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Social jetlag, a novel predictor for high cardiovascular risk in blue-collar workers following permanent atypical work schedules

2021-05-04Journal article Open access
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dc.contributor.authorMadeira, Sara Gamboa
dc.contributor.authorReis, Cátia
dc.contributor.authorPaiva, Teresa
dc.contributor.authorMoreira, Carlos Santos
dc.contributor.authorNogueira, Paulo
dc.contributor.authorRoenneberg, Till
dc.date.accessioned2021-05-10T08:21:07Z
dc.date.available2021-05-10T08:21:07Z
dc.date.issued2021-05-04
dc.description.abstractCardiovascular diseases cause >4 million deaths each year in Europe alone. Preventive approaches that do not only consider individual risk factors but their interaction, such as the Systematic COronary Risk Evaluation (SCORE), are recommended by European guidelines. Increased cardiovascular risk is associated with shift-work, surely interacting with the concurrent conditions: disruption of sleep, unhealthy behaviours, and circadian misalignment. Social jetlag (SJL) has been proposed as a way to quantify circadian misalignment. We therefore investigated the association between SJL and cardiovascular health in a cross-sectional observational study involving blue-collar workers, who either worked permanent morning, evening, or night shifts. Sociodemographic, health and productivity data were collected through questionnaires. Blood pressure and cholesterol were measured and the cardiovascular risk was estimated according to the relative risk SCORE chart. Bivariate analysis was performed according to the cardiovascular risk and the relationship between SJL and high cardiovascular risk was analysed through logistic regression. Cumulative models were performed, adjusted for various confounding factors. After 49 exclusions, the final sample comprised 301 workers (56% males; aged <40 years, 73%). Mean standard deviation (SD) SJL was 1:57 (1:38) hr (59.4% ≤2 hr). Cardiovascular risk was high in 20% of the sample. Multivariate analysis revealed SJL to be an independent risk factor for high cardiovascular risk. Each additional hour of SJL increased this risk by >30% (odds ratio 1.31, 95% confidence interval 1.02-1.68). This is the first study indicating that SJL potentially increases cardiovascular risk, and suggests that sleep and individual circadian qualities are critical in preventing negative health impacts of shift-work.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1111/jsr.13380pt_PT
dc.identifier.eid85105037659
dc.identifier.issn0962-1105
dc.identifier.pmcPMC9286443
dc.identifier.pmid33942925
dc.identifier.urihttp://hdl.handle.net/10400.14/32945
dc.identifier.wos000646649600001
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCircadian misalignmentpt_PT
dc.subjectMCTQpt_PT
dc.subjectSCOREpt_PT
dc.subjectShift-workpt_PT
dc.titleSocial jetlag, a novel predictor for high cardiovascular risk in blue-collar workers following permanent atypical work schedulespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleJournal of Sleep Researchpt_PT
person.familyNameGamboa Madeira
person.familyNameReis
person.familyNamePaiva
person.familyNameSantos Moreira
person.familyNameNogueira
person.familyNameRoenneberg
person.givenNameSara
person.givenNameCátia
person.givenNameMaria Teresa Aguiar dos Santos
person.givenNameCarlos
person.givenNamePaulo Jorge
person.givenNameTill
person.identifier988383
person.identifier1013768
person.identifier.ciencia-idD617-DADD-EDB9
person.identifier.ciencia-idC817-4B30-902F
person.identifier.ciencia-id7B10-224A-DB1D
person.identifier.ciencia-idD01C-A3D1-B032
person.identifier.ciencia-id2410-2DCC-F213
person.identifier.ciencia-id3818-3504-8024
person.identifier.orcid0000-0003-0764-571X
person.identifier.orcid0000-0001-6585-3993
person.identifier.orcid0000-0002-7937-7841
person.identifier.orcid0000-0003-1816-9579
person.identifier.orcid0000-0001-8316-5035
person.identifier.orcid0000-0003-2939-0332
person.identifier.ridAAR-5605-2020
person.identifier.scopus-author-id55821577400
person.identifier.scopus-author-id7005950248
person.identifier.scopus-author-id7005428250
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscovery77051bb8-4daa-4e37-8bf0-8e74d2b0e527

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