Literature DB >> 18614948

Assigning energy costs to activities in children: a review and synthesis.

Kate Ridley1, Tim S Olds.   

Abstract

PURPOSE: Compendia of energy costs are often used to assign energy expenditures (EE) to self-reported and observed activity. As there is a lack of data on the energy cost of children's everyday activities, adult values are often used as surrogates. However, the best way to adjust adult values for use with children remains unclear. Various strategies have been used to estimate rates of EE in children.
METHODS: To evaluate these existing methods for assigning EE to children, a literature search reviewed all English-language studies that measured energy costs in healthy 6.0-17.9 yr olds using criterion EE measures. Data were combined using the Monte Carlo simulation procedure, with walking and running forming separate data sets.
RESULTS: The resultant data set (excluding walking and running) contained 5592 data points encompassing 51 activities. Analyses revealed using adults METs, combined with child resting metabolic rates, as the best existing technique to assign EE to children when measured values are not available. Prediction equations for the energy cost of walking and running were calculated using multiple regression.
CONCLUSION: This study has provided a literature base and analytical support for a compendium of energy costs for use with children with energy costs expressed as METs.

Entities:  

Mesh:

Year:  2008        PMID: 18614948     DOI: 10.1249/MSS.0b013e31817279ef

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  34 in total

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Journal:  J Phys Act Health       Date:  2012-02-29

5.  Measurement properties of the one-minute sit-to-stand test in children and adolescents with cystic fibrosis: A multicenter randomized cross-over trial.

Authors:  Yann Combret; Fairuz Boujibar; Charlotte Gennari; Clément Medrinal; Sophie Sicinski; Tristan Bonnevie; Francis-Edouard Gravier; Muriel Laurans; Christophe Marguet; Pascal Le Roux; Bouchra Lamia; Guillaume Prieur; Grégory Reychler
Journal:  PLoS One       Date:  2021-02-12       Impact factor: 3.240

6.  Surveillance of Youth Physical Activity and Sedentary Behavior With Wrist Accelerometry.

Authors:  Youngwon Kim; Paul Hibbing; Pedro F Saint-Maurice; Laura D Ellingson; Erin Hennessy; Dana L Wolff-Hughes; Frank M Perna; Gregory J Welk
Journal:  Am J Prev Med       Date:  2017-06       Impact factor: 5.043

7.  Calibration and Validation of the Youth Activity Profile: The FLASHE Study.

Authors:  Pedro F Saint-Maurice; Youngwon Kim; Paul Hibbing; April Y Oh; Frank M Perna; Gregory J Welk
Journal:  Am J Prev Med       Date:  2017-06       Impact factor: 5.043

8.  Sleep duration or bedtime? Exploring the relationship between sleep habits and weight status and activity patterns.

Authors:  Tim S Olds; Carol A Maher; Lisa Matricciani
Journal:  Sleep       Date:  2011-10-01       Impact factor: 5.849

9.  Relationships between accelerometer-assessed physical activity and health in children: impact of the activity-intensity classification method.

Authors:  Michelle R Stone; Ann V Rowlands; Roger G Eston
Journal:  J Sports Sci Med       Date:  2009-03-01       Impact factor: 2.988

10.  Why what juveniles do matters in the evolution of cooperative breeding.

Authors:  Karen L Kramer
Journal:  Hum Nat       Date:  2014-03
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