Social jetlag, a novel predictor for high cardiovascular risk in blue-collar workers following permanent atypical work schedules
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
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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7160 |
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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:RCAAP2024-03-11T05:01:49Zoai:run.unl.pt:10362/119314Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:44:01.424211Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
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 |
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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 |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799138048572653568 |