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Atypical working hours are associated with tobacco, cannabis and alcohol use: longitudinal analyses from the CONSTANCES cohort

BACKGROUND: This study examined prospective associations between atypical working hours with subsequent tobacco, cannabis and alcohol use as well as sugar and fat consumption. METHODS: In the French population-based CONSTANCES cohort, 47,288 men and 53,324 women currently employed included between 2...

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Autores principales: Hamieh, Nadine, Airagnes, Guillaume, Descatha, Alexis, Goldberg, Marcel, Limosin, Frédéric, Roquelaure, Yves, Lemogne, Cédric, Zins, Marie, Matta, Joane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523930/
https://www.ncbi.nlm.nih.gov/pubmed/36175874
http://dx.doi.org/10.1186/s12889-022-14246-x
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author Hamieh, Nadine
Airagnes, Guillaume
Descatha, Alexis
Goldberg, Marcel
Limosin, Frédéric
Roquelaure, Yves
Lemogne, Cédric
Zins, Marie
Matta, Joane
author_facet Hamieh, Nadine
Airagnes, Guillaume
Descatha, Alexis
Goldberg, Marcel
Limosin, Frédéric
Roquelaure, Yves
Lemogne, Cédric
Zins, Marie
Matta, Joane
author_sort Hamieh, Nadine
collection PubMed
description BACKGROUND: This study examined prospective associations between atypical working hours with subsequent tobacco, cannabis and alcohol use as well as sugar and fat consumption. METHODS: In the French population-based CONSTANCES cohort, 47,288 men and 53,324 women currently employed included between 2012 and 2017 were annually followed for tobacco and cannabis use. Among them, 35,647 men and 39,767 women included between 2012 and 2016 were also followed for alcohol and sugar and fat consumption. Three indicators of atypical working hours were self-reported at baseline: working at night, weekend work and non-fixed working hours. Generalized linear models computed odds of substance use and sugar and fat consumption at follow-up according to atypical working hours at baseline while adjusting for sociodemographic factors, depression and baseline substance use when appropriate. RESULTS: Working at night was associated with decreased smoking cessation and increased relapse in women [odds ratios (ORs) of 0.81 and 1.25], increased cannabis use in men [ORs from 1.46 to 1.54] and increased alcohol use [ORs from 1.12 to 1.14] in both men and women. Weekend work was associated with decreased smoking cessation in women [ORs from 0.89 to 0.90] and increased alcohol use in both men and women [ORs from 1.09 to 1.14]. Non-fixed hours were associated with decreased smoking cessation in women and increased relapse in men [ORs of 0.89 and 1.13] and increased alcohol use in both men and women [ORs from 1.12 to 1.19]. Overall, atypical working hours were associated with decreased sugar and fat consumption. CONCLUSIONS: The potential role of atypical working hours on substance use should be considered by public health policy makers and clinicians in information and prevention strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14246-x.
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spelling pubmed-95239302022-10-01 Atypical working hours are associated with tobacco, cannabis and alcohol use: longitudinal analyses from the CONSTANCES cohort Hamieh, Nadine Airagnes, Guillaume Descatha, Alexis Goldberg, Marcel Limosin, Frédéric Roquelaure, Yves Lemogne, Cédric Zins, Marie Matta, Joane BMC Public Health Research BACKGROUND: This study examined prospective associations between atypical working hours with subsequent tobacco, cannabis and alcohol use as well as sugar and fat consumption. METHODS: In the French population-based CONSTANCES cohort, 47,288 men and 53,324 women currently employed included between 2012 and 2017 were annually followed for tobacco and cannabis use. Among them, 35,647 men and 39,767 women included between 2012 and 2016 were also followed for alcohol and sugar and fat consumption. Three indicators of atypical working hours were self-reported at baseline: working at night, weekend work and non-fixed working hours. Generalized linear models computed odds of substance use and sugar and fat consumption at follow-up according to atypical working hours at baseline while adjusting for sociodemographic factors, depression and baseline substance use when appropriate. RESULTS: Working at night was associated with decreased smoking cessation and increased relapse in women [odds ratios (ORs) of 0.81 and 1.25], increased cannabis use in men [ORs from 1.46 to 1.54] and increased alcohol use [ORs from 1.12 to 1.14] in both men and women. Weekend work was associated with decreased smoking cessation in women [ORs from 0.89 to 0.90] and increased alcohol use in both men and women [ORs from 1.09 to 1.14]. Non-fixed hours were associated with decreased smoking cessation in women and increased relapse in men [ORs of 0.89 and 1.13] and increased alcohol use in both men and women [ORs from 1.12 to 1.19]. Overall, atypical working hours were associated with decreased sugar and fat consumption. CONCLUSIONS: The potential role of atypical working hours on substance use should be considered by public health policy makers and clinicians in information and prevention strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14246-x. BioMed Central 2022-09-29 /pmc/articles/PMC9523930/ /pubmed/36175874 http://dx.doi.org/10.1186/s12889-022-14246-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Hamieh, Nadine
Airagnes, Guillaume
Descatha, Alexis
Goldberg, Marcel
Limosin, Frédéric
Roquelaure, Yves
Lemogne, Cédric
Zins, Marie
Matta, Joane
Atypical working hours are associated with tobacco, cannabis and alcohol use: longitudinal analyses from the CONSTANCES cohort
title Atypical working hours are associated with tobacco, cannabis and alcohol use: longitudinal analyses from the CONSTANCES cohort
title_full Atypical working hours are associated with tobacco, cannabis and alcohol use: longitudinal analyses from the CONSTANCES cohort
title_fullStr Atypical working hours are associated with tobacco, cannabis and alcohol use: longitudinal analyses from the CONSTANCES cohort
title_full_unstemmed Atypical working hours are associated with tobacco, cannabis and alcohol use: longitudinal analyses from the CONSTANCES cohort
title_short Atypical working hours are associated with tobacco, cannabis and alcohol use: longitudinal analyses from the CONSTANCES cohort
title_sort atypical working hours are associated with tobacco, cannabis and alcohol use: longitudinal analyses from the constances cohort
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523930/
https://www.ncbi.nlm.nih.gov/pubmed/36175874
http://dx.doi.org/10.1186/s12889-022-14246-x
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