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Does non-standard work mean non-standard health? Exploring links between non-standard work schedules, health behavior, and well-being

The last century has seen dramatic shifts in population work circumstances, leading to an increasing normalization of non-standard work schedules (NSWSs), defined as non-daytime, irregular hours. An ever-growing body of evidence links NSWSs to a host of non-communicable chronic conditions; yet, thes...

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Autores principales: Winkler, Megan R., Mason, Susan, Laska, Melissa N., Christoph, Mary J., Neumark-Sztainer, Dianne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5769120/
https://www.ncbi.nlm.nih.gov/pubmed/29349282
http://dx.doi.org/10.1016/j.ssmph.2017.12.003
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author Winkler, Megan R.
Mason, Susan
Laska, Melissa N.
Christoph, Mary J.
Neumark-Sztainer, Dianne
author_facet Winkler, Megan R.
Mason, Susan
Laska, Melissa N.
Christoph, Mary J.
Neumark-Sztainer, Dianne
author_sort Winkler, Megan R.
collection PubMed
description The last century has seen dramatic shifts in population work circumstances, leading to an increasing normalization of non-standard work schedules (NSWSs), defined as non-daytime, irregular hours. An ever-growing body of evidence links NSWSs to a host of non-communicable chronic conditions; yet, these associations primarily concentrate on the physiologic mechanisms created by circadian disruption and insufficient sleep. While important, not all NSWSs create such chronobiologic disruption, and other aspects of working time and synchronization could be important to the relationships between work schedules and chronic disease. Leveraging survey data from Project EAT, a population-based study with health-related behavioral and psychological data from U.S. adults aged 25–36 years, this study explored the risks for a broad range of less healthful behavioral and well-being outcomes among NSWS workers compared to standard schedule workers (n = 1402). Variations across different NSWSs (evening, night/rotating, and irregular schedules) were also explored. Results indicated that, relative to standard schedule workers, workers with NSWSs are at increased risk for non-optimal sleep, substance use, greater recreational screen time, worse dietary practices, obesity, and depression. There was minimal evidence to support differences in relative risks across workers with different types of NSWSs. The findings provide insight into the potential links between NSWSs and chronic disease and indicate the relevancy social disruption and daily health practices may play in the production of health and well-being outcomes among working populations.
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spelling pubmed-57691202018-01-18 Does non-standard work mean non-standard health? Exploring links between non-standard work schedules, health behavior, and well-being Winkler, Megan R. Mason, Susan Laska, Melissa N. Christoph, Mary J. Neumark-Sztainer, Dianne SSM Popul Health Article The last century has seen dramatic shifts in population work circumstances, leading to an increasing normalization of non-standard work schedules (NSWSs), defined as non-daytime, irregular hours. An ever-growing body of evidence links NSWSs to a host of non-communicable chronic conditions; yet, these associations primarily concentrate on the physiologic mechanisms created by circadian disruption and insufficient sleep. While important, not all NSWSs create such chronobiologic disruption, and other aspects of working time and synchronization could be important to the relationships between work schedules and chronic disease. Leveraging survey data from Project EAT, a population-based study with health-related behavioral and psychological data from U.S. adults aged 25–36 years, this study explored the risks for a broad range of less healthful behavioral and well-being outcomes among NSWS workers compared to standard schedule workers (n = 1402). Variations across different NSWSs (evening, night/rotating, and irregular schedules) were also explored. Results indicated that, relative to standard schedule workers, workers with NSWSs are at increased risk for non-optimal sleep, substance use, greater recreational screen time, worse dietary practices, obesity, and depression. There was minimal evidence to support differences in relative risks across workers with different types of NSWSs. The findings provide insight into the potential links between NSWSs and chronic disease and indicate the relevancy social disruption and daily health practices may play in the production of health and well-being outcomes among working populations. Elsevier 2017-12-20 /pmc/articles/PMC5769120/ /pubmed/29349282 http://dx.doi.org/10.1016/j.ssmph.2017.12.003 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Winkler, Megan R.
Mason, Susan
Laska, Melissa N.
Christoph, Mary J.
Neumark-Sztainer, Dianne
Does non-standard work mean non-standard health? Exploring links between non-standard work schedules, health behavior, and well-being
title Does non-standard work mean non-standard health? Exploring links between non-standard work schedules, health behavior, and well-being
title_full Does non-standard work mean non-standard health? Exploring links between non-standard work schedules, health behavior, and well-being
title_fullStr Does non-standard work mean non-standard health? Exploring links between non-standard work schedules, health behavior, and well-being
title_full_unstemmed Does non-standard work mean non-standard health? Exploring links between non-standard work schedules, health behavior, and well-being
title_short Does non-standard work mean non-standard health? Exploring links between non-standard work schedules, health behavior, and well-being
title_sort does non-standard work mean non-standard health? exploring links between non-standard work schedules, health behavior, and well-being
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5769120/
https://www.ncbi.nlm.nih.gov/pubmed/29349282
http://dx.doi.org/10.1016/j.ssmph.2017.12.003
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