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Factors related with quality on sleep of daytime workers

BACKGROUND: This study was conducted to identify the sleep status of daytime workers who do not work in shifts. This study analyzed factors affecting sleep duration and sleep quality. METHODS: This study was conducted on 1171 daytime workers at a manufacturing workshop. We used a self-administered q...

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Autores principales: Kim, Bu-il, Yoon, Seong-yong, Kim, Jin-seok, Woo, Kuck-Hyeun, Cho, Seong-yong, Lee, Ho, An, Jong-min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198439/
https://www.ncbi.nlm.nih.gov/pubmed/30386628
http://dx.doi.org/10.1186/s40557-018-0271-7
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author Kim, Bu-il
Yoon, Seong-yong
Kim, Jin-seok
Woo, Kuck-Hyeun
Cho, Seong-yong
Lee, Ho
An, Jong-min
author_facet Kim, Bu-il
Yoon, Seong-yong
Kim, Jin-seok
Woo, Kuck-Hyeun
Cho, Seong-yong
Lee, Ho
An, Jong-min
author_sort Kim, Bu-il
collection PubMed
description BACKGROUND: This study was conducted to identify the sleep status of daytime workers who do not work in shifts. This study analyzed factors affecting sleep duration and sleep quality. METHODS: This study was conducted on 1171 daytime workers at a manufacturing workshop. We used a self-administered questionnaire to investigate demographic variables, work type, working period, musculoskeletal symptoms and the Pittsburgh Sleep Quality Index to assess sleep. Regular health checkup was conducted for the worker’s clinical examination. RESULTS: The mean sleep duration was 6.36 h and the mean score on the Pittsburgh Sleep Quality Index was 4.46. Work type and obesity were related to sleep duration. Age, obesity and musculoskeletal pain were significantly related to sleep quality. The prevalence ratio of researcher group for short sleep duration was 1.27 (95% confidence interval: 1.02–1.58). The prevalence ratio of those aged 50 years and over was 0.47 (0.25–0.91) and of those in their 40s was 0.56 (0.35–0.91) for poor sleep quality compared to those in their 20s. The prevalence ratio of the obesity group for poor sleep quality was 1.53 (1.10–2.12). The prevalence ratio of musculoskeletal pain group for poor sleep quality was 1.92 (1.29–2.84). CONCLUSIONS: Age, obesity and musculoskeletal pain were factors affecting the poor quality on sleep of daytime workers. In addition, work type related to short sleep duration.
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spelling pubmed-61984392018-10-31 Factors related with quality on sleep of daytime workers Kim, Bu-il Yoon, Seong-yong Kim, Jin-seok Woo, Kuck-Hyeun Cho, Seong-yong Lee, Ho An, Jong-min Ann Occup Environ Med Research Article BACKGROUND: This study was conducted to identify the sleep status of daytime workers who do not work in shifts. This study analyzed factors affecting sleep duration and sleep quality. METHODS: This study was conducted on 1171 daytime workers at a manufacturing workshop. We used a self-administered questionnaire to investigate demographic variables, work type, working period, musculoskeletal symptoms and the Pittsburgh Sleep Quality Index to assess sleep. Regular health checkup was conducted for the worker’s clinical examination. RESULTS: The mean sleep duration was 6.36 h and the mean score on the Pittsburgh Sleep Quality Index was 4.46. Work type and obesity were related to sleep duration. Age, obesity and musculoskeletal pain were significantly related to sleep quality. The prevalence ratio of researcher group for short sleep duration was 1.27 (95% confidence interval: 1.02–1.58). The prevalence ratio of those aged 50 years and over was 0.47 (0.25–0.91) and of those in their 40s was 0.56 (0.35–0.91) for poor sleep quality compared to those in their 20s. The prevalence ratio of the obesity group for poor sleep quality was 1.53 (1.10–2.12). The prevalence ratio of musculoskeletal pain group for poor sleep quality was 1.92 (1.29–2.84). CONCLUSIONS: Age, obesity and musculoskeletal pain were factors affecting the poor quality on sleep of daytime workers. In addition, work type related to short sleep duration. BioMed Central 2018-10-23 /pmc/articles/PMC6198439/ /pubmed/30386628 http://dx.doi.org/10.1186/s40557-018-0271-7 Text en © The Author(s). 2018 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Kim, Bu-il
Yoon, Seong-yong
Kim, Jin-seok
Woo, Kuck-Hyeun
Cho, Seong-yong
Lee, Ho
An, Jong-min
Factors related with quality on sleep of daytime workers
title Factors related with quality on sleep of daytime workers
title_full Factors related with quality on sleep of daytime workers
title_fullStr Factors related with quality on sleep of daytime workers
title_full_unstemmed Factors related with quality on sleep of daytime workers
title_short Factors related with quality on sleep of daytime workers
title_sort factors related with quality on sleep of daytime workers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198439/
https://www.ncbi.nlm.nih.gov/pubmed/30386628
http://dx.doi.org/10.1186/s40557-018-0271-7
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