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A shift to something better? A longitudinal study of work schedule and prescribed sleep medication use in nurses

OBJECTIVES: To explore whether a change in work schedule was associated with a change in the probability of prescribed sleep medication use. METHODS: A longitudinal study with annual questionnaire data (2008/2009–2021, except 2019) on work schedule (day work only, shift work without nights and shift...

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Autores principales: Forthun, Ingeborg, Waage, Siri, Pallesen, Staale, Moen, Bente Elisabeth, Bjorvatn, Bjørn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606542/
https://www.ncbi.nlm.nih.gov/pubmed/35725298
http://dx.doi.org/10.1136/oemed-2022-108251
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author Forthun, Ingeborg
Waage, Siri
Pallesen, Staale
Moen, Bente Elisabeth
Bjorvatn, Bjørn
author_facet Forthun, Ingeborg
Waage, Siri
Pallesen, Staale
Moen, Bente Elisabeth
Bjorvatn, Bjørn
author_sort Forthun, Ingeborg
collection PubMed
description OBJECTIVES: To explore whether a change in work schedule was associated with a change in the probability of prescribed sleep medication use. METHODS: A longitudinal study with annual questionnaire data (2008/2009–2021, except 2019) on work schedule (day work only, shift work without nights and shift work with nights) and prescribed sleep medication use from 2028 Norwegian nurses (mean age 31.7 years, 90.5% women at baseline) who participated in the ongoing Survey of Shift work, Sleep and Health (SUSSH). Associations were estimated using a random effects model, and a fixed effects regression model in which nurses were included as their own control to account for potential unobserved confounding. RESULTS: In both models, day work was associated with a more than 50% lower probability of sleep medication use compared with shift work with nights (adjusted OR (aOR) 0.50, 95% CI 0.27 to 0.93 in the random effects model, and an aOR 0.32, 95% CI 0.14 to 0.70 in the fixed effects regression model). Shift work without nights was associated with a non-statistically significant reduction in sleep medication use within nurses in the fixed effects regression model when compared with shift work with nights (aOR 0.66, 95% CI 0.37 to 1.20). CONCLUSIONS: Day work was associated with a significant reduced probability of prescribed sleep medication use compared with shift work with nights. This indicates that quitting night work will improve sleep and thereby reduce hypnotic use.
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spelling pubmed-96065422022-10-28 A shift to something better? A longitudinal study of work schedule and prescribed sleep medication use in nurses Forthun, Ingeborg Waage, Siri Pallesen, Staale Moen, Bente Elisabeth Bjorvatn, Bjørn Occup Environ Med Workplace OBJECTIVES: To explore whether a change in work schedule was associated with a change in the probability of prescribed sleep medication use. METHODS: A longitudinal study with annual questionnaire data (2008/2009–2021, except 2019) on work schedule (day work only, shift work without nights and shift work with nights) and prescribed sleep medication use from 2028 Norwegian nurses (mean age 31.7 years, 90.5% women at baseline) who participated in the ongoing Survey of Shift work, Sleep and Health (SUSSH). Associations were estimated using a random effects model, and a fixed effects regression model in which nurses were included as their own control to account for potential unobserved confounding. RESULTS: In both models, day work was associated with a more than 50% lower probability of sleep medication use compared with shift work with nights (adjusted OR (aOR) 0.50, 95% CI 0.27 to 0.93 in the random effects model, and an aOR 0.32, 95% CI 0.14 to 0.70 in the fixed effects regression model). Shift work without nights was associated with a non-statistically significant reduction in sleep medication use within nurses in the fixed effects regression model when compared with shift work with nights (aOR 0.66, 95% CI 0.37 to 1.20). CONCLUSIONS: Day work was associated with a significant reduced probability of prescribed sleep medication use compared with shift work with nights. This indicates that quitting night work will improve sleep and thereby reduce hypnotic use. BMJ Publishing Group 2022-11 2022-06-20 /pmc/articles/PMC9606542/ /pubmed/35725298 http://dx.doi.org/10.1136/oemed-2022-108251 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Workplace
Forthun, Ingeborg
Waage, Siri
Pallesen, Staale
Moen, Bente Elisabeth
Bjorvatn, Bjørn
A shift to something better? A longitudinal study of work schedule and prescribed sleep medication use in nurses
title A shift to something better? A longitudinal study of work schedule and prescribed sleep medication use in nurses
title_full A shift to something better? A longitudinal study of work schedule and prescribed sleep medication use in nurses
title_fullStr A shift to something better? A longitudinal study of work schedule and prescribed sleep medication use in nurses
title_full_unstemmed A shift to something better? A longitudinal study of work schedule and prescribed sleep medication use in nurses
title_short A shift to something better? A longitudinal study of work schedule and prescribed sleep medication use in nurses
title_sort shift to something better? a longitudinal study of work schedule and prescribed sleep medication use in nurses
topic Workplace
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606542/
https://www.ncbi.nlm.nih.gov/pubmed/35725298
http://dx.doi.org/10.1136/oemed-2022-108251
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