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Normalization of energy expenditure data for differences in body mass or composition in children and adolescents
Journal article   Open access   Peer reviewed

Normalization of energy expenditure data for differences in body mass or composition in children and adolescents

Issa Zakeri, Maurice R Puyau, Anne L Adolph, Firoz A Vohra and Nancy F Butte
The Journal of nutrition, v 136(5), pp 1371-1376
May 2006
PMID: 16614432
url
https://doi.org/10.1093/jn/136.5.1371View
Published, Version of Record (VoR)Open Access (Publisher-Specific) Open

Abstract

Body Composition Body Weight Humans Child, Preschool Male Reference Values Exercise Test Models, Biological Adolescent Adult Basal Metabolism Calorimetry Female Energy Metabolism - physiology Child
The most appropriate model for normalization of energy expenditure (EE) data for body mass or composition in growing children and adolescents has not been studied extensively. In this study, we investigated allometric modeling for the normalization of EE data for body mass or composition in a large cohort of children (n = 833), ages 5-19 y for a wide range of physical activities. Anthropometry was performed by standard techniques, and total body fat-free mass (FFM) and fat mass (FM) were determined by dual-energy X-ray absorptiometry (DXA). Weight status was defined as nonoverweight or overweight based on the 95th percentile for BMI. Total energy expenditure (TEE), basal energy expenditure (BEE), sleeping energy expenditure (SEE), and cycling EE were measured during 24-h room respiration calorimetry. Walking and maximal EE (MaxEE) were measured according to a treadmill protocol. Allometric or power function models were used to identify appropriate scaling parameters for EE. For BEE and lower levels of EE, weight scaled to 0.5. For cycling and treadmill walking/running, the weight exponent approached 0.7. Scaling EE for FFM resulted in exponents of 0.6 for lower rates of EE and 0.8-1.0 for higher rates of EE. Appropriate scaling of EE for body weight and composition of children and adolescents varied primarily as a function of the level of EE. In some instances, the exponents for scaling EE by body weight or composition were influenced by gender and weight status, but not by age.

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Collaboration types
Domestic collaboration
Web of Science research areas
Nutrition & Dietetics
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