Literature DB >> 27392376

Developmental Trends in the Energy Cost of Physical Activities Performed by Youth.

Stewart G Trost1, Christopher C Drovandi, Karin Pfeiffer.   

Abstract

BACKGROUND: Published energy cost data for children and adolescents are lacking. The purpose of this study was to measure and describe developmental trends in the energy cost of 12 physical activities commonly performed by youth.
METHODS: A mixed age cohort of 209 participants completed 12 standardized activity trials on 4 occasions over a 3-year period (baseline, 12-months, 24-months, and 36-months) while wearing a portable indirect calorimeter. Bayesian hierarchical regression was used to link growth curves from each age cohort into a single curve describing developmental trends in energy cost from age 6 to 18 years.
RESULTS: For sedentary and light-intensity household chores, YOUTH METs (METy) remained stable or declined with age. In contrast, METy values associated with brisk walking, running, basketball, and dance increased with age.
CONCLUSIONS: The reported energy costs for specific activities will contribute to efforts to update and expand the youth compendium.

Entities:  

Mesh:

Year:  2016        PMID: 27392376     DOI: 10.1123/jpah.2015-0723

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  8 in total

1.  Device-based measurement of physical activity in pre-schoolers: Comparison of machine learning and cut point methods.

Authors:  Matthew N Ahmadi; Stewart G Trost
Journal:  PLoS One       Date:  2022-04-13       Impact factor: 3.240

2.  A Youth Compendium of Physical Activities: Activity Codes and Metabolic Intensities.

Authors:  Nancy F Butte; Kathleen B Watson; Kate Ridley; Issa F Zakeri; Robert G McMurray; Karin A Pfeiffer; Scott E Crouter; Stephen D Herrmann; David R Bassett; Alexander Long; Zekarias Berhane; Stewart G Trost; Barbara E Ainsworth; David Berrigan; Janet E Fulton
Journal:  Med Sci Sports Exerc       Date:  2018-02       Impact factor: 5.411

3.  Laboratory-based and free-living algorithms for energy expenditure estimation in preschool children: A free-living evaluation.

Authors:  Matthew N Ahmadi; Alok Chowdhury; Toby Pavey; Stewart G Trost
Journal:  PLoS One       Date:  2020-05-20       Impact factor: 3.240

4.  Adolescents Are Less Physically Active Than Adults After Anterior Cruciate Ligament Reconstruction.

Authors:  Christopher Kuenze; Katherine Collins; Ashley Triplett; David Bell; Grant Norte; Shelby Baez; Matthew Harkey; Luke Wilcox; Caroline Lisee
Journal:  Orthop J Sports Med       Date:  2022-02-21

5.  Investigating Wrist-Based Acceleration Summary Measures across Different Sample Rates towards 24-Hour Physical Activity and Sleep Profile Assessment.

Authors:  Athanasios Tsanas
Journal:  Sensors (Basel)       Date:  2022-08-17       Impact factor: 3.847

6.  Wrist Acceleration Cut Points for Moderate-to-Vigorous Physical Activity in Youth.

Authors:  Christiana Maria Theodora VAN Loo; Anthony D Okely; Marijka J Batterham; Trina Hinkley; Ulf Ekelund; Søren Brage; John J Reilly; Stewart G Trost; Rachel A Jones; Xanne Janssen; Dylan P Cliff
Journal:  Med Sci Sports Exerc       Date:  2018-03       Impact factor: 5.411

7.  Population-level physical activity surveillance in young people: are accelerometer-based measures ready for prime time?

Authors:  Stewart G Trost
Journal:  Int J Behav Nutr Phys Act       Date:  2020-03-18       Impact factor: 6.457

8.  Machine Learning Models for Classifying Physical Activity in Free-Living Preschool Children.

Authors:  Matthew N Ahmadi; Toby G Pavey; Stewart G Trost
Journal:  Sensors (Basel)       Date:  2020-08-05       Impact factor: 3.576

  8 in total

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