Lack of association between television viewing, soft drinks, physical activity and body mass index in children

Acta Paediatr. 2008 Jun;97(6):795-800. doi: 10.1111/j.1651-2227.2008.00713.x. Epub 2008 Apr 9.

Abstract

Objective: To examine the cross-sectional and longitudinal associations of physical activity, screen time and dietary habits on the body mass index (BMI) of children.

Methods: A cohort of 122 girls and 146 boys (age at entry 10 years) from three rural states in the western USA was studied over an 18-month period. Subjects were measured for height and weight. Habitual physical activity, screen time (television viewing, video games and computer use) and dietary variables were assessed by a questionnaire. Cross-sectional and longitudinal analyses were conducted to examine the associations between physical activity, screen time and diet with BMI at baseline and follow-up and change in BMI.

Results: At baseline, approximately 10% of boys and girls were obese and 17.8% of boys and 14.8% of girls were overweight. BMI showed a high degree of stability for boys and girls (r = 0.90), whereas physical activity, screen time and dietary habits showed moderate stability (r = 0.31-0.50) across the 18-month period. Cross-sectional and longitudinal correlations between physical activity, screen time, diet and BMI were low and non-significant (r < 0.15). The regression models explained between 8% and 22% of the variance in the change in BMI; however, none of the predictor variables were statistically significant.

Conclusion: Physical activity, screen time and dietary habits were not significantly related to the BMI in cross-sectional or longitudinal analyses. Further research is warranted to better understand the complex, multifactorial phenotype of the BMI in growing and maturing children.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Body Mass Index*
  • Carbonated Beverages*
  • Child
  • Cross-Sectional Studies
  • Feeding Behavior
  • Female
  • Humans
  • Longitudinal Studies
  • Male
  • Motor Activity*
  • Nutritional Status
  • Obesity / etiology
  • Overweight / etiology
  • Risk Factors
  • Rural Population
  • Surveys and Questionnaires
  • Television*
  • Time Factors