A simple assessment of physical activity is associated with obesity and motor fitness in pre-school children

Public Health Nutr. 2009 Aug;12(8):1242-7. doi: 10.1017/S1368980008003753. Epub 2008 Sep 30.

Abstract

Objective: Physical activity is an important determinant of energy balance. However, its impact on overweight/obesity has proved difficult to measure in pre-school children and few studies have found significant associations. A set of simple questions was used to distinguish pre-school children with high and low physical activity, and the association of this classification with childhood overweight/obesity and performance in an established motor test was investigated.

Design: Survey, cross-sectional.

Setting and subjects: Weight and height were measured in 12,556 children taking part in the obligatory school entrance health examination 2004-5 and 2005-6 in three urban and three rural Bavarian regions. Their parents were asked to answer a questionnaire with a set of questions on physical activity.

Results: The mean age of the children evaluated was 5.78 (sd 0.43) years, 6535 (52.1 %) were boys. Physically active children were less likely to be overweight (OR = 0.786, 95 % CI 0.687, 0.898) or obese (OR = 0.655, 95 % CI 0.506, 0.849) and achieved 6.7 (95 % CI 5.8, 7.7) % more jumps per 30 s than less active children in a motor test, adjusted for a number of potentially confounding variables.

Conclusions: Classification of pre-school children as physically active or not, based on a small set of questions, revealed significant associations with overweight/obesity and a motor test. Once further validated, this classification might provide a valuable tool to assess the impact of physical activity on the risk of childhood overweight and obesity.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adult
  • Child, Preschool
  • Classification / methods
  • Cross-Sectional Studies
  • Exercise*
  • Female
  • Germany
  • Health Surveys
  • Humans
  • Logistic Models
  • Male
  • Multivariate Analysis
  • Obesity*
  • Overweight*
  • Physical Fitness*
  • Poisson Distribution
  • Reproducibility of Results
  • Risk Factors