Beyond Neck Physical Function: Evidence of General Functional Impairment in Migraine Patients

Beyond Neck Physical Function: Evidence of General Functional Impairment in Migraine Patients | 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 Article Beyond Neck Physical Function: Evidence of General Functional Impairment in Migraine Patients Roy La Touche, Teresa García-Pastor, Álvaro Reina-Varona, Alba Paris-Alemany, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4184239/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 28 Dec, 2024 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract Previous research has focused on the possibility of cervical dysfunction in migraine patients, similar to what is observed in patients with tension-type headaches. However, there is no evidence concerning the physical function of other body regions, even though lower levels of physical activity have been reported among migraine patients. The aim of this study was to compare cervical and extra-cervical range of motion, muscular strength, and endurance, as well as overall levels of physical activity, between patients with chronic migraine (CM) and asymptomatic participants. The secondary objective included the analysis of associations between CM-related disability and various physical and psychological variables. A total of 90 participants were included in this cross-sectional study: 30 asymptomatic participants (AG) and 60 patients with CM. Cervical and lumbar range of motion, strength and endurance, as well as handgrip strength were measured. Headache-related disability, kinesiophobia, pain behaviors, physical activity level and headache frequency were assessed through a self-report. Lower values were found in CM vs AG for cervical and lumbar ranges of motion (p<0.05; effect sizes ranging from 0.57 to 1.44). Also, for neck extension strength (p=.013; d =-.66), lumbar strength (p<.001; d =-1.91) and handgrip strength (p<.001; d =-.98), neck endurance (p<.001; d =-1.81) and lumbar endurance (p<.001; d =-2.11). Significant differences were found for physical activity levels and kinesiophobia between CM and AG. The headache-related disability predictors were headache frequency, activity avoidance and rest, which explained 41% of the variance. The main findings of this study suggest that patients with CM have a generalized fitness deficit and not specifically cervical dysfunction. These findings support the hypothesis that migraine patients have not only neck-related issues but also general lower body conditions. Health sciences/Neurology/Neurological disorders Biological sciences/Neuroscience/Somatosensory system/Pain Chronic migraine Cervical region Physical activity Physical function migraine related disability. Introduction Migraine is a complex and multifactorial neurological disorder [1] that can present as episodic or chronic, depending on the frequency of the signs and symptoms [2]. Epidemiologically, migraine is one of the most disabling disorders worldwide [3]. The prevalence of CM is estimated to be between 1% and 2.2% of the general population [4, 5], and it has been reported that 3.1% of patients with EM might progress to CM [6]. Patients with migraine might experience neck discomfort and stiffness during the various phases of the migraine attack [7]. Recent evidence based on a meta-analytical analysis indicates that neck pain is a highly prevalent symptom in patients with CM [8] and has been reported as an even more prevalent symptom than nausea [9]. These and other findings suggest that factors associated with cervical disability should be considered in the prevention and treatment of migraine and suggest the need for further research [10]. One of the most extensively studied aspects of the cervical region has been range of motion deficits. The results of these studies confirm that patients with CM and EM present decreased cervical range of motion compared with the asymptomatic population [11, 12]. The data obtained for neck range of motion in patients with migraine were 59.3º extension, 44.5º left lateral flexion and 60.8º right rotation [11], also reduced flexion rotation test mobility and reduced velocity of neck movements [12]. It has also been observed that limitations in range of motion were related to migraine frequency and disability [12]. Another cervical function characteristic found to be altered in patients with migraine is the strength and endurance of the cervical musculature [13–15]. The flexor endurance was found to be a 25% reduced compared to controls [13]. Regarding strength, difference lower cervical extension force was obtained with a difference of 4.4 N/Kg [14]. This strength deficit has been associated with cutaneous allodynia [15] and migraine frequency [14]. Also, significantly greater coactivation of antagonist muscles (splenius capitis muscle) was found among EM and CM compared to controls [14]. Although the findings on cervical function disorders in migraine are important, these studies have a significant limitation in that the assessment of strength and travel was evaluated only in the cervical region, which questions the specificity of the results, especially considering that recent evidence reports that patients with migraine have lower levels of physical activity than the asymptomatic population [16]. Indeed, lower cardiovascular fitness levels had higher long-term risk of developing migraine [17]. These findings support our hypothesis that deficits in physical variables such as strength and range of motion occur at a general level and not only in the cervical region. Physical activity avoidance behaviors have been reported in patients with migraine, as a product of cognition associated with the fear and worsening of headaches [18]. Anxiety [18] and fear of movement [12, 19] are factors associated with avoidance of physical activity and avoidance of cervical and head movements. These findings suggest two hypotheses: 1) Migraine patients exhibit general, not localized, functional deficits in strength and range of motion, linked to reduced physical activity; and 2) Migraine-related disability correlates with functional deficits, low physical activity, and psychological factors. This study aims to provide a comprehensive understanding of migraine patients, potentially influencing treatment strategies. Unlike previous cervical-focused research, it employs a thorough evaluation of overall physical condition. The primary objective is to compare cervical region strength and range of motion with other areas in CM patients and asymptomatic participants. Secondary goals involve analyzing CM disability's association with physical/psychological factors and comparing physical activity levels between CM patients and asymptomatic individuals. Materials and methods Study design This cross-sectional study employed purposive sampling, adhering to STROBE guidelines [20]. Participants received comprehensive information and provided voluntary informed consent. Ethical principles following the Declaration of Helsinki were upheld [21], with approval from the Centro Superior de Estudios Universitarios La Salle ethics committee (CSEULS-PI-034/2019). Participants The participants included in the study were required to meet the proposed inclusion criteria. Male and female adult patients aged between 18 and 65 years were recruited and were required to have a good command of the Spanish language. Participants in the CM group were recruited from a clinic specializing in treating patients with temporomandibular disorders, headaches, and craniofacial pain (Madrid, Spain). The patients had to have a previous medical diagnosis and meet the CM criteria of the International Classification for Headache Disorders [22], which are as follows: a) headache frequency ≥ 15 days per month; b) migraine symptom frequency ≥ 8 days; c) chronicity ≥ 3 months; and d) a history of migraine starting before the age of 50 years. The following cases were excluded: a) previous cervical and cranial trauma; b) infectious or tumor diseases; and c) recent surgical procedures (in the previous 12 months). The control group consisted of asymptomatic individuals with no history of head and neck pain for at least one year and who did not require any medical treatment or physiotherapy. Participants in this group were intentionally age-matched with those in the CM group to achieve similar groups. The control group was recruited through social networking from a university population. Procedure After giving their consent to participate in the study, all participants were given a set of questionnaires, which included a socio-demographic assessment and were asked to complete a series of self-reports: Head Impact Test (HIT-6) [23], International Physical Activity Questionnaire (IPAQ) [24], Tampa scale of Kinesiophobia (TSK-11) [25], Pain Catastrophism Scale (PCS) [26], chronic pain self-efficacy scale (CPSS) [27], Pain Behaviors Questionnaire (PBQ) [28]. After the participants had completed the self-report measures, the following physical measures were assessed: cervical range of motion, lumbar range of motion, cervical flexor muscle endurance, maximal isometric contraction in cervical flexion and extension, maximal lumbar isometric contraction and handgrip dynamometry. The assessor was a physical therapist blinded to the participants’ condition. All patients’ assessments were done during the interictal periods. Physical measures Cervical range of motion Cervical range of motion (CROM) was measured with a cervical range-of-motion device referred to as a CROM (Performance Attainment Associates, Lindstrom, MN) [29], which consists of three independent inclinometers, one for each plane of motion, attached to a plastic frame similar to a pair of glasses. The cervical ranges of motion measured were 1) flexion-extension, 3) right-left lateral flexion, 5) right-left rotation. The CROM has proven to be a valid and reliable tool for measuring the range of motion of the cervical region [30]. Lumbar range of movement Lumbar flexion range of motion was assessed with a digital inclinometer based on the iHandy mobile application. To perform the measurement, the assessor holds the mobile device over the participants’ sacrum and applies light pressure while the participants perform a lumbar flexion movement. This measurement has been shown to have good intra-rater and inter-rater reliability, with an intra-class correlation coefficient ≥ 0.86 [31]. Endurance of the cervical musculature The endurance of the cervical musculature was measured with the deep neck flexor endurance test, which has good reliability [32]. Participants were placed in the supine position. The examiner raised the participants’ head 2.5 cm above the couch and instructed the participants to hold this position for as long as possible. The examiner then let go of the participants’ head, leaving it suspended, held in place only by the participants’ muscle exertion. Endurance of the lumbar musculature Lumbar extensor muscle strength was assessed using the Ito test. Participants lay prone with a 10-cm pillow beneath their lower abdomen to reduce lumbar lordosis. With arms parallel to the body axis, they raised their upper body to a 15° angle, maintaining a neutral cervical spine position, and both feet on the couch. The test continued until fatigue, with termination upon a >10° decrease in trunk angle. Two brief practice attempts (5 seconds) ensured correct execution. The Ito test is a valid and reliable measure of lumbar extensor muscle strength [33]. Cervical strength Maximal isometric contraction (MIC) of cervical flexion and extension was assessed using a calibrated handheld digital dynamometer (MicroFET 2 dynamometer, Hoggan Health Industries, Salt Lake City, UT). The dynamometer, with a cushioned pad, was placed on the area to be assessed. For flexion MIC, participants were supine, with the pad on their forehead, performing maximal craniocervical flexion. For extension MIC, participants were prone, with the pad on the occipital area, resisting the assessor's opposing force. Each movement was tested three times for 5 seconds with a 60-second rest, showing good reliability [34]. Lumbar strength The extension MIC of the lumbar region was measured using a foot dynamometer (Takei TM 5420, Takei Scientific Instruments CO., Niigata City, Japan). This device has been validated and can be used to determine leg and back strength in held positions, provided that the measurement protocol is standardized (r, 0.91; P < 0.001) [35]. For the measurement, the participants let their arms hang down to hold the dynamometer’s bar with both hands with the palms facing the body. The dynamometer chain was then adjusted so that the knees were flexed to approximately 110°. The evaluator took 3 measurements; the mean was used in the data analysis. Handgrip strength Isometric handgrip strength was measured using a JAMAR hydraulic handgrip dynamometer (Sammons Preston, Rolyon, Bolingbrook, IL), following the procedure recommended by Roberts et al. Participants sat upright with feet flat on the floor, elbows flexed at 90°, and wrists and forearms in a neutral position [36]. Grip strength was recorded thrice on the dominant hand with a 30-second interval between measurements. This test demonstrates excellent reliability across various populations and conditions [37–39]. Psychological and disability measures Headache-related disability Disability was assessed using the Spanish HIT-6, comprising 6 items to measure headache-related disability in CM patients [23]. The questionnaire exhibits acceptable psychometric properties and validation for CM patients [40]. Scores range from 36 to 78 points, categorized into four severity levels: little or no impact (36–49), some impact (50–55), substantial impact (56–59), and severe impact (60–78). Pain behaviors The PBQ assesses pain-related behaviors, initially validated in headache patients [41, 42]. The Spanish version, validated in migraine and tension headache patients, exhibits strong psychometric properties, comprising 19 items across six factors: avoidance behaviors (5 items), active non-verbal complaint (4 items), passive non-verbal complaint (3 items), verbal complaint (3 items), rest (2 items), and medication (2 items) [28]. Fear of movement We assessed fear of movement using the Spanish TSK-11, with good psychometric properties (Cronbach’s α, 0.81) [25]. It has 2 subscales: one for fear of physical activity and another for fear of harm. Each of 11 items was scored 1–4 (1 = “strongly disagree”, 2 = “disagree”, 3 = “agree”, 4 = “strongly agree”), yielding scores from 11 to 44. Physical activity level The IPAQ assessed participants' physical activity, categorizing them into three levels (high, moderate, low/sedentary) and estimating activity in METs. IPAQ's psychometric properties are accepted; it has a reliability of about 0.77 (95% CI 0.67–0.84) [43]. Pain intensity Self-reported pain intensity was assessed using the numerical pain scale (NPS) (0–10/10). A score of 0 indicates “no pain”, while a score of 10 indicates “maximum possible pain intensity” [44]. Sample size The sample size was estimated with G*Power 3.1.7 (G*Power of the University of Düsseldorf, Germany) [45]. A pilot study was conducted with 16 patients with CM and 16 asymptomatic participants to determine differences using Student’s t-test and effect size to compare cervical muscle endurance variables and the handgrip dynamometry pressure. The study employed an alpha error level of 0.05, a statistical power of 80% (1-B error) and an effect size d (0.68 and 0.81). The estimated total sample size was 56 for the cervical muscle endurance variable and 40 for the handgrip dynamometry variable; ultimately, the larger sample size (28 patients with CM and 28 asymptomatic participants) was chosen. An additional 5% of the sample was included to allow for possible withdrawals that may occur during the physical evaluation. For these comparisons, the sample was finally 60 participants. The sample calculation required for the multiple regression analysis was performed taking into account the use of 8 predictor variables, an alpha error level of 0.05, a statistical power of 99% (1-B error), an R 2 of 0.2 and an effect size f 2 of 0.25, resulting in a total sample estimate of 65 patients with CM. Statistical analysis All analyses were performed using SPSS statistical software, version 27.0 (SPSS Inc., Chicago, IL). Statistical analyses were performed at a 95% confidence level; P-values < 0.05 were considered statistically significant. To compare descriptive statistics, physical variables and self-reports scores between the CM group and asymptomatic participants 𝑡-test for independent samples was used and the chi-square test was used to compare categorical variables. Effect sizes (Cohen’s 𝑑) were calculated for the outcome variables. According to Cohen’s method, the effect size was classified as small (0.20–0.49), moderate (0.50–0.79) or large (≥0.8) [46]. An analysis of covariance (ANCOVA) was used, it included “physical activity level” as a covariate for between-group comparisons of physical measures and kinesiophobia. For this analysis the effect size was estimated with partial eta squared (ηp2). The relationship between headache-related disability and physical and psychological variables in the CM group was examined using Pearson's correlation coefficients. A Pearson correlation coefficient > 0.60 indicated a strong correlation, a coefficient between 0.30 and 0.60 indicated a moderate correlation, and a coefficient < 0.30 indicated a low or very low correlation [47]. A stepwise multiple linear regression analysis was used to estimate the strength of the association between headache-related disability (criterion variable) and psychological, behavioral, and physical variables (predictor variables). Only variables that obtained moderate correlations in the correlation analysis were included in the regression model. We assessed multicollinearity in the models using the Variance Inflation Factor (VIF). A VIF near 1 implies minimal multicollinearity; values between 1 and 5 suggest moderate correlation among predictors; and a VIF over 10 indicates significant multicollinearity. In the development of our multiple linear regression model, we have performed comprehensive diagnostic analyses to verify its robustness and adherence to key assumptions. The model's evaluation began with an investigation into the homogeneity of variance, which is crucial for the reliability of the regression estimates. A graphical approach was employed, plotting residuals against fitted values to visually inspect the data. This plot revealed a random dispersion of residuals with no apparent patterns or funnels, leading us to confirm that the variance of the residuals is consistent across all levels of the independent variables, thereby satisfying the homogeneity criterion. Another critical assumption, the independence of observations, was rigorously tested using the Durbin-Watson statistic. This test is instrumental in detecting any autocorrelation in the residuals that could compromise the integrity of the regression analysis. A value of the statistic proximate to 2.0 was indicative of the absence of autocorrelation, thereby upholding the model's assumption of independent observations. Moreover, the normality of the residuals' distribution was scrutinized using Q-Q plots. These plots provided a visual assessment by comparing the distribution of the residuals to a perfectly normal distribution. The alignment of the residuals along a straight line on the Q-Q plots suggested that the distribution of the residuals aligns well with the assumption of normality. Lastly, the linearity assumption was substantiated by examining scatter plots of observed versus predicted values and normal P-P plots of standardized residuals. These assessments disclosed a clear linear trajectory, thereby reinforcing our confidence in the linearity of the relationship modeled. Results The total study sample consisted of 95 participants (30 asymptomatic participants and 65 patients with CM) who met the inclusion criteria. Statistically significant differences were found only in body mass index (which was higher in the CM group) and in the level of physical activity measured in METS (p=.01) (the control group were more active). There were statistically significant differences in the subclassification according to the level of physical activity (Figure 1). The statistics for the sociodemographic variables are presented in Table 1. All statistics followed a normal distribution except for those representing physical activity. Figure 1. Physical activity subclassification. The graph shows the subclassification of the physical activity levels of both study groups. Comparative analysis In the comparative analysis, there were statistically significant differences in the variables of range of motion, endurance and MIC for measurements in the cervical region and in other body segments (p<.05), and the effect sizes of these comparisons were moderate-high in magnitude (Table 2), with the endurance-related variables having the largest differences (Figure 2). Figure 2. Differences in endurance tests. The graphs represent the comparison of the endurance tests between the two groups. With respect to the kinesiophobia variable (TSK-11) and the avoidance subscale, there were statistically significant differences with a large effect size (TSK-11; p<.001; d =.93; Activity Avoidance, p=.001; d =.86); as well as for the harm subscale although the effect size was moderate (p=.030; d =.57). When adjusting with the physical activity covariate, only statistically significant results where obtained for the maximal isometric cervical flexion strength (F=8.05; p=.006; ηp2=.12), maximal isometric cervical extension strength (F=9.00; p=.004; ηp2=.14) and handgrip strength (F=7.29; p=.009; ηp2=.113) Correlation analysis Table 3 shows the Pearson correlation analysis. The highest correlations were between disability (HIT-6) and frequency of headaches (HIT-6) ( r = .51; p < .001); and between disability and the avoidance behaviors subscale of the PBQ ( r = .50; p < .001). The physical variables with the highest correlations with disability were the cervical flexor endurance test ( r = .31; p =.016) and handgrip strength ( r = .32; p = .012), and the correlations were negative in magnitude (Table 3). Regression analysis Table 4 presents the linear regression model for the disability criterion variable (HIT-6). The model found that headache frequency, avoidance behaviors (PBQ/ Avoidance behaviors subscale) and rest (PBQ/Rest subscale) were predictors of headache-related disability, explaining 41% of the variance. Six variables were excluded from the model (pain intensity, fear of movement, harm subscale, verbal complaint subscale, cervical endurance and handgrip strength). The results of the variance inflation factor indicate that there is very little multicollinearity in the model. Discussion This study aimed to compare cervical and overall physical variables in patients with CM and asymptomatic participants. Findings revealed that CM patients exhibited lower strength, endurance, and range of motion in all assessed regions. To our knowledge, this is the first study to evaluate these physical variables in the cervical region and in other regions. This represents a novel exploration, as previous research mainly focused on cervical neurophysiological mechanisms in migraine [11–14]. Our results introduce alternative hypotheses regarding the observed physical deficits in migraine patients. The reduced physical fitness variables may be linked to the lower physical activity levels observed in these patients, aligning with our initial hypothesis. Existing studies consistently show that migraine patients exhibit lower physical activity levels compared to asymptomatic participants [16, 48–52]. Although the relationship between physical activity levels and deficits in fitness-related variables seems relatively clear, the results are not at all clear when this relationship is established with respect to variables related to migraine worsening. Bond et al. found that patients with migraine had lower physical activity levels, but this has not been related, for example, to migraine frequency [52], with recent findings contradicting those results [16]. Importantly, physical activity or physical exercise was not found to cause migraine exacerbations [52], as recently suggested in other studies [53]. Bond et al. reported that the analyzed migraine population had a higher body mass index than the asymptomatic participants [52], a finding consistent with our results. A number of consistent results from the scientific literature suggest that obesity might be related to the prevalence, frequency and disability of migraine in both pediatric and adult populations [54]. Several literature reviews agree on the preventive effect of exercise on CM and EM [55–57], and it has been observed that women with headaches who are more physically active have a lower consumption of analgesics [58]. Meta-analyses have reported that aerobic exercise can decrease the frequency, duration and intensity of migraine attacks and improve the quality of life of these patients [59–61], a clinical trial with similar results using general strength training has recently been published [62]. However, another trial found no effect of specific strength training on the cervical region [63]. The neurophysiological relationship between the upper cervical region and the trigeminal nerve has been extensively documented, with an observed increase in the mechanosensitivity of the cervical region after dural stimulation [64]. The explanation for this phenomenon might be the convergence of both cervical and trigeminal innervation in the trigeminocervical nucleus in the brainstem [64]. This relationship could perhaps explain the high prevalence of neck pain in patients with migraine [8]. According to this assumption, some researchers have hypothesized that manual therapy and specific exercise interventions directed to the cervical region could improve both neck pain and migraine conditions. However, limited evidence exists regarding the effectiveness of manual therapy in the cervical region for migraine treatment that supports its application [61, 65–67]. Regarding the effectiveness of specific exercise interventions directed to the cervical region, they seem not to be superior to sham ultrasound nor aerobic exercise for the treatment of migraine [63, 68]. In contrast, aerobic exercise and full-body resistance training have shown significant results for reducing migraine symptoms and improving quality of life, as previously mentioned [60, 62]. The presence of central sensitization in thalamocortical and cortical levels in patients with migraine represents evidence of dysfunctional central pain mechanisms that could affect pain sensitivity throughout the body [69]. Cutaneous allodynia and temporal summation in extracephalic regions have also been associated with a worse outcome and a higher migraine frequency [70, 71]. It is hypothesized that exercise could produce a generalized decrease in pain due to exercise-induced analgesia, a phenomenon that seems to involucrate mainly opioid and endocannabinoid systems [72]. Aerobic exercise and full-body resistance exercise have also been shown to decrease pain sensitivity in other chronic pain populations, such as fibromyalgia and chronic low back pain [73–76]. These results demonstrate that it is not necessary to directly apply an exercise intervention to a specific region to obtain an improvement in pain. For this reason, it is possible that the cervical region is not a specific therapeutic target for patients with migraine. A more general physical assessment such as the one performed in our study should therefore be conducted to identify possible deficits in variables related to range of motion and strength/endurance to better determine the ideal exercise prescription for these patients. Findings related to headache-related disability show that the predictors are headache frequency, and activity avoidance and rest of the PBQ. Other studies have independently found relationships between disability and variables such as headache frequency, activity avoidance [77, 78] and social avoidance [78]. In relation to these three variables, it has been observed that patients with migraine who avoid physical activity were more likely to experience CM and more frequent headaches [79]. After the present results, authors’ recommendations for future research would be to assess the effects of a combined intervention including aerobic and full body strength exercises. In addition, the assessment of the physical condition of the migraine patients in a general approach would be needed over a segmental cervical assessment. Finally, we must remember that direct clinical indications cannot be performed due to the nature of the present study, however taking together the present results and the results obtained by previous research, exercise prescription seems necessary for the management of patients with migraine [80]. Limitations This study has limitations to consider. Physical activity data relied on self-reports, which are subjective and prone to recall bias and inaccuracies. Future research should employ objective instruments like accelerometers to capture precise physical activity data. Additionally, measuring cardiorespiratory fitness could offer a more comprehensive understanding of patients’ physical fitness. The cross-sectional design limits predictive insights. Comorbidities were not assessed, and comparisons with patients having episodic migraines (EM) could be beneficial in future studies, enhancing our understanding of physical variables’ behavior in CM versus EM patients. Conclusion This study revealed that patients with CM exhibit reduced overall range of motion, lower endurance and strength in cervical and non-cervical areas, and lower physical activity levels compared to asymptomatic participants. Headache-related disability was primarily associated with headache frequency, activity avoidance behaviors, and rest. These findings support the hypothesis that migraine patients have not only neck-related issues but also general lower body conditions. Declarations CONFLICTS OF INTEREST The authors certify that there is no conflict of interest with any financial organization regarding the material discussed in the manuscript. FUNDING The Centro Superior de Estudios Universitarios La Salle provided funding and support for this clinical practice guideline. AUTHORS’ CONTRIBUTIONS Author RL contributed to the conception and design of the manuscript. Author RL, author MGA, author ARV and author APA have given substantial contributions to acquisition, analysis and interpretation of the data. All authors have participated to drafting the manuscript, author TGP revised it critically. All authors read and approved the final version of the manuscript. DATA AVAILABILITY The datasets used and/or analysed during the current study available from the corresponding author on reasonable request. References Amiri P, Kazeminasab S, Nejadghaderi SA, et al (2021) Migraine: A Review on Its History, Global Epidemiology, Risk Factors, and Comorbidities. 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Measures CM group (n=30) Asymptomatic group (n=30) p-value t -test (independent samples) or chi-square test Age (years) 46.8±12.5 43±14.4 p=.281 BMI (kg/m 2 ) 25.9±4.7 23.8±1.6 p=.028 Gender Women 19 (63) 22 (73) p=.405 Men 11 (34) 8 (24) Marital Status p=.052 Married 12 (40) (60) Single 7 (23) (34) Divorced 5 (17) 1 (3) Widow 1 (3) 1 (3) No answer 5 (17) 0 Educational Level p=.299 Primary education 3 (10) 2 (7) Secundary education 14 (47) 9 (38) College education 13 (43) 19 (63) Employement Status p=.057 Unemployed 7 (23) 2 (6) Sick leave 7 (23) 2 (6) Active 13 (44) 17 (57) Student 2 (7) 5 (17) No answer 1 (3) 4 (13) IPAQ (Mets) 1554.4±2472.4 3848.4±4183.6 p=.001 Values are presented as mean ± SD or number (%); CM: Chronic Migraine; BMI: Body Mass Index; IPAQ: physical activity questionnaire. Table 2. Comparative analysis between the CM group and the asymptomatic group. Measures CM group (n=30) Asymptomatic group (n=30) Difference of Means (95% CI) t -student; p-value; Effect size ( d ) Covariate: Physical activity F; p-value; Eta Squared (η p2) ROM Cervical flexion-extension (º) 99.36±15.72 107.33±11.76 -7.96 (-15.14 to -.78) t =-2.22; p=.030; d =-.57 F=2.94; p=.091; ηp2=.05 Cervical rotation (º) 113.22±22.99 129.1±20.17 -15.3 (-26.47 to -4.12) t =-2.74; p=.008; d =-.71 F=.11; p=.739; ηp2=.002 Cervical lateral flexion (º) 71.43±18.79 83.16±10.56 -11.73 (-19.61 to -3.85) t =-2.98; p=.004; d =-.77 F=.63; p=.429; ηp2=.11 Lumbar flexion (º) 36.04±8.3 46.36±5.71 -10.32 (-14.03 to -6.63) t =-5.60; p<.001; d =-1.44 F=1.64; p=.205; ηp2=.03 Muscular endurance Cervical endurance (sec.) 22.53±7.81 36.3±7.41 -13.76 (-17.7 to -9.83) t = -7.01; p<.001; d =1.81 F=.03; p=.864; ηp2=.001 Lumbar endurance (sec.) 57.81±27.44 155.58±59.62 -97.77 (-121.76 to -73.78) t =-8.15; p<.001; d =-2.11 F=.28; p=.596; ηp2=.005 Muscular strength Cervical extension (Kgf) 21.16±5.72 25.1±6.18 -3.93 (-7.01 to -.85) t = -2.55; p=.013; d =-.66 F=8.05; p=.006; ηp2=.12 Cervical flexion (Kgf) 12.56±4.02 16±4.85 -3.43 (-5.73 to -1.13) t = -2.98; p=.004; d =-.77 F=9.00; p=.004; ηp2=.14 Handgrip (Kgf) 33.88±6.71 40.14±5.94 -6.25 (-9.53 to -2.98) t = -3.82; p<.001; d =-.98 F=7.29; p=.009; ηp2=.113 Lumbar Extension (Kgf) 43.78±13.42 75.71±19.34 -31.92 (-40.55 to -23.31) t =-7.42; p<.001; d =-1.91 F=.98; p=.362; ηp2=.02 Kinesiophobia (TSK-11) 27.63±7.08 21.7±5.52 5.93 (2.65 to 9.21) t = 3.61; p<.001; d =.93 F=.03; p=.859; ηp2=.001 Harm_subscale 10.36±3.51 8.66±2.29 1.7 (.16 to 3.23) t =2.22; p=.030; d =.57 F=0.004; p<.952; ηp2=.00 Activity Avoidance_subscale 17±4.71 13.33±3.69 3.66 (1.48 to 5.85) t = 3.35; p=.001; d =.86 F=.03; p<.867; ηp2=.00 Values are presented as mean ± standard deviation. CI: coefficient interval; CM: Chronic Migraine; ROM; Range of motion; TSK: Tampa Scale of Kinesiophobia. Table 3. Pearson correlation coefficients in CM group. N=60 Headache-related disability 56.4 ±7 Measures Mean ±SD r p-value Headache frequency 20.2±3.6 .51 ** <.001 Pain intensity 5.5±1.4 .41 ** .001 Harm_subscale 10.6±3.6 .31 * .016 Activity Avoidance_subscale 17.2±5 .29 .026 Pain behaviour_avoidance behaviors subscale 4.1±2.3 .50 ** <.001 Pain behaviour_Rest subscale 3.8±1.6 .40 ** .001 Pain behaviour_passive non-verbal complaint subscale 2.6±1.4 -.01 .927 Pain behaviour_active non-verbal complaint subscale 3.1±1.8 .07 .586 Pain behaviour_medication subscale 1.5±.9 .23 .070 Pain behaviour_verbal complaint_subscale 2.3±1.5 .31 * .014 CROM_FE 97.8±13.9 -.19 .132 CROM_ROT 111.8±20.8 -.16 .217 CROM_LF 70.1±17.8 .11 .410 LROM_F 37.3±7.5 -.23 .067 C_Endurance 21.4±7.3 -.31 * .016 L_Endurance 60.3±26.7 -.16 .195 CE_Strength 20.5±5.9 -0,23 .070 CF_Strength 12.5±4.1 -.17 .173 Handgrip strength 33.9±7.1 -.32 * .012 LE_strength 44.4±14.5 -.28 .030 IPAQ 1634.8 ± 1278.2 .15 .238 Values are presented as mean ± SD; CROM_FE: Cervical Range of motion_flexoextension; CROM_ROT: Cervical range of motion rotation; CROM_LF: Cervical range of motion lateral flexion; LROM_F: Lumbar range of motion flexion; C_Endurance: Cervical Endurance; L_Endurance: Lumbar Endurance; CE: cervical extension; CF: cervical Flexion; LE: lumbar extension; IPAQ: physical activity questionnaire. Table 4. Regression model for Headache-related disability in Chronic migraine group (n=65). Variable Criteria: Headache-related disability Overall model R 2 =.44; Adjusted R 2 =.41; F=14.695; p<.001 Predictor variables Regression coefficient (B) Standardized coefficient (β) p-value VIF Headache frequency .7 .38 .001 1.12 Pain behaviour_Avoidance behaviors subscale .9 .29 .012 1.26 Pain behaviour _Rest_subscale 1 .24 .029 1.15 Excluded variables Pain intensity - .25 .256 1.30 Harm subscale (TSK-11) - .09 .612 1.19 Pain behaviour _ verbal complaint_subscale - .05 .654 1.29 C_Endurance - .05 .574 1.25 Handgrip strength - .17 .093 1.11 VIF, Variance Inflation Factor; TSK: Tampa scale of kinesiophobia; C. Endurance: Cervical Endurance Additional Declarations No competing interests reported. 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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-4184239","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":289395278,"identity":"641a5a1d-0867-43ed-9d8c-b4c466f16415","order_by":0,"name":"Roy La Touche","email":"","orcid":"","institution":"Universidad Autónoma de Madrid","correspondingAuthor":false,"prefix":"","firstName":"Roy","middleName":"La","lastName":"Touche","suffix":""},{"id":289395279,"identity":"3da73038-4e03-4a2d-8023-e54445c09085","order_by":1,"name":"Teresa García-Pastor","email":"","orcid":"","institution":"Universidad Camilo José Cela","correspondingAuthor":false,"prefix":"","firstName":"Teresa","middleName":"","lastName":"García-Pastor","suffix":""},{"id":289395280,"identity":"d06880d3-339b-49c1-a267-f10b9d0a0065","order_by":2,"name":"Álvaro Reina-Varona","email":"","orcid":"","institution":"Universidad Autónoma de Madrid","correspondingAuthor":false,"prefix":"","firstName":"Álvaro","middleName":"","lastName":"Reina-Varona","suffix":""},{"id":289395281,"identity":"ce4bbb17-4dbd-453e-aad2-5df56eb63e5e","order_by":3,"name":"Alba Paris-Alemany","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA30lEQVRIiWNgGAWjYDACdh4wxcPA3gCkDCyI0MIM08JzAKRFgngtDAwSCWCSsA7+Zt6Dnwtq7snIz3x+dcOPAgkG/vbuBLxaJA7zJUvPOFbMY3A7p+xmD9BhEmfObsBvzWEeA2ketgQgmZN2gweoxUAiF78W+cM8xr95/iXwyM88k3bzDzFaDA7zmEnztiXwMNxgP3abKFsMD/OlWc/sAzrsTA7bbRkDCR6CfpE73nv4dsG3BHv59uPPbr75YyPH395LwPtAwAyheAzAJEHlSFrYHxClehSMglEwCkYeAADRX0EhERbqIwAAAABJRU5ErkJggg==","orcid":"","institution":"Universidad Complutense de Madrid","correspondingAuthor":true,"prefix":"","firstName":"Alba","middleName":"","lastName":"Paris-Alemany","suffix":""},{"id":289395282,"identity":"2ca1767f-d44b-4c99-8968-e4a630763386","order_by":4,"name":"Mónica Grande-Alonso","email":"","orcid":"","institution":"Universidad de Alcalá de Henares","correspondingAuthor":false,"prefix":"","firstName":"Mónica","middleName":"","lastName":"Grande-Alonso","suffix":""}],"badges":[],"createdAt":"2024-03-28 19:44:30","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4184239/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4184239/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-024-81841-w","type":"published","date":"2024-12-28T15:56:50+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":72640223,"identity":"4854cbef-82ff-4eb4-82b7-2be1555bdb75","added_by":"auto","created_at":"2024-12-30 16:00:49","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":753330,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4184239/v1/d557a311-9afc-4457-8ffa-6d6d9bcf15a8.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Beyond Neck Physical Function: Evidence of General Functional Impairment in Migraine Patients","fulltext":[{"header":"Introduction","content":"\u003cp\u003eMigraine is a complex and multifactorial neurological disorder [1] that can present as episodic or chronic, depending on the frequency of the signs and symptoms [2].\u003c/p\u003e\n\u003cp\u003eEpidemiologically, migraine is one of the most disabling disorders worldwide [3]. The prevalence of CM is estimated to be between 1% and 2.2% of the general population [4, 5], and it has been reported that 3.1% of patients with EM might progress to CM [6].\u0026nbsp;\u003c/p\u003e\n\u003cp\u003ePatients with migraine might experience neck discomfort and stiffness during the various phases of the migraine attack [7]. Recent evidence based on a meta-analytical analysis indicates that neck pain is a highly prevalent symptom in patients with CM [8] and has been reported as an even more prevalent symptom than nausea [9]. These and other findings suggest that factors associated with cervical disability should be considered in the prevention and treatment of migraine and suggest the need for further research [10].\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eOne of the most extensively studied aspects of the cervical region has been range of motion deficits. The results of these studies confirm that patients with CM and EM present decreased cervical range of motion compared with the asymptomatic population [11, 12]. The data obtained for neck range of motion in patients with migraine were\u0026nbsp;59.3\u0026ordm; extension, 44.5\u0026ordm; left lateral flexion and 60.8\u0026ordm; right rotation [11], also reduced flexion rotation test mobility and reduced velocity of neck movements [12].\u0026nbsp;It has also been observed that limitations in range of motion were related to migraine frequency and disability [12].\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAnother cervical function characteristic found to be altered in patients with migraine is the strength and endurance of the cervical musculature [13\u0026ndash;15]. The flexor endurance was found to be a 25% reduced compared to controls [13]. Regarding strength, difference lower cervical extension force was obtained with a difference of 4.4 N/Kg [14]. This strength deficit has been associated with cutaneous allodynia [15] and migraine frequency [14]. Also, significantly greater coactivation of antagonist muscles (splenius capitis muscle) was found among EM and CM compared to controls [14].\u003c/p\u003e\n\u003cp\u003eAlthough the findings on cervical function disorders in migraine are important, these studies have a significant limitation in that the assessment of strength and travel was evaluated only in the cervical region, which questions the specificity of the results, especially considering that recent evidence reports that patients with migraine have lower levels of physical activity than the asymptomatic population [16]. Indeed, lower cardiovascular fitness levels had higher long-term risk of developing migraine [17]. These findings support our hypothesis that deficits in physical variables such as strength and range of motion occur at a general level and not only in the cervical region.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003ePhysical activity avoidance behaviors have been reported in patients with migraine, as a product of cognition associated with the fear and worsening of headaches [18]. Anxiety [18] and fear of movement [12, 19] are factors associated with avoidance of physical activity and avoidance of cervical and head movements.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThese findings suggest two hypotheses: 1) Migraine patients exhibit general, not localized, functional deficits in strength and range of motion, linked to reduced physical activity; and 2) Migraine-related disability correlates with functional deficits, low physical activity, and psychological factors. This study aims to provide a comprehensive understanding of migraine patients, potentially influencing treatment strategies. Unlike previous cervical-focused research, it employs a thorough evaluation of overall physical condition. The primary objective is to compare cervical region strength and range of motion with other areas in CM patients and asymptomatic participants. Secondary goals involve analyzing CM disability\u0026apos;s association with physical/psychological factors and comparing physical activity levels between CM patients and asymptomatic individuals.\u003c/p\u003e"},{"header":"Materials and methods","content":"\u003cp\u003e\u003cu\u003eStudy design\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eThis cross-sectional study employed purposive sampling, adhering to STROBE guidelines\u0026nbsp;[20]. Participants received comprehensive information and provided voluntary informed consent. Ethical principles following the Declaration of Helsinki were upheld [21], with approval from the Centro Superior de Estudios Universitarios La Salle ethics committee (CSEULS-PI-034/2019).\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eParticipants\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eThe participants included in the study were required to meet the proposed inclusion criteria. Male and female adult patients aged between 18 and 65 years were recruited and were required to have a good command of the Spanish language. Participants in the CM group were recruited from a clinic specializing in treating patients with temporomandibular disorders, headaches, and craniofacial pain (Madrid, Spain). The patients had to have a previous medical diagnosis and meet the CM criteria of the International Classification for Headache Disorders [22], which are as follows: a) headache frequency ≥ 15 days per month; b) migraine symptom frequency ≥ 8 days; c) chronicity ≥ 3 months; and d) a history of migraine starting before the age of 50 years. The following cases were excluded: a) previous cervical and cranial trauma; b) infectious or tumor diseases; and c) recent surgical procedures (in the previous 12 months).\u003c/p\u003e\n\u003cp\u003eThe control group consisted of asymptomatic individuals with no history of head and neck pain for at least one year and who did not require any medical treatment or physiotherapy. Participants in this group were intentionally age-matched with those in the CM group to achieve similar groups. The control group was recruited through social networking from a university population.\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eProcedure\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eAfter giving their consent to participate in the study, all participants were given a set of questionnaires, which included a socio-demographic assessment and were asked to complete a series of self-reports: Head Impact Test (HIT-6) [23], International Physical Activity Questionnaire (IPAQ) [24], Tampa scale of Kinesiophobia (TSK-11) [25], Pain Catastrophism Scale (PCS) [26], chronic pain self-efficacy scale (CPSS) [27], Pain Behaviors Questionnaire (PBQ) [28].\u003c/p\u003e\n\u003cp\u003eAfter the participants had completed the self-report measures, the following physical measures were assessed: cervical range of motion, lumbar range of motion, cervical flexor muscle endurance, maximal isometric contraction in cervical flexion and extension, maximal lumbar isometric contraction and handgrip dynamometry. The assessor was a physical therapist blinded to the participants’ condition. All patients’ assessments were done during the interictal periods.\u003c/p\u003e\n\u003cp\u003e\u003cu\u003ePhysical measures\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eCervical range of motion\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eCervical range of motion (CROM) was measured with a cervical range-of-motion device referred to as a CROM (Performance Attainment Associates, Lindstrom, MN) [29], which consists of three independent inclinometers, one for each plane of motion, attached to a plastic frame similar to a pair of glasses. The cervical ranges of motion measured were 1) flexion-extension, 3) right-left lateral flexion, 5) right-left rotation. The CROM has proven to be a valid and reliable tool for measuring the range of motion of the cervical region [30].\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eLumbar range of movement\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eLumbar flexion range of motion was assessed with a digital inclinometer based on the iHandy mobile application. To perform the measurement, the assessor holds the mobile device over the participants’ sacrum and applies light pressure while the participants perform a lumbar flexion movement. This measurement has been shown to have good intra-rater and inter-rater reliability, with an intra-class correlation coefficient ≥ 0.86 [31].\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eEndurance of the cervical musculature\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe endurance of the cervical musculature was measured with the deep neck flexor endurance test, which\u0026nbsp;has good reliability\u0026nbsp;[32].\u0026nbsp;Participants were placed in the supine position. The examiner raised the participants’ head 2.5 cm above the couch and instructed the participants to hold this position for as long as possible. The examiner then let go of the participants’ head, leaving it suspended, held in place only by the participants’ muscle exertion.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eEndurance of the lumbar musculature\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eLumbar extensor muscle strength was assessed using the Ito test. Participants lay prone with a 10-cm pillow beneath their lower abdomen to reduce lumbar lordosis. With arms parallel to the body axis, they raised their upper body to a 15° angle, maintaining a neutral cervical spine position, and both feet on the couch. The test continued until fatigue, with termination upon a \u0026gt;10° decrease in trunk angle. Two brief practice attempts (5 seconds) ensured correct execution. The Ito test is a valid and reliable measure of lumbar extensor muscle strength [33].\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eCervical strength\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eMaximal isometric contraction (MIC) of cervical flexion and extension was assessed using a calibrated handheld digital dynamometer (MicroFET 2 dynamometer, Hoggan Health Industries, Salt Lake City, UT). The dynamometer, with a cushioned pad, was placed on the area to be assessed. For flexion MIC, participants were supine, with the pad on their forehead, performing maximal craniocervical flexion. For extension MIC, participants were prone, with the pad on the occipital area, resisting the assessor's opposing force. Each movement was tested three times for 5 seconds with a 60-second rest, showing good reliability\u0026nbsp;[34].\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eLumbar strength\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe extension MIC of the lumbar region was measured using a foot dynamometer (Takei TM 5420, Takei Scientific Instruments CO., Niigata City, Japan). This device has been validated and can be used to determine leg and back strength in held positions, provided that the measurement protocol is standardized (r, 0.91; P \u0026lt; 0.001) [35]. For the measurement, the participants let their arms hang down to hold the\u0026nbsp;dynamometer’s\u0026nbsp;bar with both hands with the palms facing the body. The dynamometer chain was then adjusted so that the knees were flexed to approximately 110°. The evaluator took 3 measurements; the mean was used in the data analysis.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eHandgrip strength\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eIsometric handgrip strength was measured using a JAMAR hydraulic handgrip dynamometer (Sammons Preston, Rolyon, Bolingbrook, IL), following the procedure recommended by Roberts et al. Participants sat upright with feet flat on the floor, elbows flexed at 90°, and wrists and forearms in a neutral position [36]. Grip strength was recorded thrice on the dominant hand with a 30-second interval between measurements. This test demonstrates excellent reliability across various populations and conditions [37–39].\u003c/p\u003e\n\u003cp\u003e\u003cu\u003ePsychological and disability measures\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eHeadache-related disability\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eDisability was assessed using the Spanish HIT-6, comprising 6 items to measure headache-related disability in CM patients [23]. The questionnaire exhibits acceptable psychometric properties and validation for CM patients [40]. \u0026nbsp;Scores range from 36 to 78 points, categorized into four severity levels: little or no impact (36–49), some impact (50–55), substantial impact (56–59), and severe impact (60–78).\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePain behaviors\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe PBQ assesses pain-related behaviors, initially validated in headache patients [41, 42]. The Spanish version, validated in migraine and tension headache patients, exhibits strong psychometric properties, comprising 19 items across six factors: avoidance behaviors (5 items), active non-verbal complaint (4 items), passive non-verbal complaint (3 items), verbal complaint (3 items), rest (2 items), and medication (2 items) [28].\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eFear of movement\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eWe assessed fear of movement using the Spanish TSK-11, with good psychometric properties (Cronbach’s α, 0.81) [25]. \u0026nbsp;It has 2 subscales: one for fear of physical activity and another for fear of harm. Each of 11 items was scored 1–4 (1 = “strongly disagree”, 2 = “disagree”, 3 = “agree”, 4 = “strongly agree”), yielding scores from 11 to 44.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePhysical activity level\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe IPAQ assessed participants' physical activity, categorizing them into three levels (high, moderate, low/sedentary) and estimating activity in METs. IPAQ's psychometric properties are accepted; it has a reliability of about 0.77 (95% CI 0.67–0.84)\u0026nbsp;[43].\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePain intensity\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eSelf-reported pain intensity was assessed using the numerical pain scale (NPS) (0–10/10). A score of 0 indicates “no pain”, while a score of 10 indicates “maximum possible pain intensity”\u0026nbsp;[44].\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eSample size\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eThe sample size was estimated with G*Power 3.1.7 (G*Power of the University of Düsseldorf, Germany)\u0026nbsp;[45]. A pilot study was conducted with 16 patients with CM and 16 asymptomatic participants to determine differences using Student’s t-test and effect size to compare cervical muscle endurance variables and the handgrip dynamometry pressure. The study employed an alpha error level of 0.05, a statistical power of 80% (1-B error) and an effect size \u003cem\u003ed\u003c/em\u003e (0.68 and 0.81). The estimated total sample size was 56 for the cervical muscle endurance variable and 40 for the handgrip dynamometry variable; ultimately, the larger sample size (28 patients with CM and 28 asymptomatic participants) was chosen. An additional 5% of the sample was included to allow for possible withdrawals that may occur during the physical evaluation. For these comparisons, the sample was finally 60 participants.\u003c/p\u003e\n\u003cp\u003eThe sample calculation required for the multiple regression analysis was performed taking into account the use of 8 predictor variables, an alpha error level of 0.05, a statistical power of 99% (1-B error), an R\u003csup\u003e2\u0026nbsp;\u003c/sup\u003eof 0.2 and an effect size f\u003csup\u003e2\u0026nbsp;\u003c/sup\u003eof 0.25, resulting in a total sample estimate of 65 patients with CM.\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eStatistical analysis\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eAll analyses were performed using SPSS statistical software, version 27.0 (SPSS Inc., Chicago, IL). Statistical analyses were performed at a 95% confidence level; P-values \u0026lt; 0.05 were considered statistically significant. To compare descriptive statistics, physical variables and self-reports scores between the CM group and asymptomatic participants\u0026nbsp;𝑡-test for independent samples was used and the chi-square test was used to compare categorical variables. Effect sizes (Cohen’s\u0026nbsp;𝑑) were calculated for the outcome variables. According to Cohen’s method, the effect size was classified as small (0.20–0.49), moderate (0.50–0.79) or large (≥0.8) [46].\u003c/p\u003e\n\u003cp\u003eAn analysis of covariance (ANCOVA) was used, it included “physical activity level” as a covariate for between-group comparisons of physical measures and kinesiophobia. For this analysis the effect size was estimated with partial eta squared (ηp2).\u003c/p\u003e\n\u003cp\u003eThe relationship between headache-related disability and physical and psychological variables in the CM group was examined using Pearson's correlation coefficients. A Pearson correlation coefficient \u0026gt; 0.60 indicated a strong correlation, a coefficient between 0.30 and 0.60 indicated a moderate correlation, and a coefficient \u0026lt; 0.30 indicated a low or very low correlation [47].\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eA stepwise multiple linear regression analysis was used to estimate the strength of the association between headache-related disability (criterion variable) and psychological, behavioral, and physical variables (predictor variables). Only variables that obtained moderate correlations in the correlation analysis were included in the regression model. \u0026nbsp;We assessed multicollinearity in the models using the Variance Inflation Factor (VIF). A VIF near 1 implies minimal multicollinearity; values between 1 and 5 suggest moderate correlation among predictors; and a VIF over 10 indicates significant multicollinearity.\u003c/p\u003e\n\u003cp\u003eIn the development of our multiple linear regression model, we have performed comprehensive diagnostic analyses to verify its robustness and adherence to key assumptions.\u003c/p\u003e\n\u003cp\u003eThe model's evaluation began with an investigation into the homogeneity of variance, which is crucial for the reliability of the regression estimates. A graphical approach was employed, plotting residuals against fitted values to visually inspect the data. This plot revealed a random dispersion of residuals with no apparent patterns or funnels, leading us to confirm that the variance of the residuals is consistent across all levels of the independent variables, thereby satisfying the homogeneity criterion.\u003c/p\u003e\n\u003cp\u003eAnother critical assumption, the independence of observations, was rigorously tested using the Durbin-Watson statistic. This test is instrumental in detecting any autocorrelation in the residuals that could compromise the integrity of the regression analysis. A value of the statistic proximate to 2.0 was indicative of the absence of autocorrelation, thereby upholding the model's assumption of independent observations.\u003c/p\u003e\n\u003cp\u003eMoreover, the normality of the residuals' distribution was scrutinized using Q-Q plots. These plots provided a visual assessment by comparing the distribution of the residuals to a perfectly normal distribution. The alignment of the residuals along a straight line on the Q-Q plots suggested that the distribution of the residuals aligns well with the assumption of normality.\u003c/p\u003e\n\u003cp\u003eLastly, the linearity assumption was substantiated by examining scatter plots of observed versus predicted values and normal P-P plots of standardized residuals. These assessments disclosed a clear linear trajectory, thereby reinforcing our confidence in the linearity of the relationship modeled.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eThe total study sample consisted of 95 participants (30 asymptomatic participants and 65 patients with CM) who met the inclusion criteria. Statistically significant differences were found only in body mass index (which was higher in the CM group) and in the level of physical activity measured in METS (p=.01) (the control group were more active). There were statistically significant differences in the subclassification according to the level of physical activity (Figure 1). The statistics for the sociodemographic variables are presented in Table 1. All statistics followed a normal distribution except for those representing physical activity.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure 1.\u003c/strong\u003e \u003cstrong\u003ePhysical activity subclassification.\u0026nbsp;\u003c/strong\u003eThe graph shows the subclassification of the physical activity levels of both study groups.\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eComparative analysis\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eIn the comparative analysis, there were statistically significant differences in the variables of range of motion, endurance and MIC for measurements in the cervical region and in other body segments\u0026nbsp;(p\u0026lt;.05), and the effect sizes of these comparisons were moderate-high in magnitude (Table 2), with the endurance-related variables having the largest differences (Figure 2).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure 2. Differences in endurance tests.\u003c/strong\u003e The graphs represent the comparison of the endurance tests between the two groups.\u003c/p\u003e\n\u003cp\u003eWith respect to the kinesiophobia variable (TSK-11) and the avoidance subscale, there were statistically significant differences with a large effect size (TSK-11; p\u0026lt;.001; \u003cem\u003ed\u003c/em\u003e=.93; Activity Avoidance, p=.001; \u003cem\u003ed\u003c/em\u003e=.86); as well as for the harm subscale although the effect size was moderate (p=.030; \u003cem\u003ed\u003c/em\u003e=.57).\u003c/p\u003e\n\u003cp\u003eWhen adjusting with the physical activity covariate, only statistically significant results where obtained for the maximal isometric cervical flexion strength (F=8.05; p=.006; ηp2=.12), maximal isometric cervical extension strength (F=9.00; p=.004; ηp2=.14) and handgrip strength (F=7.29; p=.009; ηp2=.113)\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eCorrelation analysis\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eTable 3 shows the Pearson correlation analysis. The highest correlations were between disability (HIT-6) and frequency of headaches (HIT-6)\u0026nbsp;(\u003cem\u003er\u003c/em\u003e = .51; p \u0026lt; .001); and between disability and the avoidance behaviors subscale of the PBQ (\u003cem\u003er\u003c/em\u003e = .50; p \u0026lt; .001).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe physical variables with the highest correlations with disability were the cervical flexor endurance test (\u003cem\u003er\u003c/em\u003e = .31; p =.016) and handgrip strength (\u003cem\u003er\u003c/em\u003e = .32; p = .012), and the correlations were negative in magnitude (Table 3).\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eRegression analysis\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eTable 4 presents the linear regression model for the disability criterion variable (HIT-6). The model found that headache frequency, avoidance behaviors (PBQ/ Avoidance behaviors subscale) and rest (PBQ/Rest subscale) were predictors of headache-related disability, explaining 41% of the variance. Six variables were excluded from the model (pain intensity, fear of movement, harm subscale, verbal complaint subscale, cervical endurance and handgrip strength). The results of the variance inflation factor indicate that there is very little multicollinearity in the model.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis study aimed to compare cervical and overall physical variables in patients with CM and asymptomatic participants. Findings revealed that CM patients exhibited lower strength, endurance, and range of motion in all assessed regions. To our knowledge, this is the first study to evaluate these physical variables in the cervical region and in other regions. This represents a novel exploration, as previous research mainly focused on cervical neurophysiological mechanisms in migraine\u0026nbsp;[11–14]. Our results introduce alternative hypotheses regarding the observed physical deficits in migraine patients.\u003c/p\u003e\n\u003cp\u003eThe reduced physical fitness variables may be linked to the lower physical activity levels observed in these patients, aligning with our initial hypothesis. Existing studies consistently show that migraine patients exhibit lower physical activity levels compared to asymptomatic participants [16, 48–52].\u0026nbsp;Although the relationship between physical activity levels and deficits in fitness-related variables seems relatively clear, the results are not at all clear when this relationship is established with respect to variables related to migraine worsening. Bond et al. found that patients with migraine had lower physical activity levels, but this has not been related, for example, to migraine frequency [52], with recent findings contradicting those results [16]. Importantly, physical activity or physical exercise was not found to cause migraine exacerbations [52], as recently suggested in other studies [53].\u003c/p\u003e\n\u003cp\u003eBond et al. reported that the analyzed migraine population had a higher body mass index than the asymptomatic participants [52], a finding consistent with our results. A number of consistent results from the scientific literature suggest that obesity might be related to the prevalence, frequency and disability of migraine in both pediatric and adult populations [54].\u003c/p\u003e\n\u003cp\u003eSeveral literature reviews agree on the preventive effect of exercise on CM and EM [55–57], and it has been observed that women with headaches who are more physically active have a lower consumption of analgesics [58]. Meta-analyses have reported that aerobic exercise can decrease the frequency, duration and intensity of migraine attacks and improve the quality of life of these patients [59–61], a clinical trial with similar results using general strength training has recently been published [62]. However, another trial found no effect of specific strength training on the cervical region [63].\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe neurophysiological relationship between the upper cervical region and the trigeminal nerve has been extensively documented, with an observed increase in the mechanosensitivity of the cervical region after dural stimulation [64]. The explanation for this phenomenon might be the convergence of both cervical and trigeminal innervation in the trigeminocervical nucleus in the brainstem [64]. This relationship could perhaps explain the high prevalence of neck pain in patients with migraine [8]. According to this assumption, some researchers have hypothesized that manual therapy and specific exercise interventions directed to the cervical region could improve both neck pain and migraine conditions. However, limited evidence exists regarding the effectiveness of manual therapy in the cervical region for migraine treatment that supports its application [61, 65–67]. Regarding the effectiveness of specific exercise interventions directed to the cervical region, they seem not to be superior to sham ultrasound nor aerobic exercise for the treatment of migraine [63, 68]. In contrast, aerobic exercise and full-body resistance training have shown significant results for reducing migraine symptoms and improving quality of life, as previously mentioned [60, 62]. The presence of central sensitization in thalamocortical and cortical levels in patients with migraine represents evidence of dysfunctional central pain mechanisms that could affect pain sensitivity throughout the body [69]. Cutaneous allodynia and temporal summation in extracephalic regions have also been associated with a worse outcome and a higher migraine frequency [70, 71]. It is hypothesized that exercise could produce a generalized decrease in pain due to exercise-induced analgesia, a phenomenon that seems to involucrate mainly opioid and endocannabinoid systems [72]. Aerobic exercise and full-body resistance exercise have also been shown to decrease pain sensitivity in other chronic pain populations, such as fibromyalgia and chronic low back pain [73–76]. These results demonstrate that it is not necessary to directly apply an exercise intervention to a specific region to obtain an improvement in pain.\u003c/p\u003e\n\u003cp\u003eFor this reason, it is possible that the cervical region is not a specific therapeutic target for patients with migraine. A more general physical assessment such as the one performed in our study should therefore be conducted to identify possible deficits in variables related to range of motion and strength/endurance to better determine the ideal exercise prescription for these patients. \u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFindings related to headache-related disability show that the predictors are headache frequency, and activity avoidance and rest of the PBQ. Other studies have independently found relationships between disability and variables such as headache frequency, activity avoidance [77, 78] and social avoidance [78]. In relation to these three variables, it has been observed that patients with migraine who avoid physical activity were more likely to experience CM and more frequent headaches [79].\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAfter the present results, authors’ recommendations for future research would be to assess the effects of a combined intervention including aerobic and full body strength exercises. In addition, the assessment of the physical condition of the migraine patients in a general approach would be needed over a segmental cervical assessment.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFinally, we must remember that direct clinical indications cannot be performed due to the nature of the present study, however taking together the present results and the results obtained by previous research, exercise prescription seems necessary for the management of patients with migraine [80].\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eLimitations\u0026nbsp;\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eThis study has limitations to consider. Physical activity data relied on self-reports, which are subjective and prone to recall bias and inaccuracies. Future research should employ objective instruments like accelerometers to capture precise physical activity data. Additionally, measuring cardiorespiratory fitness could offer a more comprehensive understanding of patients’ physical fitness. The cross-sectional design limits predictive insights. Comorbidities were not assessed, and comparisons with patients having episodic migraines (EM) could be beneficial in future studies, enhancing our understanding of physical variables’ behavior in CM versus EM patients.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study revealed that patients with CM exhibit reduced overall range of motion, lower endurance and strength in cervical and non-cervical areas, and lower physical activity levels compared to asymptomatic participants. Headache-related disability was primarily associated with headache frequency, activity avoidance behaviors, and rest. These findings support the hypothesis that migraine patients have not only neck-related issues but also general lower body conditions.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eCONFLICTS OF INTEREST\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors certify that there is no conflict of interest with any financial organization regarding the material discussed in the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFUNDING\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe Centro Superior de Estudios Universitarios La Salle provided funding and support for this clinical practice guideline.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAUTHORS’ CONTRIBUTIONS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAuthor RL contributed to the conception and design of the manuscript. Author RL, author MGA, author ARV and author APA have given substantial contributions to acquisition, analysis and interpretation of the data. All authors have participated to drafting the manuscript, author TGP revised it critically. All authors read and approved the final version of the manuscript.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDATA AVAILABILITY\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets used and/or analysed during the current study available from the corresponding author on reasonable request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAmiri P, Kazeminasab S, Nejadghaderi SA, et al (2021) Migraine: A Review on Its History, Global Epidemiology, Risk Factors, and Comorbidities. Front Neurol 12:800605. https://doi.org/10.3389/FNEUR.2021.800605\u003c/li\u003e\n\u003cli\u003eMathew NT, Stubits E, Nigam MP (1982) Transformation of episodic migraine into daily headache: analysis of factors. 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Scand J Med Sci Sports 30:965\u0026ndash;982. https://doi.org/10.1111/sms.13625\u003c/li\u003e\n\u003cli\u003eHerranz-G\u0026oacute;mez A, Garc\u0026iacute;a-Pascual I, Montero-Iniesta P, et al (2021) Effectiveness of Exercise and Manual Therapy as Treatment for Patients with Migraine, Tension-Type Headache or Cervicogenic Headache: An Umbrella and Mapping Review with Meta-Meta-Analysis. Applied Sciences 11:6856. https://doi.org/10.3390/app11156856\u003c/li\u003e\n\u003cli\u003eSari Aslani P, Hassanpour M, Razi O, et al (2021) Resistance training reduces pain indices and improves quality of life and body strength in women with migraine disorders. Sport Sciences for Health 2021 18:2 18:433\u0026ndash;443. https://doi.org/10.1007/S11332-021-00822-Y\u003c/li\u003e\n\u003cli\u003eBenatto MT, Florencio LL, Bragatto MM, et al (2022) Neck-specific strengthening exercise compared with placebo sham ultrasound in patients with migraine: a randomized controlled trial. BMC Neurol 22:126. https://doi.org/10.1186/S12883-022-02650-0\u003c/li\u003e\n\u003cli\u003eBartsch T, Goadsby PJ (2003) Increased responses in trigeminocervical nociceptive neurons to cervical input after stimulation of the dura mater. Brain 126:1801\u0026ndash;1813. https://doi.org/10.1093/brain/awg190\u003c/li\u003e\n\u003cli\u003eLuedtke K, Starke W, Korn K von, et al (2020) Neck treatment compared to aerobic exercise in migraine: A preference-based clinical trial. Cephalalgia Rep 3:251581632093068. https://doi.org/10.1177/2515816320930681\u003c/li\u003e\n\u003cli\u003eJafari M, Bahrpeyma F, Togha M, et al (2023) Effects of Upper Cervical Spine Manual Therapy on Central Sensitization and Disability in Subjects with Migraine and Neck Pain. Muscles Ligaments Tendons J 13:177\u0026ndash;185. https://doi.org/10.32098/MLTJ.01.2023.21\u003c/li\u003e\n\u003cli\u003eMu\u0026ntilde;oz-G\u0026oacute;mez E, Ingl\u0026eacute;s M, Serra-A\u0026ntilde;\u0026oacute; P, Esp\u0026iacute;-L\u0026oacute;pez G V. (2021) Effectiveness of a manual therapy protocol based on articulatory techniques in migraine patients. A randomized controlled trial. Musculoskelet Sci Pract 54:102386. https://doi.org/10.1016/J.MSKSP.2021.102386\u003c/li\u003e\n\u003cli\u003eIs EE, Coskun O, Likos Akpinar R, Is S (2024) The effectiveness of aerobic exercise and neck exercises in pediatric migraine treatment: a randomized controlled single-blind study. Ir J Med Sci 1\u0026ndash;9. https://doi.org/10.1007/S11845-024-03660-2/TABLES/6\u003c/li\u003e\n\u003cli\u003eSebastianelli G, Casillo F, Abagnale C, et al (2023) Central sensitization mechanisms in chronic migraine with medication overuse headache: a study of thalamocortical activation and lateral cortical inhibition. Cephalalgia 43:. https://doi.org/10.1177/03331024231202240/ASSET/IMAGES/LARGE/10.1177_03331024231202240-FIG4.JPEG\u003c/li\u003e\n\u003cli\u003ePijpers JA, Kies DA, van Zwet EW, et al (2023) Cutaneous allodynia as predictor for treatment response in chronic migraine: a cohort study. Journal of Headache and Pain 24:1\u0026ndash;11. https://doi.org/10.1186/S10194-023-01651-9/TABLES/3\u003c/li\u003e\n\u003cli\u003eDe Icco R, Perrotta A, Grillo V, et al (2020) Experimentally induced spinal nociceptive sensitization increases with migraine frequency: a single-blind controlled study. Pain 161:429\u0026ndash;438. https://doi.org/10.1097/J.PAIN.0000000000001726\u003c/li\u003e\n\u003cli\u003eLesnak JB, Sluka KA (2020) Mechanism of exercise-induced analgesia: what we can learn from physically active animals. Pain Rep 5:E850. https://doi.org/10.1097/PR9.0000000000000850\u003c/li\u003e\n\u003cli\u003eHernando-Garijo I, Ceballos-Laita L, Mingo-G\u0026oacute;mez MT, et al (2021) Immediate Effects of a Telerehabilitation Program Based on Aerobic Exercise in Women with Fibromyalgia. International Journal of Environmental Research and Public Health 2021, Vol 18, Page 2075 18:2075. https://doi.org/10.3390/IJERPH18042075\u003c/li\u003e\n\u003cli\u003eLarsson A, Palstam A, L\u0026ouml;fgren M, et al (2015) Resistance exercise improves muscle strength, health status and pain intensity in fibromyalgia--a randomized controlled trial. Arthritis Res Ther 17:. https://doi.org/10.1186/S13075-015-0679-1\u003c/li\u003e\n\u003cli\u003eSuh JH, Kim H, Jung GP, et al (2019) The effect of lumbar stabilization and walking exercises on chronic low back pain: A randomized controlled trial. Medicine 98:e16173. https://doi.org/10.1097/MD.0000000000016173\u003c/li\u003e\n\u003cli\u003eCortell-Tormo JM, S\u0026aacute;nchez PT, Chulvi-Medrano I, et al (2018) Effects of functional resistance training on fitness and quality of life in females with chronic nonspecific low-back pain. J Back Musculoskelet Rehabil 31:95\u0026ndash;105. https://doi.org/10.3233/BMR-169684\u003c/li\u003e\n\u003cli\u003ePradeep R, Nemichandra SC, Harsha S, Radhika K (2020) Migraine Disability, Quality of Life, and Its Predictors. Ann Neurosci 27:18\u0026ndash;23. https://doi.org/10.1177/0972753120929563\u003c/li\u003e\n\u003cli\u003eKlonowski T, Kropp P, Straube A, Ruscheweyh R (2022) Psychological factors associated with headache frequency, intensity, and headache-related disability in migraine patients. Neurological sciences 43:1255\u0026ndash;1266. https://doi.org/10.1007/S10072-021-05453-2\u003c/li\u003e\n\u003cli\u003eFarris SG, Thomas JG, Abrantes AM, et al (2018) Intentional avoidance of physical activity in women with migraine. Cephalalgia Rep 1:251581631878828. https://doi.org/10.1177/2515816318788284\u003c/li\u003e\n\u003cli\u003eLa Touche R, Fierro-Marrero J, S\u0026aacute;nchez-Ru\u0026iacute;z I, et al (2023) Prescription of therapeutic exercise in migraine, an evidence-based clinical practice guideline. J Headache Pain 24:68. https://doi.org/10.1186/S10194-023-01571-8\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable 1.\u003c/strong\u003e Descriptive statistics for sociodemographic data.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMeasures\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCM group\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=30)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAsymptomatic\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003egroup\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=30)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ep-value \u003cem\u003et\u003c/em\u003e-test (independent samples) or chi-square test\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge (years)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e46.8\u0026plusmn;12.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e43\u0026plusmn;14.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003ep=.281\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eBMI (kg/m\u003csup\u003e2\u003c/sup\u003e)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e25.9\u0026plusmn;4.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e23.8\u0026plusmn;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003ep=.028\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eGender\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003eWomen\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e19 (63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e22 (73)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003ep=.405\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003eMen\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e11 (34)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e8 (24)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMarital Status\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003ep=.052\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003eMarried\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e12 (40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003col\u003e\n \u003cli\u003e(60)\u003c/li\u003e\n \u003c/ol\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003eSingle\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e7 (23)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003col\u003e\n \u003cli\u003e(34)\u003c/li\u003e\n \u003c/ol\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003eDivorced\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e5 (17)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e1 (3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003eWidow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e1 (3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e1 (3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003eNo answer\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e5 (17)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eEducational Level\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003ep=.299\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; Primary education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e3 (10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e2 (7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; Secundary education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e14 (47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e9 (38)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; College education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e13 (43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e19 (63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eEmployement Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003ep=.057\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003eUnemployed\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e7 (23)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e2 (6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/strong\u003eSick leave\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e7 (23)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e2 (6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003eActive\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e13 (44)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e17 (57)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003eStudent\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e2 (7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e5 (17)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003eNo answer\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e1 (3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e4 (13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eIPAQ (Mets)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.693121693121693%\" valign=\"top\"\u003e\n \u003cp\u003e1554.4\u0026plusmn;2472.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.746031746031747%\" valign=\"top\"\u003e\n \u003cp\u003e3848.4\u0026plusmn;4183.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.280423280423282%\" valign=\"top\"\u003e\n \u003cp\u003ep=.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eValues are presented as mean \u0026plusmn; SD or number (%); CM: Chronic Migraine; BMI: Body Mass Index; IPAQ: physical activity questionnaire.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2.\u003c/strong\u003e Comparative analysis between the CM group and the asymptomatic group.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"574\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMeasures\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCM group\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=30)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.156794425087108%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAsymptomatic\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003egroup\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=30)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDifference of Means (95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003et\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e-student; p-value; Effect size (\u003cem\u003ed\u003c/em\u003e)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCovariate: Physical activity\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eF; p-value; Eta Squared (\u0026eta;\u003c/strong\u003e\u003cstrong\u003ep2)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eROM\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.37630662020906%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.118466898954704%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003eCervical flexion-extension (\u0026ordm;)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e99.36\u0026plusmn;15.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.763066202090592%\" valign=\"top\"\u003e\n \u003cp\u003e107.33\u0026plusmn;11.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.73170731707317%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e-7.96\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(-15.14 to -.78)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003et\u003c/em\u003e=-2.22; p=.030; \u003cem\u003ed\u003c/em\u003e=-.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.550522648083625%\" valign=\"top\"\u003e\n \u003cp\u003eF=2.94; p=.091; \u0026eta;p2=.05\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"2.7874564459930316%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003eCervical rotation (\u0026ordm;)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e113.22\u0026plusmn;22.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.37630662020906%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e129.1\u0026plusmn;20.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.118466898954704%\" valign=\"top\"\u003e\n \u003cp\u003e-15.3\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(-26.47 to -4.12)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003et\u003c/em\u003e=-2.74; p=.008; \u003cem\u003ed\u003c/em\u003e=-.71\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eF=.11; p=.739; \u0026eta;p2=.002\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003eCervical lateral flexion (\u0026ordm;)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e71.43\u0026plusmn;18.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.37630662020906%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e83.16\u0026plusmn;10.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.118466898954704%\" valign=\"top\"\u003e\n \u003cp\u003e-11.73\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(-19.61 to -3.85)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003et\u003c/em\u003e=-2.98; p=.004; \u003cem\u003ed\u003c/em\u003e=-.77\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eF=.63; p=.429; \u0026eta;p2=.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003eLumbar flexion (\u0026ordm;)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e36.04\u0026plusmn;8.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.37630662020906%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e46.36\u0026plusmn;5.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.118466898954704%\" valign=\"top\"\u003e\n \u003cp\u003e-10.32\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(-14.03 to -6.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003et\u003c/em\u003e=-5.60; p\u0026lt;.001; \u003cem\u003ed\u003c/em\u003e=-1.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eF=1.64; p=.205; \u0026eta;p2=.03\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMuscular endurance\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.37630662020906%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.118466898954704%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003eCervical endurance (sec.)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e22.53\u0026plusmn;7.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.37630662020906%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e36.3\u0026plusmn;7.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.118466898954704%\" valign=\"top\"\u003e\n \u003cp\u003e-13.76\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(-17.7 to -9.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003et\u003c/em\u003e= -7.01; p\u0026lt;.001; \u003cem\u003ed\u003c/em\u003e=1.81\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eF=.03; p=.864; \u0026eta;p2=.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003eLumbar endurance (sec.)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e57.81\u0026plusmn;27.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.37630662020906%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e155.58\u0026plusmn;59.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.118466898954704%\" valign=\"top\"\u003e\n \u003cp\u003e-97.77\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(-121.76 to -73.78)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003et\u003c/em\u003e=-8.15; p\u0026lt;.001; \u003cem\u003ed\u003c/em\u003e=-2.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eF=.28; p=.596; \u0026eta;p2=.005\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMuscular strength\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.37630662020906%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.118466898954704%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003eCervical extension (Kgf)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e21.16\u0026plusmn;5.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.37630662020906%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e25.1\u0026plusmn;6.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.118466898954704%\" valign=\"top\"\u003e\n \u003cp\u003e-3.93\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(-7.01 to -.85)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003et\u003c/em\u003e= -2.55; p=.013; \u003cem\u003ed\u003c/em\u003e=-.66\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eF=8.05; p=.006; \u0026eta;p2=.12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003eCervical flexion (Kgf)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e12.56\u0026plusmn;4.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.37630662020906%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e16\u0026plusmn;4.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.118466898954704%\" valign=\"top\"\u003e\n \u003cp\u003e-3.43\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(-5.73 to -1.13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003et\u003c/em\u003e= -2.98; p=.004; \u003cem\u003ed\u003c/em\u003e=-.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eF=9.00; p=.004; \u0026eta;p2=.14\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003eHandgrip\u0026nbsp;(Kgf)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e33.88\u0026plusmn;6.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.37630662020906%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e40.14\u0026plusmn;5.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.118466898954704%\" valign=\"top\"\u003e\n \u003cp\u003e-6.25\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(-9.53 to -2.98)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003et\u003c/em\u003e= -3.82; p\u0026lt;.001; \u003cem\u003ed\u003c/em\u003e=-.98\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eF=7.29; p=.009; \u0026eta;p2=.113\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003eLumbar Extension (Kgf)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e43.78\u0026plusmn;13.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.37630662020906%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e75.71\u0026plusmn;19.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.118466898954704%\" valign=\"top\"\u003e\n \u003cp\u003e-31.92\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(-40.55 to -23.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003et\u003c/em\u003e=-7.42; p\u0026lt;.001; \u003cem\u003ed\u003c/em\u003e=-1.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eF=.98; p=.362; \u0026eta;p2=.02\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eKinesiophobia\u0026nbsp;\u003c/strong\u003e(TSK-11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e27.63\u0026plusmn;7.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.37630662020906%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e21.7\u0026plusmn;5.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.118466898954704%\" valign=\"top\"\u003e\n \u003cp\u003e5.93\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(2.65 to 9.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003et\u003c/em\u003e= 3.61; p\u0026lt;.001; \u003cem\u003ed\u003c/em\u003e=.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eF=.03; p=.859; \u0026eta;p2=.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003eHarm_subscale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e10.36\u0026plusmn;3.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.37630662020906%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e8.66\u0026plusmn;2.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.118466898954704%\" valign=\"top\"\u003e\n \u003cp\u003e1.7\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(.16 to 3.23)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003et\u003c/em\u003e=2.22; p=.030; \u003cem\u003ed\u003c/em\u003e=.57\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eF=0.004; p\u0026lt;.952; \u0026eta;p2=.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.337979094076655%\" valign=\"top\"\u003e\n \u003cp\u003eActivity Avoidance_subscale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.020905923344948%\" valign=\"top\"\u003e\n \u003cp\u003e17\u0026plusmn;4.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.37630662020906%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e13.33\u0026plusmn;3.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.118466898954704%\" valign=\"top\"\u003e\n \u003cp\u003e3.66\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(1.48 to 5.85)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.80836236933798%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003et\u003c/em\u003e= 3.35; p=.001; \u003cem\u003ed\u003c/em\u003e=.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.337979094076655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eF=.03; p\u0026lt;.867; \u0026eta;p2=.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eValues are presented as mean \u0026plusmn; standard deviation. CI: coefficient interval;\u003csup\u003e\u0026nbsp;\u003c/sup\u003eCM: Chronic Migraine; ROM; Range of motion; TSK: Tampa Scale of Kinesiophobia.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3.\u003c/strong\u003e Pearson correlation coefficients in CM group.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"60%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eN=60\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"40%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHeadache-related disability \u0026nbsp; 56.4\u003c/strong\u003e\u003cstrong\u003e\u0026plusmn;7\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMeasures\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMean\u003c/strong\u003e\u003cstrong\u003e\u0026plusmn;SD\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003er\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003eHeadache frequency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e20.2\u0026plusmn;3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.51\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003ePain intensity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e5.5\u0026plusmn;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.41\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003eHarm_subscale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e10.6\u0026plusmn;3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.31\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.016\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003eActivity Avoidance_subscale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e17.2\u0026plusmn;5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.026\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003ePain behaviour_avoidance behaviors subscale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e4.1\u0026plusmn;2.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.50\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003ePain behaviour_Rest subscale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e3.8\u0026plusmn;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.40\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003ePain behaviour_passive non-verbal complaint subscale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e2.6\u0026plusmn;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e-.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.927\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003ePain behaviour_active non-verbal complaint subscale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e3.1\u0026plusmn;1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.586\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003ePain behaviour_medication subscale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e1.5\u0026plusmn;.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.070\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003ePain behaviour_verbal complaint_subscale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e2.3\u0026plusmn;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.31\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.014\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003eCROM_FE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e97.8\u0026plusmn;13.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e-.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.132\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003eCROM_ROT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e111.8\u0026plusmn;20.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e-.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.217\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003eCROM_LF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e70.1\u0026plusmn;17.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.410\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003eLROM_F\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e37.3\u0026plusmn;7.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e-.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.067\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003eC_Endurance\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e21.4\u0026plusmn;7.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e-.31\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.016\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003eL_Endurance\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e60.3\u0026plusmn;26.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e-.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.195\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003eCE_Strength\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e20.5\u0026plusmn;5.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e-0,23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.070\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003eCF_Strength\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e12.5\u0026plusmn;4.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e-.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.173\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003eHandgrip strength\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e33.9\u0026plusmn;7.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e-.32\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.012\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003eLE_strength\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e44.4\u0026plusmn;14.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e-.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.030\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48940269749518%\" valign=\"top\"\u003e\n \u003cp\u003eIPAQ\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.433526011560694%\" valign=\"top\"\u003e\n \u003cp\u003e1634.8 \u0026plusmn; 1278.2\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.038535645472063%\" valign=\"top\"\u003e\n \u003cp\u003e.238\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eValues are presented as mean \u0026plusmn; SD; CROM_FE: Cervical Range of motion_flexoextension; CROM_ROT: Cervical range of motion rotation; CROM_LF: Cervical range of motion lateral flexion; LROM_F: Lumbar range of motion flexion; C_Endurance: Cervical Endurance; L_Endurance: Lumbar Endurance; CE: cervical extension; CF: cervical Flexion; LE: lumbar extension; IPAQ: physical activity questionnaire.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.\u003c/strong\u003e Regression model for Headache-related disability in Chronic migraine group (n=65).\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"690\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariable Criteria: Headache-related disability\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eOverall model\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003eR\u003csup\u003e2\u003c/sup\u003e=.44; Adjusted R\u003csup\u003e2\u003c/sup\u003e=.41; F=14.695; p\u0026lt;.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.46376811594203%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePredictor variables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.82608695652174%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eRegression coefficient (B)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.52173913043478%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandardized coefficient (\u0026beta;)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.565217391304348%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623188405797102%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVIF\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.46376811594203%\" valign=\"top\"\u003e\n \u003cp\u003eHeadache frequency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.82608695652174%\" valign=\"top\"\u003e\n \u003cp\u003e.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.52173913043478%\" valign=\"top\"\u003e\n \u003cp\u003e.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.565217391304348%\" valign=\"top\"\u003e\n \u003cp\u003e.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623188405797102%\" valign=\"top\"\u003e\n \u003cp\u003e1.12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.46376811594203%\" valign=\"top\"\u003e\n \u003cp\u003ePain behaviour_Avoidance behaviors subscale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.82608695652174%\" valign=\"top\"\u003e\n \u003cp\u003e.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.52173913043478%\" valign=\"top\"\u003e\n \u003cp\u003e.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.565217391304348%\" valign=\"top\"\u003e\n \u003cp\u003e.012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623188405797102%\" valign=\"top\"\u003e\n \u003cp\u003e1.26\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.46376811594203%\" valign=\"top\"\u003e\n \u003cp\u003ePain behaviour\u0026nbsp;_Rest_subscale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.82608695652174%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.52173913043478%\" valign=\"top\"\u003e\n \u003cp\u003e.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.565217391304348%\" valign=\"top\"\u003e\n \u003cp\u003e.029\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623188405797102%\" valign=\"top\"\u003e\n \u003cp\u003e1.15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.46376811594203%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eExcluded variables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.82608695652174%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.52173913043478%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.565217391304348%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623188405797102%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.46376811594203%\" valign=\"top\"\u003e\n \u003cp\u003ePain intensity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.82608695652174%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.52173913043478%\" valign=\"top\"\u003e\n \u003cp\u003e.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.565217391304348%\" valign=\"top\"\u003e\n \u003cp\u003e.256\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623188405797102%\" valign=\"top\"\u003e\n \u003cp\u003e1.30\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.46376811594203%\" valign=\"top\"\u003e\n \u003cp\u003eHarm subscale (TSK-11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.82608695652174%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.52173913043478%\" valign=\"top\"\u003e\n \u003cp\u003e.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.565217391304348%\" valign=\"top\"\u003e\n \u003cp\u003e.612\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623188405797102%\" valign=\"top\"\u003e\n \u003cp\u003e1.19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.46376811594203%\" valign=\"top\"\u003e\n \u003cp\u003ePain behaviour _ verbal complaint_subscale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.82608695652174%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.52173913043478%\" valign=\"top\"\u003e\n \u003cp\u003e.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.565217391304348%\" valign=\"top\"\u003e\n \u003cp\u003e.654\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623188405797102%\" valign=\"top\"\u003e\n \u003cp\u003e1.29\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.46376811594203%\" valign=\"top\"\u003e\n \u003cp\u003eC_Endurance\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.82608695652174%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.52173913043478%\" valign=\"top\"\u003e\n \u003cp\u003e.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.565217391304348%\" valign=\"top\"\u003e\n \u003cp\u003e.574\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623188405797102%\" valign=\"top\"\u003e\n \u003cp\u003e1.25\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.46376811594203%\" valign=\"top\"\u003e\n \u003cp\u003eHandgrip strength\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.82608695652174%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.52173913043478%\" valign=\"top\"\u003e\n \u003cp\u003e.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.565217391304348%\" valign=\"top\"\u003e\n \u003cp\u003e.093\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623188405797102%\" valign=\"top\"\u003e\n \u003cp\u003e1.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eVIF, Variance Inflation Factor; TSK: Tampa scale of kinesiophobia; C. Endurance: Cervical Endurance\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Chronic migraine, Cervical region, Physical activity, Physical function, migraine related disability.","lastPublishedDoi":"10.21203/rs.3.rs-4184239/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4184239/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003ePrevious research has focused on the possibility of cervical dysfunction in migraine patients, similar to what is observed in patients with tension-type headaches. However, there is no evidence concerning the physical function of other body regions, even though lower levels of physical activity have been reported among migraine patients. The aim of this study was to compare cervical and extra-cervical range of motion, muscular strength, and endurance, as well as overall levels of physical activity, between patients with chronic migraine (CM) and asymptomatic participants. The secondary objective included the analysis of associations between CM-related disability and various physical and psychological variables. A total of \u0026nbsp;90 participants were included in this cross-sectional study: 30 asymptomatic participants (AG) and 60 patients with CM. Cervical and lumbar range of motion, strength and endurance, as well as handgrip strength were measured. Headache-related disability, kinesiophobia, pain behaviors, physical activity level and headache frequency were assessed through a self-report.\u003cstrong\u003e \u003c/strong\u003eLower values were found in CM vs AG for cervical and lumbar ranges of motion (p\u0026lt;0.05; effect sizes ranging from 0.57 to 1.44). Also, for neck extension strength (p=.013; \u003cem\u003ed\u003c/em\u003e=-.66), lumbar strength (p\u0026lt;.001; \u003cem\u003ed\u003c/em\u003e=-1.91) and handgrip strength (p\u0026lt;.001; \u003cem\u003ed\u003c/em\u003e=-.98), neck endurance (p\u0026lt;.001; \u003cem\u003ed\u003c/em\u003e=-1.81) and lumbar endurance (p\u0026lt;.001; \u003cem\u003ed\u003c/em\u003e=-2.11). Significant differences were found for physical activity levels and kinesiophobia between CM and AG. The headache-related disability predictors were headache frequency, activity avoidance and rest, which explained 41% of the variance.\u003cstrong\u003e \u003c/strong\u003eThe main findings of this study suggest that patients with CM have a generalized fitness deficit and not specifically cervical dysfunction. These findings support the hypothesis that migraine patients have not only neck-related issues but also general lower body conditions.\u003c/p\u003e","manuscriptTitle":"Beyond Neck Physical Function: Evidence of General Functional Impairment in Migraine Patients","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-04-12 17:54:06","doi":"10.21203/rs.3.rs-4184239/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-07-31T06:50:13+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-07-23T07:31:33+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-07-16T11:06:45+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"29300142009219773264475092982341822802","date":"2024-07-01T09:26:04+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"324479273373660739612674479030594274152","date":"2024-07-01T08:59:31+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-07-01T07:18:05+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-06-18T04:40:51+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2024-04-09T16:24:56+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-04-09T16:21:03+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2024-03-28T19:42:57+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"6a3f74e0-5fed-4fae-968c-20d5da31ab0c","owner":[],"postedDate":"April 12th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":30474258,"name":"Health sciences/Neurology/Neurological disorders"},{"id":30474259,"name":"Biological sciences/Neuroscience/Somatosensory system/Pain"}],"tags":[],"updatedAt":"2024-12-30T15:58:02+00:00","versionOfRecord":{"articleIdentity":"rs-4184239","link":"https://doi.org/10.1038/s41598-024-81841-w","journal":{"identity":"scientific-reports","isVorOnly":false,"title":"Scientific Reports"},"publishedOn":"2024-12-28 15:56:50","publishedOnDateReadable":"December 28th, 2024"},"versionCreatedAt":"2024-04-12 17:54:06","video":"","vorDoi":"10.1038/s41598-024-81841-w","vorDoiUrl":"https://doi.org/10.1038/s41598-024-81841-w","workflowStages":[]},"version":"v1","identity":"rs-4184239","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4184239","identity":"rs-4184239","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}