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Fixed night workers and failed smoking cessation

BACKGROUND: The objective of this study was to examine the relationship between employee work schedule and failure in smoking cessation. METHODS: Logistic regression was used to estimate the association between work schedule and failed smoking cessation rate among 4927 male workers who had attempted...

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Autores principales: Cho, Youn-Mo, Kim, Hyoung-Ryoul, Kang, Mo-Yeol, Myong, Jun-Pyo, Koo, Jung Wan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683487/
https://www.ncbi.nlm.nih.gov/pubmed/31404360
http://dx.doi.org/10.1186/s12995-019-0243-z
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author Cho, Youn-Mo
Kim, Hyoung-Ryoul
Kang, Mo-Yeol
Myong, Jun-Pyo
Koo, Jung Wan
author_facet Cho, Youn-Mo
Kim, Hyoung-Ryoul
Kang, Mo-Yeol
Myong, Jun-Pyo
Koo, Jung Wan
author_sort Cho, Youn-Mo
collection PubMed
description BACKGROUND: The objective of this study was to examine the relationship between employee work schedule and failure in smoking cessation. METHODS: Logistic regression was used to estimate the association between work schedule and failed smoking cessation rate among 4927 male workers who had attempted smoking cessation. The data was obtained from the annual Korean National Health and Nutrition Examination Survey from 2007 to 2015 (excluding data from 2013). An adjusted model, including demographic and occupational variables, was constructed after stratifying the data into two subgroups by age (the 19- to 40-year-old group and the 41- to 60-year-old group). RESULTS: The percentage of smoking-cessation failure varied according to work schedule and age. The failure rate in the 19- to 40-year-old group was generally higher for all work schedule categories than in the 41- to 60-year-old group. In particular, the highest percentage (90.9%) of smoking-cessation failure was in the fixed overnight work group. After adjusting for demographic characteristics and work organization variables, the odds ratio for failed smoking cessation across all ages was 3.30 (95%CI 2.23–4.86) among the fixed overnight workers compared to the daytime workers. Both of the age-stratified subgroups maintained this relationship, with a notably higher OR in the 19- to 40-year-old group (OR 3.74, 95% CI 1.80–7.77). CONCLUSIONS: Fixed overnight work is likely to negatively affect smoking cessation compared to other work schedules. Tailored anti-smoking intervention programs are required based on work schedule.
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spelling pubmed-66834872019-08-09 Fixed night workers and failed smoking cessation Cho, Youn-Mo Kim, Hyoung-Ryoul Kang, Mo-Yeol Myong, Jun-Pyo Koo, Jung Wan J Occup Med Toxicol Research BACKGROUND: The objective of this study was to examine the relationship between employee work schedule and failure in smoking cessation. METHODS: Logistic regression was used to estimate the association between work schedule and failed smoking cessation rate among 4927 male workers who had attempted smoking cessation. The data was obtained from the annual Korean National Health and Nutrition Examination Survey from 2007 to 2015 (excluding data from 2013). An adjusted model, including demographic and occupational variables, was constructed after stratifying the data into two subgroups by age (the 19- to 40-year-old group and the 41- to 60-year-old group). RESULTS: The percentage of smoking-cessation failure varied according to work schedule and age. The failure rate in the 19- to 40-year-old group was generally higher for all work schedule categories than in the 41- to 60-year-old group. In particular, the highest percentage (90.9%) of smoking-cessation failure was in the fixed overnight work group. After adjusting for demographic characteristics and work organization variables, the odds ratio for failed smoking cessation across all ages was 3.30 (95%CI 2.23–4.86) among the fixed overnight workers compared to the daytime workers. Both of the age-stratified subgroups maintained this relationship, with a notably higher OR in the 19- to 40-year-old group (OR 3.74, 95% CI 1.80–7.77). CONCLUSIONS: Fixed overnight work is likely to negatively affect smoking cessation compared to other work schedules. Tailored anti-smoking intervention programs are required based on work schedule. BioMed Central 2019-08-05 /pmc/articles/PMC6683487/ /pubmed/31404360 http://dx.doi.org/10.1186/s12995-019-0243-z Text en © The Author(s). 2019 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
Cho, Youn-Mo
Kim, Hyoung-Ryoul
Kang, Mo-Yeol
Myong, Jun-Pyo
Koo, Jung Wan
Fixed night workers and failed smoking cessation
title Fixed night workers and failed smoking cessation
title_full Fixed night workers and failed smoking cessation
title_fullStr Fixed night workers and failed smoking cessation
title_full_unstemmed Fixed night workers and failed smoking cessation
title_short Fixed night workers and failed smoking cessation
title_sort fixed night workers and failed smoking cessation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683487/
https://www.ncbi.nlm.nih.gov/pubmed/31404360
http://dx.doi.org/10.1186/s12995-019-0243-z
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