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TIPPING POINTS PILOT STUDY: WEARABLE DEVICES AND ALGORITHMS

Little is known about the use and acceptability of fitness watches (e.g. Fitbit) by diverse older adults, or how data from affordable (<$40) devices could be triangulated with self-report data to predict adverse health outcomes. We investigated interest and acceptability of fitness watch technolo...

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Autores principales: Peterson, Rachel L, Shea, Kim, Luque, Kayla, Powell, Jessica, Liu, Jian, crist, Janice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6841523/
http://dx.doi.org/10.1093/geroni/igz038.2219
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author Peterson, Rachel L
Shea, Kim
Luque, Kayla
Powell, Jessica
Liu, Jian
crist, Janice
author_facet Peterson, Rachel L
Shea, Kim
Luque, Kayla
Powell, Jessica
Liu, Jian
crist, Janice
author_sort Peterson, Rachel L
collection PubMed
description Little is known about the use and acceptability of fitness watches (e.g. Fitbit) by diverse older adults, or how data from affordable (<$40) devices could be triangulated with self-report data to predict adverse health outcomes. We investigated interest and acceptability of fitness watch technology among Mexican American older adults via a week-long trial. Participants were asked to consistently wear the watches and complete daily diaries of activity, questionnaires, and a semi-structured interview. The watch data was triangulated with data from the daily diaries and questionnaires to validate its usefulness in developing algorithms that could detect important physiological transitions that lead to tipping points. Interview data was qualitatively analyzed and coded for barriers and facilitators of watch use and acceptability. Preliminary results suggest that participants are eager and willing to wear a fitness device. Participants reported interest in monitoring their health and using the device to track and improve physical activity.
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spelling pubmed-68415232019-11-13 TIPPING POINTS PILOT STUDY: WEARABLE DEVICES AND ALGORITHMS Peterson, Rachel L Shea, Kim Luque, Kayla Powell, Jessica Liu, Jian crist, Janice Innov Aging Session 3120 (Symposium) Little is known about the use and acceptability of fitness watches (e.g. Fitbit) by diverse older adults, or how data from affordable (<$40) devices could be triangulated with self-report data to predict adverse health outcomes. We investigated interest and acceptability of fitness watch technology among Mexican American older adults via a week-long trial. Participants were asked to consistently wear the watches and complete daily diaries of activity, questionnaires, and a semi-structured interview. The watch data was triangulated with data from the daily diaries and questionnaires to validate its usefulness in developing algorithms that could detect important physiological transitions that lead to tipping points. Interview data was qualitatively analyzed and coded for barriers and facilitators of watch use and acceptability. Preliminary results suggest that participants are eager and willing to wear a fitness device. Participants reported interest in monitoring their health and using the device to track and improve physical activity. Oxford University Press 2019-11-08 /pmc/articles/PMC6841523/ http://dx.doi.org/10.1093/geroni/igz038.2219 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Session 3120 (Symposium)
Peterson, Rachel L
Shea, Kim
Luque, Kayla
Powell, Jessica
Liu, Jian
crist, Janice
TIPPING POINTS PILOT STUDY: WEARABLE DEVICES AND ALGORITHMS
title TIPPING POINTS PILOT STUDY: WEARABLE DEVICES AND ALGORITHMS
title_full TIPPING POINTS PILOT STUDY: WEARABLE DEVICES AND ALGORITHMS
title_fullStr TIPPING POINTS PILOT STUDY: WEARABLE DEVICES AND ALGORITHMS
title_full_unstemmed TIPPING POINTS PILOT STUDY: WEARABLE DEVICES AND ALGORITHMS
title_short TIPPING POINTS PILOT STUDY: WEARABLE DEVICES AND ALGORITHMS
title_sort tipping points pilot study: wearable devices and algorithms
topic Session 3120 (Symposium)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6841523/
http://dx.doi.org/10.1093/geroni/igz038.2219
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