Evidence map›Paper›PMID 25268276›Full record

ArticlePloS one2014

Evaluation of the validity of job exposure matrix for psychosocial factors at work.

Svetlana Solovieva, Tiina Pensola, Johanna Kausto, Rahman Shiri, Markku Heliövaara, Alex Burdorf, Kirsti Husgafvel-Pursiainen, Eira Viikari-Juntura

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–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

32 citing papers in PubMed.

  1. Article
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  4. Employment Responses to a Partner's Disability Onset ("Care Shocks"): Do Working Conditions Matter?The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
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  13. Article
  14. Review
  15. Article
  16. Occupational Exposures Associated with Life Expectancy without and with Disability.International journal of environmental research and public health · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

8 authors.

Svetlana SolovievaCentre of Expertise for Health and Work Ability, Finnish Institute of Occupational Health, Helsinki, Finland; Disability Prevention Centre, Finnish Institute of Occupational Health, Helsinki, Finland.
Tiina PensolaCentre of Expertise for Health and Work Ability, Finnish Institute of Occupational Health, Helsinki, Finland.
Johanna KaustoCentre of Expertise for Health and Work Ability, Finnish Institute of Occupational Health, Helsinki, Finland; Disability Prevention Centre, Finnish Institute of Occupational Health, Helsinki, Finland.
Rahman ShiriCentre of Expertise for Health and Work Ability, Finnish Institute of Occupational Health, Helsinki, Finland; Disability Prevention Centre, Finnish Institute of Occupational Health, Helsinki, Finland.
Markku HeliövaaraNational Institute for Health and Welfare, Helsinki, Finland.
Alex BurdorfErasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Kirsti Husgafvel-PursiainenCentre of Expertise for Health and Work Ability, Finnish Institute of Occupational Health, Helsinki, Finland; Disability Prevention Centre, Finnish Institute of Occupational Health, Helsinki, Finland.
Eira Viikari-JunturaDisability Prevention Centre, Finnish Institute of Occupational Health, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study the performance of a developed job exposure matrix (JEM) for the assessment of psychosocial factors at work in terms of accuracy, possible misclassification bias and predictive ability to detect known associations with depression and low back pain (LBP). MATERIALS AND

methodsWe utilized two large population surveys (the Health 2000 Study and the Finnish Work and Health Surveys), one to construct the JEM and another to test matrix performance. In the first study, information on job demands, job control, monotonous work and social support at work was collected via face-to-face interviews. Job strain was operationalized based on job demands and job control using quadrant approach. In the second study, the sensitivity and specificity were estimated applying a Bayesian approach. The magnitude of misclassification error was examined by calculating the biased odds ratios as a function of the sensitivity and specificity of the JEM and fixed true prevalence and odds ratios. Finally, we adjusted for misclassification error the observed associations between JEM measures and selected health outcomes.

resultsThe matrix showed a good accuracy for job control and job strain, while its performance for other exposures was relatively low. Without correction for exposure misclassification, the JEM was able to detect the association between job strain and depression in men and between monotonous work and LBP in both genders.

conclusionsOur results suggest that JEM more accurately identifies occupations with low control and high strain than those with high demands or low social support. Overall, the present JEM is a useful source of job-level psychosocial exposures in epidemiological studies lacking individual-level exposure information. Furthermore, we showed the applicability of a Bayesian approach in the evaluation of the performance of the JEM in a situation where, in practice, no gold standard of exposure assessment exists.

Indexed as

AdolescentAdultBayes TheoremDepressionFactor Analysis, StatisticalFemaleFinlandHealth SurveysHumansLow Back PainMaleMiddle AgedOccupational DiseasesOccupational ExposureOccupationsPrevalence

Identifiers

PMID25268276
PMCPMC4182611

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Registered trials

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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.