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ORIGINAL RESEARCH COMMUNICATION |
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 Childrens Hospital of Philadelphia (AMT); Childrens Hospital of Pittsburgh (SAA); and Pennington Biomedical Research Center (JPD and GAB)
Background: Accurate estimation of childrens 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 611 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 variablesfemales: 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 + 6.792and accounted for 72% and 69%, respectively, of REE variance. The other set used body-composition variablesfemales: 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 + 4.8and 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
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