Estimating the effects of energy imbalance on changes in body weight in children

Am J Clin Nutr. 2006 Apr;83(4):859-63. doi: 10.1093/ajcn/83.4.859.

Abstract

Background: Estimating changes in weight from changes in energy balance is important for predicting the effect of obesity prevention interventions.

Objective: The objective was to develop and validate an equation for predicting the mean weight of a population of children in response to a change in total energy intake (TEI) or total energy expenditure (TEE).

Design: In 963 children with a mean (+/-SD) age of 8.1 +/- 2.8 y (range: 4-18 y) and weight of 31.5 +/- 17.6 kg, TEE was measured by using doubly labeled water. Log weight (dependent variable) and log TEE (independent variable) were analyzed in a linear regression model with height, age, and sex as covariates. It was assumed that points of dynamic balance, called "settling points," occur for populations wherein energy is in balance (TEE = TEI), weight is stable (ignoring growth), and energy flux (EnFlux) equals TEE.

Results: TEE (or EnFlux) explained 74% of the variance in weight. The unstandardized regression coefficient was 0.45 (95% CI: 0.38, 0.51; R(2) = 0.86) after including covariates. Conversion into proportional changes (time(1) to time(2)) gave the equation (weight(2)/weight(1)) = (EnFlux(2)/EnFlux(1))(0.45). In 3 longitudinal studies (n = 212; mean follow-up of 3.4 y), the equation predicted the mean follow-up measured weight to within 0.5%.

Conclusions: The relation of EnFlux with weight was positive, which implied that a high TEI (rather than low physical activity and low TEE) was the main determinant of high body weight. Two populations of children with a 10% difference in mean EnFlux would have a 4.5% difference in mean weight.

Publication types

  • Multicenter Study
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adolescent
  • Age Factors
  • Body Height
  • Body Water / metabolism
  • Child
  • Child, Preschool
  • Cross-Sectional Studies
  • Energy Intake / physiology*
  • Energy Metabolism / physiology*
  • Ethnicity
  • Exercise / physiology*
  • Female
  • Humans
  • Linear Models
  • Male
  • Models, Biological
  • Obesity / etiology
  • Obesity / prevention & control*
  • Predictive Value of Tests