Prevalence and Risk Factors of Low Back Pain in Middle-aged and Elderly People with Sarcopenia: a Nationwide Cross-sectional Study

Prevalence and Risk Factors of Low Back Pain in Middle-aged and Elderly People with Sarcopenia: a Nationwide Cross-sectional Study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Prevalence and Risk Factors of Low Back Pain in Middle-aged and Elderly People with Sarcopenia: a Nationwide Cross-sectional Study Wen-Yuan Xing, Le Tang, Ya-Nan Zheng, Yi-Wen Bai, Xue Jiang, Xia Bi, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4134269/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 24 Apr, 2025 Read the published version in BMC Public Health → Version 1 posted 11 You are reading this latest preprint version Abstract Objectives This study aimed to clarify the prevalence and associated factors of lower back pain (LBP) in sarcopenia population aged 45 years or older by using a large and diverse cross-sectional dataset. Methods In this national study, data on 8113 participants from CHARLS 2015 were analyzed. The prevalence of LBP was investigated, and multivariable logistic regression analyses were performed to identify factors associated with LBP in sarcopenia population. Findings: The prevalence of LBP was 24.19% (95% CI 22.94–25.44) in sarcopenia population, significantly higher than that in non-sarcopenia (16.4%, 95% CI 15.19–17.61). The prevalence was higher in female (28.91%, 27.13–30.69) than in male (18.43%, 16.74–20.11; p < 0.001 for gender difference) and in people with more than four chronic comorbidities (44.83%, 40.87–48.79) than in those without chronic comorbidities (13.02%, 11.02–15.02; p < 0.001 for the number of chronic diseases difference). The risk factors for LBP in sarcopenia population included diagnosis of heart attack (odds ratio 1.40, 95% CI 1.11–1.77), kidney disease (1.80, 1.30–2.49), gastrointestinal disease (1.62, 1.35–1.94), arthritis or rheumatism (1.76, 1.48–2.10), sleep time of less than 5 h (2.06, 1.36–3.10), living in rural area (1.54, 1.20–1.96), illiteracy (1.64, 1.21–2.22), middle school and higher (1.70, 1.30–2.23), depression (3.16, 2.56–3.89), and so on. Conclusions LBP is highly prevalent in the Chinese sarcopenia population. Chronic diseases, sleep time, residence, educational level, depression, instrumental ADL disability, and history of fall are major risk factors of LBP for sarcopenia population. Epidemiology Low Back Pain Sarcopenia Figures Figure 1 Figure 2 INSTRUCTION In 2019, the European Working Group on Sarcopenia in Older People (EWGSOP) published a definition of sarcopenia as a progressive and generalized skeletal muscle disorder involving accelerated loss of muscle mass and function [ 1 ] . Meanwhile, the Asian Working Group for Sarcopenia (AWGS) retains its original definition for sarcopenia as age-related loss of skeletal muscle mass with loss of muscle strength and/or reduced physical performance. Sarcopenia is a geriatric condition that has been associated with increased adverse outcomes like falling, frailty, functional decline, and mortality [ 2 ] . The global prevalence of sarcopenia is estimated to range from 5% for EWGSOP2 to 22% for EWGSOP [ 3 ] . For older adult (60–94 years), the prevalence rates of possible sarcopenia, sarcopenia, and severe sarcopenia were 38.5%, 18.6%, and 8.0%, respectively [ 4 ] . Aside from commonly affecting the older adult, sarcopenia can onset in mid-life [ 1 ] , with a prevalence range of 8–36% [ 5 ] . Lower back pain (LBP) is a high-prevalent chronic disease in aged population [ 6 , 7 ] . One review including 165 studies of 54 countries estimated the point prevalence of LBP to be 11.9%, and to be most common in people aged 40–80 years [ 8 ] . A 2022 review suggested a positive correlation between sarcopenia and pain [ 6 ] . Another study further confirmed that older adults at risk for sarcopenia often suffer from chronic musculoskeletal pain [ 9 ] . However, relatively limited evidence is available concerning the prevalence and risk factors of LBP in sarcopenia population older than 45 years in China. The intervention research for LBP in sarcopenia population needs an accurate estimate of its prevalence. The popular intervention for LBP is prevention that is based around limiting exposure to risk factors [ 8 ] . Thus, early identification of prevalence and high-risk groups is important. This study aimed to estimate the prevalence of LBP in people with sarcopenia aged 45 years or older by using the China Health and Retirement Longitudinal Study (CHARLS) and assess the related risk factors for this prevalence. METHOD Study Participants This cross-sectional study is based on data from CHARLS, which is an ongoing nationally representative public survey among residents in China from 2008 to 2018. The CHARLS research team collects high-quality data, including sociodemographic characteristics, lifestyle, and health-related factors, through a structured questionnaire by one-to-one interviews. By multistage stratified probability-proportionate-to-size sampling, the CHARLS research team surveyed more than 17,000 participants in about 10,000 households from 450 villages and 150 districts or counties within 28 provinces in China. The data included individual weighting variables to ensure that the survey sample was nationally representative. Detailed information about the study design of CHARLS has been previously reported [ 10 ] . CHARLS has released five-wave data of survey in 2011 (wave 1), 2013 (wave 2), 2015 (wave 3), 2018 (wave 4), and 2020 (wave 5). The datasets can be downloaded at http://charls.pku.edu.cn/en . In this study, data from CHARLS 2015 were analyzed. The sample size was 21,095. The exclusion criteria were as follows: 1) no information on gender, age, and physical examination to estimate sarcopenia status (n = 5321); 2) no information on pain (n = 233); 3) persons aged less than 45 years in CHARLS 2015 (n = 681); 4) abnormal value (n = 38); and 5) lack of information regarding instrumental activities of daily living (ADL), sleep time, drinking, residence, history of fall, physical disabilities, educational level, insurance, and working status and weighted and health-relevant information (n = 6709). This cross-sectional analysis included 8113 participants. Among them, 4255 participants with sarcopenia were identified. The full process of selection of participants is depicted in Fig. 1 . Assessment of Sarcopenia Status Sarcopenia was assessed on the basis of the AWGS 2019 criteria, which are composed of three components: appendicular skeletal muscle mass (ASM), muscle strength, and physical performance [ 11 ] . ASM was estimated using the following validated anthropometric equation in Chinese residents, which showed a strong consistency with X-ray absorptiometry [ 12 ] : ASM = 0.193 × weight (kg) + 0.107 × height (cm) – 4.157 × gender − 0.037 × age (years) – 2.631. The cut-off for defining low muscle mass was based on the sex-specific lowest 20% of the height-adjusted muscle mass (ASM/Ht 2 ) among the study population, with < 5.386 kg/m 2 in female and < 7.069 kg/m 2 in male for this article. Muscle strength was indicated through handgrip strength (unit: kg). Subjects were tested two times for both hands by holding the dynamometer at a right angle (90°). The average of the maximum data was used. If the grip strength in either hand of the participant could not be measured due to health reasons, the value measured on the other hand was recorded. In accordance with AWGS 2019, the cut-off point for low handgrip strength was defined as less than 28 kg for men and less than 18 kg for women. Gait speed and five-time chair stand test (CST) were used for examine physical performance. For gait speed, each participant walked a 2.5 m distance at a normal pace two times (there and back), and the completed time was recorded to calculate the usual gait speed (m/s). The average of all the values was taken. Five-time CST measures the amount of time (unit: s) needed for participants to rise continuously five times keeping their arms folded across their chest from the height of a 47 cm chair. In accordance with the AWGS 2019 recommendations, the cut-off point for low physical performance was defined as gait speed < 1.0 m/s and 5-time CST ≥ 12 s. Those who tried but failed to perform CST were considered as having low physical performance for the purpose of analyses. The participants without any low muscle strength, low muscle mass, and low physical performance were classified as no-sarcopenia. Possible sarcopenia is defined as low muscle strength or low physical performance. Confirmed sarcopenia is defined as low skeletal muscle mass with low muscle strength or low physical performance. When low muscle strength, low muscle mass, and low physical performance are all detected, severe sarcopenia is considered. In this study population, only 192 (2.3%) participants had severe sarcopenia, and they were merged into the confirmed sarcopenia group. Therefore, all participants were divided into three groups: no-sarcopenia (n = 3591), possible sarcopenia (n = 3227), and confirmed sarcopenia (n = 1295). Identification of LBP The study outcome was LBP events. In the questionnaire, participants were asked “what part of your body do you feel pain” and instructed to list all parts of the body where they felt pain at present. The locations of the pain included the head, shoulders, arms, wrists, fingers, chest, stomach, back, waist, buttocks, leg, knees, ankle, toes, neck, and others. Participants were considered to have LBP if they chose the waist. Covariates According to prior knowledge, trained interviewers collected information on sociodemographic status and health-related factors by using a structured questionnaire. Sociodemographic variables included age, sex, height, weight, education (illiterate, primary school and less, or middle school and higher), marital status (married with spouse, divorced, or others), residence, work status (currently not working, never worked, or working), income (≤ 1000, 1000–5000, 5000–10,000, 10,000–20,000, or > 20,000 Chinese Yuan), insurance, and area (Central, East, North, South, Southwest, Northeast, or Northwest China). Health-related factors included body mass index (BMI), number of chronic diseases, 14 common comorbidities (hypertension, dyslipidemia, diabetes or high blood sugar, cancer, lung diseases, liver disease, heart attack, stroke, kidney disease, gastrointestinal disease, psychiatric problem, memory-related disease, arthritis or rheumatism, and asthma), physical disabilities, multisite pain (back, waist, and buttocks), treatment for pain (yes or no), sleeping time (extremely short sleep, ≤ 5 h; normal sleep, 6–9 h; or excessive sleep, ≥ 10 h) [ 9 ] , smoking and drinking status (yes or no), handgrip, walking speed, stand-up test, waist circumference, ASM/H 2 , health status, depression (10-item Center for Epidemiologic Studies Depression Scale), ADL, instrumental ADL (IADL), history of fall, physical activity, social activity, child health condition, health satisfaction, life satisfaction, healthcare satisfaction, C-reactive protein (mg/l), and hemoglobin (g/dl). For sociodemographic variables, age was divided into three groups at every 10 years: 45–55, 55–65, and older than 65 years. In accordance with the National Bureau of Statistics, the area type of their residence was categorized as urban or rural. An urban area is located in the main city zone, combination zone between urban and rural areas, and town center. Rural areas included the ZhenXiang area, special area, township central, and village. Income was calculated by adding the value of sold produced products, self-employed business income, received pension, and other compensation. Social activities were coded as “yes” or “no” by asking respondents whether they were involved in certain activities, such as surfing the Internet and engaging in community-related organizations. Physical activities were coded as “yes” or “no” by asking about the amount of time participants spent on physical activities in a usual week. ADL involved clothing, showering, taking meals, toileting, going to and from bed, and bowel and bladder function. IADL involved housekeeping, preparing meals, shopping, using the phone, administering medication, and finances. In this sample, ADL or IADL disability was counted as reported difficulty with any item. For health-related factors, subjects were diagnosed as chronic diseases and body pain by a doctor and then reported through questionnaire. BMI was divided into three groups: underweight (< 18.5 kg/ m 2 ), normal weight (18.5–24 kg/m 2 ), and overweight or obesity (≥ 24 kg/m 2 ) [ 4 ] . Information on fall, fracture, smoking, drinking, physical activity, social activity, insurance, and physical disabilities were based on self-reports. Each subject used a scale of 1–5 to report their child health condition, life satisfaction, and satisfaction with healthcare situation, with 1 and 5 denoting excellent and very poor, respectively. The current overall health state ratings were then re-stratified into three groups (good, fair, and poor). The detection method of CRP was immunoturbidimetric assay. Hemoglobin was measured at local county health centers. Statistical Analysis Calculations of prevalence and risk factors were weighted to represent the general adult population aged 45 years or older in China, with non-response adjustment. Weights were calculated using data from the China Center for Economic Research Institute of Social Science Survey Peking University. The cross-sectional biomarker weight was calculated on the basis of individual cross-sectional weights and a logit regression of whether the individual responses in the biomarker, the biomarker level inverse probability weight factor is calculated by the inverse of predicted probability for each individual (cap at the 99th percentile) [ 13 ] . However, considering that the weighted prevalence had no confidence interval (CI), the results were included in the annex, and the crude prevalence was mainly analyzed in this paper. Data were analyzed using R software version 4.3.1 and STATA 16.0 software. Demographic data were analyzed using descriptive statistics, which were presented as frequencies (n) and proportions (%) for categorical variables and mean and standard deviation for continuous variables. The P value for all variables was used to compare the differences between groups. One-way ANOVA was used for continuous variables, and Pearson’s chi-squared test was used for categorical variables. The odds ratios (ORs) and 95% CIs for LBP risk factors were estimated using univariate analysis (cut-off of p < 0.2) [ 14 ] and multivariate logistic regression analysis to investigate the risk factors for LBP in the possible sarcopenia and sarcopenia groups separately. P for trend is mainly used to test linear change trends. An adjusted p -value of < 0.05 was deemed statistically significant. RESULT Participants’ demographic Characteristics Table 1 presents the baseline characteristics of the study population in 2015. Among the 8113 participants, the majority were female (4385, 46.0%), more than 65 years old (2805, 34.6%; median 61.3 ± 8.9), and living in rural areas (6252, 77.1%). On the basis of the AWGS criteria, 3227 (39.8%) and 1295 (16%) participants were diagnosed as possible sarcopenia and confirmed sarcopenia, respectively. The subjects with confirmed sarcopenia were older than those without sarcopenia (69.4 vs. 55.3 years). They were not married (21.5%), and they were living in rural setting (86.4%). They also had poorer physical performance (mean, 23.7 vs. 33.4 kg in hand grip, 0.8 vs 5.8 s in walking speed, and 10.4 vs. 7.8 s in stand-up test), more chronic diseases (12.0%), higher C-reactive protein (3.1 vs. 2.3 mg/l), and lower hemoglobin (12.7 vs. 13.7 g/dl, all p < 0.001) than those with sarcopenia. The prevalence of LBP was significantly higher than that of other physical pain. Statistical differences among non-sarcopenia, possible sarcopenia, and confirmed sarcopenia groups were found ( p < 0.05) in all covariates except sex, cancer, liver disease, treatment for pain, and life satisfaction. Prevalence of LBP The overall prevalence of LBP was 24.2% (n = 1094, 95% CI [22.9–25.4]) among the population aged 45 years or older, 23.5% (757, [22.0–24.9]) in the possible sarcopenia population, and 26.0% (337, [23.6-28.4]) in the confirmed sarcopenia population ( Table 1 , Figure S1 ). In the sarcopenia population, women had a higher prevalence than men (28.9%, 95% CI [27.1–30.7] vs. 18.4 [16.7–20.1]; p < 0.001; Table 2 ). The prevalence of LBP increased steadily with the number of chronic diseases from 13.0% (95% CI 11.0–15.0) at no chronic disease to 44.8% (40.9-48.8) at ≥4 chronic diseases ( p < 0.001). The prevalence among people with hypertension, lung diseases, liver disease, heart attack, kidney disease, gastrointestinal disease, psychiatric problem, and arthritis or rheumatism was noted compared with no such diseases (all p < 0.001 for the chronic comorbidity difference). The prevalence of LBP in the sarcopenia group with depression was as high as 53.9%, with 53.7% in the possible sarcopenia group and 54.2% in the confirmed sarcopenia group ( p < 0.001). In terms of educational level, LBP was most prevalent in illiterate population (29.3% [27.0–31.6], p < 0.001). Individuals with a history of fall were more likely to have LBP than those without fall history (38.3% [35.2–41.5] vs. 20.6 [19.3–21.9], p < 0.001), and people with poor health in childhood had a higher prevalence of LBP. Moreover, the prevalence presented a significant decrease with increases in sleeping time, ranging from 34.8% (32.3–37.2) for ≤5 h to 16.9% (12.2-21.5) for ≥ 10 h ( p < 0.001). Some different patterns were noted in the prevalence between possible sarcopenia and confirmed sarcopenia populations. For chronic diseases, the highest prevalence of LBP for confirmed and possible sarcopenia were found in people with stroke and kidney disease, respectively. In terms of working status, the prevalence of LBP in working people with confirmed sarcopenia was higher than that in others. In the possible sarcopenia population, those who were currently unemployed had a higher prevalence. In the subgroup analysis ( Table S5 ), although higher prevalence and percentage distribution were found in female population, some different patterns of prevalence were observed both genders. In probable sarcopenia, LBP was more common in women with memory-related disease (66.7% [47.7–85.8]), who are unmarried (29.4% [24.4–34.4]), illiterate (31.1% [27.9–34.4]), with insurance (29.2% [27.0–31.5]), currently unemployed (14.19% [26.5–33.4]), and living in Southwest China (33.0% [27.2–38.7]) and in men with psychiatric problems (33.3% [6.3-60.4]), married (17.4% [15.4–19.6]), with middle school and higher educational level (21.7% [18.8-24.7]), without insurance (22.7% [14.8–30.7]), working (18.8% [16.4–21.2]), and living in Northwest China (24.2% [16.6–31.8]). For sarcopenia, the prevalence was common among women with psychiatric problems (57.1% [27.5–86.8]), who are unmarried (37.8% [31.0–44.5]), had higher educational level (30.8% [25.2–36.4]), and living in Southwest China (40.3% [32.6–48.0]). For men, the prevalence was higher among those with stroke (55.7% [15.0–96.1]), who are married (21.2% [17.6–24.7]), with low educational level (27.3% [18.8–35.7]), and living in Northwest China (37.2% [22.2–52.3]). Differences in prevalence were also shown in the subgroup analysis of residence and number of chronic diseases ( Table S6, Table S7 ). After weighing and adjusting the data, the weighted prevalence of LBP still showed the same trend, with crude prevalence ( Figure S1, Table S1 ). The weighted prevalence by gender, residence, and chronic disease are listed in the Appendix ( Table S2, Table S3, TableS4 ). Related Risk Factors of LBP Multivariable logistic regression showed that in the population with sarcopenia, LBP was significantly associated with diagnosed heart attack (OR 1.4, 95% CI [1.1-1.8], p = 0.005), kidney disease (1.8, [1.3–2.5], p < 0.001), gastrointestinal disease (1.6 [1.4-1.9]; p < 0.001), arthritis or rheumatism (1.8 [1.5–2.1], p < 0.001), sleeping time of less than 5 h (2.1 [1.4–3.1], p = 0.001), rural residence (1.5 [1.2–2.0], p = 0.001), lower or higher educational level (illiterate: 1.6 [1.2–2.2], p = 0.001; middle school and higher: 1.7 [1.3–2.2], p < 0.001), depression (3.2 [2.7–3.9], p < 0.001), IADL disability (1.7 [1.4–2.1], p < 0.001), and history of fall (1.6 [1.4–2.0], p < 0.001, Figure 2, Table S8 ). For the possible sarcopenia population, LBP was associated with sleeping time of 6–9 h (1.75 [1.1–2.9], p = 0.03) and child health condition (0.6 [0.4–0.9], p = 0.004). Moreover, for the population with confirmed sarcopenia, LBP was associated with ADL disability (1.9 [1.0–3.4], p = 0.036, Table 3 ). The results of univariate analyses and multivariate logistic regression for the subgroups of the sarcopenia population by gender, residence, and chronic disease are listed in the Appendix ( Table S9, Table S10, Table S11, Table S12, Table S13, Table S14, Table S15, Figure S2, Figure S3, Figure S4 ). DISCUSSION Previous research mainly focused on the prevalence of sarcopenia among person with chronic diseases such as cancer, kidney dysfunction, and metabolic disorders [ 3 ] . In this cross-sectional study, the first comprehensive assessment was performed to address the prevalence of chronic pain (LBP) among possible and confirmed sarcopenia groups and explore the associated factors among older Chinese population by using the national survey data of CHARLS. The findings showed large disparities in the prevalence of LBP between the sarcopenia and general populations and indicated that LBP is more common in Chinese older adult diagnosed with sarcopenia (24.2%). Regardless of the type of sarcopenia, the prevalence was higher in women, those living in rural areas, and those with chronic diseases. After adjusting for factors, the prevalence of confirmed sarcopenia remained higher than that of possible sarcopenia. This review also identified a range of lifestyle and health-related factors associated with LBP prevalence, such as history of fall, comorbidities, IADL disability, sleeping time, educational level, and residence, for possible and confirmed sarcopenia populations. These factors were analyzed by sex, residence, and chronic disease. A previous study reported that the proportion of individuals with coexisting sarcopenia and pain (6.9%) who exhibited successful aging was lower than that of people with sarcopenia alone (8.5%) [ 15 ] . The higher prevalence and risk consequence in sarcopenia population may be explained by physiological mechanisms. As defined by AWGS 2019, low muscle mass and low muscle strength are significantly associated with sarcopenia diagnosis. Cellular changes in sarcopenic muscle include a reduction in the size and number of myofibers; a change in satellite cell content, which particularly affects type II fibers; and intramuscular and intermuscular fat infiltration (myosteatosis) [ 1 ] . Neurological signaling and control mechanisms have an important role in the change of muscle function [ 16 ] . Muscles, fascia, and ligaments in the lower back can be pain generators. Dysfunction of deep intrinsic (e.g., multifidus or rotators) and erector spinal muscles could potentially affect spinal mechanics and contribute to LBP [ 8 ] . Chronic LBP could be associated with atrophy and increased myoelectric activity. Macroscopically, muscle degeneration in LBP is characterized by a decrease in cross-sectional area and an increase in fat infiltration in the lumbar paraspinal muscles, which were considered as a sign of atrophy, especially in multifidus and paraspinal muscles [ 17 ] . Besides, molecular changes in sarcopenic muscle involve alterations to the complex signaling pathway that includes insulin-like growth factor, endocrine factors induced by muscle contraction, inflammatory cytokine, chronic low-grade inflammation induced by oxidative stress, anabolic hormones, and transcription factors, and other interlinked pathways [ 1 , 16 , 18 ] . This phenomenon may be related to LBP caused by specific pathological inflammatory factors [ 7 ] . Muscle pathology represents an underappreciated source of LBP [ 8 ] . Some mechanisms that may be involved in the development of LBP in sarcopenia population are unclear, thus needing further exploration. This study showed that the LBP prevalence varied across the four major regions in China, with the highest prevalence of 29.2% in the Northwest areas such as Xinjiang, Qinghai, and Gansu. However, two relatively large-sample studies in 2016 showed that the highest age-standardized point prevalence of LBP was in North China (Beijing) at 6.2% [ 19 ] . The present study found that the prevalence of LBP in rural areas (26.02%) was significantly higher than that in urban areas (17.54%, p < 0.001). However, previous data for globally population showed no difference in the prevalence of LBP between the two areas [ 7 ] . Although comparing the results from these different studies is difficult because of the various measurement methods, diagnostic criteria, and study populations, differences in the prevalence of LBP between the general and sarcopenia populations can still be found. A previous study reported that age between 40 and 80 years contributes the most to the prevalence of LBP [ 20 ] and the prevalence increases with age [ 8 ] . Notably, in the present study, detecting the age-related mechanisms with LBP in sarcopenia was difficult. The prevalence was highest among 45–55 years of age, and it showed the characteristics of first decreasing and then increasing with the increase in age. First, the social expectations from them to continue working at 45–55 years of age could lead to the increased burden of LBP [ 21 ] . Second, the morbidity and mortality rates of sarcopenia increase with age, so the survival rate of person with LBP in the older population is an important factor affecting the morbidity results. However, considering that no weighted database on the demographics of sarcopenia in China is available, more research in this area is needed in the future. Sex-specific analysis found that the prevalence in females was higher than in males in this study, similar to the results of other previously published studies, which showed age-standardized point prevalence to be most common from middle aged to older women [ 8 ] . The results showed 10 risk factors for LBP in sarcopenia, only one of which is unmodifiable, i.e., history of fall, which is similar to other previously published studies [ 22 ] . Falling is accompanied by poor physical performance and musculoskeletal injury. Nine risk factors that are modifiable were found, including having comorbidities and depression, ADL and IADL disability, less sleeping time, low educational level, and living in rural areas. With respect to middle-aged and older adults, a study has suggested that multimorbidity, such as rheumatoid arthritis and osteoporosis, is correlated with the presence of sarcopenia [ 23 ] . In the present study, chronic diseases, such as kidney disease, gastrointestinal disease, and arthritis or rheumatism, demonstrated an increased association with LBP. These comorbidities were closely related to changes in abdominal pressure and the release of joint inflammatory factors, which may increase the risk of LBP. At a psychological level, numerous studies have found that sarcopenia increases the risk of depression [ 24 ] , which is also significantly associated with the occurrence of LBP in people with sarcopenia. LBP may result from depression-mediated susceptibility to dysphoric physical and psychological symptoms, which are related features of a vulnerability to heightened response to physical and/or psychological stressors [ 25 ] . The present research found that sleep is an important risk factor. People who slept less than 5 h had almost two times the prevalence of LBP as those with 10 h of sleeping times in the possible sarcopenia group. Previous research has reported a significant association between short duration of sleep and high sarcopenia prevalence in older adults [ 26 ] . Longer sleep may provide more spinal support and muscle relaxation for people with sarcopenia, and the prevalence of LBP may have resulted from overuse and frailty in sarcopenia. Similar to previous studies [ 27 ] , the present study found that rural region had a higher prevalence rate of possible sarcopenia than urban region. This finding may be explained by the fact that the socioeconomic development in urban region may contribute to better public health with more timely and comprehensive intervention care. However, many rural older adult may suffer from heavy physical labor due to lower educational level, which, in turn, may increase the risk of injury. Besides, higher academic qualification is considered an independent risk factor for possible sarcopenia due to sedentary and unhealthy lifestyles. A protective factor of fair child health condition was found to be related to possible sarcopenia, may be due to increased concern and protection of health since childhood, indicating that earlier intervention makes their health in old age more secure. Comparison of the risk factors of LBP in confirmed sarcopenia and possible sarcopenia groups showed that LBP is mainly related to diseases and lifestyle, respectively. Controlling the above modifiable risk factors could allow for enhanced control of LBP in sarcopenia. This study has some strength and important implications for public health and health policies. First, this survey used a large sample size and a nationally representative database (CHARLS) under stringent quality control to investigate the prevalence and risk factors of LBP in Chinese older adult with sarcopenia. Second, the results were stratified by sex, residence, and number of comorbidities. These adjustments are important for the development of LBP prevention in sarcopenia population and control strategies across China. This research has some limitations. First, the study participants were limited to individuals who underwent health check-ups in CHARLS 2015. Therefore, the prevalence of LBP in this study may be underestimated in the older adults because of subject bias. Second, individuals with serious health disorders may have been less likely to participate in the CHARLS study, thus potentially limiting the generalizability of the findings. However, in view of the large sample size and diverse population characteristics, the effects on the generalizability of the findings could be minimal. Third, considering that that is a cross-sectional study, a causal relationship of the identified associated factors could not be established, and futures studies are needed to evaluate their predictive ability related to the outcomes. Forth, previous history of LBP was unknown, so all cases were determined as first occurrence after referencing the 2013 data. CONCLUSION This cross-sectional survey showed that LBP was higher in sarcopenia population than in the general population in China, especially females, rural residents, and those with chronic disease. For the possible sarcopenia and confirmed sarcopenia groups, the significantly related risk factor included kidney disease, gastrointestinal disease, arthritis or rheumatism, depression, IADL disability, and history of fall. Abbreviations CHARLS, the China Health and Retirement Longitudinal Study; SD, standard deviation; CI, confidence interval; OR, odds ratio; ASM, appendicular skeletal muscle; H, height; BMI, body mass index; ADL, activities of daily living; IADL, instrumental activity of daily living. Declarations Ethics approval and consent to participate The study was approved by the ethical review committee (IRB) of Peking University (China Health and Retirement Longitudinal Study [IRB00001052-11015]). Written informed consent was obtained from all study participants. Consent for publication Not applicable Availability of data and materials Data will be made available on request. The datasets can be downloaded at http://charls.pku.edu.cn/en. Please contact the corresponding author (Pro. Wang) for the data request. Competing interests The authors declare that they have no competing interests. Funding This work was supported by the National Natural Science Foundation of China (grant number 82372578). Authors’ c ontributions Conception, X.-Q.W.; interpretation of data and drafted the work, W.-Y.X. and L.T.; interpretation of data, W.-Y.X., L.T. and Y.-W.B.; writing—review and editing, X.J. and Y.-N.Z.; supervision, X.B and X.-Q.W. All authors have read and agreed to the published version of the manuscript. Acknowledgements This study is conducted under the China Health and Retirement Longitudinal Study (CHARLS) Resource. We want to express our sincere gratitude to all associated researchers of CHARLS. We thank all the participants and researchers involved in the publications cited in this manuscript and peer reviewers who contributed to the continuous improvement of this study. References Cruz-Jentoft AJ, Sayer AA, Sarcopenia. Lancet (London England). 2019;393(10191):2636–46. Cruz-Jentoft AJ, Bahat G, Bauer J, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019;48(1):16–31. Yuan S, Larsson SC. Epidemiology of sarcopenia: Prevalence, risk factors, and consequences. Metab Clin Exp. 2023;144:155533. Wu X, Li X, Xu M, Zhang Z, He L, Li Y. 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Tables Table 1 Baseline characteristics of participants by sarcopenia status in CHARLS 2015 Variables Overall N=8113 Non- Sarcopenia N= 3591 Possible Sarcopenia N= 3227 Confirmed Sarcopenia N= 1295 P-value Gender, Female 4385 (54.0) 1898 (52.9) 1777 (55.1) 710 (54.8) 0.155 Age (y) 61.3 (8.9) 55.277 (6.360) 64.810 (7.108) 69.414 (7.921) <0.001 Height (cm) 158.0 (8.5) 159.671 (8.076) 157.595 (8.152) 154.383 (8.939) <0.001 Weight (kg) 59.8 (11.4) 62.032 (11.063) 62.663 (9.680) 46.513 (5.560) <0.001 BMI (kg/ ㎡ ) 23.9 (3.8) 24.275 (3.603) 25.220 (3.378) 19.517 (1.727) <0.001 Chronic Diseases (number) <0.001 0 2442 (30.1) 1351 (37.6) 752 (23.3) 339 (26.2) 1 2264 (27.9) 1039 (28.9) 869 (26.9) 356 (27.5) 2 1663 (20.5) 641 (17.9) 721 (22.3) 301 (23.2) 3 890 (11.0) 315 (8.8) 431 (13.4) 144 (11.1) ≥4 854 (10.5) 245 (6.8) 454 (14.1) 155 (12.0) Hypertension, Yes 1977 (24.4) 651 (18.1) 1063 (32.9) 263 (20.3) <0.001 Dyslipidemia, Yes 854 (10.5) 329 (9.2) 456 (14.1) 69 (5.3) <0.001 Diabetes or High Blood Sugar, Yes 495 (6.1) 175 (4.9) 259 (8.0) 61 (4.7) <0.001 Cancer, Yes 88 (1.1) 36 (1.0) 33 (1.0) 19 (1.5) 0.349 Lung Diseases, Yes 911 (11.2) 304 (8.5) 391 (12.1) 216 (16.7) <0.001 Liver Disease, Yes 391 (4.8) 156 (4.3) 169 (5.2) 66 (5.1) 0.201 Heart Attack, Yes 1015 (12.5) 325 (9.1) 536 (16.6) 154 (11.9) <0.001 Stroke, Yes 150 (1.8) 37 (1.0) 84 (2.6) 29 (2.2) <0.001 Kidney Disease, Yes 587 (7.2) 212 (5.9) 273 (8.5) 102 (7.9) <0.001 Stomach, Yes 2163 (26.7) 889 (24.8) 850 (26.3) 424 (32.7) <0.001 Psychiatric Problems, Yes 100 (1.2) 30 (0.8) 47 (1.5) 23 (1.8) 0.01 Memory-related Disease, Yes 104 (1.3) 16 (0.4) 63 (2.0) 25 (1.9) <0.001 Arthritis or Rheumatism, Yes 3109 (38.3) 1141 (31.8) 1390 (43.1) 578 (44.6) <0.001 Asthma, Yes 334 (4.1) 92 (2.6) 154 (4.8) 88 (6.8) <0.001 Physical Disabilities, No 7879 (97.1) 3507 (97.7) 3116 (96.6) 1256 (97.0) 0.024 Body Pains Present <0.001 Neck 834 (10.3) 295 (8.2) 382 (11.8) 157 (12.1) <0.001 Back 928 (11.4) 317 (8.8) 416 (12.9) 195 (15.1) <0.001 Waist 1683 (20.7) 589 (16.4) 757 (23.5) 337 (26.0) <0.001 Buttocks 834 (10.3) 166 (4.6) 231 (7.2) 106 (8.2) <0.001 Treatment for Pain, No 616 (24.9) 234 (26.1) 260 (23.9) 122 (25.1) 0.525 Sleeping Time <0.001 ≤5 2400 (29.6) 904 (25.2) 1012 (31.4) 484 (37.4) 6~9 5312 (65.5) 2541 (70.8) 2038 (63.2) 733 (56.6) ≥10 401 (4.9) 146 (4.1) 177 (5.5) 78 (6.0) Smoke, No 4634 (57.1) 2096 (58.4) 1862 (57.7) 676 (52.2) <0.001 Drink, No 5340 (65.8) 2229 (62.1) 2221 (68.8) 890 (68.7) <0.001 Residence, Rural 6252 (77.1) 2705 (75.3) 2428 (75.2) 1119 (86.4) <0.001 Martial Status, Divorced and Others 980 (12.1) 204 (5.7) 497 (15.4) 279 (21.5) <0.001 Education <0.001 Illiterate 2052 (25.3) 558 (15.5) 988 (30.6) 506 (39.1) Primary school and less 2655 (32.7) 1706 (47.5) 768 (23.8) 181 (14.0) Middle school and higher 3406 (42.0) 1327 (37.0) 1471 (45.6) 608 (46.9) Depression, Yes 1140 (14.1) 397 (11.1) 505 (15.6) 238 (18.4) <0.001 ADL, Disability 385 (4.7) 65 (1.8) 213 (6.6) 107 (8.3) <0.001 IADL, Disability 1525 (18.8) 310 (8.6) 794 (24.6) 421 (32.5) <0.001 History of Fall, No 6717 (82.8) 3111 (86.6) 2578 (79.9) 1028 (79.4) <0.001 Physical Activity, No 483 (11.9) 187 (10.3) 198 (12.2) 98 (15.7) 0.001 Social Activity, No 3686 (45.4) 1447 (40.3) 1541 (47.8) 698 (53.9) <0.001 Insurance, No 746 (9.2) 309 (8.6) 289 (9.0) 148 (11.4) 0.009 Work Status <0.001 Currently Not Working 2163 (26.7) 596 (16.6) 1115 (34.6) 452 (34.9) Never Worked 56 (0.7) 17 (0.5) 33 (1.0) 6 (0.5) Working 5894 (72.6) 2978 (82.9) 2079 (64.4) 837 (64.6) Income, CNY <0.001 ≤1000 620 (20.7) 139 (9.9) 310 (28.3) 171 (34.8) 1000~5000 612 (20.5) 204 (14.5) 263 (24.0) 145 (29.5) 5000~10000 455 (15.2) 245 (17.4) 150 (13.7) 60 (12.2) 10000~20000 580 (19.4) 316 (22.5) 192 (17.6) 72 (14.6) ＞20000 724 (24.2) 501 (35.7) 179 (16.4) 44 (8.9) Health Status <0.001 Very good 924 (11.4) 492 (13.7) 337 (10.4) 95 (7.3) Good 887 (10.9) 433 (12.1) 339 (10.5) 115 (8.9) Fair 4275 (52.7) 1998 (55.6) 1619 (50.2) 658 (50.8) Poor 2027 (25.0) 668 (18.6) 932 (28.9) 427 (33.0) Child Health Condition <0.001 Excellent 884 (10.9) 405 (11.3) 355 (11.0) 124 (9.6) Very good 3258 (40.2) 1526 (42.5) 1301 (40.3) 431 (33.3) Good 1571 (19.4) 697 (19.4) 608 (18.8) 266 (20.5) Fair 1865 (23.0) 781 (21.7) 736 (22.8) 348 (26.9) Poor 535 (6.6) 182 (5.1) 227 (7.0) 126 (9.7) Health Satisfaction <0.001 Very satisfied 2061 (25.4) 874 (24.3) 822 (25.5) 365 (28.2) Somewhat satisfied 4006 (49.4) 1881 (52.4) 1544 (47.8) 581 (44.9) Not very satisfied 2046 (25.2) 836 (23.3) 861 (26.7) 349 (26.9) Life Satisfaction 0.06 Completely satisfied 507 (6.2) 208 (5.8) 201 (6.2) 98 (7.6) Very satisfied 3018 (37.2) 1347 (37.5) 1208 (37.4) 463 (35.8) Somewhat satisfied 3957 (48.8) 1753 (48.8) 1577 (48.9) 627 (48.4) Not very satisfied 501 (6.2) 238 (6.6) 186 (5.8) 77 (5.9) Not at all satisfied 130 (1.6) 45 (1.3) 55 (1.7) 30 (2.3) Satisfaction Health Care <0.001 Very satisfied 1348 (16.6) 487 (13.6) 581 (18.0) 280 (21.6) Somewhat satisfied 2028 (25.0) 821 (22.9) 853 (26.4) 354 (27.3) Neutral 3177 (39.2) 1555 (43.3) 1170 (36.3) 452 (34.9) Somewhat dissatisfied 1003 (12.4) 482 (13.4) 393 (12.2) 128 (9.9) Very dissatisfied 557 (6.9) 246 (6.9) 230 (7.1) 81 (6.3) Area <0.001 Central China 1356 (16.7) 652 (18.2) 494 (15.3) 210 (16.2) East China 2574 (31.7) 1124 (31.3) 1043 (32.3) 407 (31.4) North China 978 (12.1) 441 (12.3) 443 (13.7) 94 (7.3) Northeast 581 (7.2) 255 (7.1) 257 (8.0) 69 (5.3) Northwest 658 (8.1) 270 (7.5) 291 (9.0) 97 (7.5) South China 615 (7.6) 295 (8.2) 198 (6.1) 122 (9.4) Southwest 1351 (16.7) 554 (15.4) 501 (15.5) 296 (22.9) Handgrip (kg) 29.4 (9.9) 33.432 (8.767) 27.198 (9.583) 23.687 (8.890) <0.001 Walking Speed (s) 1.5 (8.5) 5.775 (21.565) 0.843 (2.903) 0.817 (3.575) <0.001 Stand-up Test (s) 9.2 (3.8) 7.823 (2.087) 10.297 (4.310) 10.352 (4.768) <0.001 Waist Circumference (cm) 85.3 (13.8) 85.893 (12.886) 89.088 (12.828) 73.990 (12.327) <0.001 ASM/H 2 6.8 (1.6) 6.988 (1.090) 6.992 (1.956) 5.716 (0.960) <0.001 C-Reactive Protein (mg/l) 2.6 (5.3) 2.259 (4.688) 2.781 (4.675) 3.076 (7.775) <0.001 Hemoglobin (g/dl) 13.5 (2.4) 13.732 (2.372) 13.666 (2.251) 12.707 (2.766) <0.001 Data are shown as means (SD) for continuous variables and numbers (percentages) for categorical variables. y, year; cm, centimeter; kg, kilogram; BMI, body mass index; ADL, activities of daily living; IADL, instrumental activity of daily living; CNY, China Yuan; ASM/H 2 , height-adjusted muscle mass; s, second. Table 2 Prevalence of low back pain in the Sarcopenia population aged 45 years or older Non-Sarcopenia n=3590 Overall n=4522 Possible Sarcopenia n=3227 Confirmed Sarcopenia n=1295 Gender Male 10.40% (8.94-11.85) 18.43% (16.74-20.11) 17.38% (15.43-19.33) 21.03% (17.71-24.34) Female 21.76% (19.90-23.62) 28.91% (27.13-30.69) 28.42% (26.32-30.52) 30.14% (26.76-33.52) P for difference <0.001 <0.001 <0.001 <0.001 Age 45-55 16.82% (15.14-18.50) 26.97% (21.96-31.99) 26.22% (20.91-31.53) 32.43% (16.61-48.26) 55-65 16.43% (14.46-18.40) 23.46% (21.47-25.46) 23.50% (21.28-25.72) 23.30% (18.78-27.83) ≥65 13.80% (10.04-17.57) 24.36% (22.67-26.06) 22.95% (20.86-25.04) 26.77% (23.90-29.64) P for difference 0.396 0.401 0.5072 0.3083 BMI Underweight 19.05% (12.10-26.00) 27.71% (23.00-32.43) 0 27.51% (22.80-32.22) Normal Weight 16.72% (14.91-18.53) 23.94% (22.1825.70) 22.85% (20.59-25.11) 25.48% (22.69-28.27) Overweight 15.94% (14.26-17.62) 23.85% (21.93-25.76) 23.84% (21.92-25.76) 25.00% (-13.70-63.70) P for difference 0.5915 0.277 0.158 0.761 Chronic Diseases 0 9.40% (7.84-10.96) 13.02% (11.02-15.02) 12.37% (10.01-14.73) 14.45% (10.69-18.22) 1 15.69% (13.47-17.90) 18.29% (16.12-20.45) 17.84% (15.29-20.39) 19.38% (15.26-23.51) 2 21.37% (18.19-24.55) 26.32% (23.62-29.03) 26.21% (23.00-29.43) 26.58% (21.56-31.60) 3 24.44% (19.67-29.22) 32.35% (28.51-36.18) 29.00% (24.70-33.30) 42.36% (34.19-50.53) ≥4 34.69% (28.69-40.70) 44.83% (40.87-48.79) 42.95% (38.38-47.52) 50.32% (42.36-58.28) P for difference <0.001 <0.001 <0.001 <0.001 Hypertension Yes 17.36% (14.44-20.28) 27.30% (24.90-29.70) 26.25% (23.60-28.90) 31.56% (25.91-37.21) No 16.19% (14.86-17.52) 22.90% (21.45-24.36) 22.09% (20.34-23.84) 24.61% (21.98-27.24) P for difference 0.4668 0.002 0.0088 0.0219 Dyslipidemia Yes 14.89% (11.03-18.76) 27.81% (23.96-31.65) 27.63% (23.51-31.75) 28.99% (18.01-39.96) No 16.55% (15.28-17.83) 23.72% (22.4025.04) 22.77% (21.21-24.33) 25.86% (23.40-28.31) P for difference 0.4383 0.040 0.0232 0.5647 Diabetes or High Blood Sugar Yes 21.71% (15.55-27.88) 29.06% (24.06-34.06) 28.96% (23.40-34.52) 29.51% (17.73-41.29) No 16.13% (14.90-17.36) 23.82% (22.53-25.11) 22.98% (21.46-24.49) 25.85% (23.40-28.30) P for difference 0.0517 0.035 0.0294 0.526 Cancer Yes 25.00% (10.14-39.86) 34.62% (21.24-47.99) 30.30% (13.75-46.85) 42.11% (17.66-66.55) No 16.32% (15.10-17.53) 24.07% (22.82-25.33) 23.39% (21.92-24.86) 25.78% (23.38-28.19) P for difference 0.1615 0.078 0.3511 0.108 Lung Diseases Yes 24.34% (19.49-29.19) 34.10% (30.32-37.88) 31.71% (27.08-36.35) 38.43% (31.89-44.96) No 15.67% (14.42-16.91) 22.66% (21.34-23.97) 22.32% (20.79-23.85) 23.54% (21.00-26.08) P for difference 0.0001 <0.001 <0.001 <0.001 Liver Disease Yes 28.21% (21.07-35.35) 35.32% (29.16-41.47) 33.14% (25.97-40.31) 40.91% (28.73-53.09) No 15.87% (14.64-17.09) 23.58% (22.31-24.85) 22.92% (21.43-24.41) 25.22% (22.79-27.66) P for difference <0.001 <0.001 0.0023 0.005 Heart Attack Yes 25.85% (21.06-30.63) 36.96% (33.35-40.57) 35.63% (31.57-39.70) 41.56% (33.69-49.43) No 15.46% (14.22-16.70) 21.89% (20.58-23.20) 21.03% (19.49-22.57) 23.93% (21.45-26.41) P for difference <0.001 <0.001 <0.001 <0.001 Stroke Yes 24.32% (9.82-38.83) 33.63% (24.78-42.47) 27.38% (17.65-37.12) 51.72% (32.38-71.07) No 16.32% (15.10-17.54) 23.95% (22.69-25.21) 23.35% (21.87-24.83) 25.43% (23.03-27.84) P for difference 0.1909 0.018 0.3901 0.001 Kidney Disease Yes 30.19% (23.96-36.42) 43.20% (38.16-48.24) 41.03% (35.15-46.90) 49.02% (39.15-58.89) No 15.54% (14.32-16.76) 22.47% (21.20-23.75) 21.83% (20.34-23.33) 24.06% (21.63-26.49) P for difference <0.001 <0.001 <0.001 <0.001 Stomach Yes 25.76% (22.88-28.64) 36.19% (33.54-38.83) 36.12% (32.88-39.35) 36.32% (31.72-40.92) No 13.32% (12.04-14.61) 19.49% (18.13-20.85) 18.93% (17.36-20.51) 21.01% (18.30-23.72) P for difference <0.001 <0.001 <0.001 <0.001 Psychiatric Problems Yes 40.00% (21.39-58.61) 40.00% (28.23-51.77) 38.30% (23.87-52.73) 43.48% (21.56-65.40) No 16.20% (14.99-17.41) 23.94% (22.69-25.20) 23.24% (21.77-24.71) 25.71% (23.30-28.11) P for difference <0.001 0.002 0.0156 0.054 Memory-related Disease Yes 25.00% (1.17-48.83) 34.09% (23.99-44.19) 38.10% (25.77-50.42) 24.00% (6.01-41.99) No 16.36% (15.15-17.58) 24.00% (22.74-25.25) 23.17% (21.70-24.64) 26.06% (23.65-28.48) P for difference 0.3521 0.029 0.0056 0.816 Arthritis or Rheumatism Yes 28.22% (25.61-30.84) 35.06% (32.95-37.17) 34.32% (31.82-36.82) 36.85% (32.91-40.80) No 10.90% (9.66-12.13) 15.82% (14.40-17.23) 15.24% (13.60-16.89) 17.29% (14.52-20.07) P for difference <0.001 <0.001 <0.001 <0.001 Asthma Yes 26.09% (16.94-35.23) 32.23% (26.30-38.16) 28.57% (21.36-35.79) 38.64% (28.26-49.01) No 16.15% (14.93-17.37) 23.74% (22.46-25.01) 23.20% (21.71-24.70) 25.10% (22.65-27.55) P for difference 0.011 0.003 0.125 <0.001 Physical Disabilities Yes 27.38% (17.65-37.12) 39.33% (31.43-47.24) 36.94% (27.82-46.06) 46.15% (29.78-62.53) No 16.14% (14.92-17.36) 23.67% (22.41-24.93) 22.98% (21.50-24.46) 25.40% (22.99-27.81) P for difference 0.006 <0.001 <0.001 0.004 Body Pains Present Neck Yes 82.03% (77.63-86.44) 85.71% (82.75-88.68) 84.55% (80.91-88.20) 88.54% (83.50-93.57) No 10.53% (9.48-11.58) 15.87% (14.73-17.00) 15.25% (13.93-16.58) 17.40% (15.19-19.60) P for difference <0.001 <0.001 <0.001 <0.001 Back Yes 84.23% (80.19-88.26) 86.25% (83.51-88.99) 86.30% (82.98-89.62) 86.15% (81.26-91.04) No 9.84% (8.81-10.86) 14.50% (13.39-15.60) 14.16% (12.87-15.45) 15.36% (13.23-17.50) P for difference <0.001 <0.001 <0.001 <0.001 Buttocks Yes 88.55% (83.66-93.45) 91.39% (88.39-94.40) 91.77% (88.21-95.34) 90.57% (84.91-96.22) No 12.91% (11.78-14.03) 18.78% (17.60-19.97) 18.19% (16.81-19.57) 20.27% (17.98-22.56) P for difference <0.001 <0.001 <0.001 <0.001 Sleeping Time (h) ≤5 26.88% (23.99-29.78) 34.76% (32.34-37.18) 35.08% (32.13-38.02) 34.09% (29.85-38.33) 6~9 13.18% (11.87-14.50) 19.16% (17.70-20.63) 18.45% (16.76-20.13) 21.15% (18.18-24.11) ≥10 7.53% (3.20-11.87) 16.86% (12.24-21.49) 14.69% (9.42-19.96) 21.79% (12.43-31.16) P for difference <0.001 <0.001 <0.001 <0.001 Smoke Yes 12.98% (11.27-14.68) 20.46% (18.69-22.24) 19.05% (16.96-21.13) 23.59% (20.23-26.94) No 18.85% (17.17-20.52) 27.11% (25.38-28.84) 26.69% (24.68-28.70) 28.25% (24.85-31.66) P for difference <0.001 <0.001 <0.001 0.056 Drink Yes 13.73% (11.90-15.56) 21.12% (18.99-23.25) 19.48% (17.03-21.93) 25.19% (20.94-29.43) No 18.03% (16.44-19.63) 25.59% (24.05-27.12) 25.26% (23.45-27.07) 26.40% (23.50-29.31) P for difference <0.001 0.001 <0.001 0.643 Residence Urban 11.96% (9.82-14.10) 17.54% (15.15-19.93) 16.77% (14.17-19.37) 21.02% (14.94-27.10) Rural 17.86% (16.41-19.30) 26.02% (24.58-27.47) 25.66% (23.92-27.40) 26.81% (24.21-29.41) P for difference <0.001 <0.001 <0.001 0.104 Marital Status Married with Spouse 15.91% (14.68-17.15) 23.44% (22.08-24.80) 23.19% (21.60-24.77) 24.11% (21.48-26.75) Divorced and others 24.51% (18.56-30.46) 27.84% (24.67-31.00) 24.95% (21.13-28.77) 32.97% (27.42-38.53) P for difference 0.0013 0.009 0.3938 0.003 Education Illiterate 22.22% (18.76-25.68) 29.32% (27.01-31.63) 28.95% (26.11-31.78) 30.04% (26.03-34.05) Middle school and higher 11.43% (9.92-12.94) 13.59% (11.41-15.78) 13.41% (11.00-15.83) 14.36% (9.21-19.52) Primary school and less 20.35% (18.18-22.52) 25.35% (23.48-27.22) 25.02% (22.80-27.23) 26.15% (22.65-29.65) P for difference <0.001 <0.001 <0.001 0.003 Health Status Very good 2.44% (1.07-3.81) 3.47% (1.74-5.21) 3.56% (1.57-5.55) 3.16% (-0.42-6.74) Good 4.16% (2.27-6.04) 9.25% (6.58-11.93) 8.55% (5.56-11.55) 11.30% (5.43-17.18) Fair 13.71% (12.20-15.22) 18.88% (17.28-20.49) 18.28% (16.40-20.17) 20.36% (17.28-23.45) Poor 42.66% (38.90-46.42) 44.67% (42.02-47.31) 45.06% (41.86-48.26) 43.79% (39.07-48.52) P for difference <0.001 <0.001 <0.001 <0.001 Depression Yes 42.57% (37.68-47.45) 53.84% (50.24-57.43) 53.66% (49.30-58.03) 54.20% (47.83-60.58) No 13.15% (11.98-14.32) 18.36% (17.13-19.60) 17.85% (16.41-19.29) 19.68% (17.28-22.08) P for difference <0.001 <0.001 <0.001 <0.001 ADL Yes 15.88% (14.68-17.09) 22.61% (21.34-23.87) 22.06% (20.58-23.54) 23.99% (21.56-26.42) No 44.62% (32.20-57.03) 45.00% (39.52-50.48) 43.19% (36.49-49.90) 48.60% (38.97-58.22) P for difference <0.001 <0.001 <0.001 <0.001 IADL Yes 14.45% (13.24-15.65) 18.57% (17.24-19.89) 18.17% (16.63-19.70) 19.68% (17.04-22.32) No 37.10% (31.69-42.50) 39.51% (36.75-42.26) 39.67% (36.26-43.08) 39.19% (34.51-43.87) P for difference <0.001 <0.001 <0.001 <0.001 History of Fall Yes 29.38% (25.29-33.46) 38.32% (35.16-41.47) 38.06% (34.31-41.80) 38.95% (33.06-44.84) No 14.40% (13.17-15.63) 20.60% (19.28-21.93) 19.78% (18.24-21.32) 22.67% (20.10-25.23) P for difference <0.001 <0.001 <0.001 <0.001 Social Activity Yes 15.86% (14.31-17.41) 23.00% (21.27-24.72) 22.72% (20.71-24.72) 23.79% (20.36-27.21) No 17.21% (15.26-19.16) 25.41% (23.61-27.22) 24.27% (22.13-26.41) 27.94% (24.60-31.27) P for difference 0.2841 0.058 0.2984 0.090 Insurance Yes 16.94% (15.66-18.22) 24.16% (22.85-25.47) 23.62% (22.08-25.16) 25.54% (23.02-28.07) No 10.68% (7.22-14.14) 24.49% (20.44-28.53) 21.80% (17.01-26.59) 29.73% (22.28-37.18) P for difference 0.0045 0.881 0.4856 0.275 Work Status Currently Not Working 17.28% (14.24-20.33) 24.06% (21.94-26.18) 23.86% (21.35-26.36) 24.56% (20.57-28.54) Never Worked 17.65% (-2.56-37.85) 20.51% (7.25-33.77) 21.21% (6.49-35.93) 16.67% (-26.18-59.51) Working 16.22% (14.89-17.54) 24.31% (22.76-25.87) 23.28% (21.46-25.10) 26.88% (23.87-29.89) P for difference 0.8073 0.849 0.8924 0.578 Child Health Condition Excellent 14.07% (10.67-17.48) 29.02% (24.94-33.10) 29.86% (25.08-34.64) 26.61% (18.73-34.50) Very good 15.01% (13.21-16.80) 22.11% (20.16-24.07) 22.21% (19.95-24.48) 21.81% (17.90-25.72) Good 20.23% (17.24-23.22) 25.74% (22.84-28.65) 25.49% (22.02-28.97) 26.32% (20.99-31.64) Fair 14.85% (12.35-17.35) 21.49% (19.05-23.94) 18.61% (15.80-21.43) 27.59% (22.87-32.31) Poor 25.27% (18.90-31.65) 32.29% (27.39-37.20) 30.84% (24.78-36.89) 34.92% (26.48-43.36) P for difference <0.001 <0.001 <0.001 0.047 Health Satisfaction Very satisfied 9.15% (7.24-11.07) 14.24% (12.25-16.23) 13.75% (11.39-16.11) 15.34% (11.63-19.06) Somewhat satisfied 10.90% (9.49-12.31) 18.02% (16.39-19.66) 17.03% (15.16-18.91) 20.65% (17.35-23.96) Not very satisfied 36.36% (33.10-39.63) 44.79% (41.99-47.60) 44.25% (40.93-47.58) 46.13% (40.88-51.39) P for difference <0.001 <0.001 <0.001 <0.001 Life Satisfaction Completely satisfied 10.58% (6.36-14.79) 16.72% (12.47-20.98) 16.92% (11.69-22.14) 16.33% (8.88-23.77) Very satisfied 11.80% (10.08-13.53) 18.07% (16.23-19.92) 18.21% (16.03-20.39) 17.71% (14.22-21.20) Somewhat satisfied 17.97% (16.17-19.77) 25.68% (23.86-27.51) 24.41% (22.29-26.54) 28.87% (25.31-32.42) Not very satisfied 30.25% (24.37-36.13) 50.95% (44.87-57.03) 48.92% (41.67-56.18) 55.84% (44.50-67.19) Not at all satisfied 46.67% (31.51-61.82) 49.41% (38.56-60.26) 49.09% (35.45-62.73) 50.00% (31.01-68.99) P for difference <0.001 <0.001 <0.001 <0.001 Satisfaction Health Care Very satisfied 14.99% (11.81-18.17) 20.79% (18.07-23.51) 19.62% (16.38-22.86) 23.21% (18.24-28.19) Somewhat satisfied 14.49% (12.08-16.91) 23.70% (21.29-26.10) 23.45% (20.60-26.30) 24.29% (19.80-28.78) Neutral 15.69% (13.88-17.50) 22.56% (20.53-24.60) 21.97% (19.59-24.34) 24.12% (20.16-28.07) Somewhat dissatisfied 20.75% (17.11-24.38) 29.94% (26.00-33.89) 28.75% (24.26-33.25) 33.59% (25.30-41.89) Very dissatisfied 21.54% (16.37-26.72) 34.41% (29.10-39.71) 31.74% (25.68-37.80) 41.98% (30.99-52.96) P for difference 0.005 <0.001 <0.001 0.002 Area Central China 15.80% (12.99-18.60) 23.01% (19.89-26.13) 20.45% (16.88-24.01) 29.05% (22.86-35.24) East China 13.70% (11.69-15.71) 21.52% (19.40-23.63) 21.76% (19.26-24.27) 20.88% (16.92-24.85) North China 15.87% (12.45-19.30) 23.65% (20.04-27.26) 25.06% (21.01-29.11) 17.02% (9.28-24.76) South China 15.69% (11.19-20.18) 21.25% (16.74-25.76) 20.71% (15.01-26.40) 22.13% (14.66-29.60) Northeast 19.26% (14.53-23.99) 22.70% (18.13-27.27) 22.57% (17.42-27.71) 23.19% (12.98-33.40) Northwest 13.22% (9.33-17.11) 30.67% (26.06-35.28) 29.21% (23.95-34.47) 35.05% (25.39-44.72) Southwest 23.65% (20.10-27.20) 29.11% (25.95-32.27) 26.75% (22.86-30.64) 33.11% (27.72-38.50) P for difference <0.001 <0.001 <0.001 <0.001 Data are shown as percentages (95%CI). BMI, body mass index; ADL, activities of daily living; IADL, instrumental activity of daily living. 95% CI could not be calculated when the prevalence was equal to 0 or 1. Table 3 Multivariate analyses for low back pain associated with risk factors in the Sarcopenia population aged 45 years or older Possible sarcopenia Confirmed Sarcopenia OR (95%CI) P value OR (95%CI) P value Gender (Female) 1.20(0.85-1.70) 0.303 1.26(0.76-2.09) 0.365 Hypertension (Yes) 0.94(0.75-1.18) 0.588 0.94(0.64-1.37) 0.740 Dyslipidemia (Yes) 1.03(0.76-1.41) 0.836 Diabetes or High Blood Sugar (Yes) 1.31(0.89-1.92) 0.172 Cancer (Yes) 2.56(0.83-7.88) 0.100 Lung Diseases (Yes) 1.15(0.82-1.63) 0.422 1.38(0.92-2.05) 0.116 Liver Disease (Yes) 1.82(0.99-3.36) 0.054 Heart Attack (Yes) 1.31(0.99-1.73) 0.055 1.55(0.98-2.47) 0.062 Stroke (Yes) 2.23(0.95-5.23) 0.065 Kidney Disease (Yes) 1.82(1.23-2.68) 0.003 1.94(1.15-3.27) 0.012 Stomach (Yes) 1.66(1.33-2.08) <0.001 1.50(1.08-2.06) 0.014 Psychiatric Problems (Yes) 1.21(0.61-2.43) 0.584 0.98(0.28-3.40) 0.978 Memory Related Disease (Yes) 1.55(0.91-2.66) 0.107 Arthritis or Rheumatism (Yes) 1.76(1.42-2.18) <0.001 1.78(1.30-2.44) <0.001 Asthma (Yes) 1.01(0.62-1.65) 0.963 1.24(0.71-2.16) 0.453 Physical Disabilities (Yes) 1.45(0.91-2.30) 0.116 1.21(0.50-2.93) 0.679 Sleeping Time ≤5 2.65(1.60-4.40) <0.001 1.44(0.73-2.83) 0.295 6~9 1.75(1.06-2.87) 0.028 0.91(0.47-1.78) 0.791 ≥10 Ref Ref Smoke (Yes) 0.86(0.63-1.18) 0.354 1.27(0.79-2.05) 0.320 Drink (Yes) 1.04(0.81-1.34) 0.746 Residence (Rural) 1.55(1.16-2.08) 0.003 1.38(0.83-2.29) 0.219 Marital Status (Divorced and others) 1.37(0.95-2.00) 0.096 Education Illiterate 1.61(1.15-2.26) 0.006 1.59(0.83-3.06) 0.166 Primary school and less Ref Ref Middle school and higher 1.69(1.25-2.28) 0.001 1.69(0.92-3.09) 0.089 Depression (Yes) 3.29(2.54-4.27) <0.001 2.87(2.01-4.12) <0.001 ADL (disability) 1.16(0.75-1.80) 0.497 1.87(1.04-3.35) 0.036 IADL (disability) 1.80(1.39-2.34) <0.001 1.55(1.07-2.24) 0.020 History of Fall (Yes) 1.76(1.39-2.24) <0.001 1.47(1.02-2.11) 0.040 Social Activity (No) 1.19(0.87-1.62) 0.273 Child Health Condition Excellent Ref Ref Very good 0.87(0.62-1.21) 0.413 0.76(0.41-1.39) 0.370 Good 0.80(0.55-1.16) 0.243 0.93(0.50-1.74) 0.826 Fair 0.58(0.40-0.84) 0.004 0.90(0.49-1.64) 0.726 Poor 0.84(0.53-1.36) 0.484 1.39(0.70-2.77) 0.351 Work Status Currently Not Working 2.30(0.78-6.76) 0.131 Never Worked Ref Working 2.56(0.87-7.54) 0.088 Note: Ref, Reference; OR, odds ratio; CI, confidence interval; ADL, activities of daily living; IADL, instrumental activity of daily living. The multivariate regression model included those variables with p < 0.20 during the respective univariate analyses. P value for categorical variables with multiple levels were based on linear trend tests. Additional Declarations No competing interests reported. Supplementary Files supplementalmaterials.docx Supplementary materials eTable 1Prevalence of low back pain in the Sarcopenia population aged 45 years or older by gender eTable 2Prevalence of low back pain in the Sarcopenia population aged 45 years or older by residence eTable 3Prevalence of low back pain in the Sarcopenia population aged 45 years or older by number of chronic diseases eTable 4Weighted prevalence of low back pain in the Sarcopenia population aged 45 years or older eTable 5Weighted prevalence of low back pain in the Sarcopenia population aged 45 years or older by gender eTable 6 Weighted prevalence of low back pain in the Sarcopenia population aged 45 years or older, by residence eTable 7Weighted prevalence of low back pain in the Sarcopenia population aged 45 years or older by number of chronic diseases eTable 8Univariate and Multivariate analyses for low back pain associated with risk factors in the Sarcopenia population aged 45 years or older eTable 9 Univariate analyses for low back pain associated with risk factors in the Sarcopenia population aged 45 years or older eTable 10Multivariate analyses for low back pain associated with risk factors in the Possible Sarcopenia population aged 45 years or older by gender eTable 11Multivariate analyses for low back pain associated with risk factors in the Confirmed Sarcopenia population aged 45 years or older by gender eTable 12Multivariate analyses for low back pain associated with risk factors in the Possible Sarcopenia population aged 45 years or older by residence eTable 13Multivariate analyses for low back pain associated with risk factors in the Confirmed Sarcopenia population aged 45 years or older by residence eTable 14Multivariate analyses for low back pain associated with risk factors in the Possible Sarcopenia population aged 45 years or older by chronic diseases eTable 15Multivariate analyses for low back pain associated with risk factors in the Confirmed Sarcopenia population aged 45 years or older by chronic diseases eFigure 1Crude and weighted prevalence of low back pain among Sarcopenia population aged 45 years or older eFigure 2Risk factors associated with LBP in Sarcopenia population by gender eFigure 3Risk factors associated with LBP in Sarcopenia population by residence eFigure 4Risk factors associated with LBP in Sarcopenia population by chronic diseases Cite Share Download PDF Status: Published Journal Publication published 24 Apr, 2025 Read the published version in BMC Public Health → Version 1 posted Editorial decision: Revision requested 06 Jan, 2025 Reviews received at journal 06 Jan, 2025 Reviewers agreed at journal 11 Dec, 2024 Reviews received at journal 12 Jun, 2024 Reviewers agreed at journal 04 Jun, 2024 Reviewers agreed at journal 03 Jun, 2024 Reviewers invited by journal 02 Apr, 2024 Editor invited by journal 25 Mar, 2024 Submission checks completed at journal 21 Mar, 2024 Editor assigned by journal 21 Mar, 2024 First submitted to journal 20 Mar, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Wang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9klEQVRIiWNgGAWjYDADNhDxAcI2IF4L4wyStIAAMw8xWgyOnz38mrfNRraPHciwbduW2MDevE2CoeYObi1n8tIsZ7alGbfx5KVZ57bdTmzgOVYmwXDsGU4tZgdyzAw+th1ObGPIMTPO3QbUIpFjJsHYcBi3lvNvzAwS2/4ntvG/MTO2BGmRf0NAy40c4wcf2w4ktknkGD9mBNvCg1+L/Y03ZowzziUbt0kAGb3/bgM9lVZskXAMtxbJ/hzjzzxldrLzgYwPP87clu1nP7zxxoca3FqAgE0CSDA2QBmQZJCATwMwAj9AtTB/wK9wFIyCUTAKRioAAKoeWQJEv2nOAAAAAElFTkSuQmCC","orcid":"","institution":"Wenzhou Medical University","correspondingAuthor":true,"prefix":"","firstName":"Xue-Qiang","middleName":"","lastName":"Wang","suffix":""}],"badges":[],"createdAt":"2024-03-20 05:20:02","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4134269/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4134269/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s12889-025-22723-2","type":"published","date":"2025-04-24T15:57:25+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":53491986,"identity":"def01fd2-0720-476b-8113-520f5d6c2db1","added_by":"auto","created_at":"2024-03-26 15:49:36","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":197141,"visible":true,"origin":"","legend":"\u003cp\u003eFlow chart for subjects enrolled in this study\u003c/p\u003e","description":"","filename":"Figure1.png","url":"https://assets-eu.researchsquare.com/files/rs-4134269/v1/b9012434302886d1fa55f58c.png"},{"id":53491987,"identity":"da70a8f4-5a73-4789-8c8a-20ff066604cf","added_by":"auto","created_at":"2024-03-26 15:49:36","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":178512,"visible":true,"origin":"","legend":"\u003cp\u003eRisk factors associated with LBP in Sarcopenia population\u003c/p\u003e\n\u003cp\u003eNote: IADL, instrumental activity of daily living; OR, odds ratio; CI, confidence interval.\u003c/p\u003e","description":"","filename":"Figure2.png","url":"https://assets-eu.researchsquare.com/files/rs-4134269/v1/5122317e6426e90d82d07ceb.png"},{"id":81569615,"identity":"09cf62ed-9ab7-4e4b-b17e-f7ef759ebf98","added_by":"auto","created_at":"2025-04-28 16:08:07","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3252226,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4134269/v1/fb60e53d-62f8-42c0-af1e-16835e79a53c.pdf"},{"id":53491985,"identity":"9f6c0d2b-0c5c-4804-9e34-bc7d84bbfc68","added_by":"auto","created_at":"2024-03-26 15:49:36","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":1338817,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSupplementary materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeTable 1\u003c/strong\u003ePrevalence of low back pain in the Sarcopenia population aged 45 years or older by gender\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeTable 2\u003c/strong\u003ePrevalence of low back pain in the Sarcopenia population aged 45 years or older by residence\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeTable 3\u003c/strong\u003ePrevalence of low back pain in the Sarcopenia population aged 45 years or older by number of chronic diseases\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeTable 4\u003c/strong\u003eWeighted prevalence of low back pain in the Sarcopenia population aged 45 years or older\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeTable 5\u003c/strong\u003eWeighted prevalence of low back pain in the Sarcopenia population aged 45 years or older by gender\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeTable 6 \u003c/strong\u003eWeighted prevalence of low back pain in the Sarcopenia population aged 45 years or older, by residence\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeTable 7\u003c/strong\u003eWeighted prevalence of low back pain in the Sarcopenia population aged 45 years or older by number of chronic diseases\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeTable 8\u003c/strong\u003eUnivariate and Multivariate analyses for low back pain associated with risk factors in the Sarcopenia population aged 45 years or older\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeTable 9 \u003c/strong\u003eUnivariate analyses for low back pain associated with risk factors in the Sarcopenia population aged 45 years or older\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeTable 10\u003c/strong\u003eMultivariate analyses for low back pain associated with risk factors in the Possible Sarcopenia population aged 45 years or older by gender\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeTable 11\u003c/strong\u003eMultivariate analyses for low back pain associated with risk factors in the Confirmed Sarcopenia population aged 45 years or older by gender\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeTable 12\u003c/strong\u003eMultivariate analyses for low back pain associated with risk factors in the Possible Sarcopenia population aged 45 years or older by residence\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeTable 13\u003c/strong\u003eMultivariate analyses for low back pain associated with risk factors in the Confirmed Sarcopenia population aged 45 years or older by residence\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeTable 14\u003c/strong\u003eMultivariate analyses for low back pain associated with risk factors in the Possible Sarcopenia population aged 45 years or older by chronic diseases\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeTable 15\u003c/strong\u003eMultivariate analyses for low back pain associated with risk factors in the Confirmed Sarcopenia population aged 45 years or older by chronic diseases\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeFigure 1\u003c/strong\u003eCrude and weighted prevalence of low back pain among Sarcopenia population aged 45 years or older\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeFigure 2\u003c/strong\u003eRisk factors associated with LBP in Sarcopenia population by gender\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeFigure 3\u003c/strong\u003eRisk factors associated with LBP in Sarcopenia population by residence\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eeFigure 4\u003c/strong\u003eRisk factors associated with LBP in Sarcopenia population by chronic diseases\u003c/p\u003e","description":"","filename":"supplementalmaterials.docx","url":"https://assets-eu.researchsquare.com/files/rs-4134269/v1/df5d8193399507ce40000ada.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Prevalence and Risk Factors of Low Back Pain in Middle-aged and Elderly People with Sarcopenia: a Nationwide Cross-sectional Study","fulltext":[{"header":"INSTRUCTION","content":"\u003cp\u003eIn 2019, the European Working Group on Sarcopenia in Older People (EWGSOP) published a definition of sarcopenia as a progressive and generalized skeletal muscle disorder involving accelerated loss of muscle mass and function\u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]\u003c/sup\u003e. Meanwhile, the Asian Working Group for Sarcopenia (AWGS) retains its original definition for sarcopenia as age-related loss of skeletal muscle mass with loss of muscle strength and/or reduced physical performance. Sarcopenia is a geriatric condition that has been associated with increased adverse outcomes like falling, frailty, functional decline, and mortality \u003csup\u003e[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]\u003c/sup\u003e. The global prevalence of sarcopenia is estimated to range from 5% for EWGSOP2 to 22% for EWGSOP\u003csup\u003e[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/sup\u003e. For older adult (60\u0026ndash;94 years), the prevalence rates of possible sarcopenia, sarcopenia, and severe sarcopenia were 38.5%, 18.6%, and 8.0%, respectively\u003csup\u003e[\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]\u003c/sup\u003e. Aside from commonly affecting the older adult, sarcopenia can onset in mid-life\u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]\u003c/sup\u003e, with a prevalence range of 8\u0026ndash;36%\u003csup\u003e[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eLower back pain (LBP) is a high-prevalent chronic disease in aged population \u003csup\u003e[\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]\u003c/sup\u003e. One review including 165 studies of 54 countries estimated the point prevalence of LBP to be 11.9%, and to be most common in people aged 40\u0026ndash;80 years\u003csup\u003e[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]\u003c/sup\u003e. A 2022 review suggested a positive correlation between sarcopenia and pain \u003csup\u003e[\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]\u003c/sup\u003e. Another study further confirmed that older adults at risk for sarcopenia often suffer from chronic musculoskeletal pain\u003csup\u003e[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]\u003c/sup\u003e. However, relatively limited evidence is available concerning the prevalence and risk factors of LBP in sarcopenia population older than 45 years in China.\u003c/p\u003e \u003cp\u003eThe intervention research for LBP in sarcopenia population needs an accurate estimate of its prevalence. The popular intervention for LBP is prevention that is based around limiting exposure to risk factors\u003csup\u003e[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]\u003c/sup\u003e. Thus, early identification of prevalence and high-risk groups is important.\u003c/p\u003e \u003cp\u003eThis study aimed to estimate the prevalence of LBP in people with sarcopenia aged 45 years or older by using the China Health and Retirement Longitudinal Study (CHARLS) and assess the related risk factors for this prevalence.\u003c/p\u003e"},{"header":"METHOD","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eStudy Participants\u003c/h2\u003e \u003cp\u003eThis cross-sectional study is based on data from CHARLS, which is an ongoing nationally representative public survey among residents in China from 2008 to 2018. The CHARLS research team collects high-quality data, including sociodemographic characteristics, lifestyle, and health-related factors, through a structured questionnaire by one-to-one interviews. By multistage stratified probability-proportionate-to-size sampling, the CHARLS research team surveyed more than 17,000 participants in about 10,000 households from 450 villages and 150 districts or counties within 28 provinces in China. The data included individual weighting variables to ensure that the survey sample was nationally representative. Detailed information about the study design of CHARLS has been previously reported \u003csup\u003e[\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]\u003c/sup\u003e. CHARLS has released five-wave data of survey in 2011 (wave 1), 2013 (wave 2), 2015 (wave 3), 2018 (wave 4), and 2020 (wave 5). The datasets can be downloaded at \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://charls.pku.edu.cn/en\u003c/span\u003e\u003cspan address=\"http://charls.pku.edu.cn/en\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/p\u003e \u003cp\u003eIn this study, data from CHARLS 2015 were analyzed. The sample size was 21,095. The exclusion criteria were as follows: 1) no information on gender, age, and physical examination to estimate sarcopenia status (n\u0026thinsp;=\u0026thinsp;5321); 2) no information on pain (n\u0026thinsp;=\u0026thinsp;233); 3) persons aged less than 45 years in CHARLS 2015 (n\u0026thinsp;=\u0026thinsp;681); 4) abnormal value (n\u0026thinsp;=\u0026thinsp;38); and 5) lack of information regarding instrumental activities of daily living (ADL), sleep time, drinking, residence, history of fall, physical disabilities, educational level, insurance, and working status and weighted and health-relevant information (n\u0026thinsp;=\u0026thinsp;6709). This cross-sectional analysis included 8113 participants. Among them, 4255 participants with sarcopenia were identified. The full process of selection of participants is depicted in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eAssessment of Sarcopenia Status\u003c/h2\u003e \u003cp\u003eSarcopenia was assessed on the basis of the AWGS 2019 criteria, which are composed of three components: appendicular skeletal muscle mass (ASM), muscle strength, and physical performance \u003csup\u003e[\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]\u003c/sup\u003e. ASM was estimated using the following validated anthropometric equation in Chinese residents, which showed a strong consistency with X-ray absorptiometry \u003csup\u003e[\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]\u003c/sup\u003e:\u003c/p\u003e \u003cp\u003e \u003cb\u003eASM\u0026thinsp;=\u0026thinsp;0.193 \u0026times; weight (kg)\u0026thinsp;+\u0026thinsp;0.107 \u0026times; height (cm) \u0026ndash; 4.157 \u0026times; gender \u0026minus;\u0026thinsp;0.037 \u0026times; age (years) \u0026ndash; 2.631.\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe cut-off for defining low muscle mass was based on the sex-specific lowest 20% of the height-adjusted muscle mass (ASM/Ht\u003csup\u003e2\u003c/sup\u003e) among the study population, with \u0026lt;\u0026thinsp;5.386 kg/m\u003csup\u003e2\u003c/sup\u003e in female and \u0026lt;\u0026thinsp;7.069 kg/m\u003csup\u003e2\u003c/sup\u003e in male for this article.\u003c/p\u003e \u003cp\u003eMuscle strength was indicated through handgrip strength (unit: kg). Subjects were tested two times for both hands by holding the dynamometer at a right angle (90\u0026deg;). The average of the maximum data was used. If the grip strength in either hand of the participant could not be measured due to health reasons, the value measured on the other hand was recorded. In accordance with AWGS 2019, the cut-off point for low handgrip strength was defined as less than 28 kg for men and less than 18 kg for women.\u003c/p\u003e \u003cp\u003eGait speed and five-time chair stand test (CST) were used for examine physical performance. For gait speed, each participant walked a 2.5 m distance at a normal pace two times (there and back), and the completed time was recorded to calculate the usual gait speed (m/s). The average of all the values was taken. Five-time CST measures the amount of time (unit: s) needed for participants to rise continuously five times keeping their arms folded across their chest from the height of a 47 cm chair. In accordance with the AWGS 2019 recommendations, the cut-off point for low physical performance was defined as gait speed\u0026thinsp;\u0026lt;\u0026thinsp;1.0 m/s and 5-time CST\u0026thinsp;\u0026ge;\u0026thinsp;12 s. Those who tried but failed to perform CST were considered as having low physical performance for the purpose of analyses.\u003c/p\u003e \u003cp\u003eThe participants without any low muscle strength, low muscle mass, and low physical performance were classified as no-sarcopenia. Possible sarcopenia is defined as low muscle strength or low physical performance. Confirmed sarcopenia is defined as low skeletal muscle mass with low muscle strength or low physical performance. When low muscle strength, low muscle mass, and low physical performance are all detected, severe sarcopenia is considered. In this study population, only 192 (2.3%) participants had severe sarcopenia, and they were merged into the confirmed sarcopenia group. Therefore, all participants were divided into three groups: no-sarcopenia (n\u0026thinsp;=\u0026thinsp;3591), possible sarcopenia (n\u0026thinsp;=\u0026thinsp;3227), and confirmed sarcopenia (n\u0026thinsp;=\u0026thinsp;1295).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eIdentification of LBP\u003c/h2\u003e \u003cp\u003eThe study outcome was LBP events. In the questionnaire, participants were asked \u0026ldquo;what part of your body do you feel pain\u0026rdquo; and instructed to list all parts of the body where they felt pain at present. The locations of the pain included the head, shoulders, arms, wrists, fingers, chest, stomach, back, waist, buttocks, leg, knees, ankle, toes, neck, and others. Participants were considered to have LBP if they chose the waist.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eCovariates\u003c/h2\u003e \u003cp\u003eAccording to prior knowledge, trained interviewers collected information on sociodemographic status and health-related factors by using a structured questionnaire. Sociodemographic variables included age, sex, height, weight, education (illiterate, primary school and less, or middle school and higher), marital status (married with spouse, divorced, or others), residence, work status (currently not working, never worked, or working), income (\u0026le;\u0026thinsp;1000, 1000\u0026ndash;5000, 5000\u0026ndash;10,000, 10,000\u0026ndash;20,000, or \u0026gt;\u0026thinsp;20,000 Chinese Yuan), insurance, and area (Central, East, North, South, Southwest, Northeast, or Northwest China). Health-related factors included body mass index (BMI), number of chronic diseases, 14 common comorbidities (hypertension, dyslipidemia, diabetes or high blood sugar, cancer, lung diseases, liver disease, heart attack, stroke, kidney disease, gastrointestinal disease, psychiatric problem, memory-related disease, arthritis or rheumatism, and asthma), physical disabilities, multisite pain (back, waist, and buttocks), treatment for pain (yes or no), sleeping time (extremely short sleep, \u0026le; 5 h; normal sleep, 6\u0026ndash;9 h; or excessive sleep, \u0026ge; 10 h)\u003csup\u003e[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]\u003c/sup\u003e, smoking and drinking status (yes or no), handgrip, walking speed, stand-up test, waist circumference, ASM/H\u003csup\u003e2\u003c/sup\u003e, health status, depression (10-item Center for Epidemiologic Studies Depression Scale), ADL, instrumental ADL (IADL), history of fall, physical activity, social activity, child health condition, health satisfaction, life satisfaction, healthcare satisfaction, C-reactive protein (mg/l), and hemoglobin (g/dl).\u003c/p\u003e \u003cp\u003eFor sociodemographic variables, age was divided into three groups at every 10 years: 45\u0026ndash;55, 55\u0026ndash;65, and older than 65 years. In accordance with the National Bureau of Statistics, the area type of their residence was categorized as urban or rural. An urban area is located in the main city zone, combination zone between urban and rural areas, and town center. Rural areas included the ZhenXiang area, special area, township central, and village. Income was calculated by adding the value of sold produced products, self-employed business income, received pension, and other compensation. Social activities were coded as \u0026ldquo;yes\u0026rdquo; or \u0026ldquo;no\u0026rdquo; by asking respondents whether they were involved in certain activities, such as surfing the Internet and engaging in community-related organizations. Physical activities were coded as \u0026ldquo;yes\u0026rdquo; or \u0026ldquo;no\u0026rdquo; by asking about the amount of time participants spent on physical activities in a usual week. ADL involved clothing, showering, taking meals, toileting, going to and from bed, and bowel and bladder function. IADL involved housekeeping, preparing meals, shopping, using the phone, administering medication, and finances. In this sample, ADL or IADL disability was counted as reported difficulty with any item.\u003c/p\u003e \u003cp\u003eFor health-related factors, subjects were diagnosed as chronic diseases and body pain by a doctor and then reported through questionnaire. BMI was divided into three groups: underweight (\u0026lt;\u0026thinsp;18.5 kg/ m\u003csup\u003e2\u003c/sup\u003e), normal weight (18.5\u0026ndash;24 kg/m\u003csup\u003e2\u003c/sup\u003e), and overweight or obesity (\u0026ge;\u0026thinsp;24 kg/m\u003csup\u003e2\u003c/sup\u003e)\u003csup\u003e[\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]\u003c/sup\u003e. Information on fall, fracture, smoking, drinking, physical activity, social activity, insurance, and physical disabilities were based on self-reports. Each subject used a scale of 1\u0026ndash;5 to report their child health condition, life satisfaction, and satisfaction with healthcare situation, with 1 and 5 denoting excellent and very poor, respectively. The current overall health state ratings were then re-stratified into three groups (good, fair, and poor). The detection method of CRP was immunoturbidimetric assay. Hemoglobin was measured at local county health centers.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003eStatistical Analysis\u003c/h2\u003e \u003cp\u003eCalculations of prevalence and risk factors were weighted to represent the general adult population aged 45 years or older in China, with non-response adjustment. Weights were calculated using data from the China Center for Economic Research Institute of Social Science Survey Peking University. The cross-sectional biomarker weight was calculated on the basis of individual cross-sectional weights and a logit regression of whether the individual responses in the biomarker, the biomarker level inverse probability weight factor is calculated by the inverse of predicted probability for each individual (cap at the 99th percentile) \u003csup\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/sup\u003e. However, considering that the weighted prevalence had no confidence interval (CI), the results were included in the annex, and the crude prevalence was mainly analyzed in this paper.\u003c/p\u003e \u003cp\u003eData were analyzed using R software version 4.3.1 and STATA 16.0 software. Demographic data were analyzed using descriptive statistics, which were presented as frequencies (n) and proportions (%) for categorical variables and mean and standard deviation for continuous variables. The P value for all variables was used to compare the differences between groups. One-way ANOVA was used for continuous variables, and Pearson\u0026rsquo;s chi-squared test was used for categorical variables. The odds ratios (ORs) and 95% CIs for LBP risk factors were estimated using univariate analysis (cut-off of \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.2) \u003csup\u003e[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]\u003c/sup\u003e and multivariate logistic regression analysis to investigate the risk factors for LBP in the possible sarcopenia and sarcopenia groups separately. \u003cem\u003eP\u003c/em\u003e for trend is mainly used to test linear change trends. An adjusted \u003cem\u003ep\u003c/em\u003e-value of \u0026lt;\u0026thinsp;0.05 was deemed statistically significant.\u003c/p\u003e \u003c/div\u003e"},{"header":"RESULT","content":"\u003cp\u003e\u003cstrong\u003eParticipants\u0026rsquo; demographic Characteristics\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1\u003c/strong\u003e presents the baseline characteristics of the study population in 2015. Among the 8113 participants, the majority were female (4385, 46.0%), more than 65 years old (2805, 34.6%; median 61.3 \u0026plusmn; 8.9), and living in rural areas (6252, 77.1%). On the basis of the AWGS criteria, 3227 (39.8%) and 1295 (16%) participants were diagnosed as possible sarcopenia and confirmed sarcopenia, respectively. The subjects with confirmed sarcopenia were older than those without sarcopenia (69.4 vs. 55.3 years). They were not married (21.5%), and they were living in rural setting (86.4%). They also had poorer physical performance (mean, 23.7 vs. 33.4 kg in hand grip, 0.8 vs 5.8 s in walking speed, and 10.4 vs. 7.8 s in stand-up test), more chronic diseases (12.0%), higher C-reactive protein (3.1 vs. 2.3 mg/l), and lower hemoglobin (12.7 vs. 13.7 g/dl, all \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001) than those with sarcopenia. The prevalence of LBP was significantly higher than that of other physical pain. Statistical differences among non-sarcopenia, possible sarcopenia, and confirmed sarcopenia groups were found (\u003cem\u003ep\u0026nbsp;\u003c/em\u003e\u0026lt; 0.05) in all covariates except sex, cancer, liver disease, treatment for pain, and life satisfaction. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePrevalence of LBP\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe overall prevalence of LBP was 24.2% (n = 1094, 95% CI [22.9\u0026ndash;25.4]) among the population aged 45 years or older, 23.5% (757, [22.0\u0026ndash;24.9]) in the possible sarcopenia population, and 26.0% (337, [23.6-28.4]) in the confirmed sarcopenia population (\u003cstrong\u003eTable 1\u003c/strong\u003e, \u003cstrong\u003eFigure S1\u003c/strong\u003e). In the sarcopenia population, women had a higher prevalence than men (28.9%, 95% CI [27.1\u0026ndash;30.7] vs. 18.4 [16.7\u0026ndash;20.1]; \u003cem\u003ep\u0026nbsp;\u003c/em\u003e\u0026lt; 0.001; \u003cstrong\u003eTable 2\u003c/strong\u003e). The prevalence of LBP increased steadily with the number of chronic diseases from 13.0% (95% CI 11.0\u0026ndash;15.0) at no chronic disease to 44.8% (40.9-48.8) at \u0026ge;4 chronic diseases (\u003cem\u003ep\u003c/em\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u0026lt; 0.001). The prevalence among people with hypertension, lung diseases, liver disease, heart attack, kidney disease, gastrointestinal disease, psychiatric problem, and arthritis or rheumatism was noted compared with no such diseases (all \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001 for the chronic comorbidity difference). The prevalence of LBP in the sarcopenia group with depression was as high as 53.9%, with 53.7% in the possible sarcopenia group and 54.2% in the confirmed sarcopenia group (\u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001). In terms of educational level, LBP was most prevalent in illiterate population (29.3% [27.0\u0026ndash;31.6], \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001). Individuals with a history of fall were more likely to have LBP than those without fall history (38.3% [35.2\u0026ndash;41.5] vs. 20.6 [19.3\u0026ndash;21.9], \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001), and people with poor health in childhood had a higher prevalence of LBP. Moreover, the prevalence presented a significant decrease with increases in sleeping time, ranging from 34.8% (32.3\u0026ndash;37.2) for \u0026le;5 h to 16.9% (12.2-21.5) for \u0026ge; 10 h (\u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eSome different patterns were noted in the prevalence between possible sarcopenia and confirmed sarcopenia populations. For chronic diseases, the highest prevalence of LBP for confirmed and possible sarcopenia were found in people with stroke and kidney disease, respectively. In terms of working status, the prevalence of LBP in working people with confirmed sarcopenia was higher than that in others. In the possible sarcopenia population, those who were currently unemployed had a higher prevalence.\u003c/p\u003e\n\u003cp\u003eIn the subgroup analysis (\u003cstrong\u003eTable S5\u003c/strong\u003e), although higher prevalence and percentage distribution were found in female population, some different patterns of prevalence were observed both genders. In probable sarcopenia, LBP was more common in women with memory-related disease (66.7% [47.7\u0026ndash;85.8]), who are unmarried (29.4% [24.4\u0026ndash;34.4]), illiterate (31.1% [27.9\u0026ndash;34.4]), with insurance (29.2% [27.0\u0026ndash;31.5]), currently unemployed (14.19% [26.5\u0026ndash;33.4]), and living in Southwest China (33.0% [27.2\u0026ndash;38.7]) and in men with psychiatric problems (33.3% [6.3-60.4]), married (17.4% [15.4\u0026ndash;19.6]), with middle school and higher educational level (21.7% [18.8-24.7]), without insurance (22.7% [14.8\u0026ndash;30.7]), working (18.8% [16.4\u0026ndash;21.2]), and living in Northwest China (24.2% [16.6\u0026ndash;31.8]). For sarcopenia, the prevalence was common among women with psychiatric problems (57.1% [27.5\u0026ndash;86.8]), who are unmarried (37.8% [31.0\u0026ndash;44.5]), had higher educational level (30.8% [25.2\u0026ndash;36.4]), and living in Southwest China (40.3% [32.6\u0026ndash;48.0]). For men, the prevalence was higher among those with stroke (55.7% [15.0\u0026ndash;96.1]), who are married (21.2% [17.6\u0026ndash;24.7]), with low educational level (27.3% [18.8\u0026ndash;35.7]), and living in Northwest China (37.2% [22.2\u0026ndash;52.3]). Differences in prevalence were also shown in the subgroup analysis of residence and number of chronic diseases (\u003cstrong\u003eTable S6, Table S7\u003c/strong\u003e).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAfter weighing and adjusting the data, the weighted prevalence of LBP still showed the same trend, with crude prevalence (\u003cstrong\u003eFigure S1, Table S1\u003c/strong\u003e). The weighted prevalence by gender, residence, and chronic disease are listed in the Appendix (\u003cstrong\u003eTable S2, Table S3, TableS4\u003c/strong\u003e).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRelated Risk Factors of LBP\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMultivariable logistic regression showed that in the population with sarcopenia, LBP was significantly associated with diagnosed heart attack (OR 1.4, 95% CI [1.1-1.8], \u003cem\u003ep\u0026nbsp;\u003c/em\u003e= 0.005), kidney disease (1.8, [1.3\u0026ndash;2.5], \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001), gastrointestinal disease (1.6 [1.4-1.9]; \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001), arthritis or rheumatism (1.8 [1.5\u0026ndash;2.1], \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001), sleeping time of less than 5 h (2.1 [1.4\u0026ndash;3.1], \u003cem\u003ep\u003c/em\u003e = 0.001), rural residence (1.5 [1.2\u0026ndash;2.0], \u003cem\u003ep\u003c/em\u003e = 0.001), lower or higher educational level (illiterate: 1.6 [1.2\u0026ndash;2.2],\u003cem\u003e\u0026nbsp;p\u003c/em\u003e = 0.001; middle school and higher: 1.7 [1.3\u0026ndash;2.2], \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001), depression (3.2 [2.7\u0026ndash;3.9], \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001), IADL disability (1.7 [1.4\u0026ndash;2.1], \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001), and history of fall (1.6 [1.4\u0026ndash;2.0], \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001,\u003cstrong\u003e\u0026nbsp;Figure 2, Table S8\u003c/strong\u003e). For the possible sarcopenia population, LBP was associated with sleeping time of 6\u0026ndash;9 h (1.75 [1.1\u0026ndash;2.9], \u003cem\u003ep\u003c/em\u003e = 0.03) and child health condition (0.6 [0.4\u0026ndash;0.9], \u003cem\u003ep\u003c/em\u003e = 0.004). Moreover, for the population with confirmed sarcopenia, LBP was associated with ADL disability (1.9 [1.0\u0026ndash;3.4], \u003cem\u003ep\u003c/em\u003e = 0.036, \u003cstrong\u003eTable 3\u003c/strong\u003e). The results of univariate analyses and multivariate logistic regression for the subgroups of the sarcopenia population by gender, residence, and chronic disease are listed in the Appendix (\u003cstrong\u003eTable S9, Table S10, Table S11, Table S12, Table S13, Table S14, Table S15, Figure S2, Figure S3, Figure S4\u003c/strong\u003e).\u003c/p\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003ePrevious research mainly focused on the prevalence of sarcopenia among person with chronic diseases such as cancer, kidney dysfunction, and metabolic disorders \u003csup\u003e[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/sup\u003e. In this cross-sectional study, the first comprehensive assessment was performed to address the prevalence of chronic pain (LBP) among possible and confirmed sarcopenia groups and explore the associated factors among older Chinese population by using the national survey data of CHARLS. The findings showed large disparities in the prevalence of LBP between the sarcopenia and general populations and indicated that LBP is more common in Chinese older adult diagnosed with sarcopenia (24.2%). Regardless of the type of sarcopenia, the prevalence was higher in women, those living in rural areas, and those with chronic diseases. After adjusting for factors, the prevalence of confirmed sarcopenia remained higher than that of possible sarcopenia. This review also identified a range of lifestyle and health-related factors associated with LBP prevalence, such as history of fall, comorbidities, IADL disability, sleeping time, educational level, and residence, for possible and confirmed sarcopenia populations. These factors were analyzed by sex, residence, and chronic disease.\u003c/p\u003e \u003cp\u003eA previous study reported that the proportion of individuals with coexisting sarcopenia and pain (6.9%) who exhibited successful aging was lower than that of people with sarcopenia alone (8.5%)\u003csup\u003e[\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u003c/sup\u003e. The higher prevalence and risk consequence in sarcopenia population may be explained by physiological mechanisms. As defined by AWGS 2019, low muscle mass and low muscle strength are significantly associated with sarcopenia diagnosis. Cellular changes in sarcopenic muscle include a reduction in the size and number of myofibers; a change in satellite cell content, which particularly affects type II fibers; and intramuscular and intermuscular fat infiltration (myosteatosis) \u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]\u003c/sup\u003e. Neurological signaling and control mechanisms have an important role in the change of muscle function \u003csup\u003e[\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]\u003c/sup\u003e. Muscles, fascia, and ligaments in the lower back can be pain generators. Dysfunction of deep intrinsic (e.g., multifidus or rotators) and erector spinal muscles could potentially affect spinal mechanics and contribute to LBP \u003csup\u003e[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]\u003c/sup\u003e. Chronic LBP could be associated with atrophy and increased myoelectric activity. Macroscopically, muscle degeneration in LBP is characterized by a decrease in cross-sectional area and an increase in fat infiltration in the lumbar paraspinal muscles, which were considered as a sign of atrophy, especially in multifidus and paraspinal muscles \u003csup\u003e[\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]\u003c/sup\u003e. Besides, molecular changes in sarcopenic muscle involve alterations to the complex signaling pathway that includes insulin-like growth factor, endocrine factors induced by muscle contraction, inflammatory cytokine, chronic low-grade inflammation induced by oxidative stress, anabolic hormones, and transcription factors, and other interlinked pathways \u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]\u003c/sup\u003e. This phenomenon may be related to LBP caused by specific pathological inflammatory factors \u003csup\u003e[\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]\u003c/sup\u003e. Muscle pathology represents an underappreciated source of LBP \u003csup\u003e[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]\u003c/sup\u003e. Some mechanisms that may be involved in the development of LBP in sarcopenia population are unclear, thus needing further exploration.\u003c/p\u003e \u003cp\u003eThis study showed that the LBP prevalence varied across the four major regions in China, with the highest prevalence of 29.2% in the Northwest areas such as Xinjiang, Qinghai, and Gansu. However, two relatively large-sample studies in 2016 showed that the highest age-standardized point prevalence of LBP was in North China (Beijing) at 6.2% \u003csup\u003e[\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]\u003c/sup\u003e. The present study found that the prevalence of LBP in rural areas (26.02%) was significantly higher than that in urban areas (17.54%, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). However, previous data for globally population showed no difference in the prevalence of LBP between the two areas \u003csup\u003e[\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]\u003c/sup\u003e. Although comparing the results from these different studies is difficult because of the various measurement methods, diagnostic criteria, and study populations, differences in the prevalence of LBP between the general and sarcopenia populations can still be found. A previous study reported that age between 40 and 80 years contributes the most to the prevalence of LBP \u003csup\u003e[\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]\u003c/sup\u003e and the prevalence increases with age \u003csup\u003e[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]\u003c/sup\u003e. Notably, in the present study, detecting the age-related mechanisms with LBP in sarcopenia was difficult. The prevalence was highest among 45\u0026ndash;55 years of age, and it showed the characteristics of first decreasing and then increasing with the increase in age. First, the social expectations from them to continue working at 45\u0026ndash;55 years of age could lead to the increased burden of LBP \u003csup\u003e[\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]\u003c/sup\u003e. Second, the morbidity and mortality rates of sarcopenia increase with age, so the survival rate of person with LBP in the older population is an important factor affecting the morbidity results. However, considering that no weighted database on the demographics of sarcopenia in China is available, more research in this area is needed in the future. Sex-specific analysis found that the prevalence in females was higher than in males in this study, similar to the results of other previously published studies, which showed age-standardized point prevalence to be most common from middle aged to older women \u003csup\u003e[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eThe results showed 10 risk factors for LBP in sarcopenia, only one of which is unmodifiable, i.e., history of fall, which is similar to other previously published studies \u003csup\u003e[\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]\u003c/sup\u003e. Falling is accompanied by poor physical performance and musculoskeletal injury. Nine risk factors that are modifiable were found, including having comorbidities and depression, ADL and IADL disability, less sleeping time, low educational level, and living in rural areas. With respect to middle-aged and older adults, a study has suggested that multimorbidity, such as rheumatoid arthritis and osteoporosis, is correlated with the presence of sarcopenia \u003csup\u003e[\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]\u003c/sup\u003e. In the present study, chronic diseases, such as kidney disease, gastrointestinal disease, and arthritis or rheumatism, demonstrated an increased association with LBP. These comorbidities were closely related to changes in abdominal pressure and the release of joint inflammatory factors, which may increase the risk of LBP. At a psychological level, numerous studies have found that sarcopenia increases the risk of depression \u003csup\u003e[\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]\u003c/sup\u003e, which is also significantly associated with the occurrence of LBP in people with sarcopenia. LBP may result from depression-mediated susceptibility to dysphoric physical and psychological symptoms, which are related features of a vulnerability to heightened response to physical and/or psychological stressors\u003csup\u003e[\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]\u003c/sup\u003e. The present research found that sleep is an important risk factor. People who slept less than 5 h had almost two times the prevalence of LBP as those with 10 h of sleeping times in the possible sarcopenia group. Previous research has reported a significant association between short duration of sleep and high sarcopenia prevalence in older adults \u003csup\u003e[\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]\u003c/sup\u003e. Longer sleep may provide more spinal support and muscle relaxation for people with sarcopenia, and the prevalence of LBP may have resulted from overuse and frailty in sarcopenia. Similar to previous studies \u003csup\u003e[\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]\u003c/sup\u003e, the present study found that rural region had a higher prevalence rate of possible sarcopenia than urban region. This finding may be explained by the fact that the socioeconomic development in urban region may contribute to better public health with more timely and comprehensive intervention care. However, many rural older adult may suffer from heavy physical labor due to lower educational level, which, in turn, may increase the risk of injury. Besides, higher academic qualification is considered an independent risk factor for possible sarcopenia due to sedentary and unhealthy lifestyles. A protective factor of fair child health condition was found to be related to possible sarcopenia, may be due to increased concern and protection of health since childhood, indicating that earlier intervention makes their health in old age more secure. Comparison of the risk factors of LBP in confirmed sarcopenia and possible sarcopenia groups showed that LBP is mainly related to diseases and lifestyle, respectively. Controlling the above modifiable risk factors could allow for enhanced control of LBP in sarcopenia.\u003c/p\u003e \u003cp\u003eThis study has some strength and important implications for public health and health policies. First, this survey used a large sample size and a nationally representative database (CHARLS) under stringent quality control to investigate the prevalence and risk factors of LBP in Chinese older adult with sarcopenia. Second, the results were stratified by sex, residence, and number of comorbidities. These adjustments are important for the development of LBP prevention in sarcopenia population and control strategies across China.\u003c/p\u003e \u003cp\u003eThis research has some limitations. First, the study participants were limited to individuals who underwent health check-ups in CHARLS 2015. Therefore, the prevalence of LBP in this study may be underestimated in the older adults because of subject bias. Second, individuals with serious health disorders may have been less likely to participate in the CHARLS study, thus potentially limiting the generalizability of the findings. However, in view of the large sample size and diverse population characteristics, the effects on the generalizability of the findings could be minimal. Third, considering that that is a cross-sectional study, a causal relationship of the identified associated factors could not be established, and futures studies are needed to evaluate their predictive ability related to the outcomes. Forth, previous history of LBP was unknown, so all cases were determined as first occurrence after referencing the 2013 data.\u003c/p\u003e"},{"header":"CONCLUSION","content":"\u003cp\u003eThis cross-sectional survey showed that LBP was higher in sarcopenia population than in the general population in China, especially females, rural residents, and those with chronic disease. For the possible sarcopenia and confirmed sarcopenia groups, the significantly related risk factor included kidney disease, gastrointestinal disease, arthritis or rheumatism, depression, IADL disability, and history of fall.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eCHARLS, the China Health and Retirement Longitudinal Study; SD, standard deviation; CI, confidence interval; OR, odds ratio; ASM, appendicular skeletal muscle; H, height; BMI, body mass index; ADL, activities of daily living; IADL, instrumental activity of daily living.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study was approved by the ethical review committee (IRB) of Peking University (China Health and Retirement Longitudinal Study [IRB00001052-11015]). Written informed consent was obtained from all study participants.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eData will be made available on request. The datasets can be downloaded at http://charls.pku.edu.cn/en. Please contact the corresponding author (Pro. Wang) for\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003ethe data request.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by the National Natural Science Foundation of China (grant number 82372578).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo;\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003ec\u003c/strong\u003e\u003cstrong\u003eontributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eConception, X.-Q.W.; interpretation of data and drafted the work, W.-Y.X. and L.T.; interpretation of data, W.-Y.X., L.T. and Y.-W.B.; writing\u0026mdash;review and editing, X.J. and Y.-N.Z.; supervision, X.B and X.-Q.W. All authors have read and agreed to the published version of the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study is conducted under the China Health and Retirement Longitudinal Study (CHARLS) Resource. We want to express our sincere gratitude to all associated researchers of CHARLS. We thank all the participants and researchers involved in the publications cited in this manuscript and peer reviewers who contributed to the continuous improvement of this study.\u0026nbsp;\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eCruz-Jentoft AJ, Sayer AA, Sarcopenia. Lancet (London England). 2019;393(10191):2636\u0026ndash;46.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCruz-Jentoft AJ, Bahat G, Bauer J, et al. Sarcopenia: revised European consensus on definition and diagnosis. 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Spine. 2006;31(23):2728\u0026ndash;34.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable 1 Baseline characteristics of participants by sarcopenia status in CHARLS 2015\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOverall\u003cbr\u003e\u0026nbsp;N=8113\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e\u003cstrong\u003eNon- Sarcopenia\u003cbr\u003e\u0026nbsp;N=\u003c/strong\u003e \u003cstrong\u003e3591\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u003cstrong\u003ePossible Sarcopenia\u003cbr\u003e\u0026nbsp;N=\u003c/strong\u003e \u003cstrong\u003e3227\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u003cstrong\u003eConfirmed Sarcopenia\u003cbr\u003e\u0026nbsp;N=\u003c/strong\u003e \u003cstrong\u003e1295\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\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=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eGender, Female\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e4385 (54.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e1898 (52.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1777 (55.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e710 (54.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e0.155\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge (y)\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e61.3 (8.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e55.277 (6.360)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e64.810 (7.108)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e69.414 (7.921)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHeight (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e158.0 (8.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e159.671 (8.076)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e157.595 (8.152)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e154.383 (8.939)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eWeight (kg)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e59.8 (11.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e62.032 (11.063)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e62.663 (9.680)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e46.513 (5.560)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eBMI (kg/\u003c/strong\u003e\u003cstrong\u003e㎡\u003c/strong\u003e\u003cstrong\u003e)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e23.9 (3.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e24.275 (3.603)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e25.220 (3.378)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e19.517 (1.727)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eChronic Diseases (number)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e2442 (30.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e1351 (37.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e752 (23.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e339 (26.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e2264 (27.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e1039 (28.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e869 (26.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e356 (27.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e1663 (20.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e641 (17.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e721 (22.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e301 (23.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e890 (11.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e315 (8.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e431 (13.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e144 (11.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026ge;4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e854 (10.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e245 (6.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e454 (14.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e155 (12.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHypertension, Yes\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e1977 (24.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e651 (18.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1063 (32.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e263 (20.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDyslipidemia, Yes\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e854 (10.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e329 (9.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e456 (14.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e69 (5.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDiabetes or High Blood Sugar, Yes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e495 (6.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e175 (4.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e259 (8.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e61 (4.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCancer, Yes\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e88 (1.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e36 (1.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e33 (1.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e19 (1.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e0.349\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLung Diseases, Yes\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e911 (11.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e304 (8.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e391 (12.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e216 (16.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLiver Disease, Yes\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e391 (4.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e156 (4.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e169 (5.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e66 (5.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e0.201\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHeart Attack, Yes\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e1015 (12.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e325 (9.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e536 (16.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e154 (11.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eStroke, Yes\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e150 (1.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e37 (1.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e84 (2.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e29 (2.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eKidney Disease, Yes\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e587 (7.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e212 (5.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e273 (8.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e102 (7.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eStomach, Yes\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e2163 (26.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e889 (24.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e850 (26.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e424 (32.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePsychiatric Problems, Yes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e100 (1.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e30 (0.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e47 (1.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e23 (1.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMemory-related Disease, Yes\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e104 (1.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e16 (0.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e63 (2.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e25 (1.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eArthritis or Rheumatism, Yes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e3109 (38.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e1141 (31.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1390 (43.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e578 (44.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAsthma, Yes\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e334 (4.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e92 (2.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e154 (4.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e88 (6.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePhysical Disabilities, No\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e7879 (97.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e3507 (97.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e3116 (96.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1256 (97.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e0.024\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eBody Pains Present\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eNeck\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e834 (10.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e295 (8.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e382 (11.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e157 (12.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eBack\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e928 (11.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e317 (8.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e416 (12.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e195 (15.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eWaist\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e1683 (20.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e589 (16.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e757 (23.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e337 (26.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eButtocks\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e834 (10.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e166 (4.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e231 (7.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e106 (8.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTreatment for Pain, No\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e616 (24.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e234 (26.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e260 (23.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e122 (25.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e0.525\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSleeping Time\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026le;5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e2400 (29.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e904 (25.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1012 (31.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e484 (37.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e6~9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e5312 (65.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e2541 (70.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e2038 (63.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e733 (56.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026ge;10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e401 (4.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e146 (4.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e177 (5.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e78 (6.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSmoke, No\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e4634 (57.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e2096 (58.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1862 (57.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e676 (52.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDrink, No\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e5340 (65.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e2229 (62.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e2221 (68.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e890 (68.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eResidence, Rural\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e6252 (77.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\" valign=\"top\"\u003e\n \u003cp\u003e2705 (75.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\" valign=\"top\"\u003e\n \u003cp\u003e2428 (75.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\" valign=\"top\"\u003e\n \u003cp\u003e1119 (86.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMartial Status, Divorced and Others\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e980 (12.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e204 (5.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e497 (15.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e279 (21.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eEducation\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eIlliterate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e2052 (25.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e558 (15.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e988 (30.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e506 (39.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003ePrimary school and less\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e2655 (32.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e1706 (47.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e768 (23.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e181 (14.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eMiddle school and higher\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e3406 (42.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e1327 (37.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1471 (45.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e608 (46.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDepression, Yes\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e1140 (14.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e397 (11.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e505 (15.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e238 (18.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eADL, Disability\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e385 (4.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e65 (1.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e213 (6.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e107 (8.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eIADL, Disability\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e1525 (18.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e310 (8.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e794 (24.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e421 (32.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHistory of Fall, No\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e6717 (82.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e3111 (86.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e2578 (79.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1028 (79.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePhysical Activity, No\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e483 (11.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e187 (10.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e198 (12.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e98 (15.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSocial Activity, No\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e3686 (45.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e1447 (40.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1541 (47.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e698 (53.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eInsurance, No\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e746 (9.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e309 (8.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e289 (9.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e148 (11.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eWork Status\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eCurrently Not Working\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\" valign=\"top\"\u003e\n \u003cp\u003e2163 (26.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\" valign=\"top\"\u003e\n \u003cp\u003e596 (16.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\" valign=\"top\"\u003e\n \u003cp\u003e1115 (34.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\" valign=\"top\"\u003e\n \u003cp\u003e452 (34.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eNever Worked\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\" valign=\"top\"\u003e\n \u003cp\u003e56 (0.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\" valign=\"top\"\u003e\n \u003cp\u003e17 (0.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\" valign=\"top\"\u003e\n \u003cp\u003e33 (1.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\" valign=\"top\"\u003e\n \u003cp\u003e6 (0.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eWorking\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\" valign=\"top\"\u003e\n \u003cp\u003e5894 (72.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\" valign=\"top\"\u003e\n \u003cp\u003e2978 (82.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\" valign=\"top\"\u003e\n \u003cp\u003e2079 (64.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\" valign=\"top\"\u003e\n \u003cp\u003e837 (64.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eIncome, CNY\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026le;1000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e620 (20.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e139 (9.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e310 (28.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e171 (34.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e1000~5000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e612 (20.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e204 (14.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e263 (24.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e145 (29.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e5000~10000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e455 (15.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e245 (17.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e150 (13.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e60 (12.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e10000~20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e580 (19.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e316 (22.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e192 (17.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e72 (14.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e＞20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e724 (24.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e501 (35.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e179 (16.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e44 (8.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHealth Status\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eVery good\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\" valign=\"top\"\u003e\n \u003cp\u003e924 (11.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e492 (13.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e337 (10.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e95 (7.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eGood\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\" valign=\"top\"\u003e\n \u003cp\u003e887 (10.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e433 (12.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e339 (10.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e115 (8.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eFair\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\" valign=\"top\"\u003e\n \u003cp\u003e4275 (52.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e1998 (55.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1619 (50.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e658 (50.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003ePoor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\" valign=\"top\"\u003e\n \u003cp\u003e2027 (25.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e668 (18.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e932 (28.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e427 (33.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eChild Health Condition\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eExcellent\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e884 (10.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e405 (11.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e355 (11.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e124 (9.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eVery good\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e3258 (40.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e1526 (42.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1301 (40.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e431 (33.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eGood\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e1571 (19.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e697 (19.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e608 (18.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e266 (20.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eFair\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e1865 (23.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e781 (21.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e736 (22.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e348 (26.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003ePoor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e535 (6.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e182 (5.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e227 (7.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e126 (9.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHealth Satisfaction\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eVery satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e2061 (25.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e874 (24.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e822 (25.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e365 (28.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eSomewhat satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e4006 (49.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e1881 (52.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1544 (47.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e581 (44.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eNot very satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e2046 (25.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e836 (23.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e861 (26.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e349 (26.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLife Satisfaction\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eCompletely satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e507 (6.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e208 (5.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e201 (6.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e98 (7.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eVery satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e3018 (37.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e1347 (37.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1208 (37.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e463 (35.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eSomewhat satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e3957 (48.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e1753 (48.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1577 (48.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e627 (48.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eNot very satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e501 (6.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e238 (6.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e186 (5.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e77 (5.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eNot at all satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e130 (1.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e45 (1.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e55 (1.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e30 (2.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSatisfaction Health Care\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eVery satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e1348 (16.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e487 (13.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e581 (18.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e280 (21.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eSomewhat satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e2028 (25.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e821 (22.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e853 (26.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e354 (27.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eNeutral\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e3177 (39.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e1555 (43.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1170 (36.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e452 (34.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eSomewhat dissatisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e1003 (12.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e482 (13.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e393 (12.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e128 (9.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eVery dissatisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e557 (6.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e246 (6.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e230 (7.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e81 (6.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eArea\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eCentral China\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e1356 (16.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e652 (18.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e494 (15.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e210 (16.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eEast China\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e2574 (31.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e1124 (31.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e1043 (32.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e407 (31.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eNorth China\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e978 (12.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e441 (12.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e443 (13.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e94 (7.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eNortheast\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e581 (7.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e255 (7.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e257 (8.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e69 (5.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eNorthwest\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e658 (8.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e270 (7.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e291 (9.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e97 (7.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eSouth China\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e615 (7.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e295 (8.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e198 (6.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e122 (9.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003eSouthwest\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e1351 (16.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e554 (15.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e501 (15.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e296 (22.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHandgrip (kg)\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e29.4 (9.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e33.432 (8.767)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e27.198 (9.583)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e23.687 (8.890)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eWalking Speed (s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e1.5 (8.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e5.775 (21.565)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e0.843 (2.903)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e0.817 (3.575)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eStand-up Test (s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e9.2 (3.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e7.823 (2.087)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e10.297 (4.310)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e10.352 (4.768)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eWaist Circumference (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e85.3 (13.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e85.893 (12.886)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e89.088 (12.828)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e73.990 (12.327)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eASM/H\u003csup\u003e2\u003c/sup\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e6.8 (1.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e6.988 (1.090)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e6.992 (1.956)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e5.716 (0.960)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eC-Reactive Protein (mg/l)\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e2.6 (5.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e2.259 (4.688)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e2.781 (4.675)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e3.076 (7.775)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.057803468208093%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHemoglobin (g/dl)\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.583815028901734%\"\u003e\n \u003cp\u003e13.5 (2.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.77456647398844%\"\u003e\n \u003cp\u003e13.732 (2.372)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e13.666 (2.251)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.028901734104046%\"\u003e\n \u003cp\u003e12.707 (2.766)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.526011560693641%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eData are shown as means (SD) for continuous variables and numbers (percentages) for categorical variables.\u003c/p\u003e\n\u003cp\u003ey, year; cm, centimeter; kg, kilogram; BMI, body mass index; ADL, activities of daily living; IADL, instrumental activity of daily living; CNY, China Yuan; ASM/H\u003csup\u003e2\u003c/sup\u003e, height-adjusted muscle mass; s, second.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2 Prevalence of low back pain in the Sarcopenia population aged 45 years or older\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv align=\"\"\u003e\n \u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"717\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e \u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003eNon-Sarcopenia n=3590\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOverall\u003cbr\u003e\u0026nbsp;n=4522\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003ePossible Sarcopenia\u003cbr\u003e\u0026nbsp;n=3227\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u003cstrong\u003eConfirmed\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;Sarcopenia\u003cbr\u003e\u0026nbsp;n=1295\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eGender\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eMale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e10.40% (8.94-11.85)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.43% (16.74-20.11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e17.38% (15.43-19.33)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e21.03% (17.71-24.34)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eFemale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e21.76% (19.90-23.62)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e28.91% (27.13-30.69)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e28.42% (26.32-30.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e30.14% (26.76-33.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e45-55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.82% (15.14-18.50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e26.97% (21.96-31.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e26.22% (20.91-31.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e32.43% (16.61-48.26)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e55-65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.43% (14.46-18.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.46% (21.47-25.46)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.50% (21.28-25.72)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e23.30% (18.78-27.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u0026ge;65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e13.80% (10.04-17.57)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e24.36% (22.67-26.06)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.95% (20.86-25.04)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e26.77% (23.90-29.64)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.396\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.401\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.5072\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.3083\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eBMI\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eUnderweight\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e19.05% (12.10-26.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e27.71% (23.00-32.43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e27.51% (22.80-32.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNormal Weight\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.72% (14.91-18.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.94% (22.1825.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.85% (20.59-25.11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e25.48% (22.69-28.27)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eOverweight\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.94% (14.26-17.62)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.85% (21.93-25.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.84% (21.92-25.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e25.00% (-13.70-63.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.5915\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.277\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.158\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.761\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eChronic Diseases\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e9.40% (7.84-10.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e13.02% (11.02-15.02)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e12.37% (10.01-14.73)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e14.45% (10.69-18.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.69% (13.47-17.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.29% (16.12-20.45)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e17.84% (15.29-20.39)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e19.38% (15.26-23.51)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e21.37% (18.19-24.55)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e26.32% (23.62-29.03)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e26.21% (23.00-29.43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e26.58% (21.56-31.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e24.44% (19.67-29.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e32.35% (28.51-36.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e29.00% (24.70-33.30)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e42.36% (34.19-50.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u0026ge;4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e34.69% (28.69-40.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e44.83% (40.87-48.79)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e42.95% (38.38-47.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e50.32% (42.36-58.28)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eHypertension\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e17.36% (14.44-20.28)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e27.30% (24.90-29.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e26.25% (23.60-28.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e31.56% (25.91-37.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.19% (14.86-17.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.90% (21.45-24.36)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.09% (20.34-23.84)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e24.61% (21.98-27.24)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.4668\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.0088\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.0219\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eDyslipidemia\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e14.89% (11.03-18.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e27.81% (23.96-31.65)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e27.63% (23.51-31.75)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e28.99% (18.01-39.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.55% (15.28-17.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.72% (22.4025.04)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.77% (21.21-24.33)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e25.86% (23.40-28.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.4383\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.040\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.0232\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.5647\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"61.59217877094972%\" colspan=\"4\"\u003e\n \u003cp\u003e\u003cstrong\u003eDiabetes or High Blood Sugar\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.99441340782123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.41340782122905%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e21.71% (15.55-27.88)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e29.06% (24.06-34.06)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e28.96% (23.40-34.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e29.51% (17.73-41.29)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.13% (14.90-17.36)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.82% (22.53-25.11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.98% (21.46-24.49)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e25.85% (23.40-28.30)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.0517\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.035\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.0294\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.526\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eCancer\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e25.00% (10.14-39.86)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e34.62% (21.24-47.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e30.30% (13.75-46.85)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e42.11% (17.66-66.55)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.32% (15.10-17.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e24.07% (22.82-25.33)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.39% (21.92-24.86)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e25.78% (23.38-28.19)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.1615\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.078\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.3511\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.108\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eLung Diseases\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e24.34% (19.49-29.19)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e34.10% (30.32-37.88)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e31.71% (27.08-36.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e38.43% (31.89-44.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.67% (14.42-16.91)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.66% (21.34-23.97)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.32% (20.79-23.85)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e23.54% (21.00-26.08)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.0001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eLiver Disease\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e28.21% (21.07-35.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e35.32% (29.16-41.47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e33.14% (25.97-40.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e40.91% (28.73-53.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.87% (14.64-17.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.58% (22.31-24.85)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.92% (21.43-24.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e25.22% (22.79-27.66)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.0023\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eHeart Attack\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e25.85% (21.06-30.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e36.96% (33.35-40.57)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e35.63% (31.57-39.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e41.56% (33.69-49.43)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.46% (14.22-16.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e21.89% (20.58-23.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e21.03% (19.49-22.57)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e23.93% (21.45-26.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eStroke\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e24.32% (9.82-38.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e33.63% (24.78-42.47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e27.38% (17.65-37.12)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e51.72% (32.38-71.07)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.32% (15.10-17.54)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.95% (22.69-25.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.35% (21.87-24.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e25.43% (23.03-27.84)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.1909\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.018\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.3901\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"21.64804469273743%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eKidney Disease\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.944134078212294%\" colspan=\"3\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.99441340782123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.41340782122905%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e30.19% (23.96-36.42)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e43.20% (38.16-48.24)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e41.03% (35.15-46.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e49.02% (39.15-58.89)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.54% (14.32-16.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.47% (21.20-23.75)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e21.83% (20.34-23.33)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e24.06% (21.63-26.49)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eStomach\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e25.76% (22.88-28.64)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e36.19% (33.54-38.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e36.12% (32.88-39.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e36.32% (31.72-40.92)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e13.32% (12.04-14.61)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e19.49% (18.13-20.85)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.93% (17.36-20.51)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e21.01% (18.30-23.72)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"61.59217877094972%\" colspan=\"4\"\u003e\n \u003cp\u003e\u003cstrong\u003ePsychiatric Problems\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.99441340782123%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.41340782122905%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e40.00% (21.39-58.61)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e40.00% (28.23-51.77)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e38.30% (23.87-52.73)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e43.48% (21.56-65.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.20% (14.99-17.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.94% (22.69-25.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.24% (21.77-24.71)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e25.71% (23.30-28.11)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.0156\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.054\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"61.59217877094972%\" colspan=\"4\"\u003e\n \u003cp\u003e\u003cstrong\u003eMemory-related Disease\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.99441340782123%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.41340782122905%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e25.00% (1.17-48.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e34.09% (23.99-44.19)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e38.10% (25.77-50.42)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e24.00% (6.01-41.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.36% (15.15-17.58)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e24.00% (22.74-25.25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.17% (21.70-24.64)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e26.06% (23.65-28.48)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.3521\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.029\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.0056\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.816\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"61.59217877094972%\" colspan=\"4\"\u003e\n \u003cp\u003e\u003cstrong\u003eArthritis or Rheumatism\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.99441340782123%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.41340782122905%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e28.22% (25.61-30.84)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e35.06% (32.95-37.17)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e34.32% (31.82-36.82)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e36.85% (32.91-40.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e10.90% (9.66-12.13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.82% (14.40-17.23)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.24% (13.60-16.89)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e17.29% (14.52-20.07)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eAsthma\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e26.09% (16.94-35.23)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e32.23% (26.30-38.16)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e28.57% (21.36-35.79)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e38.64% (28.26-49.01)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.15% (14.93-17.37)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.74% (22.46-25.01)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.20% (21.71-24.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e25.10% (22.65-27.55)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.011\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.125\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"21.64804469273743%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePhysical Disabilities\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.944134078212294%\" colspan=\"3\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.99441340782123%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.41340782122905%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e27.38% (17.65-37.12)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e39.33% (31.43-47.24)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e36.94% (27.82-46.06)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e46.15% (29.78-62.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.14% (14.92-17.36)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.67% (22.41-24.93)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.98% (21.50-24.46)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e25.40% (22.99-27.81)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"21.64804469273743%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eBody Pains Present\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.944134078212294%\" colspan=\"3\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.99441340782123%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.41340782122905%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eNeck\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e82.03% (77.63-86.44)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e85.71% (82.75-88.68)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e84.55% (80.91-88.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e88.54% (83.50-93.57)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e10.53% (9.48-11.58)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.87% (14.73-17.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.25% (13.93-16.58)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e17.40% (15.19-19.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eBack\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e84.23% (80.19-88.26)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e86.25% (83.51-88.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e86.30% (82.98-89.62)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e86.15% (81.26-91.04)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e9.84% (8.81-10.86)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e14.50% (13.39-15.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e14.16% (12.87-15.45)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e15.36% (13.23-17.50)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eButtocks\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e88.55% (83.66-93.45)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e91.39% (88.39-94.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e91.77% (88.21-95.34)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e90.57% (84.91-96.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e12.91% (11.78-14.03)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.78% (17.60-19.97)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.19% (16.81-19.57)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e20.27% (17.98-22.56)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eSleeping Time (h)\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u0026le;5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e26.88% (23.99-29.78)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e34.76% (32.34-37.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e35.08% (32.13-38.02)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e34.09% (29.85-38.33)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e6~9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e13.18% (11.87-14.50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e19.16% (17.70-20.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.45% (16.76-20.13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e21.15% (18.18-24.11)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u0026ge;10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e7.53% (3.20-11.87)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.86% (12.24-21.49)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e14.69% (9.42-19.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e21.79% (12.43-31.16)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eSmoke\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e12.98% (11.27-14.68)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e20.46% (18.69-22.24)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e19.05% (16.96-21.13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e23.59% (20.23-26.94)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.85% (17.17-20.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e27.11% (25.38-28.84)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e26.69% (24.68-28.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e28.25% (24.85-31.66)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.056\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eDrink\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e13.73% (11.90-15.56)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e21.12% (18.99-23.25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e19.48% (17.03-21.93)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e25.19% (20.94-29.43)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.03% (16.44-19.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e25.59% (24.05-27.12)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e25.26% (23.45-27.07)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e26.40% (23.50-29.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.643\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eResidence\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eUrban\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e11.96% (9.82-14.10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e17.54% (15.15-19.93)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.77% (14.17-19.37)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e21.02% (14.94-27.10)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eRural\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e17.86% (16.41-19.30)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e26.02% (24.58-27.47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e25.66% (23.92-27.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e26.81% (24.21-29.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.104\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eMarital Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eMarried with Spouse\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.91% (14.68-17.15)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.44% (22.08-24.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.19% (21.60-24.77)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e24.11% (21.48-26.75)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eDivorced and others\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e24.51% (18.56-30.46)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e27.84% (24.67-31.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e24.95% (21.13-28.77)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e32.97% (27.42-38.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.0013\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.3938\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eEducation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eIlliterate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.22% (18.76-25.68)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e29.32% (27.01-31.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e28.95% (26.11-31.78)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e30.04% (26.03-34.05)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eMiddle school and higher\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e11.43% (9.92-12.94)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e13.59% (11.41-15.78)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e13.41% (11.00-15.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e14.36% (9.21-19.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003ePrimary school and less\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e20.35% (18.18-22.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e25.35% (23.48-27.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e25.02% (22.80-27.23)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e26.15% (22.65-29.65)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eHealth Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eVery good\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e2.44% (1.07-3.81)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e3.47% (1.74-5.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e3.56% (1.57-5.55)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e3.16% (-0.42-6.74)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eGood\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e4.16% (2.27-6.04)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e9.25% (6.58-11.93)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e8.55% (5.56-11.55)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e11.30% (5.43-17.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eFair\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e13.71% (12.20-15.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.88% (17.28-20.49)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.28% (16.40-20.17)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e20.36% (17.28-23.45)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003ePoor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e42.66% (38.90-46.42)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e44.67% (42.02-47.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e45.06% (41.86-48.26)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e43.79% (39.07-48.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eDepression\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e42.57% (37.68-47.45)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e53.84% (50.24-57.43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e53.66% (49.30-58.03)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e54.20% (47.83-60.58)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e13.15% (11.98-14.32)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.36% (17.13-19.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e17.85% (16.41-19.29)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e19.68% (17.28-22.08)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eADL\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.88% (14.68-17.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.61% (21.34-23.87)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.06% (20.58-23.54)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e23.99% (21.56-26.42)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e44.62% (32.20-57.03)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e45.00% (39.52-50.48)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e43.19% (36.49-49.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e48.60% (38.97-58.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eIADL\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e14.45% (13.24-15.65)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.57% (17.24-19.89)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.17% (16.63-19.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e19.68% (17.04-22.32)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e37.10% (31.69-42.50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e39.51% (36.75-42.26)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e39.67% (36.26-43.08)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e39.19% (34.51-43.87)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eHistory\u0026nbsp;of\u0026nbsp;Fall\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e29.38% (25.29-33.46)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e38.32% (35.16-41.47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e38.06% (34.31-41.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e38.95% (33.06-44.84)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e14.40% (13.17-15.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e20.60% (19.28-21.93)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e19.78% (18.24-21.32)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e22.67% (20.10-25.23)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eSocial Activity\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.86% (14.31-17.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.00% (21.27-24.72)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.72% (20.71-24.72)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e23.79% (20.36-27.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e17.21% (15.26-19.16)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e25.41% (23.61-27.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e24.27% (22.13-26.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e27.94% (24.60-31.27)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.2841\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.058\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.2984\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.090\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eInsurance\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.94% (15.66-18.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e24.16% (22.85-25.47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.62% (22.08-25.16)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e25.54% (23.02-28.07)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e10.68% (7.22-14.14)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e24.49% (20.44-28.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e21.80% (17.01-26.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e29.73% (22.28-37.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.0045\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.881\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.4856\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.275\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eWork Status\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eCurrently Not Working\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e17.28% (14.24-20.33)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e24.06% (21.94-26.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.86% (21.35-26.36)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e24.56% (20.57-28.54)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNever Worked\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e17.65% (-2.56-37.85)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e20.51% (7.25-33.77)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e21.21% (6.49-35.93)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e16.67% (-26.18-59.51)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eWorking\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.22% (14.89-17.54)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e24.31% (22.76-25.87)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.28% (21.46-25.10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e26.88% (23.87-29.89)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.8073\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.849\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.8924\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.578\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eChild Health Condition\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eExcellent\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e14.07% (10.67-17.48)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e29.02% (24.94-33.10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e29.86% (25.08-34.64)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e26.61% (18.73-34.50)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eVery good\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.01% (13.21-16.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.11% (20.16-24.07)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.21% (19.95-24.48)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e21.81% (17.90-25.72)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eGood\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e20.23% (17.24-23.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e25.74% (22.84-28.65)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e25.49% (22.02-28.97)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e26.32% (20.99-31.64)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eFair\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e14.85% (12.35-17.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e21.49% (19.05-23.94)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.61% (15.80-21.43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e27.59% (22.87-32.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003ePoor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e25.27% (18.90-31.65)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e32.29% (27.39-37.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e30.84% (24.78-36.89)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e34.92% (26.48-43.36)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.047\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eHealth Satisfaction\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eVery satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e9.15% (7.24-11.07)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e14.24% (12.25-16.23)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e13.75% (11.39-16.11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e15.34% (11.63-19.06)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eSomewhat satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e10.90% (9.49-12.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.02% (16.39-19.66)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e17.03% (15.16-18.91)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e20.65% (17.35-23.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNot very satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e36.36% (33.10-39.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e44.79% (41.99-47.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e44.25% (40.93-47.58)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e46.13% (40.88-51.39)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eLife Satisfaction\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eCompletely satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e10.58% (6.36-14.79)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.72% (12.47-20.98)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e16.92% (11.69-22.14)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e16.33% (8.88-23.77)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eVery satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e11.80% (10.08-13.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.07% (16.23-19.92)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e18.21% (16.03-20.39)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e17.71% (14.22-21.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eSomewhat satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e17.97% (16.17-19.77)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e25.68% (23.86-27.51)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e24.41% (22.29-26.54)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e28.87% (25.31-32.42)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNot very satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e30.25% (24.37-36.13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e50.95% (44.87-57.03)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e48.92% (41.67-56.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e55.84% (44.50-67.19)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNot at all satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e46.67% (31.51-61.82)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e49.41% (38.56-60.26)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e49.09% (35.45-62.73)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e50.00% (31.01-68.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"21.64804469273743%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSatisfaction Health Care\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.944134078212294%\" colspan=\"3\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.99441340782123%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.41340782122905%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eVery satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e14.99% (11.81-18.17)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e20.79% (18.07-23.51)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e19.62% (16.38-22.86)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e23.21% (18.24-28.19)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eSomewhat satisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e14.49% (12.08-16.91)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.70% (21.29-26.10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.45% (20.60-26.30)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e24.29% (19.80-28.78)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNeutral\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.69% (13.88-17.50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.56% (20.53-24.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e21.97% (19.59-24.34)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e24.12% (20.16-28.07)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eSomewhat dissatisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e20.75% (17.11-24.38)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e29.94% (26.00-33.89)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e28.75% (24.26-33.25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e33.59% (25.30-41.89)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eVery dissatisfied\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e21.54% (16.37-26.72)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e34.41% (29.10-39.71)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e31.74% (25.68-37.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e41.98% (30.99-52.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eArea\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eCentral China\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.80% (12.99-18.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.01% (19.89-26.13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e20.45% (16.88-24.01)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e29.05% (22.86-35.24)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eEast China\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e13.70% (11.69-15.71)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e21.52% (19.40-23.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e21.76% (19.26-24.27)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e20.88% (16.92-24.85)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNorth China\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.87% (12.45-19.30)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.65% (20.04-27.26)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e25.06% (21.01-29.11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e17.02% (9.28-24.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eSouth China\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e15.69% (11.19-20.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e21.25% (16.74-25.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e20.71% (15.01-26.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e22.13% (14.66-29.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNortheast\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e19.26% (14.53-23.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.70% (18.13-27.27)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e22.57% (17.42-27.71)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e23.19% (12.98-33.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eNorthwest\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e13.22% (9.33-17.11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e30.67% (26.06-35.28)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e29.21% (23.95-34.47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e35.05% (25.39-44.72)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eSouthwest\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e23.65% (20.10-27.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e29.11% (25.95-32.27)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e26.75% (22.86-30.64)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e33.11% (27.72-38.50)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.496503496503497%\" colspan=\"2\"\u003e\n \u003cp\u003eP for difference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.02097902097902%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.44055944055944%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eData are shown as percentages (95%CI). BMI, body mass index; ADL, activities of daily living; IADL, instrumental activity of daily living. 95% CI could not be calculated when the prevalence was equal to 0 or 1.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3 Multivariate analyses for low back pain associated with risk factors in the Sarcopenia population aged 45 years or older\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv align=\"\"\u003e\n \u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.72727272727273%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003ePossible sarcopenia\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"30.90909090909091%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eConfirmed Sarcopenia\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\"\u003e\n \u003cp\u003eOR\u003cbr\u003e\u0026nbsp;(95%CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\"\u003e\n \u003cp\u003eP value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\"\u003e\n \u003cp\u003eOR\u003cbr\u003e\u0026nbsp;(95%CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\"\u003e\n \u003cp\u003eP value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eGender (Female)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.20(0.85-1.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.303\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e1.26(0.76-2.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.365\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHypertension (Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.94(0.75-1.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.588\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e0.94(0.64-1.37)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.740\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDyslipidemia (Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.03(0.76-1.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.836\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDiabetes or High Blood Sugar (Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.31(0.89-1.92)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.172\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCancer (Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;2.56(0.83-7.88)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.100\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLung Diseases (Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.15(0.82-1.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.422\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e1.38(0.92-2.05)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.116\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLiver Disease (Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;1.82(0.99-3.36)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.054\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHeart Attack (Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.31(0.99-1.73)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.055\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;1.55(0.98-2.47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.062\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eStroke (Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e2.23(0.95-5.23)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.065\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eKidney Disease\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;(Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.82(1.23-2.68)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.003\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e1.94(1.15-3.27)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.012\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eStomach (Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.66(1.33-2.08)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;1.50(1.08-2.06)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.014\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePsychiatric Problems (Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.21(0.61-2.43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.584\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;0.98(0.28-3.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.978\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMemory Related Disease (Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.55(0.91-2.66)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.107\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eArthritis or Rheumatism\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;(Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.76(1.42-2.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e1.78(1.30-2.44)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAsthma (Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.01(0.62-1.65)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.963\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e1.24(0.71-2.16)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.453\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePhysical Disabilities (Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.45(0.91-2.30)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.116\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e1.21(0.50-2.93)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.679\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSleeping Time\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026le;5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e2.65(1.60-4.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;1.44(0.73-2.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.295\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e6~9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.75(1.06-2.87)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.028\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;0.91(0.47-1.78)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.791\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026ge;10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSmoke (Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.86(0.63-1.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.354\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;1.27(0.79-2.05)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.320\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDrink (Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.04(0.81-1.34)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.746\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eResidence (Rural)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.55(1.16-2.08)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.003\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;1.38(0.83-2.29)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.219\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"69.03460837887067%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMarital Status (Divorced and others)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.58287795992714%\"\u003e\n \u003cp\u003e1.37(0.95-2.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.382513661202186%\"\u003e\n \u003cp\u003e0.096\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eEducation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003eIlliterate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.61(1.15-2.26)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.006\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e1.59(0.83-3.06)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.166\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003ePrimary school and less\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003eMiddle school and higher\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.69(1.25-2.28)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;1.69(0.92-3.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.089\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDepression (Yes)\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e3.29(2.54-4.27)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e2.87(2.01-4.12)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eADL (disability)\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.16(0.75-1.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.497\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;1.87(1.04-3.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.036\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eIADL (disability)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.80(1.39-2.34)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e1.55(1.07-2.24)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.020\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHistory\u0026nbsp;of\u0026nbsp;Fall\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;(Yes)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e1.76(1.39-2.24)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e1.47(1.02-2.11)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.040\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSocial Activity (No)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e1.19(0.87-1.62)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.273\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eChild Health Condition\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003eExcellent\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003eVery good\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.87(0.62-1.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.413\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e0.76(0.41-1.39)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.370\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003eGood\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.80(0.55-1.16)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.243\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e0.93(0.50-1.74)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.826\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003eFair\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.58(0.40-0.84)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.004\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e0.90(0.49-1.64)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.726\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003ePoor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.84(0.53-1.36)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.484\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e1.39(0.70-2.77)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.351\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eWork Status\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003eCurrently Not Working\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e2.30(0.78-6.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.131\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003eNever Worked\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.36363636363637%\" valign=\"top\"\u003e\n \u003cp\u003eWorking\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e2.56(0.87-7.54)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e0.088\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.545454545454547%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.363636363636363%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eNote: Ref, Reference;\u0026nbsp;OR, odds ratio; CI, confidence interval;\u0026nbsp;ADL, activities of daily living; IADL, instrumental activity of daily living.\u003c/p\u003e\n\u003cp\u003eThe multivariate regression model included those variables with p \u0026lt; 0.20 during the respective univariate analyses. P value for categorical variables with multiple levels were based on linear trend tests.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\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":"bmc-public-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pubh","sideBox":"Learn more about [BMC Public Health](http://bmcpublichealth.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/pubh/default.aspx","title":"BMC Public Health","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Epidemiology, Low Back Pain, Sarcopenia","lastPublishedDoi":"10.21203/rs.3.rs-4134269/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4134269/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eObjectives\u003c/h2\u003e \u003cp\u003eThis study aimed to clarify the prevalence and associated factors of lower back pain (LBP) in sarcopenia population aged 45 years or older by using a large and diverse cross-sectional dataset.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eIn this national study, data on 8113 participants from CHARLS 2015 were analyzed. The prevalence of LBP was investigated, and multivariable logistic regression analyses were performed to identify factors associated with LBP in sarcopenia population.\u003c/p\u003e\u003ch2\u003eFindings:\u003c/h2\u003e \u003cp\u003eThe prevalence of LBP was 24.19% (95% CI 22.94\u0026ndash;25.44) in sarcopenia population, significantly higher than that in non-sarcopenia (16.4%, 95% CI 15.19\u0026ndash;17.61). The prevalence was higher in female (28.91%, 27.13\u0026ndash;30.69) than in male (18.43%, 16.74\u0026ndash;20.11; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001 for gender difference) and in people with more than four chronic comorbidities (44.83%, 40.87\u0026ndash;48.79) than in those without chronic comorbidities (13.02%, 11.02\u0026ndash;15.02; \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001 for the number of chronic diseases difference). The risk factors for LBP in sarcopenia population included diagnosis of heart attack (odds ratio 1.40, 95% CI 1.11\u0026ndash;1.77), kidney disease (1.80, 1.30\u0026ndash;2.49), gastrointestinal disease (1.62, 1.35\u0026ndash;1.94), arthritis or rheumatism (1.76, 1.48\u0026ndash;2.10), sleep time of less than 5 h (2.06, 1.36\u0026ndash;3.10), living in rural area (1.54, 1.20\u0026ndash;1.96), illiteracy (1.64, 1.21\u0026ndash;2.22), middle school and higher (1.70, 1.30\u0026ndash;2.23), depression (3.16, 2.56\u0026ndash;3.89), and so on.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eLBP is highly prevalent in the Chinese sarcopenia population. Chronic diseases, sleep time, residence, educational level, depression, instrumental ADL disability, and history of fall are major risk factors of LBP for sarcopenia population.\u003c/p\u003e","manuscriptTitle":"Prevalence and Risk Factors of Low Back Pain in Middle-aged and Elderly People with Sarcopenia: a Nationwide Cross-sectional Study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-03-26 15:49:31","doi":"10.21203/rs.3.rs-4134269/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-01-06T14:29:13+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-01-06T13:51:11+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"177454804415629973009621007086303144933","date":"2024-12-11T05:06:24+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-06-12T08:25:33+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"243487842765154667905514504060294632179","date":"2024-06-04T12:03:58+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"278553220779186104545201471273318798256","date":"2024-06-03T07:15:14+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-04-02T20:29:11+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2024-03-25T09:34:53+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-03-21T16:09:18+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-03-21T16:09:18+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Public Health","date":"2024-03-20T05:18:04+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-public-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pubh","sideBox":"Learn more about [BMC Public Health](http://bmcpublichealth.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/pubh/default.aspx","title":"BMC Public Health","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"bd303004-217c-4d99-883e-9dce9f8d199b","owner":[],"postedDate":"March 26th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-04-28T16:01:22+00:00","versionOfRecord":{"articleIdentity":"rs-4134269","link":"https://doi.org/10.1186/s12889-025-22723-2","journal":{"identity":"bmc-public-health","isVorOnly":false,"title":"BMC Public Health"},"publishedOn":"2025-04-24 15:57:25","publishedOnDateReadable":"April 24th, 2025"},"versionCreatedAt":"2024-03-26 15:49:31","video":"","vorDoi":"10.1186/s12889-025-22723-2","vorDoiUrl":"https://doi.org/10.1186/s12889-025-22723-2","workflowStages":[]},"version":"v1","identity":"rs-4134269","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4134269","identity":"rs-4134269","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}