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

Am J Clin Nutr

School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, Victoria 3125, Australia.

Published: April 2006

AI Article Synopsis

  • Researchers aimed to create and validate a predictive equation for understanding how changes in total energy intake (TEI) or total energy expenditure (TEE) affect children's weight.
  • In their study involving 963 children, they found that TEE strongly correlated with weight, explaining 74% of the variance, and developed an equation to predict weight changes based on energy flux.
  • The results indicate that higher total energy intake is a key factor in increased body weight, showing that a 10% difference in energy flux between populations results in a 4.5% difference in average weight.

Article 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.

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Source
http://dx.doi.org/10.1093/ajcn/83.4.859DOI Listing

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