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Relationship between long work hours and self-reported sleep disorders of non-shift daytime wage workers in South Korea: data from the 5th Korean Working Conditions Survey

BACKGROUND: Studies have investigated the relationship between long work hours and sleep disorders; however, they have focused on shift workers or specific workers who are at high risk of industrial accidents rather than wage workers in general. The purpose of this study is to investigate the effect...

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Autores principales: Choi, Hongsuk, Lee, Sungho, Jeon, Man-Joong, Min, Young-Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Occupational & Environmental Medicine 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779839/
https://www.ncbi.nlm.nih.gov/pubmed/34754456
http://dx.doi.org/10.35371/aoem.2020.32.e35
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author Choi, Hongsuk
Lee, Sungho
Jeon, Man-Joong
Min, Young-Sun
author_facet Choi, Hongsuk
Lee, Sungho
Jeon, Man-Joong
Min, Young-Sun
author_sort Choi, Hongsuk
collection PubMed
description BACKGROUND: Studies have investigated the relationship between long work hours and sleep disorders; however, they have focused on shift workers or specific workers who are at high risk of industrial accidents rather than wage workers in general. The purpose of this study is to investigate the effects of long work hours on sleep disorders among non-shift daytime wage workers. METHODS: We conducted a secondary analysis of data from the 5th Korean Working Conditions Survey. From the 50,205 total participants, we included 26,522 non-shift daytime wage workers after excluding self-employed people, business owners, unpaid family employees, and wage workers who work nights and shifts. Sleep disorders were categorized into “difficulty in falling asleep,” “frequent waking,” and “waking up with fatigue.” Logistic regression analysis was used to evaluate the influence of long work hours on sleep disorders, and the odds ratios (ORs) were calculated. RESULTS: The OR of working > 52 hours per week was 1.183 (95% confidence interval [CI]: 1.002–1.394) for the risk of developing insomnia compared with working ≤ 40 hours per week. The OR of waking up with fatigue was 1.531 (95% CI: 1.302–1.801). Long work hours showed no significant relationship with difficulty in falling asleep or with frequent waking. CONCLUSIONS: Working for extended hours was associated with increased fatigue upon waking in non-shift daytime wage workers.
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spelling pubmed-77798392021-02-23 Relationship between long work hours and self-reported sleep disorders of non-shift daytime wage workers in South Korea: data from the 5th Korean Working Conditions Survey Choi, Hongsuk Lee, Sungho Jeon, Man-Joong Min, Young-Sun Ann Occup Environ Med Research Article BACKGROUND: Studies have investigated the relationship between long work hours and sleep disorders; however, they have focused on shift workers or specific workers who are at high risk of industrial accidents rather than wage workers in general. The purpose of this study is to investigate the effects of long work hours on sleep disorders among non-shift daytime wage workers. METHODS: We conducted a secondary analysis of data from the 5th Korean Working Conditions Survey. From the 50,205 total participants, we included 26,522 non-shift daytime wage workers after excluding self-employed people, business owners, unpaid family employees, and wage workers who work nights and shifts. Sleep disorders were categorized into “difficulty in falling asleep,” “frequent waking,” and “waking up with fatigue.” Logistic regression analysis was used to evaluate the influence of long work hours on sleep disorders, and the odds ratios (ORs) were calculated. RESULTS: The OR of working > 52 hours per week was 1.183 (95% confidence interval [CI]: 1.002–1.394) for the risk of developing insomnia compared with working ≤ 40 hours per week. The OR of waking up with fatigue was 1.531 (95% CI: 1.302–1.801). Long work hours showed no significant relationship with difficulty in falling asleep or with frequent waking. CONCLUSIONS: Working for extended hours was associated with increased fatigue upon waking in non-shift daytime wage workers. Korean Society of Occupational & Environmental Medicine 2020-11-03 /pmc/articles/PMC7779839/ /pubmed/34754456 http://dx.doi.org/10.35371/aoem.2020.32.e35 Text en Copyright © 2020 Korean Society of Occupational & Environmental Medicine https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Choi, Hongsuk
Lee, Sungho
Jeon, Man-Joong
Min, Young-Sun
Relationship between long work hours and self-reported sleep disorders of non-shift daytime wage workers in South Korea: data from the 5th Korean Working Conditions Survey
title Relationship between long work hours and self-reported sleep disorders of non-shift daytime wage workers in South Korea: data from the 5th Korean Working Conditions Survey
title_full Relationship between long work hours and self-reported sleep disorders of non-shift daytime wage workers in South Korea: data from the 5th Korean Working Conditions Survey
title_fullStr Relationship between long work hours and self-reported sleep disorders of non-shift daytime wage workers in South Korea: data from the 5th Korean Working Conditions Survey
title_full_unstemmed Relationship between long work hours and self-reported sleep disorders of non-shift daytime wage workers in South Korea: data from the 5th Korean Working Conditions Survey
title_short Relationship between long work hours and self-reported sleep disorders of non-shift daytime wage workers in South Korea: data from the 5th Korean Working Conditions Survey
title_sort relationship between long work hours and self-reported sleep disorders of non-shift daytime wage workers in south korea: data from the 5th korean working conditions survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779839/
https://www.ncbi.nlm.nih.gov/pubmed/34754456
http://dx.doi.org/10.35371/aoem.2020.32.e35
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