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The impact of a mobile app-based corporate sleep health improvement program on productivity: Validation through a randomized controlled trial
Based on a randomized controlled trial applied to employees of a manufacturing company, this study examines the extent to which a corporate sleep program improves workers’ sleep health and productivity. In the three-month sleep improvement program, applicants were randomly divided into a treatment g...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553342/ https://www.ncbi.nlm.nih.gov/pubmed/37796855 http://dx.doi.org/10.1371/journal.pone.0287051 |
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author | Kawata, Yuji Kuroda, Sachiko Owan, Hideo |
author_facet | Kawata, Yuji Kuroda, Sachiko Owan, Hideo |
author_sort | Kawata, Yuji |
collection | PubMed |
description | Based on a randomized controlled trial applied to employees of a manufacturing company, this study examines the extent to which a corporate sleep program improves workers’ sleep health and productivity. In the three-month sleep improvement program, applicants were randomly divided into a treatment group and a control group, and the treatment group was provided with a noncontact sensing device to visualize their sleep. A smartphone app linked to the device notified them of their sleep data every morning and presented them with advice on behavioral changes to improve their sleep on a weekly basis. The results of the analysis revealed the following. First, even after controlling for factors that may cause sleep disturbances and nocturnal awakenings, such as increased workload and the number of days spent working from home during the measurement period, the treatment group showed improved sleep after the program compared to the control group. Second, the treatment group showed statistically significant improvement in presenteeism (productivity). The effect size on presenteeism through sleep improvement was similar regardless of the estimation method used (i.e., ANCOVA estimator of ATT and two 2SLS methods were performed). In particular, we confirmed that productivity was restored through sleep improvement for the participants who diligently engaged in the program. These results suggest that promoting sleep health using information technology can improve sleep deficiency and restore productivity. |
format | Online Article Text |
id | pubmed-10553342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-105533422023-10-06 The impact of a mobile app-based corporate sleep health improvement program on productivity: Validation through a randomized controlled trial Kawata, Yuji Kuroda, Sachiko Owan, Hideo PLoS One Research Article Based on a randomized controlled trial applied to employees of a manufacturing company, this study examines the extent to which a corporate sleep program improves workers’ sleep health and productivity. In the three-month sleep improvement program, applicants were randomly divided into a treatment group and a control group, and the treatment group was provided with a noncontact sensing device to visualize their sleep. A smartphone app linked to the device notified them of their sleep data every morning and presented them with advice on behavioral changes to improve their sleep on a weekly basis. The results of the analysis revealed the following. First, even after controlling for factors that may cause sleep disturbances and nocturnal awakenings, such as increased workload and the number of days spent working from home during the measurement period, the treatment group showed improved sleep after the program compared to the control group. Second, the treatment group showed statistically significant improvement in presenteeism (productivity). The effect size on presenteeism through sleep improvement was similar regardless of the estimation method used (i.e., ANCOVA estimator of ATT and two 2SLS methods were performed). In particular, we confirmed that productivity was restored through sleep improvement for the participants who diligently engaged in the program. These results suggest that promoting sleep health using information technology can improve sleep deficiency and restore productivity. Public Library of Science 2023-10-05 /pmc/articles/PMC10553342/ /pubmed/37796855 http://dx.doi.org/10.1371/journal.pone.0287051 Text en © 2023 Kawata et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kawata, Yuji Kuroda, Sachiko Owan, Hideo The impact of a mobile app-based corporate sleep health improvement program on productivity: Validation through a randomized controlled trial |
title | The impact of a mobile app-based corporate sleep health improvement program on productivity: Validation through a randomized controlled trial |
title_full | The impact of a mobile app-based corporate sleep health improvement program on productivity: Validation through a randomized controlled trial |
title_fullStr | The impact of a mobile app-based corporate sleep health improvement program on productivity: Validation through a randomized controlled trial |
title_full_unstemmed | The impact of a mobile app-based corporate sleep health improvement program on productivity: Validation through a randomized controlled trial |
title_short | The impact of a mobile app-based corporate sleep health improvement program on productivity: Validation through a randomized controlled trial |
title_sort | impact of a mobile app-based corporate sleep health improvement program on productivity: validation through a randomized controlled trial |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553342/ https://www.ncbi.nlm.nih.gov/pubmed/37796855 http://dx.doi.org/10.1371/journal.pone.0287051 |
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