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The relationship of sleep complaints risk factors with sleep phase, quality, and quantity in Japanese workers

Numerous studies have determined that lifestyle factors (smoking, drinking, snacking, etc.) and the bedroom environment can influence sleep. We developed a new sleep scale—the 3-Dimensional Sleep Scale (3DSS)—which measures three elements of sleep: phase, quality, and quantity. The purpose of this s...

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Autores principales: Matsumoto, Yuuki, Uchimura, Naohisa, Ishida, Tetsuya, Morimatsu, Yoshitaka, Mori, Mihoko, Inoue, Miyako, Kushino, Nanae, Hoshiko, Michiko, Ishitake, Tatsuya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Japan 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5605601/
https://www.ncbi.nlm.nih.gov/pubmed/28989323
http://dx.doi.org/10.1007/s41105-017-0110-1
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author Matsumoto, Yuuki
Uchimura, Naohisa
Ishida, Tetsuya
Morimatsu, Yoshitaka
Mori, Mihoko
Inoue, Miyako
Kushino, Nanae
Hoshiko, Michiko
Ishitake, Tatsuya
author_facet Matsumoto, Yuuki
Uchimura, Naohisa
Ishida, Tetsuya
Morimatsu, Yoshitaka
Mori, Mihoko
Inoue, Miyako
Kushino, Nanae
Hoshiko, Michiko
Ishitake, Tatsuya
author_sort Matsumoto, Yuuki
collection PubMed
description Numerous studies have determined that lifestyle factors (smoking, drinking, snacking, etc.) and the bedroom environment can influence sleep. We developed a new sleep scale—the 3-Dimensional Sleep Scale (3DSS)—which measures three elements of sleep: phase, quality, and quantity. The purpose of this study is to determine which risk factors of sleep complaints are associated with these sleep elements. Data were obtained from 366 Japanese day workers (302 men and 64 women). Sleep condition was assessed with the 3DSS, and we also assessed various habits within 2 h of going to bed, including smoking, drinking, snacking, caffeine intake, mobile phone use, and working. We also asked about bedroom environmental conditions (noise, lighting, and temperature and humidity). Multivariate logistic regression analysis using the backward selection method (likelihood ratio) was used, with 3DSS scores as the outcome (i.e., over or under the cutoff). The results showed that smoking was associated with significantly greater odds ratio [2.71 (1.65–4.44)] of disordered sleep phase, while lighting as well as temperature and humidity led to greater odds [3.67 (1.55–8.68), 1.93 (1.20–3.11)] of poor sleep quality. Finally, only noise was significantly related to greater odds [1.98 (1.13–3.46)] of low sleep quantity. These findings indicated the various risk factors of sleep complaints could be associated with different sleep elements. This might help in the effective treatment of sleep complaints.
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spelling pubmed-56056012017-10-04 The relationship of sleep complaints risk factors with sleep phase, quality, and quantity in Japanese workers Matsumoto, Yuuki Uchimura, Naohisa Ishida, Tetsuya Morimatsu, Yoshitaka Mori, Mihoko Inoue, Miyako Kushino, Nanae Hoshiko, Michiko Ishitake, Tatsuya Sleep Biol Rhythms Original Article Numerous studies have determined that lifestyle factors (smoking, drinking, snacking, etc.) and the bedroom environment can influence sleep. We developed a new sleep scale—the 3-Dimensional Sleep Scale (3DSS)—which measures three elements of sleep: phase, quality, and quantity. The purpose of this study is to determine which risk factors of sleep complaints are associated with these sleep elements. Data were obtained from 366 Japanese day workers (302 men and 64 women). Sleep condition was assessed with the 3DSS, and we also assessed various habits within 2 h of going to bed, including smoking, drinking, snacking, caffeine intake, mobile phone use, and working. We also asked about bedroom environmental conditions (noise, lighting, and temperature and humidity). Multivariate logistic regression analysis using the backward selection method (likelihood ratio) was used, with 3DSS scores as the outcome (i.e., over or under the cutoff). The results showed that smoking was associated with significantly greater odds ratio [2.71 (1.65–4.44)] of disordered sleep phase, while lighting as well as temperature and humidity led to greater odds [3.67 (1.55–8.68), 1.93 (1.20–3.11)] of poor sleep quality. Finally, only noise was significantly related to greater odds [1.98 (1.13–3.46)] of low sleep quantity. These findings indicated the various risk factors of sleep complaints could be associated with different sleep elements. This might help in the effective treatment of sleep complaints. Springer Japan 2017-07-21 2017 /pmc/articles/PMC5605601/ /pubmed/28989323 http://dx.doi.org/10.1007/s41105-017-0110-1 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Matsumoto, Yuuki
Uchimura, Naohisa
Ishida, Tetsuya
Morimatsu, Yoshitaka
Mori, Mihoko
Inoue, Miyako
Kushino, Nanae
Hoshiko, Michiko
Ishitake, Tatsuya
The relationship of sleep complaints risk factors with sleep phase, quality, and quantity in Japanese workers
title The relationship of sleep complaints risk factors with sleep phase, quality, and quantity in Japanese workers
title_full The relationship of sleep complaints risk factors with sleep phase, quality, and quantity in Japanese workers
title_fullStr The relationship of sleep complaints risk factors with sleep phase, quality, and quantity in Japanese workers
title_full_unstemmed The relationship of sleep complaints risk factors with sleep phase, quality, and quantity in Japanese workers
title_short The relationship of sleep complaints risk factors with sleep phase, quality, and quantity in Japanese workers
title_sort relationship of sleep complaints risk factors with sleep phase, quality, and quantity in japanese workers
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5605601/
https://www.ncbi.nlm.nih.gov/pubmed/28989323
http://dx.doi.org/10.1007/s41105-017-0110-1
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