title: A comparison study on the prevalence of obesity and its associated factors among city, township and rural area adults in China.
abstract: OBJECTIVE
  To explore the association of dietary behaviour factors on obesity among city, township and rural area adults.
  
  
  METHODS
  A stratified cluster sampling technique was employed in the present cross-sectional study. On the basis of socioeconomic characteristics, two cities, two townships and two residential villages were randomly selected where the investigation was conducted.
  
  
  METHODS
  A total of 1770 city residents, 2071 town residents and 1736 rural area residents participated in this survey.
  
  
  METHODS
  Dietary data were collected through interviews with each household member. Anthropometric values were measured. Participants with a body mass index (BMI) of ≥28.0 kg/m(2) were defined as obesity.
  
  
  RESULTS
  The prevalence of obesity was 10.1%, 7.3% and 6.5% among city, township and rural area adults, respectively. Correlation analysis showed that for adults living in cities, the daily intake of rice and its products, wheat flour and its products, light coloured vegetables, pickled vegetables, nut, pork and sauce was positively correlated with BMI (r=0.112, 0.084, 0.109, 0.129, 0.077, 0.078, 0.125, p<0.05), while the daily intake of tubers, dried beans, milk and dairy products was negatively correlated with BMI (r=-0.086, -0.078, -0.116, p<0.05). For township residents, the daily intake of vegetable oil, salt, chicken essence, monosodium glutamate and sauce was positively correlated with BMI (r=0.088, 0.091, 0.078, 0.087, 0.189, p<0.05). For rural area residents, the daily intake of pork, fish and shrimp, vegetable oil and salt was positively correlated with BMI (r=0.087, 0.122, 0.093, 0.112, p<0.05), while the daily intake of dark coloured vegetables was negatively correlated with BMI (r=-0.105, p<0.05).
  
  
  CONCLUSIONS
  The prevalence of obesity was higher among city residents than among township and rural area residents. The findings of this study indicate that demographic and dietary factors could be associated with obesity among adults. Healthy dietary behaviour should be promoted and the ongoing monitoring of population nutrition and health status remains crucially important.
authors.affiliation: Nutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Zou
authors.affiliation: Nutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
authors.forename: Ronghua
authors.initials: R
authors.lastname: Zhang
authors.affiliation: Nutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
authors.forename: Biao
authors.initials: B
authors.lastname: Zhou
authors.affiliation: Nutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
authors.forename: Lichun
authors.initials: L
authors.lastname: Huang
authors.affiliation: Nutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
authors.forename: Jiang
authors.initials: J
authors.lastname: Chen
authors.affiliation: Nutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
authors.forename: Fang
authors.initials: F
authors.lastname: Gu
authors.affiliation: Nutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
authors.forename: Hexiang
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Nutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
authors.forename: Yueqiang
authors.initials: Y
authors.lastname: Fang
authors.affiliation: National Institute for Nutrition and Health, Beijing, China.
authors.forename: Gangqiang
authors.initials: G
authors.lastname: Ding
mesh_terms: D000328:Adult; D000368:Aged; D015992:Body Mass Index; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D004032:Diet; D005260:Female; D005502:Food; D006801:Humans; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology*; D015995:Prevalence; D012307:Risk Factors; D012424:Rural Population / Q000706:statistics & numerical data*; D012959:Socioeconomic Factors; D013383:Suburban Population / Q000706:statistics & numerical data*; D014505:Urban Population / Q000706:statistics & numerical data*
keywords: NUTRITION & DIETETICS; PREVENTIVE MEDICINE; PUBLIC HEALTH