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Measuring Sleep Quality and Efficiency With an Activity Monitoring Device in Comparison to Polysomnography
BACKGROUND: Monitoring for physical activity becomes popular and actually many devices are available. Some physical activity monitors (PAMs) provide data about sleep quality for the user, but there are scarce data concerning validity and usability of these measurements. This study compared the data...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elmer Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6879040/ https://www.ncbi.nlm.nih.gov/pubmed/31803327 http://dx.doi.org/10.14740/jocmr4026 |
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author | Spielmanns, Marc Bost, David Windisch, Wolfram Alter, Peter Greulich, Tim Nell, Christoph Storre, Jan Henrik Koczulla, Andreas Rembert Boeselt, Tobias |
author_facet | Spielmanns, Marc Bost, David Windisch, Wolfram Alter, Peter Greulich, Tim Nell, Christoph Storre, Jan Henrik Koczulla, Andreas Rembert Boeselt, Tobias |
author_sort | Spielmanns, Marc |
collection | PubMed |
description | BACKGROUND: Monitoring for physical activity becomes popular and actually many devices are available. Some physical activity monitors (PAMs) provide data about sleep quality for the user, but there are scarce data concerning validity and usability of these measurements. This study compared the data of sleep parameters generated by a PAM with the polysomnography (PSG). METHODS: In 2016, data of 26 patients in two consecutive PSGs as well as in two daytime and nighttime measurements with a PAM according to physical activity and sleep quality were collected. Furthermore, sleep quality, using the Pittsburgh sleep quality index (PSQI), daytime fatigue, using the multidimensional fatigue inventory (MFI-20) and additionally data of a sleep diary were collected. RESULTS: There were positive correlations of both methods with respect to total sleep time (TST) (r = 0.76, P < 0.01) and sleep efficiency (r = 0.71, P < 0.01). Data analysis over two nights showed that over 90% of the TST (95% confidence interval (CI) -1.59 to 0.82) and of the sleep efficiency (95% CI -8.28 to 15.51) were within the limits of agreement. The analysis of the PSQI and the sleep efficiency of the PAM showed no significant correlations. The daytime fatigue correlated negatively with the physical activity (r = -0.72, P < 0.01). CONCLUSION: The sleep efficiency and TST measured with the PAM sufficiently reflect the PSG sleep parameters and the subjects’ subjective feelings. At the same time, PAM results are also correlated with the subjectively perceived quality of sleep. Further investigations to assess the long-term results are pending. |
format | Online Article Text |
id | pubmed-6879040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elmer Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68790402019-12-04 Measuring Sleep Quality and Efficiency With an Activity Monitoring Device in Comparison to Polysomnography Spielmanns, Marc Bost, David Windisch, Wolfram Alter, Peter Greulich, Tim Nell, Christoph Storre, Jan Henrik Koczulla, Andreas Rembert Boeselt, Tobias J Clin Med Res Original Article BACKGROUND: Monitoring for physical activity becomes popular and actually many devices are available. Some physical activity monitors (PAMs) provide data about sleep quality for the user, but there are scarce data concerning validity and usability of these measurements. This study compared the data of sleep parameters generated by a PAM with the polysomnography (PSG). METHODS: In 2016, data of 26 patients in two consecutive PSGs as well as in two daytime and nighttime measurements with a PAM according to physical activity and sleep quality were collected. Furthermore, sleep quality, using the Pittsburgh sleep quality index (PSQI), daytime fatigue, using the multidimensional fatigue inventory (MFI-20) and additionally data of a sleep diary were collected. RESULTS: There were positive correlations of both methods with respect to total sleep time (TST) (r = 0.76, P < 0.01) and sleep efficiency (r = 0.71, P < 0.01). Data analysis over two nights showed that over 90% of the TST (95% confidence interval (CI) -1.59 to 0.82) and of the sleep efficiency (95% CI -8.28 to 15.51) were within the limits of agreement. The analysis of the PSQI and the sleep efficiency of the PAM showed no significant correlations. The daytime fatigue correlated negatively with the physical activity (r = -0.72, P < 0.01). CONCLUSION: The sleep efficiency and TST measured with the PAM sufficiently reflect the PSG sleep parameters and the subjects’ subjective feelings. At the same time, PAM results are also correlated with the subjectively perceived quality of sleep. Further investigations to assess the long-term results are pending. Elmer Press 2019-12 2019-11-24 /pmc/articles/PMC6879040/ /pubmed/31803327 http://dx.doi.org/10.14740/jocmr4026 Text en Copyright 2019, Spielmanns et al. http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Non-Commercial 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Spielmanns, Marc Bost, David Windisch, Wolfram Alter, Peter Greulich, Tim Nell, Christoph Storre, Jan Henrik Koczulla, Andreas Rembert Boeselt, Tobias Measuring Sleep Quality and Efficiency With an Activity Monitoring Device in Comparison to Polysomnography |
title | Measuring Sleep Quality and Efficiency With an Activity Monitoring Device in Comparison to Polysomnography |
title_full | Measuring Sleep Quality and Efficiency With an Activity Monitoring Device in Comparison to Polysomnography |
title_fullStr | Measuring Sleep Quality and Efficiency With an Activity Monitoring Device in Comparison to Polysomnography |
title_full_unstemmed | Measuring Sleep Quality and Efficiency With an Activity Monitoring Device in Comparison to Polysomnography |
title_short | Measuring Sleep Quality and Efficiency With an Activity Monitoring Device in Comparison to Polysomnography |
title_sort | measuring sleep quality and efficiency with an activity monitoring device in comparison to polysomnography |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6879040/ https://www.ncbi.nlm.nih.gov/pubmed/31803327 http://dx.doi.org/10.14740/jocmr4026 |
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