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Shift Work and Lifestyle Factors: A 6-Year Follow-Up Study Among Nurses

Objectives: To evaluate different work schedules, short rest time between shifts (quick returns), and night shift exposure for their possible adverse effects on different lifestyle factors in a 6-year follow-up study. Methods: Data stemmed from “The Survey of Shiftwork, Sleep and Health,” a cohort s...

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Autores principales: Buchvold, Hogne Vikanes, Pallesen, Ståle, Waage, Siri, Moen, Bente E., Bjorvatn, Bjørn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843055/
https://www.ncbi.nlm.nih.gov/pubmed/31750282
http://dx.doi.org/10.3389/fpubh.2019.00281
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author Buchvold, Hogne Vikanes
Pallesen, Ståle
Waage, Siri
Moen, Bente E.
Bjorvatn, Bjørn
author_facet Buchvold, Hogne Vikanes
Pallesen, Ståle
Waage, Siri
Moen, Bente E.
Bjorvatn, Bjørn
author_sort Buchvold, Hogne Vikanes
collection PubMed
description Objectives: To evaluate different work schedules, short rest time between shifts (quick returns), and night shift exposure for their possible adverse effects on different lifestyle factors in a 6-year follow-up study. Methods: Data stemmed from “The Survey of Shiftwork, Sleep and Health,” a cohort study of Norwegian nurses started in 2008/9. The data analyzed in this sub-cohort of SUSSH were from 2008/9 to 2015 and consisted of 1,371 nurses. The lifestyle factors were: Exercise (≥1 h/week, <1 h/week), caffeine consumption (units/day), smoking (prevalence and cigarettes/day), and alcohol consumption (AUDIT-C score). We divided the nurses into four groups: (1) day workers, (2) night workers, (3) nurses who changed toward, and (4) nurses who changed away from a schedule containing night shifts. Furthermore, average number of yearly night shifts (NN), and average number of quick returns (QR) were calculated. Paired t-tests, McNemar tests, and logistic regression analyses were used in the analyses. Results: We found a significant increase in caffeine consumption across all work schedule groups and a decline in smoking prevalence for day workers and night workers at follow-up. Analyses did not show any significant differences between groups when analyzing (1) different work schedules, (2) different exposures to QR, (3) different exposures to NN on the respective lifestyle factor trajectories. Conclusion: We found no significant differences between the different work schedule groups or concerning different exposures to QR or NN when evaluating these lifestyle factor trajectories. This challenges the notion that shift work has an adverse impact on lifestyle factors.
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spelling pubmed-68430552019-11-20 Shift Work and Lifestyle Factors: A 6-Year Follow-Up Study Among Nurses Buchvold, Hogne Vikanes Pallesen, Ståle Waage, Siri Moen, Bente E. Bjorvatn, Bjørn Front Public Health Public Health Objectives: To evaluate different work schedules, short rest time between shifts (quick returns), and night shift exposure for their possible adverse effects on different lifestyle factors in a 6-year follow-up study. Methods: Data stemmed from “The Survey of Shiftwork, Sleep and Health,” a cohort study of Norwegian nurses started in 2008/9. The data analyzed in this sub-cohort of SUSSH were from 2008/9 to 2015 and consisted of 1,371 nurses. The lifestyle factors were: Exercise (≥1 h/week, <1 h/week), caffeine consumption (units/day), smoking (prevalence and cigarettes/day), and alcohol consumption (AUDIT-C score). We divided the nurses into four groups: (1) day workers, (2) night workers, (3) nurses who changed toward, and (4) nurses who changed away from a schedule containing night shifts. Furthermore, average number of yearly night shifts (NN), and average number of quick returns (QR) were calculated. Paired t-tests, McNemar tests, and logistic regression analyses were used in the analyses. Results: We found a significant increase in caffeine consumption across all work schedule groups and a decline in smoking prevalence for day workers and night workers at follow-up. Analyses did not show any significant differences between groups when analyzing (1) different work schedules, (2) different exposures to QR, (3) different exposures to NN on the respective lifestyle factor trajectories. Conclusion: We found no significant differences between the different work schedule groups or concerning different exposures to QR or NN when evaluating these lifestyle factor trajectories. This challenges the notion that shift work has an adverse impact on lifestyle factors. Frontiers Media S.A. 2019-10-16 /pmc/articles/PMC6843055/ /pubmed/31750282 http://dx.doi.org/10.3389/fpubh.2019.00281 Text en Copyright © 2019 Buchvold, Pallesen, Waage, Moen and Bjorvatn. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Buchvold, Hogne Vikanes
Pallesen, Ståle
Waage, Siri
Moen, Bente E.
Bjorvatn, Bjørn
Shift Work and Lifestyle Factors: A 6-Year Follow-Up Study Among Nurses
title Shift Work and Lifestyle Factors: A 6-Year Follow-Up Study Among Nurses
title_full Shift Work and Lifestyle Factors: A 6-Year Follow-Up Study Among Nurses
title_fullStr Shift Work and Lifestyle Factors: A 6-Year Follow-Up Study Among Nurses
title_full_unstemmed Shift Work and Lifestyle Factors: A 6-Year Follow-Up Study Among Nurses
title_short Shift Work and Lifestyle Factors: A 6-Year Follow-Up Study Among Nurses
title_sort shift work and lifestyle factors: a 6-year follow-up study among nurses
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843055/
https://www.ncbi.nlm.nih.gov/pubmed/31750282
http://dx.doi.org/10.3389/fpubh.2019.00281
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