title: Time trends of obesity in pre-school children in China from 1989 to 1997.
abstract: OBJECTIVE
  To examine predictors and time trends of obesity in pre-school children in China.
  
  
  METHODS
  This study was based on data from China Health and Nutrition Survey, a longitudinal survey from 1989 to 1997.
  
  
  METHODS
  For cross-sectional analysis, we included 944, 1058, 903 and 483 children aged 2-6 y in 1989, 1991, 1993 and 1997, respectively. For longitudinal analysis, we included 944 children and 3146 measurements during four time periods.
  
  
  METHODS
  Overweight and obesity according to age- and sex-specific BMI cut-off points proposed by International Obesity Task Force.
  
  
  RESULTS
  The overall prevalence of obesity increased from 4.2% in 1989 to 6.4% in 1997 among children aged 2-6 y. The increase largely occurred in urban areas, where the prevalence of obesity increased from 1.5% in 1989 to 12.6% in 1997 and prevalence of overweight increased from 14.6 to 28.9% at the same period. Longitudinal analysis shows BMI increased by 0.2 kg/m2 per year in urban areas and 0.1 kg/m2 per year in rural areas. In multivariate analysis, overweight in early childhood (2-6 y), parental overweight, high income and urban areas independently predicted overweight at age 10-14 y.
  
  
  CONCLUSIONS
  A substantial increase in overweight and obesity among children aged 2-6 y was observed in urban areas in China from 1989 to 1997. Overweight in early childhood significantly predicted overweight during adolescence. Urgent public health strategies are needed to prevent childhood obesity in China.
authors.affiliation: Takemi Program, Harvard School of Public Health, Boston, Massachusetts 02115, USA.
authors.forename: J
authors.initials: J
authors.lastname: Luo
authors.forename: F B
authors.initials: FB
authors.lastname: Hu
mesh_terms: D000367:Age Factors; D015992:Body Mass Index; D002648:Child; D002675:Child, Preschool; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D009765:Obesity / Q000453:epidemiology*; D012737:Sex Factors; D014505:Urban Population