Predictive Validity and Classification Accuracy of ActiGraph Energy Expenditure Equations and Cut-Points in Young Children
Author(s) -
Xanne Janssen,
Dylan P. Cliff,
John J. Reilly,
Trina Hinkley,
Rachel A. Jones,
Marijka Batterham,
Ulf Ekelund,
Søren Brage,
Anthony D. Okely
Publication year - 2013
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0079124
Subject(s) - energy expenditure , physical activity , intensity (physics) , doubly labeled water , total energy expenditure , light intensity , physical therapy , physical activity level , metabolic equivalent , exercise intensity , energy (signal processing) , medicine , mathematics , statistics , physics , heart rate , quantum mechanics , blood pressure , optics
Objectives Evaluate the predictive validity of ActiGraph energy expenditure equations and the classification accuracy of physical activity intensity cut-points in preschoolers. Methods Forty children aged 4–6 years (5.3±1.0 years) completed a ∼150-min room calorimeter protocol involving age-appropriate sedentary, light and moderate-to vigorous-intensity physical activities. Children wore an ActiGraph GT3X on the right mid-axillary line of the hip. Energy expenditure measured by room calorimetry and physical activity intensity classified using direct observation were the criterion methods. Energy expenditure was predicted using Pate and Puyau equations. Physical activity intensity was classified using Evenson, Sirard, Van Cauwenberghe, Pate, Puyau, and Reilly, ActiGraph cut-points. Results The Pate equation significantly overestimated VO 2 during sedentary behaviors, light physical activities and total VO 2 (P<0.001). No difference was found between measured and predicted VO 2 during moderate-to vigorous-intensity physical activities (P = 0.072). The Puyau equation significantly underestimated activity energy expenditure during moderate-to vigorous-intensity physical activities, light-intensity physical activities and total activity energy expenditure (P<0.0125). However, no overestimation of activity energy expenditure during sedentary behavior was found. The Evenson cut-point demonstrated significantly higher accuracy for classifying sedentary behaviors and light-intensity physical activities than others. Classification accuracy for moderate-to vigorous-intensity physical activities was significantly higher for Pate than others. Conclusion Available ActiGraph equations do not provide accurate estimates of energy expenditure across physical activity intensities in preschoolers. Cut-points of ≤25counts⋅15 s −1 and ≥420 counts⋅15 s −1 for classifying sedentary behaviors and moderate-to vigorous-intensity physical activities, respectively, are recommended.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom