Association between behavioral phenotypes and sustained use of smartphones and wearable devices to remotely monitor physical activity

Abstract Smartphones and wearable devices can be used to remotely monitor health behaviors, but little is known about how individual characteristics influence sustained use of these devices. Leveraging data on baseline activity levels and demographic, behavioral, and psychosocial traits, we used lat...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Sarah J. Fendrich, Mohan Balachandran, Mitesh S. Patel
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fc74ff8a6c614b8a9054e379e4fdec0f
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:fc74ff8a6c614b8a9054e379e4fdec0f
record_format	dspace
spelling	oai:doaj.org-article:fc74ff8a6c614b8a9054e379e4fdec0f2021-11-08T10:50:18ZAssociation between behavioral phenotypes and sustained use of smartphones and wearable devices to remotely monitor physical activity10.1038/s41598-021-01021-y2045-2322https://doaj.org/article/fc74ff8a6c614b8a9054e379e4fdec0f2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01021-yhttps://doaj.org/toc/2045-2322Abstract Smartphones and wearable devices can be used to remotely monitor health behaviors, but little is known about how individual characteristics influence sustained use of these devices. Leveraging data on baseline activity levels and demographic, behavioral, and psychosocial traits, we used latent class analysis to identify behavioral phenotypes among participants randomized to track physical activity using a smartphone or wearable device for 6 months following hospital discharge. Four phenotypes were identified: (1) more agreeable and conscientious; (2) more active, social, and motivated; (3) more risk-taking and less supported; and (4) less active, social, and risk-taking. We found that duration and consistency of device use differed by phenotype for wearables, but not smartphones. Additionally, “at-risk” phenotypes 3 and 4 were more likely to discontinue use of a wearable device than a smartphone, while activity monitoring in phenotypes 1 and 2 did not differ by device type. These findings could help to better target remote-monitoring interventions for hospitalized patients.Sarah J. FendrichMohan BalachandranMitesh S. PatelNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sarah J. Fendrich Mohan Balachandran Mitesh S. Patel Association between behavioral phenotypes and sustained use of smartphones and wearable devices to remotely monitor physical activity
description	Abstract Smartphones and wearable devices can be used to remotely monitor health behaviors, but little is known about how individual characteristics influence sustained use of these devices. Leveraging data on baseline activity levels and demographic, behavioral, and psychosocial traits, we used latent class analysis to identify behavioral phenotypes among participants randomized to track physical activity using a smartphone or wearable device for 6 months following hospital discharge. Four phenotypes were identified: (1) more agreeable and conscientious; (2) more active, social, and motivated; (3) more risk-taking and less supported; and (4) less active, social, and risk-taking. We found that duration and consistency of device use differed by phenotype for wearables, but not smartphones. Additionally, “at-risk” phenotypes 3 and 4 were more likely to discontinue use of a wearable device than a smartphone, while activity monitoring in phenotypes 1 and 2 did not differ by device type. These findings could help to better target remote-monitoring interventions for hospitalized patients.
format	article
author	Sarah J. Fendrich Mohan Balachandran Mitesh S. Patel
author_facet	Sarah J. Fendrich Mohan Balachandran Mitesh S. Patel
author_sort	Sarah J. Fendrich
title	Association between behavioral phenotypes and sustained use of smartphones and wearable devices to remotely monitor physical activity
title_short	Association between behavioral phenotypes and sustained use of smartphones and wearable devices to remotely monitor physical activity
title_full	Association between behavioral phenotypes and sustained use of smartphones and wearable devices to remotely monitor physical activity
title_fullStr	Association between behavioral phenotypes and sustained use of smartphones and wearable devices to remotely monitor physical activity
title_full_unstemmed	Association between behavioral phenotypes and sustained use of smartphones and wearable devices to remotely monitor physical activity
title_sort	association between behavioral phenotypes and sustained use of smartphones and wearable devices to remotely monitor physical activity
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/fc74ff8a6c614b8a9054e379e4fdec0f
work_keys_str_mv	AT sarahjfendrich associationbetweenbehavioralphenotypesandsustaineduseofsmartphonesandwearabledevicestoremotelymonitorphysicalactivity AT mohanbalachandran associationbetweenbehavioralphenotypesandsustaineduseofsmartphonesandwearabledevicestoremotelymonitorphysicalactivity AT miteshspatel associationbetweenbehavioralphenotypesandsustaineduseofsmartphonesandwearabledevicestoremotelymonitorphysicalactivity
_version_	1718442677402337280

Association between behavioral phenotypes and sustained use of smartphones and wearable devices to remotely monitor physical activity

Ejemplares similares