Measuring intra-individual physical activity variability using consumer-grade activity devices

Many existing sedentary behavior and physical activity studies focus on primary outcomes that assess change by comparing participants' activity from baseline to post-intervention. With the widespread availability of consumer-grade devices that track activity daily, researchers do not need to re...

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Bibliographic Details
Published inFrontiers in digital health Vol. 5; p. 1239759
Main Authors Lev, Vered, Oppezzo, Marily A.
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 06.09.2023
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Summary:Many existing sedentary behavior and physical activity studies focus on primary outcomes that assess change by comparing participants' activity from baseline to post-intervention. With the widespread availability of consumer-grade devices that track activity daily, researchers do not need to rely on those endpoint measurements alone. Using activity trackers, researchers can collect remote data about the process of behavior change and future maintenance of the change by measuring participants’ intra-individual physical activity variability. Measuring intra-individual physical activity variability can enable researchers to create tailored and dynamic interventions that account for different physical activity behavior change trajectories, and by that, improve participants' program adherence, enhance intervention design and management, and advance interventions measurements' reliability. We propose an application of intra-individual physical activity variability as a measurement and provide three use cases within interventions. Intra-individual physical activity variability can be used: prior to the intervention period, where relationships between participants' intra-individual physical activity variability and individual characteristics can be used to predict adherence and subsequently tailor interventions; during the intervention period, to assess progress and subsequently boost interventions; and after the intervention, to obtain a reliable representation of the change in primary outcome.
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Reviewed by: Benjamin Kenneth Barry, The University of Queensland, Australia Nupur Biswas, Rhenix Lifesciences, India
Edited by: Juan Carlos Quiroz, University of New South Wales, Australia
ISSN:2673-253X
2673-253X
DOI:10.3389/fdgth.2023.1239759