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

J Sports Sci. 2020 Nov;38(22):2569-2578. doi: 10.1080/02640414.2020.1794244. Epub 2020 Jul 17.

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.

Keywords: MVPA; activity count; activity monitor; physical activity; sedentary behaviour.

MeSH terms

  • Accelerometry / instrumentation*
  • Accelerometry / methods
  • Accelerometry / statistics & numerical data*
  • Adolescent
  • Adult
  • Aged
  • Data Analysis
  • Exercise / physiology*
  • Fitness Trackers / statistics & numerical data*
  • Hip
  • Humans
  • Middle Aged
  • Reproducibility of Results
  • Sedentary Behavior
  • Wrist
  • Young Adult