Association between socioeconomic status and obesity in a Chinese adult population

BMC Public Health. 2013 Apr 17:13:355. doi: 10.1186/1471-2458-13-355.

Abstract

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.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Body Mass Index
  • China / epidemiology
  • Cross-Sectional Studies
  • Female
  • Health Knowledge, Attitudes, Practice
  • Health Surveys
  • Humans
  • Logistic Models
  • Male
  • Metabolic Syndrome / epidemiology
  • Middle Aged
  • Obesity / epidemiology*
  • Obesity, Abdominal / epidemiology
  • Residence Characteristics
  • Risk Factors
  • Social Class*
  • Waist Circumference