Predicting Activity Energy Expenditure Using the Actical® Activity Monitor

Abstract

This study developed algorithms for predicting activity energy expenditure (AEE) in children (n = 24) and adults (n = 24) from the Actical® activity monitor. Each participant performed 10 activities (supine resting, three sitting, three house cleaning, and three locomotion) while wearing monitors on the ankle, hip, and wrist; AEE was computed from oxygen consumption. Regression analysis, used to create AEE prediction equations based on Actical® output, varied considerably for both children (R ² = .45-.75; p < .001) and adults (R ² = .14-.85; p < .008). Most of the resulting algorithms accurately predicted accumulated AEE and time within light, moderate, and vigorous intensity categories (p > .05). The Actical® monitor may be useful for predicting AEE and time variables at the ankle, hip, or wrist locations.