Exploring the nonlinear relationship between body mass index and health-related quality of life among adults: a cross-sectional study in Shaanxi Province, China

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Abstract

Introduction

China is a country facing the “double burden” of both obesity and underweight. The objective of this study was to explore the relationship between body mass index (BMI) and health-related quality of life (HRQOL) in adults from Shaanxi Province.

Methods

The data were derived from the fifth Health Service Survey of Shaanxi Province, which was part of China’s National Health Service Survey (NHSS), conducted in 2013. The HRQOL was assessed using the three-level EQ-5D questionnaire and scored based on a recently developed Chinese-specific tariff. Semiparametric regression models were adopted to explore the non-linear relationship between continuous BMI and overall HRQOL scores. Logistic regression models were further undertaken to assess the relationship between categorized BMI and five dimensions of HRQOL.

Results

Among the study sample ( n = 37,902), 77 % of men and 75 % of women were assigned to normal weight, according to the WHO International classification. There were statistical significant nonlinear relationships between BMI and HRQOL, with optimal HRQOL achieved at a BMI of near 23 kg/m ² for men and 24 kg/m ² for women. Before BMI reached optimal HRQOL, the EQ-5D utility scores were increasing faster among men than the women, whilst after the BMI value reached the optimal utility scores, women showed a faster decline in utility scores than men. With adjustments for socio-demographic, physical activity and co-morbidities, obese respondents were more likely to suffer from physical rather than mental problems. Underweight respondents were significantly more likely to report having any problems in all five dimensions of the EQ-5D, whilst the magnitudes of odds ratios were consistently larger for men than women.

Conclusion

There was an inverse U-shaped association between continuous BMI and overall HRQOL scores, meaning that both underweight and obesity were associated with lower HRQOL. The relationship between BMI and HRQOL varied between sexes. Underweight respondents had a higher risk of suffering from both physical and mental problems. Interventions aimed to tackle the prevalence of underweight should be put into action in Shaanxi Province.

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Most cited references 34

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Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013.

Marie Ng, Tom Fleming, Margaret W. Robinson … (2015)

In 2010, overweight and obesity were estimated to cause 3·4 million deaths, 3·9% of years of life lost, and 3·8% of disability-adjusted life-years (DALYs) worldwide. The rise in obesity has led to widespread calls for regular monitoring of changes in overweight and obesity prevalence in all populations. Comparable, up-to-date information about levels and trends is essential to quantify population health effects and to prompt decision makers to prioritise action. We estimate the global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013. We systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports. We used mixed effects linear regression to correct for bias in self-reports. We obtained data for prevalence of obesity and overweight by age, sex, country, and year (n=19,244) with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). Worldwide, the proportion of adults with a body-mass index (BMI) of 25 kg/m(2) or greater increased between 1980 and 2013 from 28·8% (95% UI 28·4-29·3) to 36·9% (36·3-37·4) in men, and from 29·8% (29·3-30·2) to 38·0% (37·5-38·5) in women. Prevalence has increased substantially in children and adolescents in developed countries; 23·8% (22·9-24·7) of boys and 22·6% (21·7-23·6) of girls were overweight or obese in 2013. The prevalence of overweight and obesity has also increased in children and adolescents in developing countries, from 8·1% (7·7-8·6) to 12·9% (12·3-13·5) in 2013 for boys and from 8·4% (8·1-8·8) to 13·4% (13·0-13·9) in girls. In adults, estimated prevalence of obesity exceeded 50% in men in Tonga and in women in Kuwait, Kiribati, Federated States of Micronesia, Libya, Qatar, Tonga, and Samoa. Since 2006, the increase in adult obesity in developed countries has slowed down. Because of the established health risks and substantial increases in prevalence, obesity has become a major global health challenge. Not only is obesity increasing, but no national success stories have been reported in the past 33 years. Urgent global action and leadership is needed to help countries to more effectively intervene. Bill & Melinda Gates Foundation. Copyright © 2014 Elsevier Ltd. All rights reserved.

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Excess deaths associated with underweight, overweight, and obesity.

Katherine Flegal (2005)

As the prevalence of obesity increases in the United States, concern over the association of body weight with excess mortality has also increased. To estimate deaths associated with underweight (body mass index [BMI] or =30) in the United States in 2000. We estimated relative risks of mortality associated with different levels of BMI (calculated as weight in kilograms divided by the square of height in meters) from the nationally representative National Health and Nutrition Examination Survey (NHANES) I (1971-1975) and NHANES II (1976-1980), with follow-up through 1992, and from NHANES III (1988-1994), with follow-up through 2000. These relative risks were applied to the distribution of BMI and other covariates from NHANES 1999-2002 to estimate attributable fractions and number of excess deaths, adjusted for confounding factors and for effect modification by age. Number of excess deaths in 2000 associated with given BMI levels. Relative to the normal weight category (BMI 18.5 to or =30) was associated with 111,909 excess deaths (95% confidence interval [CI], 53,754-170,064) and underweight with 33,746 excess deaths (95% CI, 15,726-51,766). Overweight was not associated with excess mortality (-86,094 deaths; 95% CI, -161,223 to -10,966). The relative risks of mortality associated with obesity were lower in NHANES II and NHANES III than in NHANES I. Underweight and obesity, particularly higher levels of obesity, were associated with increased mortality relative to the normal weight category. The impact of obesity on mortality may have decreased over time, perhaps because of improvements in public health and medical care. These findings are consistent with the increases in life expectancy in the United States and the declining mortality rates from ischemic heart disease.

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Quality of life and diabetes.

R R Rubin, M Peyrot (1999)

Quality of life is an important health outcome in its own right, representing the ultimate goal of all health interventions. This paper reviews the published, English-language literature on self-perceived quality of life among adults with diabetes. Quality of life is measured as physical and social functioning, and perceived physical and mental well-being. People with diabetes have a worse quality of life than people with no chronic illness, but a better quality of life than people with most other serious chronic diseases. Duration and type of diabetes are not consistently associated with quality of life. Intensive treatment does not impair quality of life, and having better glycemic control is associated with better quality of life. Complications of diabetes are the most important disease-specific determinant of quality of life. Numerous demographic and psychosocial factors influence quality of life and should be controlled when comparing subgroups. Studies of clinical and educational interventions suggest that improving patients' health status and perceived ability to control their disease results in improved quality of life. Methodologically, it is important to use multidimensional assessments of quality of life, and to include both generic and disease-specific measures. Quality of life measures should be used to guide and evaluate treatment interventions. Copyright 1999 John Wiley & Sons, Ltd.

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Author and article information

Contributors

Yongjian Xu: xyjdyx@126.com

Zhongliang Zhou: zzliang1981@163.com

Yanli Li: 13589683885@163.com

Jinjuan Yang: yangjinjuan@gmail.com

Xiaoyuan Guo: guoxy@mail.xjtu.edu.cn

Jianmin Gao: gaojm@mail.xjtu.edu.cn

Ju’e Yan: yanjue@mail.xjtu.edu.cn

Gang Chen: gang.chen@flinders.edu.au

Journal

Journal ID (nlm-ta): Health Qual Life Outcomes

Journal ID (iso-abbrev): Health Qual Life Outcomes

Title: Health and Quality of Life Outcomes

Publisher: BioMed Central (London )

ISSN (Electronic): 1477-7525

Publication date (Electronic): 23 September 2015

Publication date PMC-release: 23 September 2015

Publication date Collection: 2015

Volume: 13

Electronic Location Identifier: 153

Affiliations

[ ]School of Public Health, Health Science Center, Xi’an Jiaotong University, P.O Box 86, No. 76 West Yanta Road, Xi’an, Shaanxi 710061 China

[ ]School of Public Policy and Administration, Xi’an Jiaotong University, Xi’an, China

[ ]School of Medicine, Flinders University, Adelaide, Australia

Article

Publisher ID: 347

DOI: 10.1186/s12955-015-0347-9

PMC ID: 4580353

PubMed ID: 26395980

SO-VID: ece66fce-e3bf-4a69-8488-5c0f42e84bd5

License:

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

History

Date received : 21 May 2015

Date accepted : 12 September 2015

Custom metadata

ScienceOpen disciplines: Health & Social care

Keywords: health-related quality of life,body mass index,eq-5d,underweight,obese

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ScienceOpen disciplines: Health & Social care

Keywords: health-related quality of life, body mass index, eq-5d, underweight, obese

Exploring the nonlinear relationship between body mass index and health-related quality of life among adults: a cross-sectional study in Shaanxi Province, China

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Abstract

Introduction

Methods

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Conclusion

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Karger: Nutrition and Dietetics

Most cited references 34

Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013.

Excess deaths associated with underweight, overweight, and obesity.

Quality of life and diabetes.

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