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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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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. |
format | Online Article Text |
id | pubmed-6841523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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