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Comparison of Wearable Trackers’ Ability to Estimate Sleep
Tracking physical activity and sleep patterns using wearable trackers has become a current trend. However, little information exists about the comparability of wearable trackers measuring sleep. This study examined the comparability of wearable trackers for estimating sleep measurement with a sleep...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025478/ https://www.ncbi.nlm.nih.gov/pubmed/29914050 http://dx.doi.org/10.3390/ijerph15061265 |
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author | Lee, Jung-Min Byun, Wonwoo Keill, Alyssa Dinkel, Danae Seo, Yaewon |
author_facet | Lee, Jung-Min Byun, Wonwoo Keill, Alyssa Dinkel, Danae Seo, Yaewon |
author_sort | Lee, Jung-Min |
collection | PubMed |
description | Tracking physical activity and sleep patterns using wearable trackers has become a current trend. However, little information exists about the comparability of wearable trackers measuring sleep. This study examined the comparability of wearable trackers for estimating sleep measurement with a sleep diary (SD) for three full nights. A convenience sample of 78 adults were recruited in this research with a mean age of 27.6 ± 11.0 years. Comparisons between wearable trackers and sleep outcomes were analyzed using the mean absolute percentage errors, Pearson correlations, Bland–Altman Plots, and equivalent testing. Trackers that showed the greatest equivalence with the SD for total sleep time were the Jawbone UP3 and Fitbit Charge Heart Rate (effect size = 0.09 and 0.23, respectively). The greatest equivalence with the SD for time in bed was seen with the SenseWear Armband, Garmin Vivosmart, and Jawbone UP3 (effect size = 0.09, 0.16, and 0.07, respectively). Some of the wearable trackers resulted in closer approximations to self-reported sleep outcomes than a previously sleep research-grade device, these trackers offer a lower-cost alternative to tracking sleep in healthy populations. |
format | Online Article Text |
id | pubmed-6025478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60254782018-07-16 Comparison of Wearable Trackers’ Ability to Estimate Sleep Lee, Jung-Min Byun, Wonwoo Keill, Alyssa Dinkel, Danae Seo, Yaewon Int J Environ Res Public Health Article Tracking physical activity and sleep patterns using wearable trackers has become a current trend. However, little information exists about the comparability of wearable trackers measuring sleep. This study examined the comparability of wearable trackers for estimating sleep measurement with a sleep diary (SD) for three full nights. A convenience sample of 78 adults were recruited in this research with a mean age of 27.6 ± 11.0 years. Comparisons between wearable trackers and sleep outcomes were analyzed using the mean absolute percentage errors, Pearson correlations, Bland–Altman Plots, and equivalent testing. Trackers that showed the greatest equivalence with the SD for total sleep time were the Jawbone UP3 and Fitbit Charge Heart Rate (effect size = 0.09 and 0.23, respectively). The greatest equivalence with the SD for time in bed was seen with the SenseWear Armband, Garmin Vivosmart, and Jawbone UP3 (effect size = 0.09, 0.16, and 0.07, respectively). Some of the wearable trackers resulted in closer approximations to self-reported sleep outcomes than a previously sleep research-grade device, these trackers offer a lower-cost alternative to tracking sleep in healthy populations. MDPI 2018-06-15 2018-06 /pmc/articles/PMC6025478/ /pubmed/29914050 http://dx.doi.org/10.3390/ijerph15061265 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lee, Jung-Min Byun, Wonwoo Keill, Alyssa Dinkel, Danae Seo, Yaewon Comparison of Wearable Trackers’ Ability to Estimate Sleep |
title | Comparison of Wearable Trackers’ Ability to Estimate Sleep |
title_full | Comparison of Wearable Trackers’ Ability to Estimate Sleep |
title_fullStr | Comparison of Wearable Trackers’ Ability to Estimate Sleep |
title_full_unstemmed | Comparison of Wearable Trackers’ Ability to Estimate Sleep |
title_short | Comparison of Wearable Trackers’ Ability to Estimate Sleep |
title_sort | comparison of wearable trackers’ ability to estimate sleep |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025478/ https://www.ncbi.nlm.nih.gov/pubmed/29914050 http://dx.doi.org/10.3390/ijerph15061265 |
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