Identification of predictors of shift work adaptation and its association with immune, hormonal and metabolite biomarkers

Mostra el registre complet Registre parcial de l'ítem

• dc.contributor.author Harding, Barbara N.
• dc.contributor.author Espinosa Díaz, Ana
• dc.contributor.author Castano-Vinyals, Gemma
• dc.contributor.author Pozo Mendoza, Óscar J., 1975-
• dc.contributor.author Skene, Debra J.
• dc.contributor.author Bustamante Pineda, Mariona
• dc.contributor.author Mata, Maria
• dc.contributor.author Aguilar, Ruth
• dc.contributor.author Dobaño, Carlota
• dc.contributor.author Wucher, Valentin
• dc.contributor.author Navarrete, José María
• dc.contributor.author Such Faro, Patricia
• dc.contributor.author Torrejón, Antonio
• dc.contributor.author Kogevinas, Manolis
• dc.contributor.author Papantoniou, Kyriaki, 1983-
• dc.date.accessioned 2025-02-06T07:59:29Z
• dc.date.available 2025-02-06T07:59:29Z
• dc.date.issued 2024
• dc.description.abstract We explored predictors of shift work adaptation and how it relates to disease risk biomarker levels. These analyses included 38 male, rotating shift workers, sampled twice at the end of a 3-week night shift and a 3-week day shift rotation. Participants collected all 24-h urine voids, wore activity sensors, and responded to questionnaires during each shift. Using cosinor analysis, we derived the main period of urinary 6-sulfatoxymelatonin (aMT6s) production. Adaptation was defined as the overlap between the main aMT6s production period and sleep period assessed with actigraphy. We used linear models to identify predictors of adaptation to each shift and assessed associations between adaptation profiles and hormone, cytokine, and metabolite biomarker levels. The median duration of overlap (adaptation) was 3.85 h (IQR 2.59-5.03) in the night and 2.98 (IQR 2.17-4.11) in the day shift. In the night shift, a later chronotype (coeff: -1.16, 95% CI -1.87, -0.45) and increased light at night (coeff: -0.97, 95% CI -1.76, -0.18) were associated with poorer adaptation, while longer sleep duration was associated with better adaptation (coeff: 0.46, 95% CI 0.04, 0.88). In the day shift, later sleep onset was associated with worse adaptation (coeff: -0.06, 95% CI -0.12, -0.01), while longer sleep duration was associated with better adaptation (coeff: 0.54, 0.26, 0.81). Results suggest higher androgen and inflammatory marker levels and lower levels of several metabolite markers among less adapted individuals. Chronotype, sleep, and light at night were all associated with night or day shift adaptation. Given the small sample size, results should be viewed as exploratory, but may inform interventions to optimize adaptation of rotating shift workers.
• dc.description.sponsorship The authors thank Emilia Molinero, Mayte Martín Bustamante, and Elena Juanola Pages from the Generalitat de Catalunya for all of their support in planning this study. The authors also thank the study participants for their important contributions. The study was partially funded by the Instituto de Salud Carlos III-FEDER (PI14/00444). The Spanish Health National system is acknowledged for the support of Oscar J. Pozo (CPII16/00027). ISGlobal acknowledges support from the Spanish Ministry of Science and Innovation through the “Centro de Excelencia Severo Ochoa 2019–2023” Program (CEX2018-000806-S) and support from the Generalitat de Catalunya through the CERCA Program. Barbara N. Harding has received funding from the Instituto de Salud Carlos III (ISCIII) and the European Union NextGenerationEU/PRTR (Grant IHMC22/00017).
• dc.format.mimetype application/pdf
• dc.identifier.citation Harding BN, Espinosa A, Castaño-Vinyals G, Pozo OJ, Skene DJ, Bustamante M, et al. Identification of predictors of shift work adaptation and its association with immune, hormonal and metabolite biomarkers. J Pineal Res. 2024 Nov;76(8):e70017. DOI: 10.1111/jpi.70017
• dc.identifier.doi http://dx.doi.org/10.1111/jpi.70017
• dc.identifier.issn 0742-3098
• dc.identifier.uri http://hdl.handle.net/10230/69506
• dc.language.iso eng
• dc.publisher Wiley
• dc.relation.ispartof J Pineal Res. 2024 Nov;76(8):e70017
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/CEX2018-000806-S
• dc.rights © 2024 The Author(s). Journal of Pineal Research published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword aMT6s
• dc.subject.keyword Adaptation
• dc.subject.keyword Biomarkers
• dc.subject.keyword Melatonin
• dc.subject.keyword Night shift work
• dc.subject.keyword Rotating shift work
• dc.subject.keyword Sleep
• dc.title Identification of predictors of shift work adaptation and its association with immune, hormonal and metabolite biomarkers
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion