Please use this identifier to cite or link to this item:
https://ahro.austin.org.au/austinjspui/handle/1/35427
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Quan, Stuart F | - |
dc.contributor.author | Weaver, Matthew D | - |
dc.contributor.author | Czeisler, Mark É | - |
dc.contributor.author | Barger, Laura K | - |
dc.contributor.author | Booker, Lauren A | - |
dc.contributor.author | Howard, Mark E | - |
dc.contributor.author | Jackson, Melinda L | - |
dc.contributor.author | Lane, Rashon I | - |
dc.contributor.author | McDonald, Christine F | - |
dc.contributor.author | Ridgers, Anna | - |
dc.contributor.author | Robbins, Rebecca | - |
dc.contributor.author | Varma, Prerna | - |
dc.contributor.author | Rajaratnam, Shantha M W | - |
dc.contributor.author | Czeisler, Charles A | - |
dc.date | 2024 | - |
dc.date.accessioned | 2024-09-10T01:29:34Z | - |
dc.date.available | 2024-09-10T01:29:34Z | - |
dc.date.issued | 2024-07-01 | - |
dc.identifier.citation | Journal of Occupational and Environmental Medicine 2024-07-01; 66(7) | en_US |
dc.identifier.issn | 1536-5948 | - |
dc.identifier.uri | https://ahro.austin.org.au/austinjspui/handle/1/35427 | - |
dc.description.abstract | This study assesses whether chronotype is related to COVID-19 infection and whether there is an interaction with shift work. Methods: This study used a cross-sectional survey of 19,821 U.S. adults. Results: COVID-19 infection occurred in 40% of participants, 32.6% morning and 17.2% evening chronotypes. After adjusting for demographic and socioeconomic factors, shift/remote work, sleep duration, and comorbidities, morning chronotype was associated with a higher (adjusted odds ratio [aOR]: 1.15, 95% CI: 1.10-1.21) and evening chronotype with a lower (aOR: 0.82, 95% CI: 0.78-0.87) prevalence of COVID-19 infection in comparison to an intermediate chronotype. Working exclusively night shifts was not associated with higher prevalence of COVID-19. Morning chronotype and working some evening shifts was associated with the highest prevalence of previous COVID-19 infection (aOR: 1.87, 95% CI: 1.28-2.74). Conclusion: Morning chronotype and working a mixture of shifts increase risk of COVID-19 infection. | en_US |
dc.language.iso | eng | - |
dc.title | Association of Chronotype and Shiftwork With COVID-19 Infection. | en_US |
dc.type | Journal Article | en_US |
dc.identifier.journaltitle | Journal of Occupational and Environmental Medicine | en_US |
dc.identifier.affiliation | From the Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts. | en_US |
dc.identifier.affiliation | Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts | en_US |
dc.identifier.affiliation | Francis Weld Peabody Society, Harvard Medical School, Boston, Massachusetts | en_US |
dc.identifier.affiliation | School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia | en_US |
dc.identifier.affiliation | Institute for Breathing and Sleep | en_US |
dc.identifier.affiliation | University Department of Rural Health, La Trobe Rural Health School, La Trobe University, Bendigo, Australia (L.A.B.); Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia. | en_US |
dc.identifier.affiliation | Faculty of Medicine, Monash University, Melbourne, Australia. | en_US |
dc.identifier.affiliation | Respiratory and Sleep Medicine | en_US |
dc.identifier.doi | 10.1097/JOM.0000000000003103 | en_US |
dc.type.content | Text | en_US |
dc.identifier.orcid | 0000-0002-9474-7679 | en_US |
dc.identifier.orcid | 0000-0003-3578-336 | en_US |
dc.identifier.orcid | 0000-0003-3100-7347 | en_US |
dc.identifier.orcid | 0000-0001-8547-7331 | en_US |
dc.identifier.orcid | 0000-0002-0533-3715 | en_US |
dc.identifier.orcid | 0000-0001-7772-1496 | en_US |
dc.identifier.orcid | 0000-0003-4976-8101 | en_US |
dc.identifier.orcid | 0000-0002-0612-1466 | en_US |
dc.identifier.orcid | 0000-0001-6481-3391 | en_US |
dc.identifier.orcid | 0000-0003-1360-9387 | en_US |
dc.identifier.orcid | 0000-0003-0288-2505 | en_US |
dc.identifier.orcid | 0000-0001-5408-1625 | en_US |
dc.identifier.orcid | 0000-0001-7527-8558 | en_US |
dc.identifier.orcid | 0000-0002-7408-1849 | en_US |
dc.identifier.pubmedid | 38595269 | - |
dc.description.volume | 66 | - |
dc.description.issue | 7 | - |
dc.description.startpage | 548 | - |
dc.description.endpage | 555 | - |
dc.subject.meshtermssecondary | COVID-19/epidemiology | - |
dc.subject.meshtermssecondary | Shift Work Schedule/statistics & numerical data | - |
dc.subject.meshtermssecondary | United States/epidemiology | - |
dc.subject.meshtermssecondary | Work Schedule Tolerance/physiology | - |
item.grantfulltext | none | - |
item.openairetype | Journal Article | - |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Institute for Breathing and Sleep | - |
crisitem.author.dept | Institute for Breathing and Sleep | - |
crisitem.author.dept | Institute for Breathing and Sleep | - |
crisitem.author.dept | Institute for Breathing and Sleep | - |
crisitem.author.dept | Respiratory and Sleep Medicine | - |
Appears in Collections: | Journal articles |
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