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The influence of physical characteristics on the resting energy expenditure of youth: A meta-analysis.
Herrmann, Stephen D; McMurray, Robert G; Kim, Youngdeok; Willis, Erik A; Kang, Minsoo; McCurdy, Thomas.
Afiliação
  • Herrmann SD; Children's Health Research Center, Sanford Research, Sioux Falls, South Dakota.
  • McMurray RG; Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
  • Kim Y; Department of Kinesiology and Sport Management, Texas Tech University, Lubbock, Texas.
  • Willis EA; Cardiovascular Research Institute University of Kansas Medical Center, Kansas.
  • Kang M; Department of Health and Human Performance, Middle Tennessee State University, Murfreesboro, Tennessee.
  • McCurdy T; United States Environmental Protection Agency (EPA), Research Triangle Park, North Carolina.
Am J Hum Biol ; 29(3)2017 May 06.
Article em En | MEDLINE | ID: mdl-27901289
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Composição Corporal / Índice de Massa Corporal / Metabolismo Energético Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Systematic_reviews Limite: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Composição Corporal / Índice de Massa Corporal / Metabolismo Energético Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Systematic_reviews Limite: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article