Classification tree analyses reveal limited potential for early targeted prevention against childhood overweight

Obesity (Silver Spring). 2014 Feb;22(2):512-7. doi: 10.1002/oby.20628. Epub 2013 Oct 17.

Abstract

Objective: Whether specific combinations of risk factors in very early life might allow identification of high-risk target groups for overweight prevention programs was examined.

Design and methods: Data of n = 8981 children from the German KiGGS study were analyzed. Using a classification tree approach, predictive risk factor combinations were assessed for overweight in 3-6, 7-10, and 11-17-year-old children.

Results: In preschool children, the subgroup with the highest overweight risk were migrant children with at least one obese parent, with a prevalence of 36.6 (95% confidence interval or CI: 22.9, 50.4)%, compared to an overall prevalence of 10.0 (8.9, 11.2)%. The prevalence of overweight increased from 18.3 (16.8, 19.8)% to 57.9 (46.6, 69.3)% in 7-10-year-old children, if at least one parent was obese and the child had been born large-for-gestational-age. In 11-17-year-olds, the overweight risk increased from 20.1 (18.9, 21.3)% to 63.0 (46.4, 79.7)% in the highest risk group. However, high prevalence ratios were found only in small subgroups, containing <10% of all overweight cases in the respective age group.

Conclusions: Our results indicate only a limited potential for early targeted preventions against overweight in children and adolescents.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adolescent Development*
  • Adolescent Nutritional Physiological Phenomena*
  • Body Mass Index
  • Child
  • Child Development*
  • Child Nutritional Physiological Phenomena*
  • Child, Preschool
  • Cohort Studies
  • Cross-Sectional Studies
  • Family Health
  • Female
  • Germany / epidemiology
  • Humans
  • Male
  • Models, Biological*
  • Nutrition Surveys
  • Overweight / epidemiology
  • Overweight / prevention & control*
  • Parents
  • Prevalence
  • Retrospective Studies
  • Risk Factors
  • Transients and Migrants