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Association between socioeconomic status and obesity in a Chinese adult population
BACKGROUND: Existing studies which regarding to the association between individual socioeconomic status (SES) and obesity are still scarce in developing countries. The major aim of this study is to estimate such association in an adult population which was drawn from an economically prosperous provi...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3656807/ https://www.ncbi.nlm.nih.gov/pubmed/23590682 http://dx.doi.org/10.1186/1471-2458-13-355 |
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author | Xiao, Yuanyuan Zhao, Naiqing Wang, Hao Zhang, Jie He, Qingfang Su, Danting Zhao, Ming Wang, Lixin Zhang, Xinwei Hu, Ruying Yu, Min Ye, Zhen |
author_facet | Xiao, Yuanyuan Zhao, Naiqing Wang, Hao Zhang, Jie He, Qingfang Su, Danting Zhao, Ming Wang, Lixin Zhang, Xinwei Hu, Ruying Yu, Min Ye, Zhen |
author_sort | Xiao, Yuanyuan |
collection | PubMed |
description | BACKGROUND: Existing studies which regarding to the association between individual socioeconomic status (SES) and obesity are still scarce in developing countries. The major aim of this study is to estimate such association in an adult population which was drawn from an economically prosperous province of China. METHODS: Study population was determined by multilevel randomized sampling. Education and income were chosen as indicators of individual SES, general obesity and abdominal obesity were measured by body mass index (BMI) and waist circumference (WC). Descriptive statistical methods were used to depict overall and factor-specific distributions of general and abdominal obesity among 16,013 respondents. Two-step logistic regression models were fitted on gender basis. RESULTS: The age-and-sex adjusted rates of general overweight, general obesity, abdominal overweight and abdominal obesity in study population were 28.9% (95%CI: 27.9%-29.9%), 7.5% (95%CI: 7.0%-8.1%), 32.2% (95%CI: 31.2%-33.3%) and 12.3% (95%CI: 11.6%-13.1%), respectively. Based on model fitting results, a significant inverse association between education and obesity only existed in women, while in men, income rather than education was positively related to obesity. CONCLUSIONS: The atypical SES-obesity relationship we found reflected the on-going social economy transformation in affluent regions of China. High-income men and poorly-educated women were at higher risk of obesity in Zhejiang province, thus merit intense focuses. |
format | Online Article Text |
id | pubmed-3656807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-36568072013-05-18 Association between socioeconomic status and obesity in a Chinese adult population Xiao, Yuanyuan Zhao, Naiqing Wang, Hao Zhang, Jie He, Qingfang Su, Danting Zhao, Ming Wang, Lixin Zhang, Xinwei Hu, Ruying Yu, Min Ye, Zhen BMC Public Health Research Article BACKGROUND: Existing studies which regarding to the association between individual socioeconomic status (SES) and obesity are still scarce in developing countries. The major aim of this study is to estimate such association in an adult population which was drawn from an economically prosperous province of China. METHODS: Study population was determined by multilevel randomized sampling. Education and income were chosen as indicators of individual SES, general obesity and abdominal obesity were measured by body mass index (BMI) and waist circumference (WC). Descriptive statistical methods were used to depict overall and factor-specific distributions of general and abdominal obesity among 16,013 respondents. Two-step logistic regression models were fitted on gender basis. RESULTS: The age-and-sex adjusted rates of general overweight, general obesity, abdominal overweight and abdominal obesity in study population were 28.9% (95%CI: 27.9%-29.9%), 7.5% (95%CI: 7.0%-8.1%), 32.2% (95%CI: 31.2%-33.3%) and 12.3% (95%CI: 11.6%-13.1%), respectively. Based on model fitting results, a significant inverse association between education and obesity only existed in women, while in men, income rather than education was positively related to obesity. CONCLUSIONS: The atypical SES-obesity relationship we found reflected the on-going social economy transformation in affluent regions of China. High-income men and poorly-educated women were at higher risk of obesity in Zhejiang province, thus merit intense focuses. BioMed Central 2013-04-17 /pmc/articles/PMC3656807/ /pubmed/23590682 http://dx.doi.org/10.1186/1471-2458-13-355 Text en Copyright © 2013 Xiao et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Xiao, Yuanyuan Zhao, Naiqing Wang, Hao Zhang, Jie He, Qingfang Su, Danting Zhao, Ming Wang, Lixin Zhang, Xinwei Hu, Ruying Yu, Min Ye, Zhen Association between socioeconomic status and obesity in a Chinese adult population |
title | Association between socioeconomic status and obesity in a Chinese adult population |
title_full | Association between socioeconomic status and obesity in a Chinese adult population |
title_fullStr | Association between socioeconomic status and obesity in a Chinese adult population |
title_full_unstemmed | Association between socioeconomic status and obesity in a Chinese adult population |
title_short | Association between socioeconomic status and obesity in a Chinese adult population |
title_sort | association between socioeconomic status and obesity in a chinese adult population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3656807/ https://www.ncbi.nlm.nih.gov/pubmed/23590682 http://dx.doi.org/10.1186/1471-2458-13-355 |
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