Evidence map›Paper›PMID 30729316›Full record

ArticleInternational archives of occupational and environmental health2019

Common mental disorders through the eyes of German employees: attributed relevance of work-related causes and prevention measures assessed by a standardised survey.

Stephanie Burgess, Florian Junne, Eva Rothermund, Stephan Zipfel, Harald Gündel, Monika A Rieger, Martina Michaelis

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Article in International archives of occupational and environmental health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Stephanie BurgessInstitute of Occupational and Social Medicine and Health Services Research, University Hospital Tübingen, Wilhelmstraße 27, 72074, Tübingen, Germany. stephanie.burgess@med.uni-tuebingen.de.ORCID 0000-0002-5264-4022
Florian JunneDepartment of Psychosomatic Medicine and Psychotherapy, University Hospital Tübingen, Tübingen, Germany.
Eva RothermundUniversity Hospital for Psychosomatic Medicine and Psychotherapy, Ulm, Germany.
Stephan ZipfelDepartment of Psychosomatic Medicine and Psychotherapy, University Hospital Tübingen, Tübingen, Germany.
Harald GündelUniversity Hospital for Psychosomatic Medicine and Psychotherapy, Ulm, Germany.
Monika A RiegerInstitute of Occupational and Social Medicine and Health Services Research, University Hospital Tübingen, Wilhelmstraße 27, 72074, Tübingen, Germany.
Martina MichaelisInstitute of Occupational and Social Medicine and Health Services Research, University Hospital Tübingen, Wilhelmstraße 27, 72074, Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCommon mental disorders (CMDs) are becoming increasingly relevant in the working world. Numbers of risk factors have been confirmed by mostly correlative cross-sectional studies. Comprehensive and effective prevention is urgently needed. There is little knowledge about employees' own perceptions on causes of CMDs and prevention measures. Therefore, a survey was conducted in 2016.

methodsA standardised instrument was developed for an online survey in a commercial access panel, targeted employees in different job types. We assessed two outcomes: perceived relevance of (1) work-related demands to the development of CMDs, and (2) prevention approaches in the workplace and on individual and societal levels. Possible predictive aspects were analysed exploratively by multivariate linear regression analysis.

resultsThe response rate was 75% (n = 610). Job types were categorised as "blue", "grey" and "white-collar" workers (n = 193, 169, 248). The majority of respondents rated both outcomes consistently as "quite" or "very relevant"; societal prevention strategies were more relevant for non-white-collar workers. Perceived relevance of individual predisposition to develop a CMD was the strongest predictor for both outcomes, indicating the perception that people with higher personal vulnerability might suffer a higher strain from work-related risk factors than others.

conclusionWe assume that participants in our survey judged the relevance of work-related causes of CMDs independently of their own workload. The perceived relevance of prevention measures in different areas is consistent with official guidelines. A possible selection bias due to characteristics of access panel collectives and own direct or indirect experiences with CMD should be critically questioned.

Indexed as

AdolescentAdultAgedCausalityFemaleHumansMaleMental DisordersMiddle AgedOccupational StressSurveys and QuestionnairesWorkloadWorkplaceCommon mental disordersCross-sectional surveyEmployee perceptionsPrevention measuresWork-related risk factors

Identifiers

PMID30729316
PMCPMC6609828

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LicenceCC BY
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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.