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dc.contributor.authorBonsaksen, Tore
dc.contributor.authorThørrisen, Mikkel Magnus
dc.contributor.authorSkogen, Jens Christoffer
dc.contributor.authorAas, Randi Wågø
dc.date.accessioned2019-12-30T19:27:36Z
dc.date.accessioned2020-01-09T13:28:36Z
dc.date.available2019-12-30T19:27:36Z
dc.date.available2020-01-09T13:28:36Z
dc.date.issued2019-12-17
dc.identifier.citationBonsaksen T, Thørrisen M, Skogen JC, Aas RW. Who reported having a high-strain job, low strain job, active job and passive job? The WIRUS screening study. PLOS ONE. 2019;14(12):e0227336-e0227336en
dc.identifier.issn1932-6203
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/10642/7964
dc.description.abstractObjective. The Job Demands and Control model classifies job types as active, passive, low-strain or high-strain, based on a combination of job demands and control. While studies have shown high-strain jobs to have adverse consequences for health and work participation, prognostic factors for the four job types have been less explored. The aim of this study was to assess the associations between sociodemographic factors and job descriptors and being in high-strain, low-strain, active and passive jobs. Methods. The WIRUS Screening study targeted Norwegian employees in private and public enterprises. In this study, associations with job types among 4,487 employees were investigated with binary logistic regression analyses, adjusting for sociodemographic and job-related variables. Results. In fully adjusted models, high-strain job was associated with female gender; lower education; shift work; and doing work outside the workplace. Low-strain job was associated with opposite scores on the same variables, and with lower job position. Active job was associated with lower age; female gender; higher levels of education; higher job position level; shift work; and not doing work outside the workplace. Passive job was associated with opposite scores on the same variables. Conclusions. The study corroborates the role gender and education have for experiencing the job, and expands on existing knowledge on the role of job position and irregular working hours and spaces. By identifying factors associated with job types, the prevention of health problems and work disability may become be more targeted.en
dc.description.sponsorshipThe Norwegian Directorate of Health and the Research Council of Norway funded the study.en
dc.language.isoenen
dc.publisherPublic Library of Scienceen
dc.relation.ispartofseriesPLoS ONE;14(12): e0227336
dc.rights© 2019 Bonsaksen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectHigh strain jobsen
dc.subjectLow strain jobsen
dc.subjectActive jobsen
dc.subjectPassive jobsen
dc.subjectSociodemographic factorsen
dc.subjectJob descriptorsen
dc.titleWho reported having a high-strain job, low strain job, active job and passive job? The WIRUS screening studyen
dc.typeJournal articleen
dc.typePeer revieweden
dc.date.updated2019-12-30T19:27:36Z
dc.description.versionpublishedVersionen
dc.identifier.doihttps://dx.doi.org/10.1371/journal.pone.0227336
dc.identifier.cristin1762700
dc.source.journalPLOS ONE


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© 2019 Bonsaksen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Med mindre annet er angitt, så er denne innførselen lisensiert som © 2019 Bonsaksen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.