title: Epidemiology of general obesity, abdominal obesity and related risk factors in urban adults from 33 communities of Northeast China: the CHPSNE study.
abstract: BACKGROUND
  Obesity increases the risk of many diseases. However, there has been little literature about the epidemiology of obesity classified by body mass index (BMI) or waist (abdominal obesity) among urban Chinese adults. This study is to fill the gap by assessing the prevalence of obesity and associated risk factors among urban Chinese adults.
  
  
  METHODS
  A representative sample of 25,196 urban adults aged 18 to 74 years in Northeast China was selected and measurements of height, weight and waist circumference (WC) were taken from 2009-2010. Definitions of overweight and obesity by the World Health Organization (WHO) were used.
  
  
  RESULTS
  The overall prevalence rates of general obesity and overweight classified by BMI were 15.0% (15.7% for men and 14.3% for women, p<0.01) and 19.2% (20.8% for men and 17.7% for women, p<0.01), respectively, and the overall prevalence rate of abdominal obesity was 37.6% (31.1% for men and women 43.9% for women, p<0.01). Multivariable logistic regression showed that the elderly and those who had a history of parental obesity, alcohol drinking, or former cigarette smoking were at high risk of obesity classified by BMI or WC, whereas those with a higher level of education, higher family income, or a healthy and balanced diet were at low risk of obesity. Analysis stratified by gender showed that men with a higher level education level, a white-collar job, a cadre job, or higher family income were the high risk group, and women with a higher level of education or higher family income were the low risk group.
  
  
  CONCLUSIONS
  Obesity and overweight have become epidemic in urban populations in China; associations of risk factors with obesity differ between men and women.
authors.affiliation: Department of Anesthesiology, The First Affiliated Hospital of Liaoning Medical University, Jinzhou, 121001, PR China. wh54315@163.com
authors.forename: Hao
authors.initials: H
authors.lastname: Wang
authors.forename: Jing
authors.initials: J
authors.lastname: Wang
authors.forename: Miao-Miao
authors.initials: MM
authors.lastname: Liu
authors.forename: Da
authors.initials: D
authors.lastname: Wang
authors.forename: Yu-Qin
authors.initials: YQ
authors.lastname: Liu
authors.forename: Yang
authors.initials: Y
authors.lastname: Zhao
authors.forename: Mei-Meng
authors.initials: MM
authors.lastname: Huang
authors.forename: Yang
authors.initials: Y
authors.lastname: Liu
authors.forename: Jing
authors.initials: J
authors.lastname: Sun
authors.forename: Guang-Hui
authors.initials: GH
authors.lastname: Dong
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D015992:Body Mass Index; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009765:Obesity / Q000453:epidemiology*; D056128:Obesity, Abdominal / Q000453:epidemiology*; D015995:Prevalence; D012307:Risk Factors; D017678:Sex Distribution; D012959:Socioeconomic Factors; D014504:Urban Health / Q000706:statistics & numerical data*; D055815:Young Adult