Predictive validity of three ActiGraph energy expenditure equations for children

Trost, Stewart G., Way, Rebecca, & Okely, Anthony D. (2006) Predictive validity of three ActiGraph energy expenditure equations for children. Medicine and Science in Sports and Exercise, 38(2), pp. 380-387.

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This Study evaluated the predictive validity of three previously published ActiGraph energy expenditure (EE) prediction equations developed for children and adolescents.


A total of 45 healthy children and adolescents (mean age: 13.7 +/- 2.6 yr) completed four 5-min activity trials (normal walking. brisk walking, easy running, and fast running) in ail indoor exercise facility. During each trial, participants were all ActiGraph accelerometer oil the right hip. EE was monitored breath by breath using the Cosmed K4b(2) portable indirect calorimetry system. Differences and associations between measured and predicted EE were assessed using dependent t-tests and Pearson correlations, respectively. Classification accuracy was assessed using percent agreement, sensitivity, specificity, and area under the receiver operating characteristic (ROC) curve.


None of the equations accurately predicted mean energy expenditure during each of the four activity trials. Each equation, however, accurately predicted mean EE in at least one activity trial. The Puyau equation accurately predicted EE during slow walking. The Trost equation accurately predicted EE during slow running. The Freedson equation accurately predicted EE during fast running. None of the three equations accurately predicted EE during brisk walking. The equations exhibited fair to excellent classification accuracy with respect to activity intensity. with the Trost equation exhibiting the highest classification accuracy and the Puyau equation exhibiting the lowest.


These data suggest that the three accelerometer prediction equations do not accurately predict EE on a minute-by-minute basis in children and adolescents during overground walking and running. The equations maybe, however, for estimating participation in moderate and vigorous activity.

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115 citations in Web of Science®
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ID Code: 71974
Item Type: Journal Article
Refereed: Yes
Keywords: Objective Assessment, Data Processing, Physical Activity, Youth, Sport Sciences, Physical-activity, Statistical-methods, Adolescent Girls, Computer-science, Accelerometer, Calibration, Validation, Medicine, Fitness, Monitor
DOI: 10.1249/01.mss.0000183848.25845.e0
ISSN: 1530-0315
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Deposited On: 22 May 2014 01:52
Last Modified: 21 Jun 2017 11:02

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