Impact of shift work on sleep and fatigue in Maritime pilots
This study examined how objective measures of sleep change across shift-cycles, and the impact of this on sleep quality and fatigue. Forty maritime pilots were recruited from Australian ports. Sleep wake-behaviour (timing and length), and self-reported sleep quality and fatigue, were assessed to det...
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| Veröffentlicht in: | Ergonomics 2021-07, Vol.64 (7), p.856-868 |
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| creator | Tait, Jamie L. Chambers, Timothy P. Tait, Regan S. Main, Luana C. |
| description | This study examined how objective measures of sleep change across shift-cycles, and the impact of this on sleep quality and fatigue. Forty maritime pilots were recruited from Australian ports. Sleep wake-behaviour (timing and length), and self-reported sleep quality and fatigue, were assessed to determine any impact of roster status and 'on-call' status. On-roster pilots experienced reduced night time sleep duration compared to those off-roster (57 ± 8.8 min), while working on-call also diminished night time sleep duration (126 ± 11.3 min) and quality, compared to workers not on-call. Fatigue scores indicated that participants were not fully recovered prior to commencing rostered night shift, while sleep quality was significantly worse following sleep that occurred after a night shift, compared to after a day shift. These findings potentially support workplace negotiations to change future shift cycles, and to adopt monitoring systems that may mitigate the risk of fatigue-related accidents and chronic health outcomes. Practitioner summary: Long and irregular work hours of maritime pilotage can compromise worker performance and safety. This observational study found that on-roster pilots experience reduced sleep duration compared to those off-roster, while working on-call further diminishes sleep duration and quality. Future workload/fatigue monitoring systems may mitigate fatigue-related accidents and adverse chronic health outcomes.
Abbreviations: ANOVA: analysis of variance; ANCOVA: analysis of covariance; BMI: body mass index; CVD: cardiovascular disease; h: hours; mins: minutes; SE: standard error of the mean; SD: standard deviation; SO: sleep opportunities; TST: total sleep time; WASO: wake after sleep onset |
| doi_str_mv | 10.1080/00140139.2021.1882705 |
| format | Article |
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Abbreviations: ANOVA: analysis of variance; ANCOVA: analysis of covariance; BMI: body mass index; CVD: cardiovascular disease; h: hours; mins: minutes; SE: standard error of the mean; SD: standard deviation; SO: sleep opportunities; TST: total sleep time; WASO: wake after sleep onset</description><identifier>ISSN: 0014-0139</identifier><identifier>EISSN: 1366-5847</identifier><identifier>DOI: 10.1080/00140139.2021.1882705</identifier><identifier>PMID: 33523762</identifier><language>eng</language><publisher>England: Taylor & Francis</publisher><subject>Abbreviations ; Accidents ; actigraphy ; Analysis of covariance ; Body mass index ; Body size ; Cardiovascular diseases ; Fatigue ; Heart diseases ; Maritime ; Monitoring systems ; Negotiations ; Night shifts ; Nighttime ; Observational studies ; on-call ; Pilotage ; Quality assessment ; shift cycle ; Shift work ; Sleep ; Sleep and wakefulness ; Sleep deprivation ; sleep disruption ; Space life sciences ; Standard error ; Variance analysis ; Working conditions ; Workload</subject><ispartof>Ergonomics, 2021-07, Vol.64 (7), p.856-868</ispartof><rights>2021 Informa UK Limited, trading as Taylor & Francis Group 2021</rights><rights>2021 Informa UK Limited, trading as Taylor & Francis Group</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c460t-981b67dc93c397e24651dbea26e12ca4540d18f7a94f35df26f32a8b0f1497343</citedby><cites>FETCH-LOGICAL-c460t-981b67dc93c397e24651dbea26e12ca4540d18f7a94f35df26f32a8b0f1497343</cites><orcidid>0000-0002-5792-9430 ; 0000-0002-9576-9466 ; 0000-0002-2173-8907</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/00140139.2021.1882705$$EPDF$$P50$$Ginformaworld$$H</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/00140139.2021.1882705$$EHTML$$P50$$Ginformaworld$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,59620,60409</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33523762$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tait, Jamie L.</creatorcontrib><creatorcontrib>Chambers, Timothy P.</creatorcontrib><creatorcontrib>Tait, Regan S.</creatorcontrib><creatorcontrib>Main, Luana C.</creatorcontrib><title>Impact of shift work on sleep and fatigue in Maritime pilots</title><title>Ergonomics</title><addtitle>Ergonomics</addtitle><description>This study examined how objective measures of sleep change across shift-cycles, and the impact of this on sleep quality and fatigue. Forty maritime pilots were recruited from Australian ports. Sleep wake-behaviour (timing and length), and self-reported sleep quality and fatigue, were assessed to determine any impact of roster status and 'on-call' status. On-roster pilots experienced reduced night time sleep duration compared to those off-roster (57 ± 8.8 min), while working on-call also diminished night time sleep duration (126 ± 11.3 min) and quality, compared to workers not on-call. Fatigue scores indicated that participants were not fully recovered prior to commencing rostered night shift, while sleep quality was significantly worse following sleep that occurred after a night shift, compared to after a day shift. These findings potentially support workplace negotiations to change future shift cycles, and to adopt monitoring systems that may mitigate the risk of fatigue-related accidents and chronic health outcomes. Practitioner summary: Long and irregular work hours of maritime pilotage can compromise worker performance and safety. This observational study found that on-roster pilots experience reduced sleep duration compared to those off-roster, while working on-call further diminishes sleep duration and quality. Future workload/fatigue monitoring systems may mitigate fatigue-related accidents and adverse chronic health outcomes.
Abbreviations: ANOVA: analysis of variance; ANCOVA: analysis of covariance; BMI: body mass index; CVD: cardiovascular disease; h: hours; mins: minutes; SE: standard error of the mean; SD: standard deviation; SO: sleep opportunities; TST: total sleep time; WASO: wake after sleep onset</description><subject>Abbreviations</subject><subject>Accidents</subject><subject>actigraphy</subject><subject>Analysis of covariance</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Cardiovascular diseases</subject><subject>Fatigue</subject><subject>Heart diseases</subject><subject>Maritime</subject><subject>Monitoring systems</subject><subject>Negotiations</subject><subject>Night shifts</subject><subject>Nighttime</subject><subject>Observational studies</subject><subject>on-call</subject><subject>Pilotage</subject><subject>Quality assessment</subject><subject>shift cycle</subject><subject>Shift work</subject><subject>Sleep</subject><subject>Sleep and wakefulness</subject><subject>Sleep deprivation</subject><subject>sleep disruption</subject><subject>Space life sciences</subject><subject>Standard error</subject><subject>Variance analysis</subject><subject>Working conditions</subject><subject>Workload</subject><issn>0014-0139</issn><issn>1366-5847</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LwzAYx4Mobk4_ghLw4qUzr00LHpThy2DiRc8hbRPNbJuapMi-vS3bPHjw9PDA7_-8_AA4x2iOUYauEcIMYZrPCSJ4jrOMCMQPwBTTNE14xsQhmI5MMkITcBLCemgpzskxmFDKCRUpmYKbZdOpMkJnYPiwJsJv5z-ha2Gote6gaitoVLTvvYa2hc_K22gbDTtbuxhOwZFRddBnuzoDbw_3r4unZPXyuFzcrZKSpSgmeYaLVFRlTkuaC01YynFVaEVSjUmpGGeowpkRKmeG8sqQ1FCisgIZzHJBGZ2Bq-3czruvXocoGxtKXdeq1a4PkrCM8-E3jgb08g-6dr1vh-sk4YwJjIngA8W3VOldCF4b2XnbKL-RGMlRr9zrlaNeudM75C520_ui0dVvau9zAG63gG2N840abNaVjGpTO2-8aksbJP1_xw_7S4Zj</recordid><startdate>20210703</startdate><enddate>20210703</enddate><creator>Tait, Jamie L.</creator><creator>Chambers, Timothy P.</creator><creator>Tait, Regan S.</creator><creator>Main, Luana C.</creator><general>Taylor & Francis</general><general>Taylor & Francis LLC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T2</scope><scope>7TA</scope><scope>7TB</scope><scope>7TS</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5792-9430</orcidid><orcidid>https://orcid.org/0000-0002-9576-9466</orcidid><orcidid>https://orcid.org/0000-0002-2173-8907</orcidid></search><sort><creationdate>20210703</creationdate><title>Impact of shift work on sleep and fatigue in Maritime pilots</title><author>Tait, Jamie L. ; Chambers, Timothy P. ; Tait, Regan S. ; Main, Luana C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c460t-981b67dc93c397e24651dbea26e12ca4540d18f7a94f35df26f32a8b0f1497343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Abbreviations</topic><topic>Accidents</topic><topic>actigraphy</topic><topic>Analysis of covariance</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Cardiovascular diseases</topic><topic>Fatigue</topic><topic>Heart diseases</topic><topic>Maritime</topic><topic>Monitoring systems</topic><topic>Negotiations</topic><topic>Night shifts</topic><topic>Nighttime</topic><topic>Observational studies</topic><topic>on-call</topic><topic>Pilotage</topic><topic>Quality assessment</topic><topic>shift cycle</topic><topic>Shift work</topic><topic>Sleep</topic><topic>Sleep and wakefulness</topic><topic>Sleep deprivation</topic><topic>sleep disruption</topic><topic>Space life sciences</topic><topic>Standard error</topic><topic>Variance analysis</topic><topic>Working conditions</topic><topic>Workload</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tait, Jamie L.</creatorcontrib><creatorcontrib>Chambers, Timothy P.</creatorcontrib><creatorcontrib>Tait, Regan S.</creatorcontrib><creatorcontrib>Main, Luana C.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Physical Education Index</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Ergonomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tait, Jamie L.</au><au>Chambers, Timothy P.</au><au>Tait, Regan S.</au><au>Main, Luana C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of shift work on sleep and fatigue in Maritime pilots</atitle><jtitle>Ergonomics</jtitle><addtitle>Ergonomics</addtitle><date>2021-07-03</date><risdate>2021</risdate><volume>64</volume><issue>7</issue><spage>856</spage><epage>868</epage><pages>856-868</pages><issn>0014-0139</issn><eissn>1366-5847</eissn><abstract>This study examined how objective measures of sleep change across shift-cycles, and the impact of this on sleep quality and fatigue. Forty maritime pilots were recruited from Australian ports. Sleep wake-behaviour (timing and length), and self-reported sleep quality and fatigue, were assessed to determine any impact of roster status and 'on-call' status. On-roster pilots experienced reduced night time sleep duration compared to those off-roster (57 ± 8.8 min), while working on-call also diminished night time sleep duration (126 ± 11.3 min) and quality, compared to workers not on-call. Fatigue scores indicated that participants were not fully recovered prior to commencing rostered night shift, while sleep quality was significantly worse following sleep that occurred after a night shift, compared to after a day shift. These findings potentially support workplace negotiations to change future shift cycles, and to adopt monitoring systems that may mitigate the risk of fatigue-related accidents and chronic health outcomes. Practitioner summary: Long and irregular work hours of maritime pilotage can compromise worker performance and safety. This observational study found that on-roster pilots experience reduced sleep duration compared to those off-roster, while working on-call further diminishes sleep duration and quality. Future workload/fatigue monitoring systems may mitigate fatigue-related accidents and adverse chronic health outcomes.
Abbreviations: ANOVA: analysis of variance; ANCOVA: analysis of covariance; BMI: body mass index; CVD: cardiovascular disease; h: hours; mins: minutes; SE: standard error of the mean; SD: standard deviation; SO: sleep opportunities; TST: total sleep time; WASO: wake after sleep onset</abstract><cop>England</cop><pub>Taylor & Francis</pub><pmid>33523762</pmid><doi>10.1080/00140139.2021.1882705</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-5792-9430</orcidid><orcidid>https://orcid.org/0000-0002-9576-9466</orcidid><orcidid>https://orcid.org/0000-0002-2173-8907</orcidid></addata></record> |
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| ispartof | Ergonomics, 2021-07, Vol.64 (7), p.856-868 |
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| language | eng |
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| subjects | Abbreviations Accidents actigraphy Analysis of covariance Body mass index Body size Cardiovascular diseases Fatigue Heart diseases Maritime Monitoring systems Negotiations Night shifts Nighttime Observational studies on-call Pilotage Quality assessment shift cycle Shift work Sleep Sleep and wakefulness Sleep deprivation sleep disruption Space life sciences Standard error Variance analysis Working conditions Workload |
| title | Impact of shift work on sleep and fatigue in Maritime pilots |
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