Cited by 13Physical Activity and HealthContext-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Free-Living Comparison of Physical Activity and Sleep Data from Fitbit Activity Trackers Worn on the Dominant and Nondominant Wrists

Clevenger, Kimberly A., Molesky, Monroe J., Vusich, John, Montoye, Alexander H. K.·2019·Measurement in Physical Education and Exercise Science

Abstract

Despite proprietary algorithms to account for differences, output from activity trackers worn on different wrists may not be comparable because individuals vary in their reliance on each hand during free-living activities.Participants (n = 48) wore Fitbit Flex or Flex2 monitors on each wrist for three days. T tests, equivalence tests, and correlations were used to compare steps, Calories, distance, active minutes, and sleep duration recorded by dominant and nondominant wrist-worn monitors and effect sizes and mean absolute and percent difference were calculated.The nondominant Flex2 monitor was not equivalent to the dominant wrist-worn monitor and recorded significantly more steps/day (absolute difference = 708), miles/day (0.3), and active minutes/day (7.9) than the dominant Flex2 monitor. For all variables, nondominant and dominant output was correlated (r>0.75).Nondominant and dominant Flex2 monitors are significantly different, but there were small differences for Flex monitors. Research should investigate effects on behavior and replicate findings using other monitors.

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Crossref · 10.1080/1091367x.2019.1577737

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Authors
Clevenger, K. A., Molesky, M. J., Vusich, J., & Montoye, A. H. K.
Affiliations
  • Michigan State University (US)
  • Alma College (US)
Corresponding author
Clevenger, Kimberly A.
Venue
Measurement in Physical Education and Exercise Science
Published
2019-02-12
Volume
23
Issue
2
Pages
194-204
ISSN
  • 1091-367X (ISSN-L)
  • 1532-7841
OpenAlex
W2913057168
Cited by
13
References
30
Citations by year
2026: 3 · 2025: 1 · 2024: 2 · 2022: 1 · 2021: 2 · 2020: 4
FWCI
1.20
Type
journal article
Language
en
Open access
closed
Locations
Measurement in Physical Education and Exercise Science (publishedVersion)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
wrist-worn accelerometers, physical activity measurement, sleep duration, step count, device comparability, free-living physical activity

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