Shift work and long work hours and their association with chronic health conditions: A systematic review of systematic reviews with meta-analyses
Previous reviews have demonstrated that shift work and long work hours are associated with increased risk for chronic conditions. However, these reviews did not comprehensively assessed the body of evidence, and some were not conducted in a systematic manner. A better understanding of the health con...
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description | Previous reviews have demonstrated that shift work and long work hours are associated with increased risk for chronic conditions. However, these reviews did not comprehensively assessed the body of evidence, and some were not conducted in a systematic manner. A better understanding of the health consequences of shift work and long work hours will aid in creating policy and practice recommendations. This review revisits the epidemiologic evidence on the association of shift work and long work hours with chronic conditions with particular emphasis on assessing the quality of the evidence.
We conducted a systematic review of systematic reviews with meta-analyses (SR-MA) that assessed the link between shift work or long work hours and chronic conditions (PROSPERO CRD42019122084). We evaluated the risk of bias of each SR-MA using AMSTAR v2 and assessed the overall evidence for each condition using the GRADE approach. We included 48 reviews covering cancers, cardiovascular diseases, metabolic syndrome and related conditions, pregnancy complications, depression, hypertension, and injuries. On average, only 7 of 16 AMSTAR items were fulfilled. Few SR-MAs had a registered protocol and nearly all failed to conduct a comprehensive search. We found moderate grade evidence linking shift work to breast cancer and long work hours to stroke. We found low grade evidence linking both shift work and long work hours with low to moderate increase in risk for some pregnancy complications and cardiovascular diseases. Low grade evidence also link long work hours and depression.
Moderate grade evidence suggest that shift work and long work hours increase the risk of breast cancer and stroke, but the evidence is unclear on other chronic conditions. There is a need for high-quality studies to address this gap. Stakeholders should be made aware of these increased risks, and additional screening and prevention should be considered, particularly for workers susceptible to breast cancer and stroke. |
doi_str_mv | 10.1371/journal.pone.0231037 |
format | Article |
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We conducted a systematic review of systematic reviews with meta-analyses (SR-MA) that assessed the link between shift work or long work hours and chronic conditions (PROSPERO CRD42019122084). We evaluated the risk of bias of each SR-MA using AMSTAR v2 and assessed the overall evidence for each condition using the GRADE approach. We included 48 reviews covering cancers, cardiovascular diseases, metabolic syndrome and related conditions, pregnancy complications, depression, hypertension, and injuries. On average, only 7 of 16 AMSTAR items were fulfilled. Few SR-MAs had a registered protocol and nearly all failed to conduct a comprehensive search. We found moderate grade evidence linking shift work to breast cancer and long work hours to stroke. We found low grade evidence linking both shift work and long work hours with low to moderate increase in risk for some pregnancy complications and cardiovascular diseases. Low grade evidence also link long work hours and depression.
Moderate grade evidence suggest that shift work and long work hours increase the risk of breast cancer and stroke, but the evidence is unclear on other chronic conditions. There is a need for high-quality studies to address this gap. Stakeholders should be made aware of these increased risks, and additional screening and prevention should be considered, particularly for workers susceptible to breast cancer and stroke.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0231037</identifier><identifier>PMID: 32240254</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Bibliographic data bases ; Breast cancer ; Cancer ; Cardiovascular disease ; Cardiovascular diseases ; Chronic conditions ; Chronic illnesses ; Complications ; Diabetes ; Diseases ; DNA methylation ; Epidemiology ; Grey literature ; Health risks ; Hypertension ; Labor force ; Medicine ; Medicine and Health Sciences ; Metabolic disorders ; Metabolic syndrome ; Metabolism ; Personal health ; Physical Sciences ; Pregnancy ; Pregnancy complications ; Prejudice ; Public health ; Quality ; Quality assessment ; Research and Analysis Methods ; Reviews ; Risk ; Risk assessment ; Shift work ; Stroke ; Systematic review ; Work hours ; Workers ; Working conditions</subject><ispartof>PloS one, 2020-04, Vol.15 (4), p.e0231037-e0231037</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Rivera et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Rivera et al 2020 Rivera et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-b716bb22000a8f9323d74ac8f42c2723499be3a8e4bb69d2b71e6a39f21dd1213</citedby><cites>FETCH-LOGICAL-c692t-b716bb22000a8f9323d74ac8f42c2723499be3a8e4bb69d2b71e6a39f21dd1213</cites><orcidid>0000-0003-2533-0818 ; 0000-0003-0400-778X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7117719/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7117719/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32240254$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rivera, Adovich S</creatorcontrib><creatorcontrib>Akanbi, Maxwell</creatorcontrib><creatorcontrib>O'Dwyer, Linda C</creatorcontrib><creatorcontrib>McHugh, Megan</creatorcontrib><title>Shift work and long work hours and their association with chronic health conditions: A systematic review of systematic reviews with meta-analyses</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Previous reviews have demonstrated that shift work and long work hours are associated with increased risk for chronic conditions. However, these reviews did not comprehensively assessed the body of evidence, and some were not conducted in a systematic manner. A better understanding of the health consequences of shift work and long work hours will aid in creating policy and practice recommendations. This review revisits the epidemiologic evidence on the association of shift work and long work hours with chronic conditions with particular emphasis on assessing the quality of the evidence.
We conducted a systematic review of systematic reviews with meta-analyses (SR-MA) that assessed the link between shift work or long work hours and chronic conditions (PROSPERO CRD42019122084). We evaluated the risk of bias of each SR-MA using AMSTAR v2 and assessed the overall evidence for each condition using the GRADE approach. We included 48 reviews covering cancers, cardiovascular diseases, metabolic syndrome and related conditions, pregnancy complications, depression, hypertension, and injuries. On average, only 7 of 16 AMSTAR items were fulfilled. Few SR-MAs had a registered protocol and nearly all failed to conduct a comprehensive search. We found moderate grade evidence linking shift work to breast cancer and long work hours to stroke. We found low grade evidence linking both shift work and long work hours with low to moderate increase in risk for some pregnancy complications and cardiovascular diseases. Low grade evidence also link long work hours and depression.
Moderate grade evidence suggest that shift work and long work hours increase the risk of breast cancer and stroke, but the evidence is unclear on other chronic conditions. There is a need for high-quality studies to address this gap. Stakeholders should be made aware of these increased risks, and additional screening and prevention should be considered, particularly for workers susceptible to breast cancer and stroke.</description><subject>Analysis</subject><subject>Bibliographic data bases</subject><subject>Breast cancer</subject><subject>Cancer</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Chronic conditions</subject><subject>Chronic illnesses</subject><subject>Complications</subject><subject>Diabetes</subject><subject>Diseases</subject><subject>DNA methylation</subject><subject>Epidemiology</subject><subject>Grey literature</subject><subject>Health risks</subject><subject>Hypertension</subject><subject>Labor force</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Metabolism</subject><subject>Personal health</subject><subject>Physical 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One</addtitle><date>2020-04-02</date><risdate>2020</risdate><volume>15</volume><issue>4</issue><spage>e0231037</spage><epage>e0231037</epage><pages>e0231037-e0231037</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Previous reviews have demonstrated that shift work and long work hours are associated with increased risk for chronic conditions. However, these reviews did not comprehensively assessed the body of evidence, and some were not conducted in a systematic manner. A better understanding of the health consequences of shift work and long work hours will aid in creating policy and practice recommendations. This review revisits the epidemiologic evidence on the association of shift work and long work hours with chronic conditions with particular emphasis on assessing the quality of the evidence.
We conducted a systematic review of systematic reviews with meta-analyses (SR-MA) that assessed the link between shift work or long work hours and chronic conditions (PROSPERO CRD42019122084). We evaluated the risk of bias of each SR-MA using AMSTAR v2 and assessed the overall evidence for each condition using the GRADE approach. We included 48 reviews covering cancers, cardiovascular diseases, metabolic syndrome and related conditions, pregnancy complications, depression, hypertension, and injuries. On average, only 7 of 16 AMSTAR items were fulfilled. Few SR-MAs had a registered protocol and nearly all failed to conduct a comprehensive search. We found moderate grade evidence linking shift work to breast cancer and long work hours to stroke. We found low grade evidence linking both shift work and long work hours with low to moderate increase in risk for some pregnancy complications and cardiovascular diseases. Low grade evidence also link long work hours and depression.
Moderate grade evidence suggest that shift work and long work hours increase the risk of breast cancer and stroke, but the evidence is unclear on other chronic conditions. There is a need for high-quality studies to address this gap. Stakeholders should be made aware of these increased risks, and additional screening and prevention should be considered, particularly for workers susceptible to breast cancer and stroke.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32240254</pmid><doi>10.1371/journal.pone.0231037</doi><tpages>e0231037</tpages><orcidid>https://orcid.org/0000-0003-2533-0818</orcidid><orcidid>https://orcid.org/0000-0003-0400-778X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Bibliographic data bases Breast cancer Cancer Cardiovascular disease Cardiovascular diseases Chronic conditions Chronic illnesses Complications Diabetes Diseases DNA methylation Epidemiology Grey literature Health risks Hypertension Labor force Medicine Medicine and Health Sciences Metabolic disorders Metabolic syndrome Metabolism Personal health Physical Sciences Pregnancy Pregnancy complications Prejudice Public health Quality Quality assessment Research and Analysis Methods Reviews Risk Risk assessment Shift work Stroke Systematic review Work hours Workers Working conditions |
title | Shift work and long work hours and their association with chronic health conditions: A systematic review of systematic reviews with meta-analyses |
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