体质量指数在慢性非传染性疾病和健康相关生命质量间的调节效应

目的：探讨BMI在慢性非传染性疾病（慢病）和健康相关生命质量（HRQOL）间的调节变量和调节效应作用。方法从汇集9省市21948名调查对象的数据库中随机抽取性别、年龄结构与2005年全国1%人口抽样调查样本数据一致的8448人作为数据源，从中选择数据完整的8314名研究对象作为样本。采用多层回归分析方法研究变量间的调节效应。结果以HRQOL得分为因变量的回归方程中，交互作用项“慢病× BMI”的回归系数和新增解释量在SF-36生理领域均无统计学意义（β＝0.084，P＝0.142；ΔR2＝0.000，P＝0.142），在心理领域均有统计学意义（β＝0.132，P＝0.034；ΔR2＝0.001，P＝0.034）。标准化回归系数比较发现，生理领域和心理领域均为“慢病”（-0.259；-0.187）对HRQOL的影响大于“BMI”（0.082；0.095）。结论 BMI在慢病和心理领域HRQOL之间存在调节效应。BMI值越高，慢病对心理领域HRQOL的负向影响越小。     

Body mass index and waist circumference predict health-related quality of life,but not satisfaction with life,in the elderly

Objectives

While obesity has been linked with lower quality of life in the general adult population, the prospective effects of present obesity on future quality of life amongst the elderly is unclear. This article investigates the cross-sectional and longitudinal relationships between obesity and aspects of quality of life in community-dwelling older Australians.

Method

A 2-year longitudinal sample of community dwellers aged 70–90 years at baseline, derived from the Sydney Memory and Ageing Study (MAS), was chosen for the study. Of the 1037 participants in the original MAS sample, a baseline (Wave 1) sample of 926 and a 2-year follow-up (Wave 2) sample of 751 subjects were retained for these analyses. Adiposity was measured using body mass index (BMI) and waist circumference (WC). Quality of life was measured using the Assessment of Quality of Life (6 dimensions) questionnaire (AQoL-6D) as well as the Satisfaction with Life Scale (SWLS). Linear regression and analysis of covariance (ANCOVA) were used to examine linear and non-linear relationships between BMI and WC and measures of health-related quality of life (HRQoL) and satisfaction with life, adjusting for age, sex, education, asthma, osteoporosis, depression, hearing and visual impairment, mild cognitive impairment, physical activity, and general health. Where a non-linear relationship was found, established BMI or WC categories were used in ANCOVA.

Results

Greater adiposity was associated with lower HRQoL but not life satisfaction. Regression modelling in cross-sectional analyses showed that higher BMI and greater WC were associated with lower scores for independent living, relationships, and pain (i.e. worse pain) on the AQoL-6D. In planned contrasts within a series of univariate analyses, obese participants scored lower in independent living and relationships, compared to normal weight and overweight participants. Longitudinal analyses found that higher baseline BMI and WC were associated with lower independent living scores at Wave 2.

Conclusions

Obesity is associated with and predicts lower quality of life in elderly adults aged 70–90 years, and the areas most affected are independent living, social relationships, and the experience of pain.

     

Associations between body mass index and health-related quality of life among Australian adults

Objectives  

To assess the relationship between body mass index (BMI) and health-related quality of life (HQoL), as measured by the Short Form Health Survey (SF-36) within a sample with broad population coverage.     

Body cell mass repletion and improved quality of life in HIV-infected individuals receiving oxandrolone

BACKGROUND: The aim of this study was to measure changes in body cell mass (BCM) and quality of life in HIV-infected individuals undergoing oxandrolone therapy. Previous studies on oxandrolone have neither quantified changes in BCM using criterion methods nor quality of life using an HIV-specific instrument. METHODS: Twenty-five HIV-infected patients (15 with an AIDS diagnosis) on standard antiretroviral and nutrition management were studied before and an average of 18.6 weeks after the initiation of oxandrolone therapy, as prescribed by their primary care physician for the treatment of weight loss. BCM was estimated from intracellular water measured by multiple dilution. Lean soft tissue mass (LTM) was measured by dual-energy X-ray absorptiometry. Quality of life was evaluated by the Functional Assessment of HIV Infection (FAHI) questionnaire. RESULTS: Significant gains in body weight (2.6 +/- 3.0 kg; p < .0001), BCM (3.6 +/- 3.0 kg; p < .0001), and LTM (3.0 +/- 2.9 kg; p < .0001) occurred over an average course of 18.6 weeks of treatment. Overall quality of life improved (p = .056) and appetite improved (p = .032), both of which were positively associated with weight gain (p = .040 and p = .022, respectively). CONCLUSIONS: This is the first study involving oxandrolone therapy in HIV infection to document changes in quality of life and BCM, the metabolically active component of lean body mass that reflects nutritional status better than other more global body composition parameters. Nutritional status and quality of life can improve in HIV-infected individuals receiving a combined therapeutic approach that includes oxandrolone.     

The relationship between body mass index and health-related quality of life in urban disadvantaged children

Introduction

The study’s aim was to establish, for children living in urban disadvantage, the nature and extent of the relationship between body mass index (BMI) and health-related quality of life (HRQoL), including the role of individual and family factors in influencing this relationship.

Methods

Within the context of a longitudinal design, 255 children aged 7–12 years (50 % male) self-reported their HRQoL (Kidscreen-27) and had their height and weight measured at year one and two. One parent/guardian for each child was also assessed at year one with the OSLO Social Support Scale and Hospital Anxiety and Depression Scale. Regression analysis was also conducted.

Results

BMI was weakly inversely associated with ‘total HRQoL’ (r = ?.15, p < .05), ‘physical well-being’ and ‘autonomy and parent relations’. Significant differences were found between normal weight and obese children on all but the latter dimension. Neither weight group, however, fell below the average European HRQoL range. BMI predicted physical well-being a year later and vice versa, whilst autonomy and parent relations also predicted BMI a year later. In terms of ‘overweight’ children (38 %), those approaching adolescence had poorer physical and school well-being than younger children, and those whose parents had moderate-to-severe levels of depression fared worse on school well-being than children whose parents were not depressed.

Conclusion

The findings suggest that obesity programmes could aim to prevent/reduce obesity and optimise HRQoL in urban disadvantaged preadolescent children whilst also targeting parental mental health difficulties. Future research should examine mediators of the effect of BMI on HRQoL.     

Body mass index and quality of life in a survey of primary care patients

BACKGROUND: The prevalence of overweight and obesity is increasing and contributes to the burden of ill health in the community. The impact of obesity on health-related quality of life has been less well studied than how it affects physical morbidity and mortality. METHODS: A survey of health-related quality of life using the 12-item Short Form (SF-12) of the Medical Outcomes Study Short Form-36 was mailed to patients attending a family medicine clinic. Multiple regression analyses were used to investigate the relationships between scores on the mental and physical components of the SF-12 and body mass index (BMI) while controlling for age, sex, and family income. RESULTS: Responses were received from 565 subjects (53%). The relationships among BMI and quality of life in the mental and physical domains were nonlinear. Quality of life scores were optimal when BMI was in the range of 20 to 25 kg per m2. CONCLUSIONS: The National Heart, Lung, and Blood Institute has published evidence-based clinical guidelines for the identification, evaluation, and treatment of overweight and obesity in adults. Subjects with BMI in the range 18.5 to 24.9 kg per m2 are classified as having normal weight. These observations suggest that achieving a weight in this range will maximize the patient's subjective sense of well-being.     

Body weight and health-related quality of life in Catalonia, Spain

Obesity poses important burdens not only on the individuals whose quality of life is reduced but on national welfare systems that have to face growing premature mortality rates, increase healthcare expenditures to treat obesity-related diseases, and earmark vast amounts of healthcare resources for prevention. The main goal of this paper is to analyze the relationship between excess body weight and different dimensions of health-related quality of life for people 16 years and older and to identify the health dimensions most affected by excess weight. We have drawn data from the Catalonia Health Survey (2006). Our results reveal a relationship between excess weight and health-related quality of life. Even after controlling for socio-economic status and objective health variables, excess weight is shown to have a significant negative effect on health-related quality of life. Subjects responses revealed that the negative effect of excess weight was felt the strongest in the health-related quality of life dimensions of mobility and pain/discomfort. Our results indicate there are important differences among gender and age groups. Women and older people are more likely to suffer from the negative consequences of excess weight.     

A new comorbidity index: the health-related quality of life comorbidity index

Objective

To derive and validate the health-related quality of life comorbidity index (HRQL-CI).

Study Design and Setting

Of 261 clinical classification codes (CCCs) in the 2003 Medical Expenditure Panel Survey (MEPS), 44 were identified as adult, gender-neutral, chronic conditions. The least absolute shrinkage and selection operator (LASSO) procedure identified CCCs significantly associated with the Short Form-12 physical component summary (PCS) and mental component summary (MCS) scores. Regression models were fitted with the selected CCCs, resulting in two subsets corresponding to PCS and MCS, collectively called the HRQL-CI. Internal validation was assessed using 10-fold cross-validation, whereas external validation in terms of prediction accuracy was assessed in the 2005 MEPS database. Prediction errors and model R² were compared between HRQL-CI models and models using the Charlson-CI.

Results

LASSO identified 20 CCCs significantly associated with PCS and 15 with MCS. The R² for the models, including the HRQL-CI (0.28 for PCS and 0.16 for MCS) were greater than those using the Charlson-CI (0.13 for PCS and 0.01 for MCS). The same pattern of higher R² for models using the HRQL-CI was observed in the validation tests.

Conclusion

The HRQL-CI is a valid risk adjustment index, outperforming the Charlson-CI. Further work is needed to test its performance in other patient populations and measures of HRQL.     

The independent effect of body mass index on health-related quality of life among racial and ethnic subgroups

Purpose

To evaluate the impact of race/ethnicity on the relationship between body mass index (BMI) and health-related quality of life (HRQOL) among blacks, Hispanics, and whites.

Methods

We used the Sinai Urban Health Institute’s Improving Community Health Survey dataset to measure physical and mental HRQOL using the Physical Component Score (PCS-12) and the Mental Component Score (MCS-12) of the Short Form-12. Multivariate linear regression models were applied to the overall sample and in models stratified by race/ethnicity to evaluate the effects of BMI on physical and mental HRQOL outcome variables while controlling for confounders.

Results

Considering physical HRQOL, increasing BMI was independently associated with worse PCS-12 (β = ?0.22, p value <0.001) in the overall sample; the magnitude was not significantly different across racial/ethnic subgroups (blacks: β = ?0.18, p value = 0.02; Hispanics: β = ?0.28, p value = 0.01; whites: β = ?0.20, p value = 0.02). Overall, Hispanic participants reported a worse PCS-12 compared to whites (β = ?3.06, p value = 0.002). Considering mental HRQOL, BMI was not significantly associated with MCS-12 in the overall sample (β = ?0.06, p value = 0.21) nor was BMI significantly associated with MCS-12 in any racial/ethnic subgroups. Overall, black participants reported better MCS-12 compared to whites (β = 2.51, p value = 0.001).

Conclusions

BMI was associated with worse physical HRQOL to a similar degree among blacks, Hispanics, and whites. This finding suggests that interventions leading to obesity reduction should be associated with substantial and equal improvements in the physical HRQOL of all race/ethnicity groups.     

Body mass index and neuropsychological function in healthy children and adolescents

Elevated body mass index (BMI) is associated with adverse neurocognitive outcome in adults, including reduced neuropsychological test performance. It is unknown whether this relationship also exists in children and adolescents. A total of 478 children and adolescents (age 6-19) without significant medical or psychiatric history provided demographic information and completed a computerized cognitive test battery. Participants were categorized using clinical criteria into underweight, normal weight, at risk for overweight and overweight groups based on age and gender. Partial correlation and MANCOVA analyses adjusting for age and intellectual function found no relationship between BMI and cognitive test performance in the full sample. However, analyses performed separately by gender showed that underweight females exhibited poorer memory performance than other female BMI groups. These findings suggest that elevated BMI is not associated with cognitive function in healthy children and adolescents, though underweight might be a risk factor for reduced memory performance in females. Further work is needed to clarify the inconsistent findings between adults and minors.     

中国9省市中老年人群体重指数与健康相关生命质量的关系

目的 研究中国中老年人BMI与健康相关生命质量(HRQOL)的关系.方法 汇集9省市(汀苏、安徽、甘肃、青海、福建、北京、吉林、江西、河南)横断面健康状况调查中老年人群数据共9539例.采用秩和检验比较BMI分类不同的中老年人生命质量的差异;用多元logistic回归模型检验排除性别、年龄、婚姻状况、学历、运动水平和慢性病史等混杂因素后,中老年人BMI分类与生命质最的相关性.结果 与体重正常的中老年人相比,体重过轻组SF-36的生理领域(P<0.001)、心理领域(P<0.01)及其8个维度(生理机能、精神健康,P<0.05;生理职能、躯体疼痛、健康状况、精力、社会功能、情感职能,P<0.01)生命质量均显著较差;超重组心理领域生命质量显著较好(P<0.05);肥胖组生理机能维度显著较差(P<0.01),心理领域(P<0.05)、精神健康维度(P<0.01)显著较好.排除已知的混杂因素后,体重过轻组在生理领域(OR=1.67,95%CI:1.35～2.06)、心理领域(OR=1.39,95%CI:1.13～1.70)以及所有8个维度生命质量减损的危险度显著增高;超重组心理领域(OR=0.86,95%CI:0.78～0.95)及其生理职能、精力、社会功能、情感职能、精神健康维度生命质最受损的危险度显著降低;肥胖组生理机能维度(OR=1.51,95%CI:1.27～1.80)受损的危险度显著增高,心理领域(OR=0.71,95%CI:0.60～0.85)及其精力、情感职能、精神健康维度生命质量受损的危险度显著降低.结论 BMI分类不同的中老年人其SF-36各领域生命质量不同,体重过轻组生理领域和心理领域生命质量均较差,超重和肥胖组心理领域生命质最较好,肥胖组生理领域生命质量较差.超重和肥胖的中老年人生命质量的减损与慢性疾病有关.     

中国9省市中老年人群体重指数与健康相关生命质量的关系

Objective To study the association between body mass index (BMI) and the health-related quality of life (HRQOL) in the middle-aged and older Chinese people. Methods Data of 9539 middle-aged and older adults was collected from a cross-sectional survey performed in 9 provinces of China (Jiangsu, Anhui, Gansu, Qinghai, Fujian, Beijing, Jilin, Jiangxi and Henan province). MO SSF-36 was used to measure HRQOL. BMI classification was in accordance with the criteria recommended by the Ministry of Health of China. Rank sum test was used to compare HRQOL between subjects with normal weight and those with different BMI classification. Multiple logistic regression analysis was used to assess the association of HRQOL with BMI after adjusted for sex, age, marital, education, physical activity status and chronic diseases. Results When compared with middle-aged and older adults at normal weight range (18.5≤BMI<24) , data on physical domain (P<0.001) , mental domain (P< 0.01) and 8 dimensions of HRQOL (physical functioning, mental health, P<0.05; role-physical, bodily pain, general health, vitality, social functioning, role-emotional, P<0.01)among subjects with underweight (BMI<18.5) were significantly lower while mental component summary (P<0.05) of overweight subjects (24≤BMI<28) was significantly higher. Obese subjects (BMI≥28) had worse physical function (physical functioning, P<0.01) but better mental health (mental health, P<0.01; mental component summary, P<0.05). After adjusting for other factors, and compared to middle aged and older adults with normal weight, data on odds ratios (ORs) of impaired HRQOL in physical domain (OR=1.67, 95% CI: 1.35-2.06), mental domain (OR=1.39, 95%CI: 1.13-1.70) and 8 dimensions increased among underweight subjects while ORs of impaired HRQOL in mental domain (0R=0.86,95% CI: 0.78-0.95) and role-physical, vitality, social functioning, role-emotional and mental health dimensions decreased among overweight subjects. ORs increased (OR=1.51,95% CI: 1.27-1.80) in impaired HRQOL in physical functioning dimension but decreased in mental domain (OR=0.71,95%CI: 0.60-0.85) as well as vitality, role-emotional and mental health dimensions among obese subjects. Conclusion HRQOL of each domain were different among middle aged and older adults with different BM1 classification. Underweight people had poor HRQOL in both physical domain and psychological domain, and obese people had poor physical function but good mental health condition.     

中国9省市中老年人群体重指数与健康相关生命质量的关系

Objective To study the association between body mass index (BMI) and the health-related quality of life (HRQOL) in the middle-aged and older Chinese people. Methods Data of 9539 middle-aged and older adults was collected from a cross-sectional survey performed in 9 provinces of China (Jiangsu, Anhui, Gansu, Qinghai, Fujian, Beijing, Jilin, Jiangxi and Henan province). MO SSF-36 was used to measure HRQOL. BMI classification was in accordance with the criteria recommended by the Ministry of Health of China. Rank sum test was used to compare HRQOL between subjects with normal weight and those with different BMI classification. Multiple logistic regression analysis was used to assess the association of HRQOL with BMI after adjusted for sex, age, marital, education, physical activity status and chronic diseases. Results When compared with middle-aged and older adults at normal weight range (18.5≤BMI<24) , data on physical domain (P<0.001) , mental domain (P< 0.01) and 8 dimensions of HRQOL (physical functioning, mental health, P<0.05; role-physical, bodily pain, general health, vitality, social functioning, role-emotional, P<0.01)among subjects with underweight (BMI<18.5) were significantly lower while mental component summary (P<0.05) of overweight subjects (24≤BMI<28) was significantly higher. Obese subjects (BMI≥28) had worse physical function (physical functioning, P<0.01) but better mental health (mental health, P<0.01; mental component summary, P<0.05). After adjusting for other factors, and compared to middle aged and older adults with normal weight, data on odds ratios (ORs) of impaired HRQOL in physical domain (OR=1.67, 95% CI: 1.35-2.06), mental domain (OR=1.39, 95%CI: 1.13-1.70) and 8 dimensions increased among underweight subjects while ORs of impaired HRQOL in mental domain (0R=0.86,95% CI: 0.78-0.95) and role-physical, vitality, social functioning, role-emotional and mental health dimensions decreased among overweight subjects. ORs increased (OR=1.51,95% CI: 1.27-1.80) in impaired HRQOL in physical functioning dimension but decreased in mental domain (OR=0.71,95%CI: 0.60-0.85) as well as vitality, role-emotional and mental health dimensions among obese subjects. Conclusion HRQOL of each domain were different among middle aged and older adults with different BM1 classification. Underweight people had poor HRQOL in both physical domain and psychological domain, and obese people had poor physical function but good mental health condition.     

中国9省市中老年人群体重指数与健康相关生命质量的关系

Objective To study the association between body mass index (BMI) and the health-related quality of life (HRQOL) in the middle-aged and older Chinese people. Methods Data of 9539 middle-aged and older adults was collected from a cross-sectional survey performed in 9 provinces of China (Jiangsu, Anhui, Gansu, Qinghai, Fujian, Beijing, Jilin, Jiangxi and Henan province). MO SSF-36 was used to measure HRQOL. BMI classification was in accordance with the criteria recommended by the Ministry of Health of China. Rank sum test was used to compare HRQOL between subjects with normal weight and those with different BMI classification. Multiple logistic regression analysis was used to assess the association of HRQOL with BMI after adjusted for sex, age, marital, education, physical activity status and chronic diseases. Results When compared with middle-aged and older adults at normal weight range (18.5≤BMI<24) , data on physical domain (P<0.001) , mental domain (P< 0.01) and 8 dimensions of HRQOL (physical functioning, mental health, P<0.05; role-physical, bodily pain, general health, vitality, social functioning, role-emotional, P<0.01)among subjects with underweight (BMI<18.5) were significantly lower while mental component summary (P<0.05) of overweight subjects (24≤BMI<28) was significantly higher. Obese subjects (BMI≥28) had worse physical function (physical functioning, P<0.01) but better mental health (mental health, P<0.01; mental component summary, P<0.05). After adjusting for other factors, and compared to middle aged and older adults with normal weight, data on odds ratios (ORs) of impaired HRQOL in physical domain (OR=1.67, 95% CI: 1.35-2.06), mental domain (OR=1.39, 95%CI: 1.13-1.70) and 8 dimensions increased among underweight subjects while ORs of impaired HRQOL in mental domain (0R=0.86,95% CI: 0.78-0.95) and role-physical, vitality, social functioning, role-emotional and mental health dimensions decreased among overweight subjects. ORs increased (OR=1.51,95% CI: 1.27-1.80) in impaired HRQOL in physical functioning dimension but decreased in mental domain (OR=0.71,95%CI: 0.60-0.85) as well as vitality, role-emotional and mental health dimensions among obese subjects. Conclusion HRQOL of each domain were different among middle aged and older adults with different BM1 classification. Underweight people had poor HRQOL in both physical domain and psychological domain, and obese people had poor physical function but good mental health condition.     

中国9省市中老年人群体重指数与健康相关生命质量的关系

Objective To study the association between body mass index (BMI) and the health-related quality of life (HRQOL) in the middle-aged and older Chinese people. Methods Data of 9539 middle-aged and older adults was collected from a cross-sectional survey performed in 9 provinces of China (Jiangsu, Anhui, Gansu, Qinghai, Fujian, Beijing, Jilin, Jiangxi and Henan province). MO SSF-36 was used to measure HRQOL. BMI classification was in accordance with the criteria recommended by the Ministry of Health of China. Rank sum test was used to compare HRQOL between subjects with normal weight and those with different BMI classification. Multiple logistic regression analysis was used to assess the association of HRQOL with BMI after adjusted for sex, age, marital, education, physical activity status and chronic diseases. Results When compared with middle-aged and older adults at normal weight range (18.5≤BMI<24) , data on physical domain (P<0.001) , mental domain (P< 0.01) and 8 dimensions of HRQOL (physical functioning, mental health, P<0.05; role-physical, bodily pain, general health, vitality, social functioning, role-emotional, P<0.01)among subjects with underweight (BMI<18.5) were significantly lower while mental component summary (P<0.05) of overweight subjects (24≤BMI<28) was significantly higher. Obese subjects (BMI≥28) had worse physical function (physical functioning, P<0.01) but better mental health (mental health, P<0.01; mental component summary, P<0.05). After adjusting for other factors, and compared to middle aged and older adults with normal weight, data on odds ratios (ORs) of impaired HRQOL in physical domain (OR=1.67, 95% CI: 1.35-2.06), mental domain (OR=1.39, 95%CI: 1.13-1.70) and 8 dimensions increased among underweight subjects while ORs of impaired HRQOL in mental domain (0R=0.86,95% CI: 0.78-0.95) and role-physical, vitality, social functioning, role-emotional and mental health dimensions decreased among overweight subjects. ORs increased (OR=1.51,95% CI: 1.27-1.80) in impaired HRQOL in physical functioning dimension but decreased in mental domain (OR=0.71,95%CI: 0.60-0.85) as well as vitality, role-emotional and mental health dimensions among obese subjects. Conclusion HRQOL of each domain were different among middle aged and older adults with different BM1 classification. Underweight people had poor HRQOL in both physical domain and psychological domain, and obese people had poor physical function but good mental health condition.     

中国9省市中老年人群体重指数与健康相关生命质量的关系

Objective To study the association between body mass index (BMI) and the health-related quality of life (HRQOL) in the middle-aged and older Chinese people. Methods Data of 9539 middle-aged and older adults was collected from a cross-sectional survey performed in 9 provinces of China (Jiangsu, Anhui, Gansu, Qinghai, Fujian, Beijing, Jilin, Jiangxi and Henan province). MO SSF-36 was used to measure HRQOL. BMI classification was in accordance with the criteria recommended by the Ministry of Health of China. Rank sum test was used to compare HRQOL between subjects with normal weight and those with different BMI classification. Multiple logistic regression analysis was used to assess the association of HRQOL with BMI after adjusted for sex, age, marital, education, physical activity status and chronic diseases. Results When compared with middle-aged and older adults at normal weight range (18.5≤BMI<24) , data on physical domain (P<0.001) , mental domain (P< 0.01) and 8 dimensions of HRQOL (physical functioning, mental health, P<0.05; role-physical, bodily pain, general health, vitality, social functioning, role-emotional, P<0.01)among subjects with underweight (BMI<18.5) were significantly lower while mental component summary (P<0.05) of overweight subjects (24≤BMI<28) was significantly higher. Obese subjects (BMI≥28) had worse physical function (physical functioning, P<0.01) but better mental health (mental health, P<0.01; mental component summary, P<0.05). After adjusting for other factors, and compared to middle aged and older adults with normal weight, data on odds ratios (ORs) of impaired HRQOL in physical domain (OR=1.67, 95% CI: 1.35-2.06), mental domain (OR=1.39, 95%CI: 1.13-1.70) and 8 dimensions increased among underweight subjects while ORs of impaired HRQOL in mental domain (0R=0.86,95% CI: 0.78-0.95) and role-physical, vitality, social functioning, role-emotional and mental health dimensions decreased among overweight subjects. ORs increased (OR=1.51,95% CI: 1.27-1.80) in impaired HRQOL in physical functioning dimension but decreased in mental domain (OR=0.71,95%CI: 0.60-0.85) as well as vitality, role-emotional and mental health dimensions among obese subjects. Conclusion HRQOL of each domain were different among middle aged and older adults with different BM1 classification. Underweight people had poor HRQOL in both physical domain and psychological domain, and obese people had poor physical function but good mental health condition.     

中国9省市中老年人群体重指数与健康相关生命质量的关系

Objective To study the association between body mass index (BMI) and the health-related quality of life (HRQOL) in the middle-aged and older Chinese people. Methods Data of 9539 middle-aged and older adults was collected from a cross-sectional survey performed in 9 provinces of China (Jiangsu, Anhui, Gansu, Qinghai, Fujian, Beijing, Jilin, Jiangxi and Henan province). MO SSF-36 was used to measure HRQOL. BMI classification was in accordance with the criteria recommended by the Ministry of Health of China. Rank sum test was used to compare HRQOL between subjects with normal weight and those with different BMI classification. Multiple logistic regression analysis was used to assess the association of HRQOL with BMI after adjusted for sex, age, marital, education, physical activity status and chronic diseases. Results When compared with middle-aged and older adults at normal weight range (18.5≤BMI<24) , data on physical domain (P<0.001) , mental domain (P< 0.01) and 8 dimensions of HRQOL (physical functioning, mental health, P<0.05; role-physical, bodily pain, general health, vitality, social functioning, role-emotional, P<0.01)among subjects with underweight (BMI<18.5) were significantly lower while mental component summary (P<0.05) of overweight subjects (24≤BMI<28) was significantly higher. Obese subjects (BMI≥28) had worse physical function (physical functioning, P<0.01) but better mental health (mental health, P<0.01; mental component summary, P<0.05). After adjusting for other factors, and compared to middle aged and older adults with normal weight, data on odds ratios (ORs) of impaired HRQOL in physical domain (OR=1.67, 95% CI: 1.35-2.06), mental domain (OR=1.39, 95%CI: 1.13-1.70) and 8 dimensions increased among underweight subjects while ORs of impaired HRQOL in mental domain (0R=0.86,95% CI: 0.78-0.95) and role-physical, vitality, social functioning, role-emotional and mental health dimensions decreased among overweight subjects. ORs increased (OR=1.51,95% CI: 1.27-1.80) in impaired HRQOL in physical functioning dimension but decreased in mental domain (OR=0.71,95%CI: 0.60-0.85) as well as vitality, role-emotional and mental health dimensions among obese subjects. Conclusion HRQOL of each domain were different among middle aged and older adults with different BM1 classification. Underweight people had poor HRQOL in both physical domain and psychological domain, and obese people had poor physical function but good mental health condition.     

中国9省市中老年人群体重指数与健康相关生命质量的关系

Objective To study the association between body mass index (BMI) and the health-related quality of life (HRQOL) in the middle-aged and older Chinese people. Methods Data of 9539 middle-aged and older adults was collected from a cross-sectional survey performed in 9 provinces of China (Jiangsu, Anhui, Gansu, Qinghai, Fujian, Beijing, Jilin, Jiangxi and Henan province). MO SSF-36 was used to measure HRQOL. BMI classification was in accordance with the criteria recommended by the Ministry of Health of China. Rank sum test was used to compare HRQOL between subjects with normal weight and those with different BMI classification. Multiple logistic regression analysis was used to assess the association of HRQOL with BMI after adjusted for sex, age, marital, education, physical activity status and chronic diseases. Results When compared with middle-aged and older adults at normal weight range (18.5≤BMI<24) , data on physical domain (P<0.001) , mental domain (P< 0.01) and 8 dimensions of HRQOL (physical functioning, mental health, P<0.05; role-physical, bodily pain, general health, vitality, social functioning, role-emotional, P<0.01)among subjects with underweight (BMI<18.5) were significantly lower while mental component summary (P<0.05) of overweight subjects (24≤BMI<28) was significantly higher. Obese subjects (BMI≥28) had worse physical function (physical functioning, P<0.01) but better mental health (mental health, P<0.01; mental component summary, P<0.05). After adjusting for other factors, and compared to middle aged and older adults with normal weight, data on odds ratios (ORs) of impaired HRQOL in physical domain (OR=1.67, 95% CI: 1.35-2.06), mental domain (OR=1.39, 95%CI: 1.13-1.70) and 8 dimensions increased among underweight subjects while ORs of impaired HRQOL in mental domain (0R=0.86,95% CI: 0.78-0.95) and role-physical, vitality, social functioning, role-emotional and mental health dimensions decreased among overweight subjects. ORs increased (OR=1.51,95% CI: 1.27-1.80) in impaired HRQOL in physical functioning dimension but decreased in mental domain (OR=0.71,95%CI: 0.60-0.85) as well as vitality, role-emotional and mental health dimensions among obese subjects. Conclusion HRQOL of each domain were different among middle aged and older adults with different BM1 classification. Underweight people had poor HRQOL in both physical domain and psychological domain, and obese people had poor physical function but good mental health condition.     

Self-reported body mass index and health-related quality of life: findings from the Behavioral Risk Factor Surveillance System

OBJECTIVE: To examine the relationship between self-reported body mass index (BMI) and health-related quality of life in the general adult population in the United STATES: RESEARCH METHODS AND PROCEDURES: Using data from 109,076 respondents in the 1996 Behavioral Risk Factor Surveillance System, we examined how self-reported BMI is associated with five health-related quality of life measures developed by the Centers for Disease Control and Prevention for population health surveillance. RESULTS: After adjusting for age, gender, race or ethnicity, educational attainment, employment status, smoking status, and physical activity status, participants with a self-reported BMI of <18.5 kg/m(2) and participants with a self-reported BMI of > or =30 kg/m(2) reported impaired quality of life. Compared with persons with a self-reported BMI of 18.5 to <25 kg/m(2), odds ratios (ORs) of poor or fair self-rated health increased among persons with self-reported BMIs of <18.5 (1.57, 95% confidence interval [CI]: 1.31 to 1.89), 25 to <30 kg/m(2) (1.12, 95% CI: 1.04 to 1.20), 30 to <35 kg/m(2) (1.65, 95% CI: 1.50 to 1.81), 35 to <40 kg/m(2) (2.58, 95% CI: 2.21 to 3.00), and > or =40 kg/m(2) (3.23, 95% CI: 2.63 to 3.95); ORs for reporting > or =14 days of poor physical health during the previous 30 days were 1.44 (95% CI: 1.21 to 1.72), 1.04 (95% CI: 0.96 to 1.14), 1.32 (95% CI: 1.19 to 1.47), 1.80 (95% CI: 1.52 to 2.13), and 2.37 (95% CI: 1.90 to 2.94), respectively; ORs for having > or =14 days of poor mental health during the previous 30 days were 1.18 (95% CI: 0.97 to 1.42), 1.02 (95% CI: 0.95 to 1.11), 1.22 (95% CI: 1.10 to 1.36), 1.68 (95% CI: 1.42 to 1.98), and 1.66 (95% CI: 1.32 to 2.09), respectively. DISCUSSION: In the largest study to date, low and increased self-reported BMI significantly impaired health-related quality of life. Particularly, deviations from normal BMI affected physical functioning more strongly than mental functioning.