Evidence map›Paper›PMID 35484592›Full record

ArticleBMC public health2022

Work-related stress and future sick leave in a working population seeking care at primary health care centres: a prospective longitudinal study using the WSQ.

Anna-Maria Hultén, Pernilla Bjerkeli, Kristina Holmgren

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02480855 (Early Identification of People at Risk for Sick-leave Due to Work-related Stress - A Randomized Controlled Study of People With Mental Disorders and Physical Complaints Consulting Primary Health Care), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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.

NCT02480855 nacompletednot on this map

Early Identification of People at Risk for Sick-leave Due to Work-related Stress - A Randomized Controlled Study of People With Mental Disorders and Physical Complaints Consulting Primary Health Care

TypeinterventionalSponsorGöteborg UniversityRan2015 to 2017Enrolled271ConditionsOccupation-related Stress DisorderArmsQuestionnaire and feedback
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 23 citations in OpenAlex.

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  6. Photo-supported conversations about well-being (BeWellScandinavian journal of primary health care · 2025
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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

3 authors at 2 institutions in 1 country.

Anna-Maria HulténUnit of Occupational Therapy, Department of Health and Rehabilitation, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. anna-maria.hulten@gu.se.
Pernilla BjerkeliDepartment for Public Health Research, University of Skövde, Box 408, 541 28, Skövde, Sweden.
Kristina HolmgrenUnit of Occupational Therapy, Department of Health and Rehabilitation, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
University of Gothenburg · SEUniversity of Skövde · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudying the relationship between work-related stress and sick leave is valuable in identifying and assessing employees at risk of sick leave, but also in developing interventions and taking actions for workers' health. The overall aim of this study was to analyse the association between work-related stress, measured with the work stress questionnaire (WSQ), and registered sick leave in a working population seeking care at primary health care centres in Sweden.

methodsA prospective longitudinal study was performed with 232 employed patients aged 18-64 years seeking care for mental and/or physical health complaints at seven primary health care centres. Bivariate logistic regression analysis adjusted for educational level, occupational class and marital status was performed using questionnaire data on work-related stress and sociodemographic factors collected between May 2015 until January 2016 together with registered sick leave data from a national database.

resultsHigh stress due to indistinct organization and conflicts was reported by 21% (n = 49), while 45% (n = 105) reported high stress due to individual demands and commitment. Thirty-six percent were on sick leave for 15 days or more during 12 months after baseline. The odds of being on registered sick leave during this period was approximately twice as high for patients perceiving high stress due to indistinct organization and conflicts (OR 2.25, 95% CI 1.18;4.26), high stress due to individual demands and commitment (OR 2.21, 95% CI 1.28;3.82), low influence at work (OR 2.07, 95% CI 1.20;3.57), or high interference between work and leisure time (OR 2.19, 95% CI 1.27;3.80). Perceiving high stress due to both indistinct organization and conflicts as well as individual demands and commitment quadrupled the odds of sick leave, OR 4.15 (95% CI 1.84; 9.38).

conclusionsWork-related stress and sick leave were prevalent among the patients. Perceiving one or more of the work-related stressors and stress increased the odds of registered sick leave between two to four times. Hence, to capture the dynamic interaction between the individual and the work environment, a wide spectrum of factors must be considered. In addition, primary health care could be a suitable arena for preventing sick leave due to work-related stress.

trial registrationClinicalTrials.gov. Identifier: NCT02480855 . Registered 20 May 2015.

Indexed as

Occupational StressSick LeaveHumansLongitudinal StudiesPrimary Health CareProspective StudiesSurveys and QuestionnairesOrganisational climatePrimary health carePsychosocial risk factorsSickness absenceWork commitmentWorkers’ healthWork Stress Questionnaire (WSQ)

Identifiers

PMID35484592
PMCPMC9047382
OpenAlexW4224985636

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.