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Development of cut-points for determining activity intensity from a wrist-worn ActiGraph accelerometer in free-living adults

Alexander H.K. Montoye, Kimberly A. Clevenger, Karin A. Pfeiffer, M. Benjamin Nelson, Joshua M. Bock, Mary T. Imboden, Leonard A. Kaminsky

2020Journal of Sports Sciences136 citationsDOI

Abstract

Despite recent popularity of wrist-worn accelerometers for assessing free-living physical behaviours, there is a lack of user-friendly methods to characterize physical activity from a wrist-worn ActiGraph accelerometer. Participants in this study completed a laboratory protocol and/or 3-8 hours of directly observed free-living (criterion measure of activity intensity) while wearing ActiGraph GT9X Link accelerometers on the right hip and non-dominant wrist. All laboratory data (n = 36) and 11 participants' free-living data were used to develop vector magnitude count cut-points (counts/min) for activity intensity for the wrist-worn accelerometer, and 12 participants' free-living data were used to cross-validate cut-point accuracy. The cut-points were: <2,860 counts/min (sedentary); 2,860-3,940 counts/min (light); and ≥3,941counts/min (moderate-to-vigorous (MVPA)). These cut-points had an accuracy of 70.8% for assessing free-living activity intensity, whereas Sasaki/Freedson cut-points for the hip accelerometer had an accuracy of 77.1%, and Hildebrand Euclidean Norm Minus One (ENMO) cut-points for the wrist accelerometer had an accuracy of 75.2%. While accuracy was higher for a hip-worn accelerometer and for ENMO wrist cut-points, the high wear compliance of wrist accelerometers shown in past work and the ease of use of count-based analysis methods may justify use of these developed cut-points until more accurate, equally usable methods can be developed.

Topics & Concepts

AccelerometerWristPhysical medicine and rehabilitationPhysical activityActivity monitorPhysical therapyIntensity (physics)PsychologyMedicineComputer sciencePhysicsSurgeryOperating systemQuantum mechanicsPhysical Activity and HealthContext-Aware Activity Recognition SystemsChildren's Physical and Motor Development
Development of cut-points for determining activity intensity from a wrist-worn ActiGraph accelerometer in free-living adults | Litcius