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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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Detalles Bibliográficos
Autores principales: Lev, Vered, Oppezzo, Marily A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516569/
https://www.ncbi.nlm.nih.gov/pubmed/37744687
http://dx.doi.org/10.3389/fdgth.2023.1239759
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author Lev, Vered
Oppezzo, Marily A.
author_facet Lev, Vered
Oppezzo, Marily A.
author_sort Lev, Vered
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description 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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spelling pubmed-105165692023-09-23 Measuring intra-individual physical activity variability using consumer-grade activity devices Lev, Vered Oppezzo, Marily A. Front Digit Health Digital Health 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. Frontiers Media S.A. 2023-09-06 /pmc/articles/PMC10516569/ /pubmed/37744687 http://dx.doi.org/10.3389/fdgth.2023.1239759 Text en © 2023 Lev and Oppezzo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Digital Health
Lev, Vered
Oppezzo, Marily A.
Measuring intra-individual physical activity variability using consumer-grade activity devices
title Measuring intra-individual physical activity variability using consumer-grade activity devices
title_full Measuring intra-individual physical activity variability using consumer-grade activity devices
title_fullStr Measuring intra-individual physical activity variability using consumer-grade activity devices
title_full_unstemmed Measuring intra-individual physical activity variability using consumer-grade activity devices
title_short Measuring intra-individual physical activity variability using consumer-grade activity devices
title_sort measuring intra-individual physical activity variability using consumer-grade activity devices
topic Digital Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516569/
https://www.ncbi.nlm.nih.gov/pubmed/37744687
http://dx.doi.org/10.3389/fdgth.2023.1239759
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