Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on sleep in brain health

LIVE: Thursday 2nd May 2024, 18:00-19:30 (CEST)

Quality sleep is essential for health. But what happens to our brains when sleep patterns are disturbed? Join our experts to explore the interplay between sleep disruption and neurological diseases, and the questions that you need to be asking your patients to help you prevent the harmful effects of sleep deprivation.
ADVANCED SEARCH
Log in
Top
BMC Public Health
Published in: BMC Public Health 1/2017

Open Access 01-12-2017 | Research article

The association between self-rated health and different anthropometric and body composition measures in the Chinese population

Authors: Kun Tang, Yingxi Zhao, Chunyan Li

Published in: BMC Public Health | Issue 1/2017

Login to get access

Abstract

Background

To analyze the strength of association between self-rated health and six anthropometric and body composition measures to explore the best indicator.

Methods

Analyses were based on the cross-sectional data from the China Kadoorie Biobank Study and approximately 300,000 adults were analyzed. Logistics regression was used to analyze the association between self-rated health (good or poor) and anthropometric and body composition measures (height, weight, body mass index (BMI), waist circumference (WC), hip circumference (HC) and body fat percentage, waist-to-hip ratio and waist-to-height ratio). Stratified analyses were undertaken to understand the effect modification of socioeconomic status on the association.

Result

Odds ratio of self-rated better health had an inverted U-shape association with weight, BMI, WC and body fat, with weight levels increasing until around 73.8 and 65.7 kg for male and female, BMI around 26.8 kg/m2, WC around 85.8 and 87.6 cm, body fat around 24.3 and 36.3%, and then declining thereafter. Height and HC also indicated a slightly inverted U-shape association. The strongest association was observed after adjustment was weight, with one standard deviation greater weight associated with 10.2% and 10.6% increased odds in male and female.

Conclusions

Being underweight and overweight are both risk factors for poor self-rated health in males and females, and weight is the best indicator of self-rated health compared with other measures.
Literature
1.
Martikainen MG, Aromaa A, Heliovaara M, Dlaukka T, Knekt P, Maatele J, Lahelma E. Reliability of perceived health by sex and age. Soc Sci Med. 1999;48:1117–22.CrossRefPubMed
2.
3.
Idler EL, Benyamini Y. Self-rated health and mortality: a review of twenty-seven community studies. Journal of Health & Social Behavior. 1997;38(1):21–37.CrossRef
4.
Roberts G. Age effects and health appraisal: A meta-analysis. J Gerontol B Psychol Sci Soc Sci. 1999;54B:S24–30.CrossRef
5.
6.
Popham F, Gray L, Bambra C, et al. Employment status and the prevalence of poor self-rated health. Findings from UK individual-level repeated cross-sectional data from 1978 to 2004. BMJ Open. 2012;2(6):1285–95.
7.
Jonnalagadda SS, Diwan S. Health behaviors, chronic disease prevalence and self-rated health of older Asian Indian immigrants in the U.S. J Immigr Health. 2005;7(2):75–83.CrossRefPubMed
8.
Farmer NM, Ferraro KF. Distress and perceived health: mechanisms of health decline. J Health Soc Behav. 1997;38(3):298–311.CrossRefPubMed
9.
Imai K, Gregg EW, Chen YJ, et al. The Association of BMI With Functional Status and Self-rated Health in US Adults. Obesity. 2008;16(2):402–8.CrossRefPubMed
10.
Prosper MH, Moczulski VL, Qureshi A. Obesity as a predictor of self-rated health. Am J Health Behav. 2009;33(3):319–29.CrossRefPubMed
11.
Herman KM, Hopman WM, Rosenberg MW. Erratum to: Self-rated health and life satisfaction among Canadian adults: associations of perceived weight status versus BMI. Qual Life Res. 2013;22(10):2693–705.CrossRefPubMed
12.
Cullinan J, Gillespie P. Does Overweight and Obesity Impact on Self‐Rated Health? Evidence Using Instrumental Variables Ordered Probit Models. Health Economics. 2015;25(10):1341–8.
13.
Marques-Vidal P, Ravasco P, Paccaud F. Differing trends in the association between obesity and self-reported health in Portugal and Switzerland. Data from national health surveys 1992–2007. BMC Public Health. 2011;12(1):1–8.
14.
Park JH, Lee KS. Self-rated health and its determinants in Japan and South Korea. Public Health. 2013;127(9):834–43.CrossRefPubMed
15.
Ha Y, Park H. Association between Obesity and Self-Rated Health in Korean Males and Females. Journal of Korean Biological Nursing Science. 2012;14:3.CrossRef
16.
Gómez-Ambrosi J, Silva C, Galofré JC, et al. Body Adiposity and Type 2 Diabetes: Increased Risk With a High Body Fat Percentage Even Having a Normal BMI. Obesity. 2011;19(7):1439–44.CrossRefPubMed
17.
Burton RF. Waist circumference as an indicator of adiposity and the relevance of body height. Med Hypotheses. 2010;75(1):115–9.CrossRefPubMed
18.
Sarría A, Moreno LA, Garcí-Liop LA, et al. Body mass index, triceps skinfold and waist circumference in screening for adiposity in male children and adolescents. Acta Paediatr. 2001;90(4):387–92.CrossRefPubMed
19.
Feng Z, Wang WW, Jones K, et al. An exploratory multilevel analysis of income, income inequality and self-rated health of the elderly in China. Soc Sci Med. 2012;75(12):2481–92.CrossRefPubMedPubMedCentral
20.
Luo J, Qu Z, Rockett I, et al. Employment status and self-rated health in north-western China. Public Health. 2010;124(3):174–9.CrossRefPubMed
21.
Liu G, Zhen Z. Sociodemographic Differentials of the Self-Rated Health of the Oldest-Old Chinese. Population Research & Policy Review. 2004;23(2):117–33.CrossRef
22.
Chen Z, Lee L, Chen J, et al. Cohort profile: the Kadoorie Study of Chronic Disease in China (KSCDC). Int J Epidemiol. 2005;34:1243–9.CrossRefPubMed
23.
Chen Z, Chen J, Collins R, et al. China Kadoorie Biobank of 0.5 million people: survey methods, baseline characteristics and long-term follow-up. Int J Epidemiol. 2011;40:1652–66.CrossRefPubMedPubMedCentral
24.
Du H, Bennett D, Li L, et al. Physical activity and sedentary leisure time and their associations with BMI, waist circumference, and percentage body fat in 0.5 million adults: the China Kadoorie Biobank study. Am J Clin Nutr. 2013;97(3):487–96.CrossRefPubMedPubMedCentral
25.
Kotsopoulos J, Baer HJ, Tworoger SS, et al. Anthropometric Measures and Risk of Epithelial Ovarian Cancer: Results From the Nurses’ Health Study. Obesity. 2010;18(8):1625–31.CrossRefPubMed
26.
Rimm EB, Stampfer MJ, Giovannucci E, et al. Body Size and Fat Distribution as Predictors of Coronary Heart Disease among Middle-aged and Older US Men. Am J Epidemiol. 1995;141(12):1117–27.CrossRefPubMed
27.
Wang A, Arah OA. Body Mass Index and Poor Self-Rated Health in 49 Low-Income and Middle-Income Countries, By Sex, 2002-2004. Prev Chronic Dis. 2014;12(8):E133.
28.
Asfar T, Ahmad B, Rastam S, et al. Self-rated health and its determinants among adults in Syria: a model from the Middle East. BMC Public Health. 2006;7(17):1–9.
29.
Miyatake N, Matsumoto S, Miyachi M, et al. Relationship between changes in body weight and waist circumference in Japanese. Environ Health Prev Med. 2007;12(5):220–3.CrossRefPubMedPubMedCentral
30.
Puhl RM, Heuer CA. The Stigma of Obesity: A Review and Update. Obesity. 1930;17(5):941–64.CrossRef
31.
Brewis AA, Hruschka DJ, Wutich A. Vulnerability to fat-stigma in women's everyday relationships. Soc Sci Med. 2011;73:491–7.CrossRefPubMed
Metadata
Title
The association between self-rated health and different anthropometric and body composition measures in the Chinese population
Authors
Kun Tang
Yingxi Zhao
Chunyan Li
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2017
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-017-4249-0

Other articles of this Issue 1/2017

BMC Public Health 1/2017 Go to the issue

Research article

Menthol cigarettes and the public health standard: a systematic review

Research article

Maternal-child co-participation in physical activity-related behaviours: prevalence and cross-sectional associations with mothers and children’s objectively assessed physical activity levels

Research article

Neighborhood walk score and selected Cardiometabolic factors in the French RECORD cohort study

Research article

Development of the health literacy on social determinants of health questionnaire in Japanese adults

Research article

Short sickness absence and subsequent sickness absence due to mental disorders - a follow-up study among municipal employees

Research article

Association of socioeconomic, school-related and family factors and physical activity and sedentary behaviour among adolescents: multilevel analysis of the PRALIMAP trial inclusion data