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Comparison of Two Methods to Assess PAEE during Six Activities in Children

CORDER, KIRSTEN1; BRAGE, SØREN1; MATTOCKS, CALUM2; NESS, ANDY2; RIDDOCH, CHRIS3; WAREHAM, NICHOLAS J.1; EKELUND, ULF1

Medicine & Science in Sports & Exercise: December 2007 - Volume 39 - Issue 12 - pp 2180-2188
doi: 10.1249/mss.0b013e318150dff8
BASIC SCIENCES: Original Investigations

Purpose: The purpose of this study was to compare the accuracy of physical activity energy expenditure (PAEE)-prediction models using accelerometry alone (ACC) and accelerometry combined with heart rate monitoring (HR+ACC) to estimate PAEE during six common activities in children (lying, sitting, slow and brisk walking, hop-scotch, running). Three PAEE-prediction models derived using the current data, and five previously published prediction models were cross-validated to estimate PAEE in this sample.

Methods: PAEE was assessed using ACC, HR+ACC, and indirect calorimetry during six activities in 145 children (12.4 ± 0.2 yr). One ACC and two HR+ACC PAEE-prediction models were derived using linear regression on data from the current study. These three new models were cross-validated using a jackknife approach, and a modified Bland-Altman method was used to assess the validity of all eight models.

Results: PAEE predictions using the one ACC and two HR+ACC models derived in the current study correlated strongly with measured values (RMSE = 97.3-118.0 J·min−1·kg−1). All five previously published models agreed well overall (RMSE = 115.6-245.3 J·min−1·kg−1), but systematic error was present for most of these, to a greater extent for ACC.

Conclusions: ACC and HR+ACC can both be used to predict overall PAEE during these six activities in children; however, systematic error was present in all predictions. Although both ACC and HR+ACC provide accurate predictions of overall PAEE, according to the activities in this study, PAEE-prediction models using HR+ACC may be more accurate and widely applicable than those based on accelerometry alone.

1MRC Epidemiology Unit, Cambridge, UNITED KINGDOM; 2University of Bristol, Bristol, UNITED KINGDOM; and 3University of Bath, Bath, UNITED KINGDOM

Address for correspondence: Kirsten Corder, MRC Epidemiology Unit, Institute of Metabolic Science, Box 285, Addenbrook's Hospital, Cambridge, CB2 0QQ, UK; E-mail: kirsten.corder@mrc-epid.cam.ac.uk.

Submitted for publication April 2007.

Accepted for publication July 2007.

©2007The American College of Sports Medicine