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

Detalhes bibliográficos
Autor(a) principal: Gamboa Madeira, Sara
Data de Publicação: 2021
Outros Autores: Reis, Cátia, Paiva, Teresa, Moreira, Carlos Santos, Nogueira, Paulo, Roenneberg, Till
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/119314
Resumo: Funding: The authors would like to thank all the participants as well as their managers and staff from the human resources of the Lisbon logistic platform of Jerónimo Martins, SA for the logistical framework. This work was supported by the PhD research Grant PDE/ BDE/127787/2016 from Fundação para a Ciência e Tecnologia/ Fundo Social Europeu.
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spelling Social jetlag, a novel predictor for high cardiovascular risk in blue-collar workers following permanent atypical work schedulescircadian misalignmentMCTQSCOREshift-workCognitive NeuroscienceBehavioral NeuroscienceSDG 3 - Good Health and Well-beingFunding: The authors would like to thank all the participants as well as their managers and staff from the human resources of the Lisbon logistic platform of Jerónimo Martins, SA for the logistical framework. This work was supported by the PhD research Grant PDE/ BDE/127787/2016 from Fundação para a Ciência e Tecnologia/ Fundo Social Europeu.Cardiovascular 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.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)Comprehensive Health Research Centre (CHRC) - pólo NMSRUNGamboa Madeira, SaraReis, CátiaPaiva, TeresaMoreira, Carlos SantosNogueira, PauloRoenneberg, Till2021-06-15T22:21:06Z2021-05-042021-05-04T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/119314eng0962-1105PURE: 29762047https://doi.org/10.1111/jsr.13380info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-10T16:00:55ZPortal AgregadorONG
dc.title.none.fl_str_mv Social jetlag, a novel predictor for high cardiovascular risk in blue-collar workers following permanent atypical work schedules
title Social jetlag, a novel predictor for high cardiovascular risk in blue-collar workers following permanent atypical work schedules
spellingShingle Social jetlag, a novel predictor for high cardiovascular risk in blue-collar workers following permanent atypical work schedules
Gamboa Madeira, Sara
circadian misalignment
MCTQ
SCORE
shift-work
Cognitive Neuroscience
Behavioral Neuroscience
SDG 3 - Good Health and Well-being
title_short Social jetlag, a novel predictor for high cardiovascular risk in blue-collar workers following permanent atypical work schedules
title_full Social jetlag, a novel predictor for high cardiovascular risk in blue-collar workers following permanent atypical work schedules
title_fullStr Social jetlag, a novel predictor for high cardiovascular risk in blue-collar workers following permanent atypical work schedules
title_full_unstemmed Social jetlag, a novel predictor for high cardiovascular risk in blue-collar workers following permanent atypical work schedules
title_sort Social jetlag, a novel predictor for high cardiovascular risk in blue-collar workers following permanent atypical work schedules
author Gamboa Madeira, Sara
author_facet Gamboa Madeira, Sara
Reis, Cátia
Paiva, Teresa
Moreira, Carlos Santos
Nogueira, Paulo
Roenneberg, Till
author_role author
author2 Reis, Cátia
Paiva, Teresa
Moreira, Carlos Santos
Nogueira, Paulo
Roenneberg, Till
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
Comprehensive Health Research Centre (CHRC) - pólo NMS
RUN
dc.contributor.author.fl_str_mv Gamboa Madeira, Sara
Reis, Cátia
Paiva, Teresa
Moreira, Carlos Santos
Nogueira, Paulo
Roenneberg, Till
dc.subject.por.fl_str_mv circadian misalignment
MCTQ
SCORE
shift-work
Cognitive Neuroscience
Behavioral Neuroscience
SDG 3 - Good Health and Well-being
topic circadian misalignment
MCTQ
SCORE
shift-work
Cognitive Neuroscience
Behavioral Neuroscience
SDG 3 - Good Health and Well-being
description Funding: The authors would like to thank all the participants as well as their managers and staff from the human resources of the Lisbon logistic platform of Jerónimo Martins, SA for the logistical framework. This work was supported by the PhD research Grant PDE/ BDE/127787/2016 from Fundação para a Ciência e Tecnologia/ Fundo Social Europeu.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-15T22:21:06Z
2021-05-04
2021-05-04T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/119314
url http://hdl.handle.net/10362/119314
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0962-1105
PURE: 29762047
https://doi.org/10.1111/jsr.13380
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv
repository.mail.fl_str_mv
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