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The influence of physical characteristics on the resting energy expenditure of youth: A meta-analysis.

Authors :
Herrmann, Stephen D.
McMurray, Robert G.
Kim, Youngdeok
Willis, Erik A.
Kang, Minsoo
McCurdy, Thomas
Source :
American Journal of Human Biology; May/Jun2017, Vol. 29 Issue 3, pn/a-N.PAG, 12p
Publication Year :
2017

Abstract

Objective To examine the literature on resting energy expenditure (REE) of youth and determine the influence of age, sex, BMI, and body composition on REE. Methods A literature search was conducted using PubMed, BIOSIS Previews, NTIS, EMBASE, MEDLINE, and Pascal databases for studies with data on resting metabolic rate, REE, resting oxygen uptake (or VO<subscript>2</subscript>) in healthy children, youth, or adolescents (age = 1-18 years). Over 200 publications were identified; sixty-one publications met criteria and were included in the meta-analyses, resulting in 142 study population estimates (totaling 5,397 youth) of REE. Results Pooled mean was 1414 kcal·day<superscript>−1</superscript> with a significant and moderate-to-high between-study heterogeneity [ Q(140) = 7912.42, P < 0.001; I<superscript>2</superscript> = 98.97%]. A significantly greater ( P < 0.001) pooled mean kcal·day<superscript>−1</superscript> was estimated for studies with male participants (1519 kcal·day<superscript>−1</superscript>) comparing to studies with female participants (1338 kcal·day<superscript>−1</superscript>). Age, height, and body mass resulted in the highest R<superscript>2</superscript> of 86.4 for males and 83.9% for females. Fat free mass and body mass index (BMI) did not improve total R<superscript>2</superscript>. Conclusions These data suggest that using a linear equation including age, height, and body mass to estimate REE based on kcal·day<superscript>−1</superscript> is more accurate than estimates based on body mass kcal·kg<superscript>−1</superscript>·h<superscript>−1</superscript>. Further, if kcal·kg<superscript>−1</superscript>·h<superscript>−1</superscript> is used, including a quadratic component for the physical characteristics improves the predictive ability of the equation. Regardless of the metric, separate equations should be used for each sex. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10420533
Volume :
29
Issue :
3
Database :
Complementary Index
Journal :
American Journal of Human Biology
Publication Type :
Academic Journal
Accession number :
123051238
Full Text :
https://doi.org/10.1002/ajhb.22944