framework for the classification of joint hypermobility and related conditions. Am J Med Genet C Semin Med Genet. 2017;175(1):148–57. Morlino S, Castori M. Placing joint hypermobility in context: Traits, disorders and syndromes. Br Med Bull. 2023;147(1):90–107. Castori M. Ehlers-Danlos syndrome, hypermobility type: An underdiagnosed hereditary connective tissue disorder with mucocutaneous, articular, and systemic manifestations. ISRN Dermatol. 2012;2012:751768. Voermans NC, Knoop H, Bleijenberg G, van Engelen BG. Pain in Ehlers-Danlos syndrome is common, severe, and associated with functional impairment. J Pain Symptom Manage. 2010;40(3):370–8. Brock I, Prendergast W, Maitland A. Mast cell activation disease and immunoglobulin deficiency in patients with hypermobile Ehlers-Danlos syndrome/hypermobility spectrum disorder. Am J Med Genet C Semin Med Genet. 2021;187(4):473–81. Fairweather D, Bruno KA, Darakjian AA, Bruce BK, Gehin JM, Kotha A, et al. High overlap in patients diagnosed with hypermobile Ehlers-Danlos syndrome or hypermobile spectrum disorders with fibromyalgia and 40 self-reported symptoms and comorbidities. Front Med (Lausanne). 2023;10:1096180. Demmler JC, Atkinson MD, Reinhold EJ, Choy E, Lyons RA, Brophy ST. Diagnosed prevalence of Ehlers-Danlos syndrome and hypermobility spectrum disorder in Wales, UK: A national electronic cohort study and case-control comparison. BMJ Open. 2019;9(11):e031365. Darakjian AA, Bhutani M, Fairweather D, Kocsis SC, Fliess JJ, Khatib S, et al. Similarities and differences in self-reported symptoms and comorbidities between hypermobile Ehlers-Danlos syndrome and hypermobility spectrum disorders. Rheumatol Adv Pract. 2024;8(4):rkae134. Hakim AKS, FC, Bloom L, Malfait F, Gandy W, editors. The proportion of people reporting multisystemic morbidities is similar across the Ehlers Danlos syndromes. The 2022 Ehlers-Danlos Society International Symposium on the EDS and HSD 2022; Rome, Italy. Copetti M, Morlino S, Colombi M, Grammatico P, Fontana A, Castori M. Severity classes in adults with hypermobile Ehlers-Danlos syndrome/hypermobility spectrum disorders: A pilot study of 105 Italian patients. Rheumatology (Oxford). 2019;58(10):1722–30. McGillis L, Mittal N, Santa Mina D, So J, Soowamber M, Weinrib A, et al. Utilization of the 2017 diagnostic criteria for hEDS by the Toronto GoodHope Ehlers-Danlos syndrome clinic: A retrospective review. Am J Med Genet A. 2020;182(3):484–92. Martinez KL, Mauss C, Andrews J, Saboda K, Huynh JM, Sanoja AJ, et al. Subtle differences in autonomic symptoms in people diagnosed with hypermobile Ehlers-Danlos syndrome and hypermobility spectrum disorders. Am J Med Genet A. 2021;185(7):2012–25. Ritelli M, Chiarelli N, Cinquina V, Vezzoli M, Venturini M, Colombi M. Looking back and beyond the 2017 diagnostic criteria for hypermobile Ehlers-Danlos syndrome: A retrospective cross-sectional study from an Italian reference center. Am J Med Genet A. 2024;194(2):174–94. Aubry-Rozier B, Schwitzguebel A, Valerio F, Tanniger J, Paquier C, Berna C, et al. Are patients with hypermobile Ehlers-Danlos syndrome or hypermobility spectrum disorder so different? Rheumatol Int. 2021;41(10):1785–94. Castori M, Camerota F, Celletti C, Grammatico P, Padua L. Ehlers-Danlos syndrome hypermobility type and the excess of affected females: Possible mechanisms and perspectives. Am J Med Genet A. 2010;152A(9):2406–8. Rodgers KR, Gui J, Dinulos MB, Chou RC. Ehlers-Danlos syndrome hypermobility type is associated with rheumatic diseases. Sci Rep. 2017;7:39636. Glayzer JE, Bray BC, Kobak WH, Steffen AD, Schlaeger JM. Lack of diversity in research on females with Ehlers-Danlos syndromes: Recruitment protocol for a quantitative online survey. JMIR Res Protoc. 2024;13:e53646. Petrucci T, Barclay SJ, Gensemer C, Morningstar J, Daylor V, Byerly K, et al. Phenotypic clusters and multimorbidity in hypermobile Ehlers-Danlos syndrome. Mayo Clin Proc Innov Qual Outcomes. 2024;8(3):253–62. Fairweather D, Bruno KA, Darakjian AA, Wilson FC, Fliess JJ, Murphy EF, et al. Localized and historical hypermobile spectrum disorders share self-reported symptoms and comorbidities with hEDS and HSD. Front Med (Lausanne). 2025;12:1594796. Dube SR, Fairweather D, Pearson WS, Felitti VJ, Anda RF, Croft JB. Cumulative childhood stress and autoimmune diseases in adults. Psychosom Med. 2009;71(2):243–50. Valent P, Akin C, Arock M, Brockow K, Butterfield JH, Carter MC, et al. Definitions, criteria and global classification of mast cell disorders with special reference to mast cell activation syndromes: A consensus proposal. Int Arch Allergy Immunol. 2012;157(3):215–25. Afrin LB, Pohlau D, Raithel M, Haenisch B, Dumoulin FL, Homann J, et al. Mast cell activation disease: An underappreciated cause of neurologic and psychiatric symptoms and diseases. Brain Behav Immun. 2015;50:314–21. Bhattacharyya N. Sleep and health implications of snoring: A populational analysis. Laryngoscope. 2015;125(10):2413–6. Campos AI, Garcia-Marin LM, Byrne EM, Martin NG, Cuellar-Partida G, Renteria ME. Insights into the aetiology of snoring from observational and genetic investigations in the UK Biobank. Nat Commun. 2020;11(1):817. Li Y, Yan X, Li Q, Li Q, Xu G, Lu J, et al. Prevalence and trends in diagnosed ADHD among US children and adolescents, 2017–2022. JAMA Netw Open. 2023;6(10):e2336872. Zablotsky BNA, Black LI, Blumberg SJ. In: Statistics NCH, editor. Diagnosed developmental disabilities in children aged 3–17 years: United States, 2019–2021. Hyattsville, MD: NCHS Data Brief; 2023. Grosvenor LP, Croen LA, Lynch FL, Marafino BJ, Maye M, Penfold RB, et al. Autism diagnosis among US children and adults, 2011–2022. JAMA Netw Open. 2024;7(10):e2442218. Sonmez I, Vo Dupuy A, Yu KS, Cronin J, Yee J, Azarbarzin A. Unmasking obstructive sleep apnea: Estimated prevalence and impact in the United States. Respir Med. 2025;248:108348. Burch R, Rizzoli P, Loder E. The prevalence and impact of migraine and severe headache in the United States: Updated age, sex, and socioeconomic-specific estimates from government health surveys. Headache. 2021;61(1):60–8. Mackey E, Moeser AJ. Sex differences in mast cell-associated disorders: A life span perspective. Cold Spring Harb Perspect Biol. 2022;14(10). Ng AEBP. In: Statistics NCH, editor. Diagnosed allergic conditions in adults: United States, 2021. Hyattsville, MD: NCHS Data Brief; 2023. Fairweather D, Beetler DJ, McCabe EJ, Lieberman SM. Mechanisms underlying sex differences in autoimmunity. J Clin Invest. 2024;134(18):e180076. Chia SL, Kapoor S, Carvalho C, Bajenoff M, Gentek R. Mast cell ontogeny: From fetal development to life-long health and disease. Immunol Rev. 2023;315(1):31–53. Nautiyal KM, Ribeiro AC, Pfaff DW, Silver R. Brain mast cells link the immune system to anxiety-like behavior. Proc Natl Acad Sci U S A. 2008;105(46):18053–7. Theoharides TC. Neuroendocrinology of mast cells: Challenges and controversies. Exp Dermatol. 2017;26(9):751–9. Benoist C, Mathis D. Mast cells in autoimmune disease. Nature. 2002;420(6917):875–8. Fairweather D, Frisancho-Kiss S, Gatewood S, Njoku D, Steele R, Barrett M, et al. Mast cells and innate cytokines are associated with susceptibility to autoimmune heart disease following coxsackievirus B3 infection. Autoimmunity. 2004;37(2):131–45. Kempuraj D, Mentor S, Thangavel R, Ahmed ME, Selvakumar GP, Raikwar SP, et al. Mast cells in stress, pain, blood-brain barrier, neuroinflammation and Alzheimer's disease. Front Cell Neurosci. 2019;13:54. Molderings GJ, Afrin LB. A survey of the currently known mast cell mediators with potential relevance for therapy of mast cell-induced symptoms. Naunyn Schmiedebergs Arch Pharmacol. 2023;396(11):2881–91. Cordner ZA, Li Q, Liu L, Tamashiro KL, Bhargava A, Moran TH et al. Vagal gut-brain signaling mediates amygdaloid plasticity, affect, and pain in a functional dyspepsia model. JCI Insight. 2021;6(6). Komi DEA, Khomtchouk K, Santa Maria PL. A review of the contribution of mast cells in wound healing: Involved molecular and cellular mechanisms. Clin Rev Allergy Immunol. 2020;58(3):298–312. Frisancho-Kiss S, Davis SE, Nyland JF, Frisancho JA, Cihakova D, Barrett MA, et al. Cutting Edge: Cross-regulation by TLR4 and T cell Ig mucin-3 determines sex differences in inflammatory heart disease. J Immunol. 2007;178(11):6710–4. Beetler DJ, Bruno KA, Watkins MM, Xu V, Chekuri I, Giresi P, et al. Reconstituted extracellular vesicles from human platelets decrease viral myocarditis in mice. Small. 2023;19(49):e2303317. Akin C, Valent P, Metcalfe DD. Mast cell activation syndrome: Proposed diagnostic criteria. J Allergy Clin Immunol. 2010;126(6):1099–104. e4. Farley M, Estrada-Mendizabal RJ, Gansert EA, Voelker D, Marks LA, Gonzalez-Estrada A. Prevalence of mast cell activation disorders and hereditary alpha tryptasemia among patients with postural orthostatic tachycardia syndrome and Ehlers-Danlos syndrome: A systematic review. Ann Allergy Asthma Immunol. 2025;135(1):97–102. Zaghmout T, Maclachlan L, Bedi N, Gulen T. Low prevalence of idiopathic mast cell activation syndrome among 703 patients with suspected mast cell disorders. J Allergy Clin Immunol Pract. 2024;12(3):753–61. von Bubnoff D, Koch D, Stocker H, Ludwig RJ, Wortmann F, von Bubnoff N. The clinical features of hereditary alpha-tryptasemia-implications for interdisciplinary practice. Dtsch Arztebl Int. 2024;121(8):258–64. Zalewski P, Slomko J, Zawadka-Kunikowska M. Autonomic dysfunction and chronic disease. Br Med Bull. 2018;128(1):61–74. Arnold LM, Bennett RM, Crofford LJ, Dean LE, Clauw DJ, Goldenberg DL, et al. AAPT diagnostic criteria for fibromyalgia. J Pain. 2019;20(6):611–28. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 31 Mar, 2026 Reviewers agreed at journal 31 Mar, 2026 Reviewers agreed at journal 10 Mar, 2026 Reviewers invited by journal 10 Dec, 2025 Editor assigned by journal 09 Dec, 2025 Submission checks completed at journal 09 Dec, 2025 First submitted to journal 08 Dec, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8310986","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":582300615,"identity":"7a1ecfc4-e059-4015-a1cf-44ca056c1c23","order_by":0,"name":"Frances C. Wilson","email":"","orcid":"","institution":"Mayo Clinic","correspondingAuthor":false,"prefix":"","firstName":"Frances","middleName":"C.","lastName":"Wilson","suffix":""},{"id":582300616,"identity":"c3638092-bca0-4c05-a074-f81d6a7fe567","order_by":1,"name":"Derek J. Zangerle","email":"","orcid":"","institution":"Mayo Clinic","correspondingAuthor":false,"prefix":"","firstName":"Derek","middleName":"J.","lastName":"Zangerle","suffix":""},{"id":582300618,"identity":"c7c1342a-f3c8-4bc5-97d0-458a0915311d","order_by":2,"name":"Ashley A. Darakjian","email":"","orcid":"","institution":"Mayo Clinic","correspondingAuthor":false,"prefix":"","firstName":"Ashley","middleName":"A.","lastName":"Darakjian","suffix":""},{"id":582300619,"identity":"8875efcb-33f5-4bb6-bfa2-598d6f4e2183","order_by":3,"name":"Mira Bhutani","email":"","orcid":"","institution":"Mayo Clinic","correspondingAuthor":false,"prefix":"","firstName":"Mira","middleName":"","lastName":"Bhutani","suffix":""},{"id":582300620,"identity":"ddf0fce9-b920-4541-84b0-0468a7132c2e","order_by":4,"name":"Jessica J. Fliess","email":"","orcid":"","institution":"Mayo Clinic","correspondingAuthor":false,"prefix":"","firstName":"Jessica","middleName":"J.","lastName":"Fliess","suffix":""},{"id":582300621,"identity":"20d048a1-a0d6-4f46-9a22-c4674b6043a2","order_by":5,"name":"Jessica M. Gehin","email":"","orcid":"","institution":"Mayo Clinic","correspondingAuthor":false,"prefix":"","firstName":"Jessica","middleName":"M.","lastName":"Gehin","suffix":""},{"id":582300622,"identity":"a51177db-1757-4488-affa-11e4dc27244f","order_by":6,"name":"Max W. Strandes","email":"","orcid":"","institution":"Mayo Clinic","correspondingAuthor":false,"prefix":"","firstName":"Max","middleName":"W.","lastName":"Strandes","suffix":""},{"id":582300624,"identity":"feb41528-4dd3-46cb-947a-690fadfc84b2","order_by":7,"name":"Charwan Hamilton","email":"","orcid":"","institution":"Mayo Clinic","correspondingAuthor":false,"prefix":"","firstName":"Charwan","middleName":"","lastName":"Hamilton","suffix":""},{"id":582300625,"identity":"dfbe6e4e-eed3-476f-a77e-763798715c3b","order_by":8,"name":"Hanna J. Sledge","email":"","orcid":"","institution":"Mayo Clinic","correspondingAuthor":false,"prefix":"","firstName":"Hanna","middleName":"J.","lastName":"Sledge","suffix":""},{"id":582300626,"identity":"2425ade1-e199-4b9a-a617-9c6c627d4f18","order_by":9,"name":"David O. Hodge","email":"","orcid":"","institution":"Mayo Clinic","correspondingAuthor":false,"prefix":"","firstName":"David","middleName":"O.","lastName":"Hodge","suffix":""},{"id":582300627,"identity":"b84fdea6-0912-4afa-8f51-cf045197691a","order_by":10,"name":"Benjamin W.E. Wang","email":"","orcid":"","institution":"Mayo Clinic","correspondingAuthor":false,"prefix":"","firstName":"Benjamin","middleName":"W.E.","lastName":"Wang","suffix":""},{"id":582300629,"identity":"f842f9aa-60b4-4a96-bc37-07488e7c9749","order_by":11,"name":"Paldeep S. Atwal","email":"","orcid":"","institution":"Atwal Clinic, West Palm Beach","correspondingAuthor":false,"prefix":"","firstName":"Paldeep","middleName":"S.","lastName":"Atwal","suffix":""},{"id":582300630,"identity":"770817d3-686c-4a23-a104-9c4f9bd043c3","order_by":12,"name":"Ashley M. Zeman","email":"","orcid":"","institution":"Mayo Clinic","correspondingAuthor":false,"prefix":"","firstName":"Ashley","middleName":"M.","lastName":"Zeman","suffix":""},{"id":582300633,"identity":"78a178d7-27fe-47bc-b7a7-4a4d2723ebcf","order_by":13,"name":"Chrisandra L. Shufelt","email":"","orcid":"","institution":"Mayo Clinic","correspondingAuthor":false,"prefix":"","firstName":"Chrisandra","middleName":"L.","lastName":"Shufelt","suffix":""},{"id":582300635,"identity":"009559d8-ee4d-4677-8a2e-78231b32f37d","order_by":14,"name":"Shilpa N. Gajarawala","email":"","orcid":"","institution":"Mayo Clinic","correspondingAuthor":false,"prefix":"","firstName":"Shilpa","middleName":"N.","lastName":"Gajarawala","suffix":""},{"id":582300639,"identity":"8d68e987-6c18-4119-920a-1f862b56ba87","order_by":15,"name":"Katelyn A. Bruno","email":"","orcid":"","institution":"University of Florida","correspondingAuthor":false,"prefix":"","firstName":"Katelyn","middleName":"A.","lastName":"Bruno","suffix":""},{"id":582300641,"identity":"84eb6617-0d3e-40a0-89ca-b37167da22af","order_by":16,"name":"Dacre R.T. Knight","email":"","orcid":"","institution":"Mayo Clinic","correspondingAuthor":false,"prefix":"","firstName":"Dacre","middleName":"R.T.","lastName":"Knight","suffix":""},{"id":582300642,"identity":"773a5391-f707-4243-b582-298fa461cfd7","order_by":17,"name":"DeLisa Fairweather","email":"data:image/png;base64,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","orcid":"","institution":"Mayo Clinic","correspondingAuthor":true,"prefix":"","firstName":"DeLisa","middleName":"","lastName":"Fairweather","suffix":""}],"badges":[],"createdAt":"2025-12-08 20:53:10","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8310986/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8310986/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":101499614,"identity":"4113bf8f-d05c-4a1f-947a-b8b84e8b41ed","added_by":"auto","created_at":"2026-01-30 13:12:16","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":86054,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSex differences in MC score and extracellular matrix proteins in females and males with hEDS and HSD. \u003c/strong\u003eDistribution of the MC score in females vs. males for patients with a) hEDS or b) HSD. Average MC score showing median and quartiles for females (F) and males (M) with c) hEDS or d) HSD. P values were determined using two-tailed Fisher’s exact tests. e) Odds ratios with 95% confidence intervals comparing hEDS and HSD patients with low (0-1) vs. high (≥5) MC scores for consensus MC activation symptoms.(25) P values were determined using two-tailed Fischer’s exact test. f) Total IgE in serum of patients with hEDS or HSD was examined by ELISA comparing patients with low MC score (Lo MC) vs. high MC score (Hi MC). Data are shown as median ±quartiles using a one-tailed Mann-Whitney rank test (Lo MC, \u003cem\u003en\u003c/em\u003e = 37; Hi MC \u003cem\u003en\u003c/em\u003e = 43). Human g) collagen4α1 (\u003cem\u003en\u003c/em\u003e= 39/sex), h) laminin (\u003cem\u003en\u003c/em\u003e = 39/sex), and i) CCN6 (\u003cem\u003en\u003c/em\u003e = 25/sex) levels in serum of females vs. males with hEDS/HSD were examined by ELISA. Data are shown as median ±quartiles using a one-tailed Mann-Whitney rank test.\u003c/p\u003e","description":"","filename":"Onlinefloatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-8310986/v1/2f4120b7122b825db1c8de35.png"},{"id":101499679,"identity":"43e68f42-c664-46db-9155-ba8ce5b219af","added_by":"auto","created_at":"2026-01-30 13:12:33","extension":"jpeg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":148319,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSymptoms and comorbidities increased in males with hEDS or HSD. \u003c/strong\u003eOnly 5 out of 122 (4.4%) symptoms/comorbidities were significantly increased in males compared to females with hEDS or HSD. P-values were obtained using two-tailed Fisher’s exact tests comparing females to males by diagnosis: *, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.05; **, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01; ***, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001.\u003c/p\u003e","description":"","filename":"floatimage2.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-8310986/v1/90aae59332f699ed290529f5.jpeg"},{"id":101499849,"identity":"8f16e7a9-d12a-4671-9830-6ecb127997b1","added_by":"auto","created_at":"2026-01-30 13:13:11","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3093202,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8310986/v1/78ec9bb4-c19d-4e9c-b9bb-ed93b8f6e398.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Sex differences in self-reported symptoms and comorbidities associated with hypermobile Ehlers-Danlos syndrome and hypermobility spectrum disorders: A retrospective study","fulltext":[{"header":"Plain English Summary","content":"\u003cp\u003eHypermobile Ehlers-Danlos syndrome (hEDS) and hypermobility spectrum disorders (HSD) are inherited conditions that affect the body\u0026rsquo;s connective tissues, leading to joint hypermobility, chronic pain, and a variety of other symptoms. Although these disorders should occur equally in men and women, most diagnosed patients are women. This study examined possible reasons for that difference by comparing symptoms and health conditions reported by 2,451 adults diagnosed with hEDS or HSD at the Mayo EDS Clinic in Florida between 2019 and 2025. We found that over 90% of hEDS and HSD patients were female, with a female-to-male ratio ranging from 10:1 to 20:1. Women were slightly older than men and reported more symptoms and associated health problems. Men more often reported only a few conditions, including ADHD, developmental delays, snoring, autism, and sleep apnea. Women with HSD reported more mast cell symptoms, a type of immune cell that releases chemicals like histamine and may contribute to tissue remodeling and hypermobility. These higher mast cell symptoms were associated with more allergy symptoms, like hives, and higher IgE levels in the blood. Women with HSD were also more likely to have fibromyalgia and symptoms of autonomic dysfunction (such as dizziness or heart rate changes). Overall, our findings suggest that biological sex differences- possibly through mast cell activation- may drive differences in disease severity and symptom patterns. This may explain why more women are diagnosed and seek treatment for hEDS and HSD, while men may remain underdiagnosed or less affected.\u003c/p\u003e"},{"header":"Highlights","content":"\u003cul\u003e\n \u003cli\u003eMore females than males attended the EDS Clinic with a sex ratio of around 10:1 in hEDS and 20:1 in HSD.\u003c/li\u003e\n \u003cli\u003eFemales with hEDS (25%) and HSD (48%) reported more of 122 symptoms/comorbidities than males (4%).\u003c/li\u003e\n \u003cli\u003eFemales with HSD reported around 2x more symptoms/comorbidities than hEDS females.\u003c/li\u003e\n \u003cli\u003eFemales reported more mast cell-related symptoms/comorbidities than males.\u003c/li\u003e\n \u003cli\u003eAside from abuse, few sex differences existed in psychological issues.\u003c/li\u003e\n\u003c/ul\u003e"},{"header":"Background","content":"\u003cp\u003eHypermobile Ehlers-Danlos syndrome (hEDS) and hypermobility spectrum disorders (HSD) are connective tissue disorders associated with a wide array of symptoms and comorbidities including joint hypermobility and widespread pain.(\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e) The hypermobile forms of EDS, hEDS and HSD, are believed to be the most common types of EDS based on survey data.(\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e) Unlike other forms of EDS, genetic variants leading to hEDS and HSD have not yet been identified; however, both conditions are assumed to involve extracellular matrix (ECM) remodeling due to dysfunction of collagen or other connective tissue proteins.(\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e) Diagnosis of hEDS and HSD is based on the 2017 diagnostic criteria created by the International EDS Consortium.(\u003cspan additionalcitationids=\"CR5\" citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e) Comorbidities associated with hEDS/HSD include subluxations, dislocations, chronic pain, fatigue, headache, migraine, anxiety, neurological, gastrointestinal (GI) and other symptoms leading to a reduced quality of life.(\u003cspan additionalcitationids=\"CR8 CR9\" citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e) Due to the complexity of hEDS/HSD and a limited number of specialists, survey data indicates it can take from 14\u0026ndash;28 years to obtain a diagnosis.(\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eWe previously reported that around 70% of hypermobile patients seen at our EDS Clinic were also diagnosed with fibromyalgia,(\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e) a disorder associated with widespread joint and muscle pain and fatigue. Patients that were diagnosed with hEDS or HSD and fibromyalgia self-reported more widespread symptoms/comorbidities than those without a fibromyalgia diagnosis.(\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e) We also previously reported that hEDS patients self-report more symptoms/comorbidities associated with ECM dysregulation such as dislocations, hernias and prolapses while patients with HSD report more organ or system issues such as joint/muscle symptoms, GI complaints, and neurological symptoms suggesting there may be important pathologic differences between the two diagnoses.(\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e) Other studies have had similar findings,(\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan additionalcitationids=\"CR13 CR14 CR15 CR16\" citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e) although how much symptom overlap exists between the two diagnoses is being debated.(\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e) Understanding whether similarities and differences exist are critical as the field considers revising the diagnostic guidelines.\u003c/p\u003e \u003cp\u003eAnother factor that may reveal pathogenic drivers of disease are whether sex differences exist in symptoms and comorbidities in hEDS and HSD patients. Although hEDS is an autosomal dominant disorder with an expected sex ratio of 1:1, many studies have shown a 9:1 or greater female-to-male sex ratio indicating that sex differences exist.(\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e) However, few studies have examined sex differences in symptoms/comorbidities in hEDS and HSD.(\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e) A recent study by Petrucci et al. examined 23 symptoms and comorbidities by sex in 2,149 patients diagnosed with hEDS.(\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e) Although the Petrucci et al. study reported symptoms and comorbidities by sex, they did not analyze the data according to sex. In this study, we analyzed data by sex for 122 symptoms/comorbidities in over 2,400 patients diagnosed with hEDS or HSD using the 2017 diagnostic criteria to better understand sex differences in symptoms/comorbidities in the two diagnoses.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003eEthics statement\u003c/p\u003e \u003cp\u003e The Institutional Review Board (IRB) of Mayo Clinic approved the retrospective analysis of demographic and clinical data from medical records for this study and waived informed consent for all patients (IRB# 19-011260). The IRB of Mayo Clinic approved the prospective study of samples and informed consent was obtained for all patients (IRB# 19-010260). The research conformed to the principles outlined in the Declaration of Helsinki.\u003c/p\u003e \u003cp\u003ePrimary patient population\u003c/p\u003e \u003cp\u003eA total of 2,451 patients were seen at the EDS Clinic in Mayo Clinic Florida from November 1, 2019, to April 25, 2025, and were used for an analysis of sex differences based on the Intake Questionnaire.(\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e) Individuals were either self-referred or referred through clinicians within or outside of Mayo Clinic. Diagnosis of hEDS or HSD was established by physician experts using the 2017 diagnostic criteria,(\u003cspan additionalcitationids=\"CR5\" citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e) as previously.(\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e) Briefly, the diagnostic criteria for hEDS includes identification of generalized joint hypermobility (GJH) of specific joints using the Beighton Scale (past puberty\u0026thinsp;\u0026ge;\u0026thinsp;5/9 and over 50 years of age\u0026thinsp;\u0026ge;\u0026thinsp;4/9), evidence of a systemic connective tissue disorder, family history and/or musculoskeletal complications, and several exclusions.(\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e) HSD is diagnosed in patients that do not meet the diagnostic criteria for hEDS but have a positive Beighton Score (\u0026ge;\u0026thinsp;5/9 and \u0026ge;\u0026thinsp;4/9 for older patients) and evidence that the joint hypermobility is causing widespread problems and is not just an asymptomatic feature (feature C of the 2nd EDS criterion).(\u003cspan additionalcitationids=\"CR5\" citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e) We did not include patients diagnosed with localized, historical or peripheral HSD in this study.(\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eData collection\u003c/p\u003e \u003cp\u003eAdults (\u0026ge;\u0026thinsp;18 years of age) that were diagnosed with hEDS or HSD were included in the retrospective and prospective study. Additionally, patients that were able to sign a consent form were included in the prospective study. Prior to their first appointment at the Mayo Clinic Florida EDS Clinic, patients completed a REDCap Intake Questionnaire as part of their clinical care which asked questions about symptoms and comorbidities in all areas of the body.(\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e) The REDCap was designed by Drs. Bruno and Fairweather based on patient symptoms. The Intake Questionnaire questions are based on organs or systems like joints, neurological or gastrointestinal symptoms and comorbidities.(\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e) Data in the manuscript are organized in this manner. A total of 122 of the questions from the Intake Questionnaire were analyzed in this study.\u003c/p\u003e \u003cp\u003eMast cell score\u003c/p\u003e \u003cp\u003eThe mast cell (MC) score was newly developed by Drs. Fairweather and Bruno and is based on a range of MC responses (i.e., allergy, atopy, asthma). A higher MC score indicates higher MC activity. In a separate study from the main sex differences analysis, MC symptom data from 1,942 patients were obtained from June 17, 2020, to October 9, 2025, and used to obtain MC scores based on diagnosis and sex. To obtain the MC score patients were asked a series of 11 questions related to categories of MC activity that included: 1. Do you have any environmental allergies? 2. Do you have a venom (i.e., snake bite) or stinging insect (i.e., bee) allergy? 3. Do you have any food allergies? 4. Do you have any drug/chemical allergies? 5. Do you have allergic rhinitis, otherwise known as hay fever? 6. Do you have atopic dermatitis (eczema)? 7. Do you have atopy (a hypersensitivity reaction that occurs in any area of the body that is not in contact with the allergen; often occurs on skin)? 8. Do you currently have or have ever had asthma? Have you been told that you have a hyper immune response like mast cell activation including: 9. Mast cell activation syndrome (MCAS)? 10. Overactive mast cells? 11. Tryptase mutation? A minimum of 10 of the 11 questions were required to be answered for a valid score. Each \u0026lsquo;yes\u0026rsquo; answer was given a value of \u0026lsquo;1\u0026rsquo; so that the MC score ranged from 0/11 to 11/11 and can be shown as an average\u0026thinsp;\u0026plusmn;\u0026thinsp;SD comparing groups, similar to the adverse childhood events (ACE) score.(\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e) Alternatively, based on the distribution of MC scores by diagnosis and sex (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ea,b), MC scores of 0\u0026ndash;1 were chosen to represent low MC scores (Lo MC) and MC scores of \u0026ge;\u0026thinsp;5 were chosen to represent high MC scores (Hi MC).\u003c/p\u003e \u003cp\u003eIn a separate study, comparisons were made between male and female patients with low vs. high MC scores by diagnosis for symptoms/comorbidities. MC score data from 1,292 patients with high or low MC scores were obtained from June 6, 2020, to June 3, 2025. This analysis included males and females for each diagnosis and was used to generate the odds ratios found in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ee.\u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eELISA\u003c/h2\u003e \u003cp\u003eEnzyme-linked immunosorbent assays (ELISAs) were used to determine the level of total IgE, collagen-4α1, fibronectin and cellular communication network factor 6 (CCN6) in the serum of females and males diagnosed with hEDS or HSD. The following human kits were used: total IgE (Invitrogen, catalog #BMS2097, limit of detection 0.5 ng/mL), collagen-4α1 (Antibodies Online, catalog #ABIN1114261, limit of detection 0.31 ng/mL), laminin (Abcam, catalog #ab119599, limit of detection 10 pg/mL), and cellular communication network factor 6 (CCN6) (Assay Genie, catalog # HUFI00701, limit of detection 56.25 pg/mL). The number of patients used per group for each ELISA is listed in the figure legend.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis\u003c/h2\u003e \u003cp\u003eContinuous variables were summarized in tables with the sample mean and range and in figures with mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD. Categorical variables were summarized in tables with number and percentage of subjects. Fisher\u0026rsquo;s exact tests were used to compare categorical variables between two groups. Student\u0026rsquo;s \u003cem\u003et\u003c/em\u003e test or Mann-Whitney rank test was used to compare continuous variables between two groups. Fischer\u0026rsquo;s exact test was used to determine odds ratios with 95% confidence intervals. The specific tests that were used are listed in the legends of the tables and figures. Bonferroni correction of the 122 categorical variables in this study indicated that a p-value\u0026thinsp;\u0026lt;\u0026thinsp;0.0004 was significant. There were no comparisons in this study from the questionnaire with p-values\u0026thinsp;\u0026lt;\u0026thinsp;0.0004. Considering the numerous symptoms/comorbidities in this study with known sex differences in the general population and during disease, this suggested type II errors. For this reason, data are presented without Bonferroni correction and p-values\u0026thinsp;\u0026lt;\u0026thinsp;0.05 were considered statistically significant. All statistical analyses were conducted using SAS version 9.4M9, Microsoft Excel and/or GraphPad PRISM 10.6.0.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":" \u003cp\u003ePatient demographics\u003c/p\u003e \u003cp\u003eOf the 2,451 patients who were diagnosed with hEDS or HSD at the EDS Clinic using the 2017 diagnostic criteria,(\u003cspan additionalcitationids=\"CR5\" citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e) we found that 74.1% (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;1,816) were diagnosed with HSD, and 25.9% (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;635) with hEDS. Of the 635 patients diagnosed with hEDS, 90.6% (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;575) were female and 9.4% (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;60) were male with a sex ratio of 9.6:1 female-to-male (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Of the 1,816 patients diagnosed with HSD, 95.2% (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;1,728) were female and 4.8% (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;88) were male with a sex ratio of 19.6:1 female-to-male (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). We also found that females were older than males for both diagnoses: hEDS 35 vs. 28 years of age (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), HSD 34 vs. 31 years of age (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.004). There were no significant differences in race/ethnicity between males and females with hEDS or HSD, and most patients were White, non-Hispanic (around 90\u0026ndash;95%) (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). The highest level of education was significantly different between males and females for HSD (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.001) but not for hEDS (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.07) (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDemographics of female vs. male patients diagnosed at the EDS Clinic (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;2,451)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ehEDS\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;575)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ehEDS Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;60)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eHSD Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;1,728)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eHSD Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;88)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eMedian age (SD)\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e35.3 (11.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e28.3 (9.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e34.4 (12.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e30.6 (13.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.004\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eRace\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAmerican Indian/ Alaska native\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e9 (1.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1 (1.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.95\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e26 (1.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.57\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAsian\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e9 (1.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.33\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e34 (2.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.18\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBlack or African American\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e19 (3.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e42 (2.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.92\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNative Hawaii/ Pacific Islander\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1 (0.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e4 (0.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.65\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWhite\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e514 (89.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e54 (90.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1619 (93.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e85 (96.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.27\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e17 (3.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1 (1.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.57\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e46 (2.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.82\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnknown/ not disclosed\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e7 (1.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e16 (0.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.36\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eEthnicity\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.80\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.45\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHispanic/ Latino\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e39 (7.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3 (5.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e138 (8.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e4 (4.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNot Hispanic/ Latino\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e493 (90.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e53 (93.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1531 (89.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e80 (92.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eChoose not to disclose/unknown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e14 (2.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1 (1.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e43 (2.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e3 (3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eHighest level of education\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSome high school\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e10 (1.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5 (9.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e68 (4.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e12 (13.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHigh school/GED\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e42 (8.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7 (12.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e145 (8.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e9 (10.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSome college\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e118 (22.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e13 (23.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e358 (21.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e21 (24.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTrade school\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e21 (4.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e77 (4.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e4 (4.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAssociates\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e66 (12.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6 (10.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e194 (11.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e6 (6.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBachelors\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e156 (29.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e14 (25.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e515 (30.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e19 (21.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMasters\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e79 (15.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4 (7.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e249 (14.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e8 (9.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eProfessional/ doctorate\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e29 (5.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4 (7.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e91 (5.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e7 (8.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNot disclosed\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e4 (0.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e9 (0.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1 (1.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003e\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e (\u003cem\u003en\u003c/em\u003e, %), \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e Fisher\u0026rsquo;s exact test or Kruskal-Wallis rank sum compares differences in categorical variables between groups. Student\u0026rsquo;s \u003cem\u003et\u003c/em\u003e test or Mann-Whitney rank test compares the differences between continuous variables between groups. \u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e Bold indicates significant value.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThere were no significant differences between females vs. males with hEDS or HSD for BMI, number of cigarettes smoked/day, number of alcoholic drinks consumed on average/week, alcohol exposure before birth, or exposure to drugs as a baby (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). However, we observed sex differences for several other environmental exposures. We found that more male hEDS patients were current smokers (Female 10.1%, Male 17.5%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.005) and illicit drug users (Female 2.6%, Male 8.8%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.036) than females (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). There were no sex differences for current smoking or illicit drug use in HSD patients. However, females with HSD had more current alcohol consumption than males (Female 51.5%, Male 44.8%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.007) (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eSelf-reported environmental exposures (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;2,451)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ehEDS\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;575)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ehEDS Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;60)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eHSD Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;1,728)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eHSD Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;88)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eBMI\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.80\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMean (SD)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e24.9 (5.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e25.1 (4.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e26.3 (5.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e25.3 (5.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRange\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e23.5 (16.6, 39.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e24.5 (16.6, 36.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e25.2 (16.6, 40.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e24.2 (17.5, 39.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eSmoking history\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.005\u003c/b\u003e\u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes-Currently\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e55 (10.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e10 (17.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e146 (8.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e12 (13.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes-Past\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e108 (19.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6 (10.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e282 (16.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e9 (10.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e379 (69.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e39 (68.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1271 (74.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e66 (75.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnknown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2 (0.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e13 (0.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eNumber of cigarettes smoked/day\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.61\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1\u0026ndash;5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e28 (17.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1 (6.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e83 (19.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1 (4.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u0026ndash;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e19 (11.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (12.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e49 (11.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2 (9.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e10\u0026ndash;20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e18 (11.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e46 (10.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e3 (14.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026gt;\u0026thinsp;20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e11 (6.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e16 (3.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1 (4.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnknown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e25 (15.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (12.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e68 (15.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e3 (14.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVaping\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e60 (37.3%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e11 (68.8%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e166 (38.8%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e11 (52.4%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eAlcohol consumption\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.007\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes-Currently\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e292 (53.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e24 (42.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e881 (51.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e39 (44.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes-Past\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e153 (28.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e16 (28.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e444 (25.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e15 (17.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e94 (17.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e15 (26.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e382 (22.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e33 (37.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnknown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e5 (0.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e5 (0.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eNumber of alcoholic drinks consumed on average/ week\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.61\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.60\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e0\u0026ndash;1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e168 (37.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e10 (25.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e536 (40.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e25 (46.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u0026ndash;3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e86 (19.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e10 (25.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e216 (16.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e6 (11.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e34 (7.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4 (10.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e111 (8.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e5 (9.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e7+\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e15 (3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (5.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e37 (2.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e3 (5.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1\u0026ndash;2 drinks/ month\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e121 (27.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e11 (27.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e394 (29.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e13 (24.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnknown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e19 (4.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3 (7.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e31 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2 (3.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eAlcohol exposure before birth\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.44\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.36\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e15 (2.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1 (1.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e34 (2.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e461 (87.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e45 (83.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1492 (87.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e76 (87.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnknown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e50 (9.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8 (14.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e181 (10.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e11 (12.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eIllicit drug use\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.036\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes-Currently\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e14 (2.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5 (8.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e59 (3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e6 (6.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes-Past\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e42 (7.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7 (12.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e104 (6.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e8 (9.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e458 (84.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e43 (75.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1459 (85.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e72 (82.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnknown/ choose not to disclose\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e31 (5.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e90 (5.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1 (1.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eExposure to drugs as a baby\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.43\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.76\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e14 (2.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e45 (2.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e460 (85.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e44 (78.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1475 (86.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e73 (83.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnknown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e66 (12.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e10 (17.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e193 (11.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e12 (13.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003e\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e (\u003cem\u003en\u003c/em\u003e, %), \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e Fisher\u0026rsquo;s exact test compares differences in categorical variables between groups. Student\u0026rsquo;s \u003cem\u003et\u003c/em\u003e test or Mann-Whitney rank test compares the differences between continuous variables between groups. \u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e Bold indicates significant value.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e\n\u003ch3\u003eJoint, muscle weakness and bruising\u003c/h3\u003e\n\u003cp\u003eJoint pain (Female 90.3%, Male 76.7%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), sprains (Female 75.1%, Male 50.0%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), and easy bruising (Female 56.7%, Male 23.3%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) were all self-reported more often in females with hEDS compared to males (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). However, joint pain (Female 94.6%, Male 87.5%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.005), subluxations (Female 76.4%, Male 64.8%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.013), sprains (Female 69.3%, Male 50.0%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), easy bruising (Female 64.6%, Male 28.4%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), and temporomandibular joint (TMJ) symptoms (Female 49.0%, Male 27.3%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) were self-reported more often in females with HSD compared to males. Nothing in this category was reported more often in males than females. Another way to view the data is that 4/7 (57.1%) of these symptoms were the same in males and females with hEDS, while only 2/7 (28.6%) were the same by sex in HSD (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e), suggesting that sex differences occurred more often in HSD than in hEDS patients.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eJoint symptoms/comorbidities in patients with hEDS or HSD (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;2,451)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ehEDS\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;575)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ehEDS Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;60)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eHSD Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;1,728)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eHSD Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;88)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eJoint pain\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e519 (90.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e46 (76.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.001\u003c/b\u003e\u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1635 (94.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e77 (87.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.005\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSubluxations\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e448 (77.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e43 (71.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1320 (76.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e57 (64.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.013\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSprains\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e432 (75.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e30 (50.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1198 (69.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e44 (50.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEasy bruising\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e326 (56.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e14 (23.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1117 (64.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e25 (28.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMuscle weakness\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e278 (48.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e24 (40.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e975 (56.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e45 (51.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.33\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTMJ symptoms\u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e244 (42.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e22 (36.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.39\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e847 (49.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e24 (27.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDislocations\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e231 (40.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e25 (41.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.82\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e525 (30.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e27 (30.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.95\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo joint issues\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6 (1.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4 (6.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e28 (1.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e3 (3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.21\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003e\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e (\u003cem\u003en\u003c/em\u003e, %), \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e Fisher\u0026rsquo;s exact test compares differences in categorical variables between groups. \u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e Bold indicates significant value. \u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e Abbreviations: TMJ, temporomandibular joint symptoms.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eTeeth and jaw symptoms/comorbidities\u003c/p\u003e \u003cp\u003eThe presence of a high or narrow palate was the only symptom/comorbidity in this category that showed a sex difference for patients with hEDS (1/7, 14.3%), occurring more often in females than males (Female 31.3%, Male 18.3%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.037) (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). In contrast, sex differences occurred in 6/7 (85.7%) of teeth and jaw symptoms/comorbidities in patients with HSD, occurring more often in females. Nothing in this category was reported more often in males than females. Thus, sex differences occurred more frequently in this category among HSD patients, whereas both males and females with hEDS reported experiencing these symptoms.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eTeeth and jaw symptoms/comorbidities self-reported in patients with hEDS or HSD (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;2,451)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ehEDS\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;575)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ehEDS Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;60)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eHSD Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;1,728)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eHSD Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;88)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBraces needed as a child or adult\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e393 (68.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e39 (65.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1135 (65.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e46 (52.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.010\u003c/b\u003e\u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCavities\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e326 (56.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e29 (48.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e934 (54.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e36 (40.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.016\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBleeding gums\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e284 (49.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e33 (55.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.41\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e861 (49.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e24 (27.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTMJ symptoms\u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e244 (42.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e22 (36.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.39\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e847 (49.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e24 (27.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTeeth being pulled out/ overcrowding\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e279 (48.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e22 (36.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e703 (40.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e26 (29.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.038\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHigh or narrow palate\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e180 (31.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e11 (18.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.037\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e444 (25.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e11 (12.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.005\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBrittle teeth\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e104 (18.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e11 (18.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.96\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e234 (13.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e6 (6.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNone\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e32 (5.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3 (5.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e142 (8.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e17 (19.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003e\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e (\u003cem\u003en\u003c/em\u003e, %), \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e Fisher\u0026rsquo;s exact test compares differences in categorical variables between groups. \u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e Bold indicates significant value. \u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e Abbreviations: TMJ, temporomandibular joint symptoms.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e\n\u003ch3\u003eMast cell-related symptoms/comorbidities\u003c/h3\u003e\n\u003cp\u003eFirst, we examined whether patients self-reported more mast cell (MC) symptoms based on 11 self-reported symptoms related to allergies, atopy and asthma, for example (see Methods), from the Intake Questionnaire to create an MC score with a range of 0/11 to 11/11. A higher MC score indicates more widespread MC activity. The distribution of answers to each of the 11 MC questions by sex and diagnosis is shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ea,b. We found that there was no sex difference in the MC score in females vs. males with hEDS (Females 3.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1 vs. Males 2.7\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.11) while females with HSD had a significantly higher MC score than males (Females 3.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9 vs. Males 2.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.0003) (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e, Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ec,d). Thus, females with HSD have evidence of more MC symptoms than males based on 11 common MC symptom categories. In contrast, females with hEDS had a similar level of MC symptoms as males.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eAllergy-related symptoms/comorbidities in patients with hEDS or HSD (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;2,451)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ehEDS\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;575)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ehEDS Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;60)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eHSD Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;1,728)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eHSD Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;88)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMC score, mean (SD)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e3.3 (2.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2.7 (1.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e3.1 (1.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2.4 (1.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.0003\u003c/b\u003e\u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAllergy/atopy\u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e164 (79.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e15 (60.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e403 (77.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e15 (75.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.96\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEnvironmental allergies\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e368 (68.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e38 (67.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1165 (68.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e49 (56.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.023\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrug allergies\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e230 (61.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e14 (35.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.002\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e798 (55.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e38 (50.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.32\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePalpitations\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e261 (45.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e20 (33.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e844 (48.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e25 (28.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMultiple sensitivities\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e243 (42.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e25 (41.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e842 (48.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e25 (28.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRhinitis\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e226 (42.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e19 (33.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e738 (43.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e24 (27.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.004\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eChest discomfort\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e210 (36.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e24 (40.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.59\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e727 (42.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e38 (43.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.84\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eShortness of breath\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e203 (35.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e13 (21.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.034\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e678 (39.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e26 (29.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFood allergies\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e128 (34.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e10 (25.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e502 (35.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e19 (25.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSun sensitivity\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e147 (25.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e15 (25.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e561 (32.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e15 (17.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.002\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEczema\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e98 (26.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e15 (38.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e393 (27.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e22 (28.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.78\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHives\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e126 (21.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6 (10.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.030\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e388 (22.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e6 (6.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRash\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e121 (21.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7 (11.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e385 (22.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e6 (6.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOral ulcers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e88 (15.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8 (13.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.68\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e342 (19.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e14 (15.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.37\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVenom allergies\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e84 (22.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e233 (16.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e6 (7.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMCAS\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e92 (17.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6 (10.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e190 (11.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e5 (5.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWheezing\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e56 (9.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6 (10.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.95\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e184 (10.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e8 (9.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.64\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTryptase mutation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e5 (0.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.47\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e4 (0.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1 (1.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAsthma history\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAsthma as a child\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e175 (30.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e16 (26.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.54\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e518 (30.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e28 (31.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.71\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAsthma as an adult\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e133 (23.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8 (13.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e387 (22.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e11 (12.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.029\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo asthma\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e263 (45.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e30 (50.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.53\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e900 (52.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e53 (60.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAsthma unknown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e40 (7.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7 (11.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e141 (8.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e6 (6.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.65\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003e\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e (\u003cem\u003en\u003c/em\u003e, %), \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e Fisher\u0026rsquo;s exact test compares differences in categorical variables between groups. \u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e Bold indicates significant value. \u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e Except for MC score and asthma history, order based on highest percentage in HSD females.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eTo further examine the 11 symptoms that we used to generate the MC score, we compared symptoms in hEDS or HSD patients with a low MC score of 0\u0026ndash;1 (Lo MC) to patients with a high MC score of \u0026ge;\u0026thinsp;5 (Hi MC) with males and females combined. We found significantly higher odds ratios (OR) with 95% confidence intervals (CI) in hEDS and HSD patients with high vs. low MC scores for all MC-related self-reported symptoms that were used to derive the MC score including environmental allergies (hEDS OR 144.3, CI 479.8\u0026ndash;1492.0. \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001 ; HSD OR 68.0, OR 116.0-199.0, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), venom allergy (hEDS OR 7.6, CI 18.3\u0026ndash;43.0 \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 20.0, CI 47.3-111.9; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), food allergy (hEDS OR 20.2, CI 49.2-114.9, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 35.4, CI 57.6\u0026ndash;92.9, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), drug allergy (hEDS OR 19.0, CI 34.1\u0026ndash;61.5, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 19.9, CI 28.5\u0026ndash;40.0, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), rhinitis (hEDS OR 43.9, CI 103.5-231.6, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 101.6, CI 183.8-327.8, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), eczema (hEDS OR 12.2, CI 26.3\u0026ndash;54.5, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 9.2, CI 13.4\u0026ndash;19.5, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), atopy (hEDS OR 96.7, CI 456.1\u0026ndash;1987.0, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 47.0, CI 139.4-350.5, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), current or history of asthma (hEDS OR 11.5, CI 24.0-49.3, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 28.6, CI 49.7\u0026ndash;89.0, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), and MC activation syndrome (MCAS) (hEDS OR 6.2, CI 15.0-35.3, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 15.9, CI 41.1-106.2, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001). Data for other MC activation and tryptase mutation are not shown in the graph because of high CIs.\u003c/p\u003e \u003cp\u003eTo further validate the MC score, we examined MC activation symptoms that are part of the criteria for a diagnosis of MCAS according to the consensus statement by Valent et al.(\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e) These symptoms included flushing (hEDS OR 5.3, CI 8.8\u0026ndash;14.3, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 3.3, CI 4.5\u0026ndash;6.1, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), pruritus (itching) (hEDS OR 4.6, CI 7.5\u0026ndash;12.4, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 6.0, CI 8.3\u0026ndash;11.5, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0001), urticaria (hives) (hEDS OR 6.8, CI 11.5\u0026ndash;19.9, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 6.4, CI 9.3\u0026ndash;13.3, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), angioedema (no data), nasal congestion (hEDS OR 29.9, CI 65.2-137.4, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 8.6, CI 12.3\u0026ndash;17.6, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), nasal pruritus (itching) (no data), wheezing (hEDS OR 5.8, CI 17.9\u0026ndash;55.3, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 4.0, CI 6.3\u0026ndash;10.0, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), throat swelling (hEDS OR 7.3, CI 13.5\u0026ndash;24.3, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 3.9, CI 5.7\u0026ndash;8.4, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), headache (hEDS OR 2.3, CI 3.9\u0026ndash;7.1, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 3.5, CI 5.0-7.2, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), hypotension (hEDS OR 1.8, CI 3.0-4.8, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 2.1, CI 3.0-4.3, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001) and diarrhea (hEDS OR 1.7, CI 2.7\u0026ndash;4.1, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; HSD OR 2.6, CI 3.5\u0026ndash;4.7, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001) which all had higher ORs in patients with a high MC score compared to low MC score (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ee).(\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e) We did not include angioedema or nasal pruritus which were not a part of the questionnaire.\u003c/p\u003e \u003cp\u003eAdditionally, we compared total IgE levels in the serum of hEDS/HSD patients with low vs. high MC scores. We found that hEDS/HSD patients with high MC scores had significantly greater serum levels of total IgE than patients with low MC scores (Lo MC \u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;31, Hi MC \u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;47, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.029) (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ef), indicating that greater MC activity is related to a higher MC score.\u003c/p\u003e \u003cp\u003eOne hypothesis put forward is that MC activation contributes to joint remodeling, leading to weakness and increased hypermobility, resulting in more subluxations and dislocations in hEDS and HSD patients.(\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e) To investigate this possibility, we examined whether sex differences existed in the level of collagen and other extracellular matrix (ECM) proteins in the serum by ELISA. We found that females with hEDS/HSD had significantly higher serum levels of collagen-4α1 (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;39/sex, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), laminin (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;39/sex, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.0146), and CCN6 (cellular communication network factor 6) (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;25/sex, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.0067) than males (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eg-i). These findings suggest that females exhibit more MC activation and greater remodeling, which contributes to elevated ECM proteins in the serum, compared to males. Thus, overall, females with hEDS and HSD have indicators of higher MC activity than males.\u003c/p\u003e \u003cp\u003eOut of 21 allergy symptoms and comorbidities examined from the Intake Questionnaire, 5/21 (23.8%) symptoms/comorbidities differed significantly by sex in patients with hEDS, while 10/21 (47.6%) differed by sex in HSD patients (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). As another way to view the data, for hEDS patients 16/21 (76.2%) did not differ by sex, while for HSD 11/21 (52.4%) did not differ by sex (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). Overall, HSD females had more MC-related symptoms/comorbidities than males while most MC symptoms were similar by sex in hEDS patients.\u003c/p\u003e \u003cp\u003eAll allergy symptoms/comorbidities with a significant sex difference occurred more often in females than males for both diagnoses. However, the specific MC symptoms that were worse in females with hEDS and HSD differed by diagnosis. Females with hEDS had more drug allergies (Female 61.7%, Male 35.9%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.002), shortness of breath (Female 35.3%, Male 21.7%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.034), urticaria (hives) (Female 21.9%, Male 10.0%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.030), and venom allergies (Female 22.5%, Male 0.0%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). In contrast, females with HSD had more environmental allergies (Female 68.0%, Male 56.3%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.023), palpitations (Female 48.8%, Male 28.4%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), multiple sensitivities (Female 48.7%, Male 28.4%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), rhinitis (Female 48.7%, Male 28.4%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.004), sun sensitivity (Female 32.5%, Male 17.0%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.002), urticaria (hives) (Female 22.5%, Male 6.8%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), rash (Female 22.3%, Male 6.8%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), and asthma as an adult (Female 22.4%, Male 12.5%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.029) than HSD males (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). Remarkably, none of the issues in hEDS and HSD females were the same, except for hives, which occurred in both. Thus, overall, more females with HSD self-reported allergy symptoms/comorbidities than hEDS females compared to males.\u003c/p\u003e \u003cp\u003eNeurological symptoms/comorbidities\u003c/p\u003e \u003cp\u003eWe examined 34 neurological conditions that are listed in Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e from greatest to lowest percentage based on female patients with HSD. This is one of only two categories where we found conditions that were self-reported more often in males than females (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Males with hEDS self-reported a delay in developmental milestones (hEDS Female 13.7% hEDS Male 26.8%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.030) and autism spectrum disorder (ASD) (hEDS Female 7.1%, hEDS Male 21.7%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) more often than females (Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e, Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). In contrast, males with HSD reported attention deficit disorder (ADD)/attention deficit hyperactivity disorder (ADHD) more often than HSD females (HSD Female 30.1%, HSD Male 44.3%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.005) (Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e, Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). All other significant sex differences occurred more often in females than males in this category. Notably, except for headache/migraine-related symptoms, females and males with hEDS reported similar levels of most neurological symptoms/comorbidities. In contrast, almost all the most common neurological issues in patients with HSD occurred more often in females (Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eWe found that hEDS females self-reported 7/34 (20.6%) neurological conditions more often than males, while HSD females reported 19/34 (55.9%) of these conditions more often than males. Multiple conditions occurred more often in hEDS and HSD females including brain fog (hEDS Female 77.7%, Male 58.3%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001; HSD Female 79.5%, Male 62.5%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), headache (hEDS Female 75.7%, Male 63.3%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.037, HSD Female 73.8%, Male 60.2%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.005), migraine (hEDS Female 58.4%, Male 45.0%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.045, HSD Female 56.5%, Male 36.4%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), sense of imbalance (hEDS Female 45.7%, Male 28.3%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.010, HSD Female 54.6%, Male 38.6%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.003), cold intolerance (hEDS Female 49.0%, Male 25.0%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001, HSD Female 49.2%, Male 28.4%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), vertigo (hEDS Female 41.0%, Male 18.3%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001, HSD Female 41.0%, Male 23.9%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.001), chronic migraine (hEDS Female 30.3%, Male 11.7%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.002, HSD Female 28.6%, Male 11.4%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), and neuropathy (hEDS Female 27.5%, Male 13.3%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.018, HSD Female 25.9%, Male 13.6%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.010) (Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e). The only neurological symptom/comorbidity that occurred more often uniquely in hEDS females was numbness/tingling of extremities (Female 52.3%, Male 36.7%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.021). Neurological symptoms/comorbidities that occurred more often uniquely in HSD females included fibromyalgia (Female 68.5%, Male 50.0%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), lightheadedness (Female 65.7%, Male 43.2%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), heat intolerance (Female 51.1%, Male 28.4%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), palpitations (Female 48.8%, Male 28.4%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), multiple sensitivities (i.e., lights, smells, foods, medicine) (Female 48.7%, Male 28.4%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), dry eyes (Female 41.0%, Male 25.0%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.003), blurred vision (Female 40.0%, Male 22.7%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.001), autonomic dysfunction (Female 32.3%, Male 17.0%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.003), new daily persistent headache (NDPH) (Female 29.6%, Male 18.2%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.021), and abnormal brain MRI (current or past) (Female 10.5%, Male 3.4%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.031) (Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eGastrointestinal symptoms/comorbidities\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eNeurologic symptoms/comorbidities in patients with hEDS or HSD (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;2,451)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ehEDS\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;575)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ehEDS Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;60)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eHSD Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;1,728)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eHSD Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;88)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBrain fog\u003csup\u003e\u003cem\u003ec\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e447 (77.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35 (58.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003csup\u003e\u003cb\u003ed\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1374 (79.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e55 (62.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHeadache\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e435 (75.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e38 (63.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.037\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1276 (73.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e53 (60.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.005\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFibromyalgia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e341 (59.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e30 (50.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1184 (68.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e44 (50.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLightheadedness\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e328 (57.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e33 (55.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.76\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1135 (65.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e38 (43.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNumbness/tingling of extremities\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e301 (52.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e22 (36.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.021\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1086 (62.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e48 (54.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMigraine\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e336 (58.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e27 (45.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.045\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e976 (56.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e32 (36.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSense of imbalance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e263 (45.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e17 (28.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.010\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e944 (54.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e34 (38.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.003\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHeat intolerance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e248 (43.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e24 (40.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.64\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e883 (51.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e25 (28.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTinnitus\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e297 (51.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e28 (46.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.46\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e862 (49.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e40 (45.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCold intolerance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e282 (49.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e15 (25.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e850 (49.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e25 (28.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePalpitations\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e261 (45.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e20 (33.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e844 (48.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e25 (28.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMultiple sensitivities\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e243 (42.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e25 (41.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e842 (48.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e25 (28.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRinging in the ears\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e243 (42.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e25 (41.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e808 (46.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e36 (40.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVertigo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e236 (41.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e11 (18.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e709 (41.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e21 (23.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDry eyes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e208 (36.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e17 (28.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e708 (41.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e22 (25.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.003\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBlurred vision\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e217 (37.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e18 (30.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e691 (40.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e20 (22.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIncreased sweating\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e180 (31.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e20 (33.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e661 (38.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e30 (34.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.43\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDry mouth\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e175 (30.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e16 (26.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.54\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e606 (35.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e22 (25.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAutonomic dysfunction\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e214 (37.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e16 (26.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e558 (32.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e15 (17.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.003\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADD/ADHD \u003csup\u003e\u003cem\u003ee\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e159 (27.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e22 (36.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e520 (30.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e39 (44.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.005\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNew daily persistent headache\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e166 (28.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e11 (18.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e512 (29.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e16 (18.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.021\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eChronic migraine\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e174 (30.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7 (11.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.002\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e495 (28.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e10 (11.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNeuropathy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e158 (27.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8 (13.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.018\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e448 (25.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e12 (13.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.010\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSevere illnesses in childhood\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e149 (27.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e18 (32.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.76\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e435 (25.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e22 (25.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHearing difficulties\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e127 (22.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e9 (15.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e413 (23.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e21 (23.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCluster headache\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e76 (13.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7 (11.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e273 (15.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e12 (13.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.59\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDelay in developmental milestones\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e74 (13.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e15 (26.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.030\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e212 (12.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e14 (16.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDyslexia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e56 (9.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4 (6.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.44\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e192 (11.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e10 (11.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.94\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAbnormal brain MRI\u003c/p\u003e \u003cp\u003e(current or past)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e84 (14.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4 (6.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e182 (10.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e3 (3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.031\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTaste (loss/change)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e47 (8.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5 (8.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.97\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e182 (10.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e7 (8.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.44\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAutism spectrum disorder (ASD)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e41 (7.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e13 (21.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e149 (8.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e7 (8.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.83\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIntracranial hypertension\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e30 (5.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.53\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e67 (3.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.44\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eChiari malformation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e21 (3.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.90\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e59 (3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e3 (3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCSF leak\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e20 (3.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3 (5.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.55\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e41 (2.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e3 (3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.54\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e99 (17.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e9 (15.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.66\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e318 (18.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e16 (18.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.96\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnknown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e3 (0.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1 (1.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.29\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e26 (1.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1 (1.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.78\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo issues\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e5 (0.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6 (10.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e41 (2.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e10 (11.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003e\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e (\u003cem\u003en\u003c/em\u003e, %), \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e Fisher\u0026rsquo;s exact test compares differences in categorical variables between groups. \u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e Order based on highest percentage in HSD females. \u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e Bold indicates significant value. \u003csup\u003e\u003cb\u003ee\u003c/b\u003e\u003c/sup\u003e Abbreviations: ADD; attention deficit disorder; ADHD attention deficit hyperactivity disorder; ASD, autism spectrum disorder; CSF, cerebral spinal fluid; MRI, magnetic resonance imaging.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eWe examined 19 gastrointestinal (GI) symptoms/comorbidities that are listed from greatest to lowest percentage in Table\u0026nbsp;\u003cspan refid=\"Tab7\" class=\"InternalRef\"\u003e7\u003c/span\u003e based on self-reported data from female patients with HSD. All significant sex differences occurred more often in females than males in this category. We found that hEDS females self-reported 5/19 (26.3%) GI conditions more often than males, while HSD females reported 8/19 (42.1%) of these conditions more often than males. Several GI symptoms occurred more often in hEDS and HSD females including nausea (hEDS Female 62.6%, Male 46.7%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.016, HSD Female 64.1%, Male 38.6%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), constipation (hEDS Female 61.7%, Male 40.0%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.001, HSD Female 62.2%, Male 31.8%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), and vomiting (hEDS Female 34.3%, Male 15.0%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.002, HSD Female 33.9%, Male 18.2%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.002) (Table\u0026nbsp;\u003cspan refid=\"Tab7\" class=\"InternalRef\"\u003e7\u003c/span\u003e). Dyspepsia (heartburn) (Female 31.5%, Male 16.7%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.017) and hemorrhoids (Female 36.5%, Male 20.0%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.011) occurred uniquely more often in females with hEDS than males. Unique GI symptoms/comorbidities in females with HSD included pain/cramps in lower abdomen (Female 57.3%, Male 35.2%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), diarrhea (Female 55.8%, Male 36.4%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), bowel cramps (Female 50.9%, Male 39.8%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.041), and irritable bowel syndrome (Female 37.5%, Male 21.6%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.003). None of the GI issues occurred more often in males with hEDS or HSD. Thus, overall, the symptoms/comorbidities that affected most hEDS and HSD patients (\u0026gt;\u0026thinsp;60%) (i.e., nausea and constipation) occurred more often in females than males.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab7\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 7\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eGastrointestinal symptoms/comorbidities in patients with hEDS or HSD (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;2,451)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ehEDS\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;575)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ehEDS Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;60)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eHSD Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;1,728)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eHSD Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;88)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNausea\u003csup\u003e\u003cem\u003ec\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e360 (62.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e28 (46.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.016\u003c/b\u003e\u003csup\u003e\u003cb\u003ed\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1107 (64.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e34 (38.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eConstipation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e355 (61.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e24 (40.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1074 (62.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e28 (31.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePain/cramps in lower abdomen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e281 (48.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e26 (43.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.41\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e991 (57.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e31 (35.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDiarrhea\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e311 (54.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e31 (51.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.72\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e964 (55.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e32 (36.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBowel cramps\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e253 (44.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e24 (40.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.55\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e880 (50.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e35 (39.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.041\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGERD (reflux)\u003csup\u003e\u003cem\u003ee\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e242 (42.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e20 (33.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e762 (44.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e37 (42.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.70\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLoss of appetite\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e197 (34.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e19 (31.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.69\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e669 (38.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e25 (28.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIrritable bowel syndrome (IBS)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e203 (35.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e16 (26.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e648 (37.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e19 (21.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.003\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDyspepsia (heartburn)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e181 (31.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e10 (16.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.017\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e640 (37.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e26 (29.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFrequent loose stools\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e191 (33.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e25 (41.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e612 (35.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e26 (29.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVomiting\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e197 (34.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e9 (15.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.002\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e585 (33.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e16 (18.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.002\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHemorrhoids\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e210 (36.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12 (20.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.011\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e507 (29.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e20 (22.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.18\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGastroparesis\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e113 (19.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12 (20.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.95\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e347 (20.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e12 (13.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFissure (tear in anus)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e83 (14.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7 (11.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e210 (12.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e7 (8.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.24\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRectal prolapse\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e46 (8.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5 (8.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e84 (4.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFecal incontinence (leakage of feces)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e42 (7.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e85 (4.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e3 (3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.52\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBarrett\u0026rsquo;s esophagus\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e9 (1.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1 (1.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.95\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e37 (2.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.93\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUlcerative colitis\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e13 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1 (1.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.76\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e28 (1.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e3 (3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.21\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCrohn\u0026rsquo;s disease\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e9 (1.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.33\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e18 (1.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e94 (16.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e9 (15.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.79\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e285 (16.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e9 (10.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnknown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e11 (1.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6 (10.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e34 (2.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1 (1.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.58\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo issues\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e21 (3.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4 (6.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e96 (5.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e18 (20.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003e\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e (\u003cem\u003en\u003c/em\u003e, %), \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e Fisher\u0026rsquo;s exact test compares differences in categorical variables between groups. \u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e Order based on highest percentage in HSD females. \u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e Bold indicates significant value. \u003csup\u003e\u003cb\u003ee\u003c/b\u003e\u003c/sup\u003e Abbreviations: GERD, gastroesophageal reflux disease.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eSleep symptoms/comorbidities\u003c/p\u003e \u003cp\u003eWe examined 9 sleep symptoms/comorbidities that are listed from greatest to lowest percentage in Table\u0026nbsp;\u003cspan refid=\"Tab8\" class=\"InternalRef\"\u003e8\u003c/span\u003e based on female patients with HSD. This is one of only two categories where we found conditions that were self-reported more often in males than females. Males with HSD self-reported more snoring (Female 14.9%, Male 26.1%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.005) and obstructive sleep apnea (Female 8.9%, Male 20.5%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) than females with HSD (Table\u0026nbsp;\u003cspan refid=\"Tab8\" class=\"InternalRef\"\u003e8\u003c/span\u003e, Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). All other significant sex differences occurred more often in females than males in this category. Sleep issues reported more often in females than males with HSD included insomnia (Female 45.9%, Male 33.0%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.017) and sleep disturbances (Female 42.2%, Male 28.4%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.010) (Table\u0026nbsp;\u003cspan refid=\"Tab8\" class=\"InternalRef\"\u003e8\u003c/span\u003e). There were no sex differences in any other symptom/comorbidity in this category.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab8\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 8\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eSleep symptoms/comorbidities in patients with hEDS or HSD (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;2,451)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ehEDS\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;575)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ehEDS Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;60)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eHSD Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;1,728)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eHSD Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;88)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDifficulty falling asleep and staying asleep\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e318 (55.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e30 (50.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.43\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1118 (64.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e49 (55.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInsomnia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e254 (44.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e26 (43.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.90\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e793 (45.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e29 (33.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.017\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSleep disturbances\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e240 (41.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e23 (38.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.61\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e730 (42.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e25 (28.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.010\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRestless leg syndrome\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e135 (23.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e17 (28.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e447 (25.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e18 (20.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIdiopathic hypersomnia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e97 (16.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8 (13.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.48\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e349 (20.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e12 (13.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSnoring\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e85 (14.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7 (11.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.51\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e258 (14.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e23 (26.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.005\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eObstructive sleep apnea\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e49 (8.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6 (10.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e154 (8.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e18 (20.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNarcolepsy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e33 (5.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.44\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e75 (4.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eParasomnia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e22 (3.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1 (1.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.39\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e58 (3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1 (1.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.25\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e48 (8.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5 (8.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e167 (9.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e8 (9.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.86\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnknown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e50 (8.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4 (6.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.59\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e145 (8.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e8 (9.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.82\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo issues\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e56 (9.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e11 (18.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.039\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e202 (11.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e18 (20.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.014\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003e\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e (\u003cem\u003en\u003c/em\u003e, %), \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e Fisher\u0026rsquo;s exact test compares differences in categorical variables between groups. \u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e Order based on highest percentage in HSD females. \u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e Bold indicates significant value.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003ePsychological conditions and abuse\u003c/p\u003e \u003cp\u003eWe did not observe sex differences in most psychological conditions in patients diagnosed with hEDS or HSD (Table\u0026nbsp;\u003cspan refid=\"Tab9\" class=\"InternalRef\"\u003e9\u003c/span\u003e). The most frequent psychological symptom was anxiety which was self-reported more often in females with HSD than males (Female 73.9%, Male 61.4%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.010) but had no sex difference in patients with hEDS (Female 68.0%, Male 66.7%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.83). The only psychological condition that occurred more often in females for both diagnoses was abuse (hEDS: Female 41.8%, Male 25.0%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.039; HSD: Female 40.0%, Male 24.1%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) and sexual abuse (hEDS: Female 23.8%, Male 10.0%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.015; HSD: Female 22.7%, Male 5.7%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) (Table\u0026nbsp;\u003cspan refid=\"Tab9\" class=\"InternalRef\"\u003e9\u003c/span\u003e). Additionally, females with HSD reported more post-traumatic stress disorder (PTSD) (Female 30.3%, Male 11.4%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) than males (Table\u0026nbsp;\u003cspan refid=\"Tab9\" class=\"InternalRef\"\u003e9\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab9\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 9\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003ePsychological symptoms/comorbidities in patients with hEDS or HSD (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;2,451)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ehEDS\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;575)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ehEDS Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;60)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eHSD Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;1,728)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eHSD Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;88)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAnxiety\u003csup\u003e\u003cem\u003ec\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e391 (68.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e40 (66.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.83\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1277 (73.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e54 (61.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.010\u003c/b\u003e\u003csup\u003e\u003cb\u003ed\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDepression\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e327 (56.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35 (58.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.83\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1065 (61.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e49 (55.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDepressed mood\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e218 (37.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e30 (50.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e848 (49.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e43 (48.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.97\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNervousness\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e215 (37.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e27 (45.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e815 (47.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e38 (43.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.46\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAbuse\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e228 (41.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e14 (25.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.039\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e685 (40.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e21 (24.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEmotional/verbal abuse\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e180 (31.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12 (20.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e559 (32.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e20 (22.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePTSD\u003csup\u003e\u003cem\u003ee\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e164 (28.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e13 (21.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e524 (30.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e10 (11.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSexual abuse\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e137 (23.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6 (10.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.015\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e392 (22.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e5 (5.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhysical abuse\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e121 (21.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8 (13.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e357 (20.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e12 (13.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eObsessive-compulsive disorder (OCD)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e116 (20.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6 (10.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e298 (17.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e16 (18.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.82\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEating disorders\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e77 (13.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4 (6.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e249 (14.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e7 (8.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBody dysmorphic disorder\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e34 (5.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6 (10.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e152 (8.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e8 (9.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.92\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBipolar\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e31 (5.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3 (5.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.90\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e110 (6.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e3 (3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePersonality disorder\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e13 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1 (1.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.76\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e51 (3.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e4 (4.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.40\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eConversion disorder\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e8 (1.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e24 (1.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.50\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSchizophrenia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e4 (0.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.65\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e31 (5.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3 (5.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.90\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e93 (5.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e4 (4.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.73\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnknown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e15 (2.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5 (8.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.016\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e42 (2.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e5 (5.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo issues\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e89 (15.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7 (11.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.43\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e259 (15.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e23 (26.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.005\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003e\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e (\u003cem\u003en\u003c/em\u003e, %), \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e Fisher\u0026rsquo;s exact test compares differences in categorical variables between groups. \u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e Order based on highest percentage in HSD females. \u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e Bold indicates significant value. \u003csup\u003e\u003cb\u003ee\u003c/b\u003e\u003c/sup\u003e Abbreviations: PTSD; post-traumatic stress disorder.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eGenitourinary symptoms\u003c/h2\u003e \u003cp\u003eAll genitourinary symptoms examined in this study that were statistically significant were self-reported more often in females with hEDS or HSD compared to males (Table\u0026nbsp;\u003cspan refid=\"Tab10\" class=\"InternalRef\"\u003e10\u003c/span\u003e). Symptoms/ comorbidities that were self-reported more often in females in both hEDS and HSD included dyspareunia (pain during sexual intercourse) (hEDS Female 31.1%, Male 3.3%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001; HSD Female 28.1%, Male 4.5%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), recurrent urinary tract infections (hEDS Female 30.4%, Male 5.0%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001; HSD Female 27.4%, Male 3.4%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), incontinence (hEDS Female 25.9%, Male 5.0%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001; HSD Female 23.7%, Male 6.8%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), pelvic floor dysfunction (hEDS Female 22.4%, Male 10.0%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.025; HSD Female 18.6%, Male 4.5%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), recurrent yeast infections (hEDS Female 19.0%, Male 3.3%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001; HSD Female 18.0%, Male 0.0%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), and bladder prolapse (hEDS Female 8.3%, Male 0.0%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.020; Female 4.9%, Male 0.0%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.033). hEDS females uniquely reported more frequent urination than males (Females 34.4%, Males 20.0%; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.024) (Table\u0026nbsp;\u003cspan refid=\"Tab10\" class=\"InternalRef\"\u003e10\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab10\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 10\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eGenitourinary symptoms/comorbidities in patients with hEDS or HSD (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;2,451)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ehEDS\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;575)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ehEDS Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;60)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eHSD Female\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;1,728)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eHSD Male\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;88)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFrequent urination\u003csup\u003e\u003cem\u003ec\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e198 (34.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12 (20.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.024\u003c/b\u003e\u003csup\u003e\u003cb\u003ed\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e644 (37.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e27 (30.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.21\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDyspareunia (pain\u003c/p\u003e \u003cp\u003eduring sexual intercourse\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e179 (31.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e486 (28.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e4 (4.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRecurrent urinary tract infections\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e175 (30.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3 (5.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e473 (27.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e3 (3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIncontinence (urine leakage)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e149 (25.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3 (5.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e409 (23.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e6 (6.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePelvic floor dysfunction\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e129 (22.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6 (10.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.025\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e322 (18.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e4 (4.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRecurrent yeast infections\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e109 (19.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.002\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e311 (18.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePelvic floor spasms\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e70 (12.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4 (6.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e176 (10.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.015\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInterstitial\u003c/p\u003e \u003cp\u003ecystitis (inflammation of the\u003c/p\u003e \u003cp\u003ebladder)/ painful bladder syndrome\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e59 (10.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e150 (8.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1 (1.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.012\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBladder prolapse\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e48 (8.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.020\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e85 (4.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e0.033\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e75 (13.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2 (3.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.028\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e227 (13.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e9 (10.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.43\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnknown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e37 (6.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e11 (18.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e165 (9.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e6 (6.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.39\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo issues\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e98 (17.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e32 (53.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e325 (18.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e63 (71.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003e\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e (\u003cem\u003en\u003c/em\u003e, %), \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e Fisher\u0026rsquo;s exact test compares differences in categorical variables between groups. \u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e Order based on highest percentage in HSD females. \u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e Bold indicates significant value.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis is the first study to analyze sex differences in a large number of symptoms and comorbidities in hEDS and HSD patients. In this study we found that females and males that attended the EDS Clinic shared the same wide range of 122 symptoms/comorbidities. However, females with hEDS and HSD reported more symptoms/comorbidities than males. Interestingly, there were only 5 comorbidities that males reported more often than females including attention deficit disorder (ADD)/ attention deficit hyperactivity disorder (ADHD), delay in developmental milestones, snoring, autism spectrum disorder (ASD), and obstructive sleep apnea (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e)- conditions with a known male dominance.(\u003cspan additionalcitationids=\"CR28 CR29 CR30 CR31\" citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e) Does that suggest that the symptoms/comorbidities that occur more often in females, such as allergies and migraine, are simply female dominant conditions?(\u003cspan additionalcitationids=\"CR34\" citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e) There are several lines of reasoning to suggest that is not the case. 1) Many of the 122 symptoms/comorbidities in this study do not have a clear reported female dominance, 2) many of the symptoms/comorbidities displayed no sex differences in this study, and 3) females with HSD reported around 2x more symptoms/comorbidities than hEDS females. If the female dominance were due to sex differences in the general population for these symptoms/comorbidities, we would expect hEDS and HSD females to have a similar number of symptoms/comorbidities. Instead, we found that the sex ratio for hEDS was around 10:1 female-to-male while the sex ratio for HSD was around 20:1- a two-fold difference. Additionally, hEDS females reported 31/122 (25.4%) symptoms/comorbidities more often than males while HSD females reported 59/122 (48.4%) more than males- around a two-fold difference. Thus, based on the number of conditions, HSD females had more sex differences in symptoms/comorbidities than hEDS females. From another perspective, hEDS females and males had fewer sex differences, which may suggest greater influence from a genetic variant/s as a driver of disease in hEDS rather than other promoters of disease such as sex hormones.(\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eAnother interesting distinction in this study is that for many symptoms/comorbidities the specific issues that occurred more in females than males differed between hEDS and HSD females. For example, although females with hEDS and HSD both self-reported many allergy/mast cell-related symptoms, the specific symptoms that occurred more often than males differed for hEDS (drug allergies, shortness of breath) vs. HSD (environmental allergies, palpitations, multiple sensitivities, rhinitis, etc.) (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e), which is consistent with our previous analyses comparing symptoms/comorbidities between patients with hEDS and HSD.(\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e) Overall, these findings suggest differences in disease burden (i.e., greater number of symptoms/comorbidities) by both sex and diagnosis. Thus, even symptomatic males who attended the Mayo EDS Clinic appear to have a lower disease burden than females. This could, at least in part, explain why fewer hypermobile males seek clinical care for hEDS/HSD in general based on demographic data.(\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e) Our findings in this study comparing hEDS to HSD females vs. our previous study where males were included gave similar results, except that when males were removed from the analysis in this study, autonomic dysfunction was found more often in HSD rather than hEDS.(\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e) Otherwise the findings were essentially the same indicating that the small percentage of males in the sample in previous studies did not have a big effect on the data. It is difficult to compare our findings in hEDS patients to the study by Petrucci because they did not analyze data by sex.(\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eAn intriguing idea to explain the sex differences in hEDS and HSD is that men have stronger muscle mass from testosterone and so are less likely to be hypermobile; consequently, they are less likely to sublux or dislocate, leading to fewer symptoms. Although this hypothesis makes sense for symptoms such as joint and muscle pain, it is much less clear how muscle strength relates to non-joint-related symptoms like migraine, GI issues, and neurological symptoms. Although this sex difference may partially protect males from hEDS and HSD, another likely cause of sex differences is mast cell activation. MC progenitors originate in the yolk sac and bone marrow and migrate to vascularized tissues/organs in the body where they become long-lived resident MCs and take on characteristics specific to that local environment.(\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e) MCs are unique among immune cells in that they not only communicate directly with the immune system and local tissue environment but also with the hormone (sex hormones, stress hormones, etc.) and neurological systems.(\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e) MCs produce neurotransmitters and express neurotransmitter receptors on their cell surface, and many cytokines that they release, such as interleukin (IL)-1β and tumor necrosis factor (TNF), also act as neurotransmitters.(\u003cspan additionalcitationids=\"CR40 CR41 CR42\" citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e) MCs are located everywhere in the body adjacent to vessels and nerve endings so that they can rapidly transmit signals locally, systemically and via the peripheral and central nervous system including the vagus nerve.(\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e, \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e) MCs can directly activate pain stimuli through the release of TNF, IL-1β and other mediators which all send pain signals to the brain via the nervous system including the vagus nerve.(\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e, \u003cspan additionalcitationids=\"CR43\" citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e) MCs also release many mediators (i.e., enzymes, etc.) that are involved in the cycle of ECM remodeling- both breaking down ECM proteins and rebuilding them to produce scar (i.e., fibrosis).(\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e, \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e) Thus, MCs are multi-functional cells that are not limited to IgE-mediated or anaphylactic responses.\u003c/p\u003e \u003cp\u003eImportantly, all these MC functions differ significantly by sex depending on the organ or tissue location.(\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e) In the heart, cardiac MC degranulation in males drives ECM remodeling that promotes fibrosis and progression to chronic heart failure.(\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e, \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e) Heightened MC activation near sensory neurons has been linked with symptom severity in chronic pain disorders such as irritable bowel syndrome, migraine and fibromyalgia, which all occur more often in females,(\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e) and are conditions that are prevalent in patients with hEDS and HSD.(\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e) Higher MC activity in female joints combined with lower muscle strength may exacerbate hypermobility symptoms resulting in higher subluxations and dislocations than the general population in females. This may explain why we observe an increase in many joint and muscle symptoms in females with hEDS or HSD compared to males in this study (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). Another possibility is that HSD females have more activated MCs which could provide an explanation for the increased symptoms/comorbidities observed in HSD females compared to hEDS females.(\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eThat MC activation can lead to widespread systemic issues in the skin, GI tract, cardiovascular, respiratory and naso-ocular systems was recognized in 2010 in a manuscript by Akin et al. who proposed a clinical definition of MCAS that was later affirmed by an international panel of experts.(\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e) For a definition of MCAS the following three criteria must be met: 1. episodic symptoms consistent with MC degranulation involving at least 2 organ systems (i.e., cutaneous, GI, cardiovascular, or respiratory), 2. event-related increase in serum tryptase above the individual\u0026rsquo;s baseline tryptase to 20% + 2ng/mL, and 3. response of symptoms to therapy with MC-stabilizing agents, drugs directed against MC mediator production, or drugs blocking mediator release or effects of MC-derived mediators.(\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e) Thus, to receive a diagnosis of MCAS the patient needs to be clinically documented to undergo an anaphylactic type event with the assumption that the patient typically has a low/lower baseline tryptase. However, the presumed mechanism behind MC activation in patients with hEDS and HSD suggests that patients have daily, chronic MC activation which would create high baselines that likely limit the ability to mount an acute event. Furthermore, Valent et al. stated that the chronic systemic symptoms must be associated only with MCAS and not attributed to any other medical condition.(\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e) This statement essentially eliminates hEDS and HSD patients from being candidates for this diagnosis and may inhibit clinical immunologists from pursuing testing.\u003c/p\u003e \u003cp\u003eBecause of this clinical gap, we (Drs. Fairweather and Bruno) developed a self-reported MC score with the goal of capturing widespread MC activation symptoms that include, but are not limited to, MCAS, tryptase mutations and mastocytosis.(\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e) The symptoms included in the MC score encompass categories of MC issues such as asthma/history of asthma, environmental, venom, food and drug allergies, atopy, eczema, rhinitis, MCAS and tryptase mutations. These are self-reported symptoms and so may not be accurately diagnosed; however, answers to these self-reported questions should enable identification of widespread issues if they exist. Using this novel MC score, we are the first to examine whether widespread MC activation in patients with hEDS and HSD differs by sex. We provide internal validation of the MC score in several ways: 1) by showing significantly increased odds ratios for high vs. low MC scores for MC score-associated symptoms, 2) by showing significantly increased odds ratios for high vs. low MC scores for MC activation symptoms that comprise part of the MCAS diagnostic criteria (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ee),(\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e) and 3) by showing that patients with a high MC score have significantly higher levels of total IgE in their serum than patients with a low MC score (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ef). We plan to further validate the MC score in hEDS and HSD patients from other sites in the future.\u003c/p\u003e \u003cp\u003eIn this study we found that MCAS was self-reported in around 5\u0026ndash;17% of hEDS/HSD patients, but these percentages may not include verified cases of MCAS but possibly a patient\u0026rsquo;s perception of having this condition. A recent study of 703 patients referred for MC activation symptoms found that only 4.4% had MCAS according to diagnostic criteria.(\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e) Only\u0026thinsp;\u0026le;\u0026thinsp;1% of patients in our study self-reported that they had a tryptase mutation, which is part of the diagnostic criteria for hereditary alpha tryptasemia (HAT).(\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e) The diagnosis of HAT includes demonstrating an increased gene copy number of \u003cem\u003eTPSAB1\u003c/em\u003e encoding for alpha tryptase and elevated serum tryptase levels.(\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e) MCAS and HAT are considered MC activation disorders (MCAD) along with systemic mastocytosis.(\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e) Brock et al. describes that MC activation disease (MCAD) should include widespread MC-related symptoms in many different organ systems such as GI, cardiovascular, respiratory, skin, neurological, musculoskeletal, etc. and verified MCAS,(\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e) but did not create a measurable MC activation score. Note that MC activation disorders vs. MC activation disease have the same abbreviation (i.e., MCAD) but different definitions depending on the author.(\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e) Most of the widespread MC-related symptoms listed by Brock et al.(\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e) and Valent et al.(\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e) are included in our Intake Questionnaire and were reported more often in females with hEDS and HSD compared to males. Additionally, our MC score indicates widespread MC activation issues, which we found were reported more often in HSD females but similarly between hEDS females and males. Thus, the MC score questionnaire we developed is a fast and simple method to assess widespread MC activation issues in large numbers of patients without lengthy and expensive clinical testing.\u003c/p\u003e \u003cp\u003eThis study revealed several other interesting findings. A high percentage of hEDS and HSD patients reported anxiety and depression (around 60% in this study) similar to previous reports,(\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e) yet except for abuse there were few sex differences in psychological symptoms/comorbidities in this study. Males who attended the EDS Clinic were slightly younger than females. Surprisingly, almost all teeth and jaw symptoms were worse in females with HSD; however, only a high or narrow palate occurred more often in females with hEDS, which is part of the diagnostic criteria for hEDS.(\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e) It was also remarkable that none of the MC-related symptoms in hEDS and HSD females were the same, except for hives, which occurred in both. Also interesting related to neurological symptoms/comorbidities was that females of both diagnoses had greater brain fog, headache, migraine, sense of imbalance, vertigo and chronic migraine- which we reported previously as similar between diagnoses.(\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e) In contrast, unique to HSD females was greater fibromyalgia, light-headedness, heat intolerance, palpitations, multiple sensitivities, dry eyes, and blurred vision- all symptoms of autonomic dysfunction,(\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e) and which comprise part of the diagnostic criteria for fibromyalgia.(\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e) Thus, our findings suggest that females with HSD have more autonomic dysfunction. However, these findings require confirmation using medical record extraction and/or physician validation in future studies.\u003c/p\u003e \u003cp\u003eThere are several limitations to this study. The retrospective design of the study precludes establishing causal relationships. The site of the study is a tertiary care center and findings from patients in this study may not be generalizable to other regions of the US or world. Symptoms/comorbidities were self-reported and not validated through another method. Future studies are needed to examine whether the key findings of this study can be verified when medical records are examined. A strength of the study is that hEDS and HSD patients were diagnosed using the most recent 2017 criteria by physician experts. An additional strength of the study is the large study population which provided the ability to study a small cohort of males. To our knowledge, this is the first study to analyze sex differences in a large number of symptoms/comorbidities in males and females with hEDS and HSD.\u003c/p\u003e\n\u003ch3\u003ePerspectives and Significance\u003c/h3\u003e\n\u003cp\u003eThe ability to study sex differences was made possible by large numbers of well-characterized patients. Overall, we found large sex differences in the number of patients attending the EDS Clinic that were diagnosed with hEDS and HSD and the self-reported burden of symptoms/comorbidities, with females more greatly affected. Like our previous studies,(\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e) females with HSD reported more symptoms/comorbidities than females with hEDS. In contrast, only 5/122 (4.1%) of symptoms/comorbidities occurred more often in males than females, which may be due to an increased prevalence of these issues (i.e., ASD) in males in the general population rather than an EDS-driven pathology. Our findings suggest a difference in disease burden (i.e., number of symptoms/comorbidities) by sex and diagnosis. Elevated MC symptoms in females may drive symptomology indicated by elevated serum extracellular matrix proteins in females.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eIn conclusion, we found that females with hEDS and HSD self-reported more symptoms/ comorbidities than males with a sex ratio of around 10:1 and 20:1 female-to-male, respectively. Gaining a better understanding of sex differences in patients with hEDS and HSD may improve patient care, optimize a personalized approach to therapy, and provide mechanistic insights into the pathogenesis of disease.\u003c/p\u003e"},{"header":"Declarations","content":" \u003cp\u003e \u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e \u003cp\u003eThe Institutional Review Board (IRB) of Mayo Clinic approved the retrospective analysis of demographic and clinical data from medical records for this study and waived informed consent for all patients (IRB# 19-011260). The IRB of Mayo Clinic approved the prospective study of samples and informed consent was obtained for all patients (IRB# 19-010260). The research conformed to the principles outlined in the Declaration of Helsinki.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eConsent for publication\u003c/strong\u003e \u003cp\u003eN/A\u003c/p\u003e \u003ch2\u003eCompeting interests\u003c/h2\u003e \u003cp\u003eThe authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.\u003c/p\u003e \u003c/p\u003e\u003cp\u003e \u003ch2\u003eSupplementary material\u003c/h2\u003e \u003cp\u003eNone.\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eFunding\u003c/h2\u003e \u003cp\u003eThis study was supported by funding from the Ehlers-Danlos Society MicroGrant to DF and DRTK; Mayo Clinic RACER and RACER Plus Award to DRTK; Mayo Clinic STARDOM Award to DF and DRTK; Mayo Clinic\u0026rsquo;s Division of General Internal Medicine to DF, DRTK, KAB; the Ralph E. Pounds and Kathy Olesker Pounds Fund in Research Related to Chronic Pain to DF; American Heart Association 23SCEFIA1153413 to KAB; National Institutes of Health R01 HL164520 to DF and R21 AR084101 to SNG, KAB, DRTK, DF; and National Institutes of Health R21 AI163302 and R21 AI180863 to KAB.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eKAB, DRTK and DF designed the study. AMZ, SNG and DRTK diagnosed hEDS/HSD patients. FCW, AAD, KAB and DF built and/or managed the electronic database of patient data. FCW, AAD, JJF, JMG, MWS, and DF collected data. FCW, DJZ, AAD, MB, JJF, HJS, DOH, KAB, DRTK and DF analyzed the data. FCW, AAD, BWEW, PSA, CLS, SNG, KAB, DRTK, and DF interpreted the data. FCW, DJZ, MB, and DF wrote the manuscript. KAB, DRTK and DF agree to be accountable to all aspects of the work ensuring that questions related to accuracy and integrity of any part of the work are properly investigated and resolved. All authors edited and revised the paper for important content. All authors approved the final version of the paper.\u003c/p\u003e\u003ch2\u003eAcknowledgement\u003c/h2\u003e\u003cp\u003eN/A\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe datasets generated and/or analyzed during the current study are available in the [NAME] repository, [PERSISTENT WEB LINK TO DATASETS]. (Note: The link to data will be provided prior to publication.)\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eMalfait F, De Paepe A. The Ehlers-Danlos syndrome. Adv Exp Med Biol. 2014;802:129\u0026ndash;43.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMulvey MR, Macfarlane GJ, Beasley M, Symmons DP, Lovell K, Keeley P, et al. Modest association of joint hypermobility with disabling and limiting musculoskeletal pain: results from a large-scale general population-based survey. Arthritis Care Res (Hoboken). 2013;65(8):1325\u0026ndash;33.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTinkle B, Castori M, Berglund B, Cohen H, Grahame R, Kazkaz H, et al. Hypermobile Ehlers-Danlos syndrome (a.k.a. Ehlers-Danlos syndrome Type III and Ehlers-Danlos syndrome hypermobility type): Clinical description and natural history. Am J Med Genet C Semin Med Genet. 2017;175(1):48\u0026ndash;69.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMalfait F, Francomano C, Byers P, Belmont J, Berglund B, Black J, et al. The 2017 international classification of the Ehlers-Danlos syndromes. Am J Med Genet C Semin Med Genet. 2017;175(1):8\u0026ndash;26.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCastori M, Tinkle B, Levy H, Grahame R, Malfait F, Hakim A. A framework for the classification of joint hypermobility and related conditions. Am J Med Genet C Semin Med Genet. 2017;175(1):148\u0026ndash;57.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMorlino S, Castori M. Placing joint hypermobility in context: Traits, disorders and syndromes. Br Med Bull. 2023;147(1):90\u0026ndash;107.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCastori M. Ehlers-Danlos syndrome, hypermobility type: An underdiagnosed hereditary connective tissue disorder with mucocutaneous, articular, and systemic manifestations. ISRN Dermatol. 2012;2012:751768.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eVoermans NC, Knoop H, Bleijenberg G, van Engelen BG. Pain in Ehlers-Danlos syndrome is common, severe, and associated with functional impairment. J Pain Symptom Manage. 2010;40(3):370\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBrock I, Prendergast W, Maitland A. Mast cell activation disease and immunoglobulin deficiency in patients with hypermobile Ehlers-Danlos syndrome/hypermobility spectrum disorder. Am J Med Genet C Semin Med Genet. 2021;187(4):473\u0026ndash;81.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFairweather D, Bruno KA, Darakjian AA, Bruce BK, Gehin JM, Kotha A, et al. High overlap in patients diagnosed with hypermobile Ehlers-Danlos syndrome or hypermobile spectrum disorders with fibromyalgia and 40 self-reported symptoms and comorbidities. Front Med (Lausanne). 2023;10:1096180.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDemmler JC, Atkinson MD, Reinhold EJ, Choy E, Lyons RA, Brophy ST. Diagnosed prevalence of Ehlers-Danlos syndrome and hypermobility spectrum disorder in Wales, UK: A national electronic cohort study and case-control comparison. BMJ Open. 2019;9(11):e031365.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDarakjian AA, Bhutani M, Fairweather D, Kocsis SC, Fliess JJ, Khatib S, et al. Similarities and differences in self-reported symptoms and comorbidities between hypermobile Ehlers-Danlos syndrome and hypermobility spectrum disorders. Rheumatol Adv Pract. 2024;8(4):rkae134.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHakim AKS, FC, Bloom L, Malfait F, Gandy W, editors. The proportion of people reporting multisystemic morbidities is similar across the Ehlers Danlos syndromes. The 2022 Ehlers-Danlos Society International Symposium on the EDS and HSD 2022; Rome, Italy.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCopetti M, Morlino S, Colombi M, Grammatico P, Fontana A, Castori M. Severity classes in adults with hypermobile Ehlers-Danlos syndrome/hypermobility spectrum disorders: A pilot study of 105 Italian patients. Rheumatology (Oxford). 2019;58(10):1722\u0026ndash;30.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMcGillis L, Mittal N, Santa Mina D, So J, Soowamber M, Weinrib A, et al. Utilization of the 2017 diagnostic criteria for hEDS by the Toronto GoodHope Ehlers-Danlos syndrome clinic: A retrospective review. Am J Med Genet A. 2020;182(3):484\u0026ndash;92.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMartinez KL, Mauss C, Andrews J, Saboda K, Huynh JM, Sanoja AJ, et al. Subtle differences in autonomic symptoms in people diagnosed with hypermobile Ehlers-Danlos syndrome and hypermobility spectrum disorders. Am J Med Genet A. 2021;185(7):2012\u0026ndash;25.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRitelli M, Chiarelli N, Cinquina V, Vezzoli M, Venturini M, Colombi M. Looking back and beyond the 2017 diagnostic criteria for hypermobile Ehlers-Danlos syndrome: A retrospective cross-sectional study from an Italian reference center. Am J Med Genet A. 2024;194(2):174\u0026ndash;94.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAubry-Rozier B, Schwitzguebel A, Valerio F, Tanniger J, Paquier C, Berna C, et al. Are patients with hypermobile Ehlers-Danlos syndrome or hypermobility spectrum disorder so different? Rheumatol Int. 2021;41(10):1785\u0026ndash;94.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCastori M, Camerota F, Celletti C, Grammatico P, Padua L. Ehlers-Danlos syndrome hypermobility type and the excess of affected females: Possible mechanisms and perspectives. Am J Med Genet A. 2010;152A(9):2406\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRodgers KR, Gui J, Dinulos MB, Chou RC. Ehlers-Danlos syndrome hypermobility type is associated with rheumatic diseases. Sci Rep. 2017;7:39636.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGlayzer JE, Bray BC, Kobak WH, Steffen AD, Schlaeger JM. Lack of diversity in research on females with Ehlers-Danlos syndromes: Recruitment protocol for a quantitative online survey. JMIR Res Protoc. 2024;13:e53646.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePetrucci T, Barclay SJ, Gensemer C, Morningstar J, Daylor V, Byerly K, et al. Phenotypic clusters and multimorbidity in hypermobile Ehlers-Danlos syndrome. Mayo Clin Proc Innov Qual Outcomes. 2024;8(3):253\u0026ndash;62.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFairweather D, Bruno KA, Darakjian AA, Wilson FC, Fliess JJ, Murphy EF, et al. Localized and historical hypermobile spectrum disorders share self-reported symptoms and comorbidities with hEDS and HSD. Front Med (Lausanne). 2025;12:1594796.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDube SR, Fairweather D, Pearson WS, Felitti VJ, Anda RF, Croft JB. Cumulative childhood stress and autoimmune diseases in adults. Psychosom Med. 2009;71(2):243\u0026ndash;50.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eValent P, Akin C, Arock M, Brockow K, Butterfield JH, Carter MC, et al. Definitions, criteria and global classification of mast cell disorders with special reference to mast cell activation syndromes: A consensus proposal. Int Arch Allergy Immunol. 2012;157(3):215\u0026ndash;25.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAfrin LB, Pohlau D, Raithel M, Haenisch B, Dumoulin FL, Homann J, et al. Mast cell activation disease: An underappreciated cause of neurologic and psychiatric symptoms and diseases. Brain Behav Immun. 2015;50:314\u0026ndash;21.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBhattacharyya N. Sleep and health implications of snoring: A populational analysis. Laryngoscope. 2015;125(10):2413\u0026ndash;6.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCampos AI, Garcia-Marin LM, Byrne EM, Martin NG, Cuellar-Partida G, Renteria ME. Insights into the aetiology of snoring from observational and genetic investigations in the UK Biobank. Nat Commun. 2020;11(1):817.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLi Y, Yan X, Li Q, Li Q, Xu G, Lu J, et al. Prevalence and trends in diagnosed ADHD among US children and adolescents, 2017\u0026ndash;2022. JAMA Netw Open. 2023;6(10):e2336872.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZablotsky BNA, Black LI, Blumberg SJ. In: Statistics NCH, editor. Diagnosed developmental disabilities in children aged 3\u0026ndash;17 years: United States, 2019\u0026ndash;2021. Hyattsville, MD: NCHS Data Brief; 2023.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGrosvenor LP, Croen LA, Lynch FL, Marafino BJ, Maye M, Penfold RB, et al. Autism diagnosis among US children and adults, 2011\u0026ndash;2022. JAMA Netw Open. 2024;7(10):e2442218.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSonmez I, Vo Dupuy A, Yu KS, Cronin J, Yee J, Azarbarzin A. Unmasking obstructive sleep apnea: Estimated prevalence and impact in the United States. Respir Med. 2025;248:108348.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBurch R, Rizzoli P, Loder E. The prevalence and impact of migraine and severe headache in the United States: Updated age, sex, and socioeconomic-specific estimates from government health surveys. Headache. 2021;61(1):60\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMackey E, Moeser AJ. Sex differences in mast cell-associated disorders: A life span perspective. Cold Spring Harb Perspect Biol. 2022;14(10).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNg AEBP. In: Statistics NCH, editor. Diagnosed allergic conditions in adults: United States, 2021. Hyattsville, MD: NCHS Data Brief; 2023.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFairweather D, Beetler DJ, McCabe EJ, Lieberman SM. Mechanisms underlying sex differences in autoimmunity. J Clin Invest. 2024;134(18):e180076.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChia SL, Kapoor S, Carvalho C, Bajenoff M, Gentek R. Mast cell ontogeny: From fetal development to life-long health and disease. Immunol Rev. 2023;315(1):31\u0026ndash;53.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNautiyal KM, Ribeiro AC, Pfaff DW, Silver R. Brain mast cells link the immune system to anxiety-like behavior. Proc Natl Acad Sci U S A. 2008;105(46):18053\u0026ndash;7.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTheoharides TC. Neuroendocrinology of mast cells: Challenges and controversies. Exp Dermatol. 2017;26(9):751\u0026ndash;9.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBenoist C, Mathis D. Mast cells in autoimmune disease. Nature. 2002;420(6917):875\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFairweather D, Frisancho-Kiss S, Gatewood S, Njoku D, Steele R, Barrett M, et al. Mast cells and innate cytokines are associated with susceptibility to autoimmune heart disease following coxsackievirus B3 infection. Autoimmunity. 2004;37(2):131\u0026ndash;45.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKempuraj D, Mentor S, Thangavel R, Ahmed ME, Selvakumar GP, Raikwar SP, et al. Mast cells in stress, pain, blood-brain barrier, neuroinflammation and Alzheimer's disease. Front Cell Neurosci. 2019;13:54.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMolderings GJ, Afrin LB. A survey of the currently known mast cell mediators with potential relevance for therapy of mast cell-induced symptoms. Naunyn Schmiedebergs Arch Pharmacol. 2023;396(11):2881\u0026ndash;91.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCordner ZA, Li Q, Liu L, Tamashiro KL, Bhargava A, Moran TH et al. Vagal gut-brain signaling mediates amygdaloid plasticity, affect, and pain in a functional dyspepsia model. JCI Insight. 2021;6(6).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKomi DEA, Khomtchouk K, Santa Maria PL. A review of the contribution of mast cells in wound healing: Involved molecular and cellular mechanisms. Clin Rev Allergy Immunol. 2020;58(3):298\u0026ndash;312.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFrisancho-Kiss S, Davis SE, Nyland JF, Frisancho JA, Cihakova D, Barrett MA, et al. Cutting Edge: Cross-regulation by TLR4 and T cell Ig mucin-3 determines sex differences in inflammatory heart disease. J Immunol. 2007;178(11):6710\u0026ndash;4.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBeetler DJ, Bruno KA, Watkins MM, Xu V, Chekuri I, Giresi P, et al. Reconstituted extracellular vesicles from human platelets decrease viral myocarditis in mice. Small. 2023;19(49):e2303317.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAkin C, Valent P, Metcalfe DD. Mast cell activation syndrome: Proposed diagnostic criteria. J Allergy Clin Immunol. 2010;126(6):1099\u0026ndash;104. e4.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFarley M, Estrada-Mendizabal RJ, Gansert EA, Voelker D, Marks LA, Gonzalez-Estrada A. Prevalence of mast cell activation disorders and hereditary alpha tryptasemia among patients with postural orthostatic tachycardia syndrome and Ehlers-Danlos syndrome: A systematic review. Ann Allergy Asthma Immunol. 2025;135(1):97\u0026ndash;102.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZaghmout T, Maclachlan L, Bedi N, Gulen T. Low prevalence of idiopathic mast cell activation syndrome among 703 patients with suspected mast cell disorders. J Allergy Clin Immunol Pract. 2024;12(3):753\u0026ndash;61.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003evon Bubnoff D, Koch D, Stocker H, Ludwig RJ, Wortmann F, von Bubnoff N. The clinical features of hereditary alpha-tryptasemia-implications for interdisciplinary practice. Dtsch Arztebl Int. 2024;121(8):258\u0026ndash;64.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZalewski P, Slomko J, Zawadka-Kunikowska M. Autonomic dysfunction and chronic disease. Br Med Bull. 2018;128(1):61\u0026ndash;74.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eArnold LM, Bennett RM, Crofford LJ, Dean LE, Clauw DJ, Goldenberg DL, et al. AAPT diagnostic criteria for fibromyalgia. J Pain. 2019;20(6):611\u0026ndash;28.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"biology-of-sex-differences","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bosd","sideBox":"Learn more about [Biology of Sex Differences](http://bsd.biomedcentral.com)","snPcode":"13293","submissionUrl":"https://submission.nature.com/new-submission/13293/3","title":"Biology of Sex Differences","twitterHandle":"@BiologySexDiff","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"hypermobile Ehlers-Danlos syndrome, hypermobility spectrum disorders, comorbidities, sex differences, mast cells, psychology, connective tissue disorders, fibromyalgia, autonomic dysfunction, abuse","lastPublishedDoi":"10.21203/rs.3.rs-8310986/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8310986/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground:\u003c/strong\u003e Although hypermobile Ehlers-Danlos syndrome (hEDS) and hypermobility spectrum disorders (HSD) are inherited disorders expected to display a 1:1 sex ratio, most studies report a strong female dominance. This study analyzed sex differences in 122 self-reported symptoms and comorbidities in patients diagnosed with hEDS or HSD using the 2017 criteria.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods:\u003c/strong\u003e Self-reported data was obtained from November 1, 2019, to April 25, 2025, (\u003cem\u003en\u003c/em\u003e=2,451) from an Intake Questionnaire of adult (≤18 years old) patients diagnosed with hEDS or HSD at the EDS Clinic at Mayo Clinic Florida and analyzed by sex.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e We found that 90.6% (\u003cem\u003en\u003c/em\u003e=575) of hEDS patients were female and 9.4% (\u003cem\u003en\u003c/em\u003e=60) were male, with a sex ratio of 9.6:1 female-to-male, while 95.2% (\u003cem\u003en\u003c/em\u003e=1,728) of HSD patients were female and 4.8% (\u003cem\u003en\u003c/em\u003e=88) were male, with a sex ratio of 19.6:1 female-to-male. Females were older than males: hEDS 35 vs. 28 years of age (\u003cem\u003ep\u003c/em\u003e\u0026lt;0.001), HSD 34 vs. 31 years of age (\u003cem\u003ep\u003c/em\u003e=0.004). Overall, females self-reported more symptoms/comorbidities than males: hEDS 31/122 (25.4%), HSD 59/122 (48.4%). In contrast, only 5/122 (4.1%) symptoms/comorbidities were self-reported more often in males including attention deficit disorder/attention deficit hyperactivity disorder, delay in developmental milestones, snoring, autism spectrum disorder, and obstructive sleep apnea. Females with HSD had more mast cell-related symptoms (i.e., hives \u003cem\u003ep\u003c/em\u003e\u0026lt;0.001) which were reflected in higher mast cell scores than males (\u003cem\u003ep\u003c/em\u003e\u0026lt;0.001). Patients with higher mast cell scores also had higher serum levels of total IgE (\u003cem\u003ep\u003c/em\u003e=0.029). More females with HSD were diagnosed with fibromyalgia (\u003cem\u003ep\u003c/em\u003e\u0026lt;0.001) and reported symptoms associated with autonomic dysfunction than males. Aside from abuse, which was higher in females (hEDS \u003cem\u003ep\u003c/em\u003e=0.039, HSD \u003cem\u003ep\u003c/em\u003e\u0026lt;0.001), few sex differences were reported for psychological symptoms/comorbidities. In support for the idea that elevated mast cell activity in females may lead to extracellular matrix remodeling that promotes hypermobility, females with hEDS/HSD had greater serum collagen-4α1 (\u003cem\u003ep\u003c/em\u003e\u0026lt;0.0001) and fibronectin (\u003cem\u003ep\u003c/em\u003e=0.015) than males by ELISA.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusions:\u003c/strong\u003e Females with hEDS and HSD report a higher burden of symptoms/comorbidities than males, providing a possible explanation for fewer males being reported in demographic data. Sex differences in symptoms/comorbidities may reflect sex differences in pathogenic drivers of disease.\u003c/p\u003e","manuscriptTitle":"Sex differences in self-reported symptoms and comorbidities associated with hypermobile Ehlers-Danlos syndrome and hypermobility spectrum disorders: A retrospective study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-01-30 13:09:42","doi":"10.21203/rs.3.rs-8310986/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvitedReview","content":"","date":"2026-03-31T09:14:14+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"93510415224872808712071285440946564168","date":"2026-03-31T06:59:34+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"209915992634573052682643783000726316747","date":"2026-03-10T09:42:32+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-12-10T07:52:46+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-12-09T15:23:22+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-12-09T14:43:19+00:00","index":"","fulltext":""},{"type":"submitted","content":"Biology of Sex Differences","date":"2025-12-08T20:34:50+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"biology-of-sex-differences","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bosd","sideBox":"Learn more about [Biology of Sex Differences](http://bsd.biomedcentral.com)","snPcode":"13293","submissionUrl":"https://submission.nature.com/new-submission/13293/3","title":"Biology of Sex Differences","twitterHandle":"@BiologySexDiff","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a91320f4-c4ec-46de-b730-531636d3ea30","owner":[],"postedDate":"January 30th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-01-30T13:09:46+00:00","versionOfRecord":[],"versionCreatedAt":"2026-01-30 13:09:42","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8310986","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8310986","identity":"rs-8310986","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}