| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|
|
|
|||||||
|
|||||||||
ORIGINAL RESEARCH COMMUNICATION |
1 From the Schools of Exercise and Nutrition Sciences (BAS and PJK) and of Health and Social Development (DJ), Deakin University, Burwood, Australia; the National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ (ADS); and Pennington Biomedical Research Center, Baton Rouge, LA (ER)
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; R2 = 0.86) after including covariates. Conversion into proportional changes (time1 to time2) gave the equation (weight2/weight1) = (EnFlux2/EnFlux1)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.
Key Words: Energy intake • energy expenditure • energy balance • weight change • children
This article has been cited by other articles:
|
|
 |
|
  J. L. Veerman, E. F. Van Beeck, J. J. Barendregt, and J. P. Mackenbach By how much would limiting TV food advertising reduce childhood obesity? Eur J Public Health, August 1, 2009; 19(4): 365 - 369. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 B. Morley, M. Wakefield, S. Dunlop, and D. Hill Impact of a mass media campaign linking abdominal obesity and cancer: a natural exposure evaluation Health Educ. Res., July 1, 2009; (2009) cyp034v1. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 B. A Swinburn, G. Sacks, S. K. Lo, K. R Westerterp, E. C Rush, M. Rosenbaum, A. Luke, D. A Schoeller, J. P DeLany, N. F Butte, et al. Estimating the changes in energy flux that characterize the rise in obesity prevalence Am. J. Clinical Nutrition, June 1, 2009; 89(6): 1723 - 1728. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
S. B Heymsfield How large is the energy gap that accounts for the obesity epidemic? Am. J. Clinical Nutrition, June 1, 2009; 89(6): 1717 - 1718. [Full Text] [PDF]
|
|
|
|
|
|
R. W Taylor, K. A McAuley, W. Barbezat, A. Strong, S. M Williams, and J. I Mann APPLE Project: 2-y findings of a community-based obesity prevention program in primary school age children Am. J. Clinical Nutrition, September 1, 2007; 86(3): 735 - 742. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. Bosy-Westphal and M. J Muller Energy intake or energy expenditure? Am. J. Clinical Nutrition, October 1, 2006; 84(4): 945 - 945. [Full Text] [PDF]
|
|
|
|
|
|
B. A Swinburn, D. Jolley, P. J Kremer, A. D Salbe, and E. Ravussin Reply to A Bosy-Westphal and MJ Muller Am. J. Clinical Nutrition, October 1, 2006; 84(4): 945 - 946. [Full Text] [PDF]
|
|
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
