Evidence map›Paper›PMID 26102204›Full record

ArticlePloS one2015

Exploring Metrics to Express Energy Expenditure of Physical Activity in Youth.

Robert G McMurray, Nancy F Butte, Scott E Crouter, Stewart G Trost, Karin A Pfeiffer, David R Bassett, Maurice R Puyau, David Berrigan, Kathleen B Watson, Janet E Fulton and 1 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Trial
  2. Use of consumer monitors for estimating energy expenditure in youth.Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme · 2020
    Trial
  3. Article
  4. Article
  5. The 2024 Compendium of Physical Activities and its expansion.Journal of sport and health science · 2024
    Article
  6. Review
  7. Article
  8. Review
  9. Physical Activity, Step Counts, and Grip Strength in the Chinese Children and Families Cohort Study.International journal of environmental research and public health · 2020
    Article
  10. Article
  11. Youth Metabolic Equivalents Differ Depending on Operational Definitions.Medicine and science in sports and exercise · 2020
    Article
  12. Low-Resistance, Concentric-Gated Pediatric Artificial Lung for End-Stage Lung Failure.ASAIO journal (American Society for Artificial Internal Organs : 1992) · 2020
    Article
  13. Article
  14. Article
  15. Review
  16. Utility of the Youth Compendium of Physical Activities.Research quarterly for exercise and sport · 2018
    Article
  17. Article
  18. Early in vivo experience with the pediatric continuous-flow total artificial heart.The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation · 2018
    Article
  19. Article
  20. Cadence (steps/min) and intensity during ambulation in 6-20 year olds: the CADENCE-kids study.The international journal of behavioral nutrition and physical activity · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Robert G McMurrayExercise and Sport Science and Nutrition, University of North Carolina, Chapel Hill, NC, United States of America.
Nancy F ButteUSDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, United States of America.
Scott E CrouterDepartment of Kinesiology, Recreation and Sport Studies, University of Tennessee, Knoxville, TN, United States of America.
Stewart G TrostExercise and Nutrition Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia.
Karin A PfeifferDepartment of Kinesiology, Michigan State University, East Lansing, MI, United States of America.
David R BassettDepartment of Kinesiology, Recreation and Sport Studies, University of Tennessee, Knoxville, TN, United States of America.
Maurice R PuyauUSDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, United States of America.
David BerriganCenters for Disease Control and Prevention/National Cancer Institute/National Collaborative on Childhood Obesity Research, Washington, DC, United States of America.
Kathleen B WatsonDivision of Nutrition, Physical Activity, and Obesity, CDC, Atlanta, GA, United States of America.
Janet E FultonDivision of Nutrition, Physical Activity, and Obesity, CDC, Atlanta, GA, United States of America.
CDC/NCI/NCCOR Research Group on Energy Expenditure in Children

Funding

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 L30 HD066736
6 · The paper itself

Abstract

backgroundSeveral approaches have been used to express energy expenditure in youth, but no consensus exists as to which best normalizes data for the wide range of ages and body sizes across a range of physical activities. This study examined several common metrics for expressing energy expenditure to determine whether one metric can be used for all healthy children. Such a metric could improve our ability to further advance the Compendium of Physical Activities for Youth.

methodsA secondary analysis of oxygen uptake (VO2) data obtained from five sites was completed, that included 947 children ages 5 to 18 years, who engaged in 14 different activities. Resting metabolic rate (RMR) was computed based on Schofield Equations [Hum Nutr Clin Nut. 39(Suppl 1), 1985]. Absolute oxygen uptake (ml.min-1), oxygen uptake per kilogram body mass (VO2 in ml.kg-1.min-1), net oxygen uptake (VO2 - resting metabolic rate), allometric scaled oxygen uptake (VO2 in ml.kg-0.75.min-1) and YOUTH-MET (VO2.[resting VO2] -1) were calculated. These metrics were regressed with age, sex, height, and body mass.

resultsNet and allometric-scaled VO2, and YOUTH-MET were least associated with age, sex and physical characteristics. For moderate-to-vigorous intensity activities, allometric scaling was least related to age and sex. For sedentary and low-intensity activities, YOUTH-MET was least related to age and sex.

conclusionsNo energy expenditure metric completely eliminated the influence of age, physical characteristics, and sex. The Adult MET consistently overestimated EE. YOUTH-MET was better for expressing energy expenditure for sedentary and light activities, whereas allometric scaling was better for moderate and vigorous intensity activities. From a practical perspective, The YOUTH-MET may be the more feasible metric for improving of the Compendium of Physical Activities for Youth.

Indexed as

Motor ActivityOxygen ConsumptionAdolescentAge FactorsBody HeightBody Mass IndexBody SizeChildChild, PreschoolEnergy MetabolismEthnicityFemaleHumansLeisure ActivitiesMaleReference Values

Identifiers

PMID26102204
PMCPMC4477976

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

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.