Evidence map›Paper›PMID 31887201›Full record

ArticlePloS one2019

Who reported having a high-strain job, low-strain job, active job and passive job? The WIRUS Screening study.

Tore Bonsaksen, Mikkel Magnus Thørrisen, Jens Christoffer Skogen, Randi Wågø Aas

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  16. Are Demanding Job Situations Associated with Alcohol-Related Presenteeism? The WIRUS-Screening Study.International journal of environmental research and public health · 2021
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  17. Job Stress and Mental Well-Being among Working Men and Women in Europe: The Mediating Role of Social Support.International journal of environmental research and public health · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Tore BonsaksenDepartment of Occupational Therapy, Prosthetics and Orthotics, Faculty of Health Sciences, OsloMet-Oslo Metropolitan University, Oslo, Norway.ORCID 0000-0001-6315-1111
Mikkel Magnus ThørrisenDepartment of Occupational Therapy, Prosthetics and Orthotics, Faculty of Health Sciences, OsloMet-Oslo Metropolitan University, Oslo, Norway.
Jens Christoffer SkogenFaculty of Health Sciences, University of Stavanger, Stavanger, Norway.
Randi Wågø AasDepartment of Occupational Therapy, Prosthetics and Orthotics, Faculty of Health Sciences, OsloMet-Oslo Metropolitan University, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe 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.

methodsThe 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.

resultsIn 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.

conclusionsThe 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.

Indexed as

AdolescentAdultAgedAge FactorsCross-Sectional StudiesEducational StatusFemaleHumansMaleMiddle AgedNorwayOccupational DiseasesOccupational StressOccupationsSex FactorsSurveys and Questionnaires

Identifiers

PMID31887201
PMCPMC6936855

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.