Medicine and Health Sciences Commons^™

Validation Of Accelerometer-Based Energy Expenditure Prediction Models In Structured And Simulated Free-Living Settings, Alexander H. K. Montoye, Scott A. Conger, Christopher P. Connolly, Mary T. Imboden, M. Benjamin Nelson, Josh M. Bock, Leonard A. Kaminsky

Faculty Publications - Department of Kinesiology

This study compared accuracy of energy expenditure (EE) prediction models from accelerometer data collected in structured and simulated free-living settings. Twenty-four adults (mean age 45.8 years, 50% female) performed two sessions of 11 to 21 activities, wearing four ActiGraph GT9X Link activity monitors (right hip, ankle, both wrists) and a metabolic analyzer (EE criterion). Visit 1 (V1) involved structured, 5-min activities dictated by researchers; Visit 2 (V2) allowed participants activity choice and duration (simulated free-living). EE prediction models were developed incorporating data from one setting (V1/V2; V2/V2) or both settings (V1V2/V2). The V1V2/V2 method had the lowest root mean square …