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Nonlinear associations between working hours and overwork-related cerebrovascular and cardiovascular diseases (CCVD)
Long working hours are recognized as a risk factor for cerebrovascular and cardiovascular diseases (CCVD). We investigated the relationship between working hours and different CCVD severity outcomes—death, disability, and illness—across industries in Taiwan from 2006 to 2016. We applied a generalize...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018699/ https://www.ncbi.nlm.nih.gov/pubmed/29946079 http://dx.doi.org/10.1038/s41598-018-28141-2 |
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author | Lin, Ro-Ting Chien, Lung-Chang Kawachi, Ichiro |
author_facet | Lin, Ro-Ting Chien, Lung-Chang Kawachi, Ichiro |
author_sort | Lin, Ro-Ting |
collection | PubMed |
description | Long working hours are recognized as a risk factor for cerebrovascular and cardiovascular diseases (CCVD). We investigated the relationship between working hours and different CCVD severity outcomes—death, disability, and illness—across industries in Taiwan from 2006 to 2016. We applied a generalized additive mixed model to estimate the association between working hours and the rate of each severity outcome, adjusted for salary, unemployment rate, time, and a random intercept. Industry-average working hours were significantly associated with each outcome level of overwork-related CCVD, especially when monthly working hours increased from 169 (relative risk [RR] = 1.46, 95% confidence interval [CI] 1.002–2.12) to 187 (RR = 5.73, 95% CI 3.61–9.08). Although RR trends declined after monthly working hours exceeded 187, excess risks remained statistically significant. Each 1-hour increase in working hours had a stronger effect on the RR increase in death and disability than on illness. Variations in CCVD risks existed across industries, with the highest risk in transportation and information. Reducing working hours is essential to preventing overwork-related CCVD, especially the more severe outcomes. We recommend further research to address possible underreporting of less severe cases, and to explore actions to narrow the gaps in risk across industries. |
format | Online Article Text |
id | pubmed-6018699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60186992018-07-06 Nonlinear associations between working hours and overwork-related cerebrovascular and cardiovascular diseases (CCVD) Lin, Ro-Ting Chien, Lung-Chang Kawachi, Ichiro Sci Rep Article Long working hours are recognized as a risk factor for cerebrovascular and cardiovascular diseases (CCVD). We investigated the relationship between working hours and different CCVD severity outcomes—death, disability, and illness—across industries in Taiwan from 2006 to 2016. We applied a generalized additive mixed model to estimate the association between working hours and the rate of each severity outcome, adjusted for salary, unemployment rate, time, and a random intercept. Industry-average working hours were significantly associated with each outcome level of overwork-related CCVD, especially when monthly working hours increased from 169 (relative risk [RR] = 1.46, 95% confidence interval [CI] 1.002–2.12) to 187 (RR = 5.73, 95% CI 3.61–9.08). Although RR trends declined after monthly working hours exceeded 187, excess risks remained statistically significant. Each 1-hour increase in working hours had a stronger effect on the RR increase in death and disability than on illness. Variations in CCVD risks existed across industries, with the highest risk in transportation and information. Reducing working hours is essential to preventing overwork-related CCVD, especially the more severe outcomes. We recommend further research to address possible underreporting of less severe cases, and to explore actions to narrow the gaps in risk across industries. Nature Publishing Group UK 2018-06-26 /pmc/articles/PMC6018699/ /pubmed/29946079 http://dx.doi.org/10.1038/s41598-018-28141-2 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Lin, Ro-Ting Chien, Lung-Chang Kawachi, Ichiro Nonlinear associations between working hours and overwork-related cerebrovascular and cardiovascular diseases (CCVD) |
title | Nonlinear associations between working hours and overwork-related cerebrovascular and cardiovascular diseases (CCVD) |
title_full | Nonlinear associations between working hours and overwork-related cerebrovascular and cardiovascular diseases (CCVD) |
title_fullStr | Nonlinear associations between working hours and overwork-related cerebrovascular and cardiovascular diseases (CCVD) |
title_full_unstemmed | Nonlinear associations between working hours and overwork-related cerebrovascular and cardiovascular diseases (CCVD) |
title_short | Nonlinear associations between working hours and overwork-related cerebrovascular and cardiovascular diseases (CCVD) |
title_sort | nonlinear associations between working hours and overwork-related cerebrovascular and cardiovascular diseases (ccvd) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018699/ https://www.ncbi.nlm.nih.gov/pubmed/29946079 http://dx.doi.org/10.1038/s41598-018-28141-2 |
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