HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text Full Text (PDF) Purchase Article View Shopping Cart Alert me when this article is cited Alert me if a correction is posted Citation Map Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by McDuffie, J. R Articles by Yanovski, J. A Search for Related Content PubMed PubMed Citation Articles by McDuffie, J. R Articles by Yanovski, J. A Agricola Articles by McDuffie, J. R Articles by Yanovski, J. A

Prediction equations for resting energy expenditure in overweight and normal-weight black and white children^1,2,3

¹ From the Unit on Growth and Obesity, Developmental Endocrinology Branch, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD (JRM, DCA-W, JE, ENS, EMF, and JAY); the Children’s Hospital of Philadelphia (AMT); Children’s Hospital of Pittsburgh (SAA); and Pennington Biomedical Research Center (JPD and GAB)

Background: Accurate estimation of children’s resting energy expenditure (REE) is important for planning dietary therapy.

Objective: Our objective was to compare the utility of 5 REE prediction equations in a diverse sample of young children.

Design: REE was obtained in 502 black and white girls and boys aged 6–11 y by using indirect calorimetry at 4 US sites. Measured REE and REE predicted from the equations were compared.

Results: None of the equations provided both accurate and unbiased estimates of REE. Two new sets of sex-specific equations including race as a factor were generated and evaluated. One set used easily measured variables—females: REE = 0.046 x weight – 4.492 x 1/height² – 0.151 x race + 5.841; males: REE = 0.037 x weight – 4.67 x 1/height² – 0.159 x race + 6.792—and accounted for 72% and 69%, respectively, of REE variance. The other set used body-composition variables—females: REE = 0.101 x fat-free mass + 0.025 x fat mass + 0.293 x height³ – 0.185 x race + 1.643; males: REE = 0.078 x fat-free mass + 0.026 x fat mass – 2.646 x 1/height² – 0.244 x race + 4.8—and accounted for 75% and 71%, respectively, of REE variance. When split by race and adiposity, the small bias generated could be corrected to within 0.25 MJ (60 kcal) of the mean measured value.

Conclusion: Sex-specific equations must take race into account to predict REE adequately in children.

Key Words: Child • prediction equation • energy expenditure • metabolic rate • race • obesity

This article has been cited by other articles:

				E. L. Bogucki Comment on: Measurement of Resting Energy Expenditure in Healthy Children JPEN J Parenter Enteral Nutr, November 1, 2009; 33(6): 729 - 730. [Abstract] [Full Text] [PDF]

				D. M Savastano, M. Tanofsky-Kraff, J. C Han, C. Ning, R. A Sorg, C. A Roza, L. E Wolkoff, K. Anandalingam, K. S Jefferson-George, R. E Figueroa, et al. Energy intake and energy expenditure among children with polymorphisms of the melanocortin-3 receptor Am. J. Clinical Nutrition, October 1, 2009; 90(4): 912 - 920. [Abstract] [Full Text] [PDF]