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.

View at publisher

Abstract

Purpose

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

Methods

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.

Results

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.

Conclusions

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.

Impact and interest:

121 citations in Scopus
115 citations in Web of Science®
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

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

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page