Literature DB >> 27901289

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

Stephen D Herrmann1, Robert G McMurray2, Youngdeok Kim3, Erik A Willis4, Minsoo Kang5, Thomas McCurdy6.   

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 VO2 ) 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-1 with a significant and moderate-to-high between-study heterogeneity [Q(140) = 7912.42, P < 0.001; I2  = 98.97%]. A significantly greater (P < 0.001) pooled mean kcal·day-1 was estimated for studies with male participants (1519 kcal·day-1 ) comparing to studies with female participants (1338 kcal·day-1 ). Age, height, and body mass resulted in the highest R2 of 86.4 for males and 83.9% for females. Fat free mass and body mass index (BMI) did not improve total R2 .
CONCLUSIONS: These data suggest that using a linear equation including age, height, and body mass to estimate REE based on kcal·day-1 is more accurate than estimates based on body mass kcal·kg-1 ·h-1 . Further, if kcal·kg-1 ·h-1 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.
© 2016 Wiley Periodicals, Inc.

Entities:  

Mesh:

Year:  2016        PMID: 27901289     DOI: 10.1002/ajhb.22944

Source DB:  PubMed          Journal:  Am J Hum Biol        ISSN: 1042-0533            Impact factor:   1.937


  4 in total

1.  Handheld Indirect Calorimetry as a Clinical Tool for Measuring Resting Energy Expenditure in Children with and without Obesity.

Authors:  David A White; Vincent S Staggs; Veronica Williams; Trent C Edwards; Robin Shook; Valentina Shakhnovich
Journal:  Child Obes       Date:  2019-03-19       Impact factor: 2.992

2.  Youth Metabolic Equivalents Differ Depending on Operational Definitions.

Authors:  Paul R Hibbing; David R Bassett; Dawn P Coe; Samuel R Lamunion; Scott E Crouter
Journal:  Med Sci Sports Exerc       Date:  2020-08

3.  Quantifying energy expenditure in childhood: utility in managing pediatric metabolic disorders.

Authors:  Laura P E Watson; Katherine S Carr; Michelle C Venables; Carlo L Acerini; Greta Lyons; Carla Moran; Peter R Murgatroyd; Krishna Chatterjee
Journal:  Am J Clin Nutr       Date:  2019-11-01       Impact factor: 7.045

4.  Resting Energy Expenditure and Related Factors in 6- to 9-Year-Old Southern African Children of Diverse Population Groups.

Authors:  Adeline Pretorius; Paola Wood; Piet Becker; Friedeburg Wenhold
Journal:  Nutrients       Date:  2021-06-09       Impact factor: 5.717

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.