| Literature DB >> 32677510 |
Alexander H K Montoye1,2, Kimberly A Clevenger3,4, Karin A Pfeiffer3, Michael Benjamin Nelson1, Joshua M Bock1, Mary T Imboden1, Leonard A Kaminsky1.
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.Entities:
Keywords: MVPA; activity count; activity monitor; physical activity; sedentary behaviour
Mesh:
Year: 2020 PMID: 32677510 DOI: 10.1080/02640414.2020.1794244
Source DB: PubMed Journal: J Sports Sci ISSN: 0264-0414 Impact factor: 3.337