Evidence map›Paper›PMID 32079923›Full record

ArticleMedicine and science in sports and exercise2020

Youth Metabolic Equivalents Differ Depending on Operational Definitions.

Paul R Hibbing, David R Bassett, Dawn P Coe, Samuel R Lamunion, Scott E Crouter

Abstract read
In one paragraph

Article in Medicine and science in sports and exercise, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Paul R HibbingDepartment of Kinesiology, Recreation and Sport Studies, The University of Tennessee, Knoxville, TN.
David R Bassett
Dawn P Coe
Samuel R Lamunion
Scott E Crouter

Funding

Novel Approaches for Predicting Unstructured Short Periods of Physical Activities in YouthR01HD083431 · NICHD · UNIVERSITY OF TENNESSEE KNOXVILLE · PI CROUTER, SCOTT E, DING, WEI · 2016 to 2019
$1.9M
Novel Techniques for the Assessment of Physical Activity in ChildrenR21HL093407 · NHLBI · UNIVERSITY OF MASSACHUSETTS BOSTON · PI CROUTER, SCOTT E · 2009 to 2010
$408k
NHLBI NIH HHS R21 HL093407NICHD NIH HHS R01 HD083431
6 · The paper itself

Abstract

Youth metabolic equivalents (METy) are sometimes operationally defined as multiples of predicted basal metabolic rate (METyBMR) and other times as multiples of measured resting metabolic rate (METyRMR). PURPOSE: This study aimed to examine the comparability of METyBMR and METyRMR.

methodsIndirect calorimetry data (Cosmed K4b) were analyzed from two studies, with a total sample of 245 youth (125 male participants, 6-18 yr old, 37.4% overweight or obese). The Schofield equations were used to predict BMR, and K4b data from 30 min of supine rest were used to assess RMR. Participants performed structured physical activities (PA) of various intensities, and steady-state oxygen consumption was divided by predicted BMR and measured RMR to calculate METyBMR and METyRMR, respectively. Two-way (activity-METy calculation) analysis of variance was used to compare METyBMR and METyRMR (α = 0.05), with Bonferroni-corrected post hoc tests. Intensity classifications were also compared after encoding METyBMR and METyRMR as sedentary behavior (≤1.50 METy), light PA (1.51-2.99 METy), moderate PA (3.00-5.99 METy), or vigorous PA (≥6.00 METy).

resultsThere was a significant interaction (F(30) = 3.6, P < 0.001), and METyBMR was significantly higher than METyRMR for 28 of 31 activities (P < 0.04), by 15.6% (watching television) to 23.1% (basketball). Intensity classifications were the same for both METy calculations in 69.0% of cases.

conclusionsMETyBMR and METyRMR differ considerably. Greater consensus is needed regarding how metabolic equivalents should be operationally defined in youth, and in the meantime, careful distinction is necessary between METyBMR and METyRMR.

Indexed as

Metabolic EquivalentAdolescentBasal MetabolismCalorimetry, IndirectChildFemaleHumansMale

Identifiers

PMID32079923
PMCPMC7368822

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.