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The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review

Low levels of physical activity (PA) and sleep disruption are commonly seen in older adult inpatients and are associated with poor health outcomes. Wearable sensors allow for objective continuous monitoring; however, there is no consensus as to how wearable sensors should be implemented. This review...

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Autores principales: Bate, Gemma L., Kirk, Cameron, Rehman, Rana Z. U., Guan, Yu, Yarnall, Alison J., Del Din, Silvia, Lawson, Rachael A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222486/
https://www.ncbi.nlm.nih.gov/pubmed/37430796
http://dx.doi.org/10.3390/s23104881
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author Bate, Gemma L.
Kirk, Cameron
Rehman, Rana Z. U.
Guan, Yu
Yarnall, Alison J.
Del Din, Silvia
Lawson, Rachael A.
author_facet Bate, Gemma L.
Kirk, Cameron
Rehman, Rana Z. U.
Guan, Yu
Yarnall, Alison J.
Del Din, Silvia
Lawson, Rachael A.
author_sort Bate, Gemma L.
collection PubMed
description Low levels of physical activity (PA) and sleep disruption are commonly seen in older adult inpatients and are associated with poor health outcomes. Wearable sensors allow for objective continuous monitoring; however, there is no consensus as to how wearable sensors should be implemented. This review aimed to provide an overview of the use of wearable sensors in older adult inpatient populations, including models used, body placement and outcome measures. Five databases were searched; 89 articles met inclusion criteria. We found that studies used heterogenous methods, including a variety of sensor models, placement and outcome measures. Most studies reported the use of only one sensor, with either the wrist or thigh being the preferred location in PA studies and the wrist for sleep outcomes. The reported PA measures can be mostly characterised as the frequency and duration of PA (Volume) with fewer measures relating to intensity (rate of magnitude) and pattern of activity (distribution per day/week). Sleep and circadian rhythm measures were reported less frequently with a limited number of studies providing both physical activity and sleep/circadian rhythm outcomes concurrently. This review provides recommendations for future research in older adult inpatient populations. With protocols of best practice, wearable sensors could facilitate the monitoring of inpatient recovery and provide measures to inform participant stratification and establish common objective endpoints across clinical trials.
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spelling pubmed-102224862023-05-28 The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review Bate, Gemma L. Kirk, Cameron Rehman, Rana Z. U. Guan, Yu Yarnall, Alison J. Del Din, Silvia Lawson, Rachael A. Sensors (Basel) Review Low levels of physical activity (PA) and sleep disruption are commonly seen in older adult inpatients and are associated with poor health outcomes. Wearable sensors allow for objective continuous monitoring; however, there is no consensus as to how wearable sensors should be implemented. This review aimed to provide an overview of the use of wearable sensors in older adult inpatient populations, including models used, body placement and outcome measures. Five databases were searched; 89 articles met inclusion criteria. We found that studies used heterogenous methods, including a variety of sensor models, placement and outcome measures. Most studies reported the use of only one sensor, with either the wrist or thigh being the preferred location in PA studies and the wrist for sleep outcomes. The reported PA measures can be mostly characterised as the frequency and duration of PA (Volume) with fewer measures relating to intensity (rate of magnitude) and pattern of activity (distribution per day/week). Sleep and circadian rhythm measures were reported less frequently with a limited number of studies providing both physical activity and sleep/circadian rhythm outcomes concurrently. This review provides recommendations for future research in older adult inpatient populations. With protocols of best practice, wearable sensors could facilitate the monitoring of inpatient recovery and provide measures to inform participant stratification and establish common objective endpoints across clinical trials. MDPI 2023-05-18 /pmc/articles/PMC10222486/ /pubmed/37430796 http://dx.doi.org/10.3390/s23104881 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Bate, Gemma L.
Kirk, Cameron
Rehman, Rana Z. U.
Guan, Yu
Yarnall, Alison J.
Del Din, Silvia
Lawson, Rachael A.
The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review
title The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review
title_full The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review
title_fullStr The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review
title_full_unstemmed The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review
title_short The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review
title_sort role of wearable sensors to monitor physical activity and sleep patterns in older adult inpatients: a structured review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222486/
https://www.ncbi.nlm.nih.gov/pubmed/37430796
http://dx.doi.org/10.3390/s23104881
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