title: Association between socioeconomic status and obesity in a Chinese adult population.
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.
authors.affiliation: Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou Zhejiang, China.
authors.forename: Yuanyuan
authors.initials: Y
authors.lastname: Xiao
authors.forename: Naiqing
authors.initials: N
authors.lastname: Zhao
authors.forename: Hao
authors.initials: H
authors.lastname: Wang
authors.forename: Jie
authors.initials: J
authors.lastname: Zhang
authors.forename: Qingfang
authors.initials: Q
authors.lastname: He
authors.forename: Danting
authors.initials: D
authors.lastname: Su
authors.forename: Ming
authors.initials: M
authors.lastname: Zhao
authors.forename: Lixin
authors.initials: L
authors.lastname: Wang
authors.forename: Xinwei
authors.initials: X
authors.lastname: Zhang
authors.forename: Weiwei
authors.initials: W
authors.lastname: Gong
authors.forename: Ruying
authors.initials: R
authors.lastname: Hu
authors.forename: Min
authors.initials: M
authors.lastname: Yu
authors.forename: Gangqiang
authors.initials: G
authors.lastname: Ding
authors.forename: Liming
authors.initials: L
authors.lastname: Cong
authors.forename: Zhen
authors.initials: Z
authors.lastname: Ye
mesh_terms: D000328:Adult; D015992:Body Mass Index; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D007722:Health Knowledge, Attitudes, Practice; D006306:Health Surveys; D006801:Humans; D016015:Logistic Models; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology*; D056128:Obesity, Abdominal / Q000453:epidemiology; D012111:Residence Characteristics; D012307:Risk Factors; D012923:Social Class; D055105:Waist Circumference