[Family risk factors of overweight and obesity in preschool children]

Zhonghua Er Ke Za Zhi. 2007 Mar;45(3):172-5.
[Article in Chinese]

Abstract

Objective: To explore family risk factors of overweight and obesity focusing on parental characteristics, feeding practice and lifestyle.

Methods: Five kindergartens were selected randomly from two of all the six urban districts in Beijing. The body height and weight of all the children in the 5 kindergartens were measured in light clothing and without shoes. Information on parental characteristics, dietary habits, lifestyle, and feeding practice was collected from 1173 families by parental self-report questionnaires in the 5 kindergartens. Overweight and obesity were defined according to sex- and age-specific body mass index (BMI) cut-points proposed by the International Obesity Task Force. Correlations and multivariate regression analysis was used to explore risk factors of child overweight and obesity.

Results: The prevalence of overweight and obesity was 6.9% and 4.1%, respectively, among the sample children. Significantly more overweight and obese children were from obese families (15.2%) than they were from non-obese families (7.5%). Significant associations could be observed between children and parents' characteristics for BMI, frequency of eating in restaurant, television-watching hours, and physical activity hours. Parental obesity, low maternal education level and television watching for > 2 h/d were risk factors of child overweight and obesity after adjusting for sex, age, family income, and kindergarten.

Conclusions: Child overweight and obesity were influenced by family environment. Strategies for prevention should include identified family risk factors.

Publication types

  • English Abstract

MeSH terms

  • Body Height
  • Body Mass Index
  • Body Weight
  • Child, Preschool
  • Exercise
  • Feeding Behavior
  • Humans
  • Life Style
  • Multivariate Analysis
  • Obesity / epidemiology*
  • Overweight / epidemiology*
  • Parents
  • Prevalence
  • Regression Analysis
  • Risk Factors
  • Television