Open AccessPrediction of Energy Expenditure and Physical Activity in Preschoolers
Author(s) -
Nancy F. Butte,
William W. Wong,
Jong Soo Lee,
Anne L. Adolph,
Maurice R. Puyau,
Issa Zakeri
Publication year - 2014
Publication title -
medicine and science in sports and exercise
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.703
H-Index - 224
eISSN - 1530-0315
pISSN - 0195-9131
DOI - 10.1249/mss.0000000000000209
Subject(s) - energy expenditure , doubly labeled water , mars exploration program , accelerometer , physical activity , mathematics , medicine , calorimetry , statistics , physical therapy , computer science , biology , physics , thermodynamics , astrobiology , operating system
Accurate, nonintrusive, and feasible methods are needed to predict energy expenditure (EE) and physical activity (PA) levels in preschoolers. Herein, we validated cross-sectional time series (CSTS) and multivariate adaptive regression splines (MARS) models based on accelerometry and heart rate (HR) for the prediction of EE using room calorimetry and doubly labeled water (DLW) and established accelerometry cut points for PA levels.