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The mental health benefits of employment: Results of a systematic meta-review
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Objective: The literature on mental health in the workplace largely focuses on the negative impacts of work and how work may contribute to the development of mental disorders. The potential mental health benefits of employment have received less attention. Method: A systematic search of reviews or meta-analyses that consider the benefits of work in regards to mental health was undertaken using academic databases. All relevant reviews were subjected to a quality appraisal. Results: Eleven reviews were identified as meeting the inclusion criteria, with four deemed to be of at least moderate quality. The available evidence supports the proposition that work can be beneficial for an employee’s well-being, particularly if good-quality supervision is present and there are favourable workplace conditions. The benefits of work are most apparent when compared with the well-documented detrimental mental health effects of unemployment. Conclusions: The potential positive effects of good work and the role work can play in facilitating recovery from an illness and enhancing mental well-being need to be highlighted and promoted more widely. Future research should aim to further investigate what constitutes a ‘good’ workplace or a ‘good’ job in terms of mental health outcomes.
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“There are, however, economic challenges to implementation: savings from effective prevention may not accrue for many years, nor benefit the healthcare sector, creating resource disincentives to take action. 413,414”
From Time for united action on depression: a Lancet–World Psychiatric Association Commission (2022) · cites this paper as [413]
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Metadata
- Authors
- Modini, M., Joyce, S., Mykletun, A., Christensen, H., Bryant, R. A., Mitchell, P. B., & Harvey, S. B.
- Affiliations
- UNSW Sydney (AU)
- Norwegian Institute of Public Health (NO)
- Black Dog Institute (AU)
- Corresponding author
- Harvey, Samuel B
- ORCID
- Venue
- Australasian Psychiatry
- Publisher
- SAGE Publications
- Published
- 2016-07-10
- Volume
- 24
- Issue
- 4
- Pages
- 331-336
- ISSN
- 1039-8562 (ISSN-L)
- 1440-1665
- OpenAlex
- W2346365317
- Cited by
- 453
- References
- 24
- Citations by year
- 2026: 50 · 2025: 74 · 2024: 69 · 2023: 51 · 2022: 69 · 2021: 53 · 2020: 29 · 2019: 18 · 2018: 18 · 2017: 17 · 2016: 4
- FWCI
- 35.39
- Type
- journal article
- Language
- en
- Open access
- green
- handle.unsw.edu.au
- Licence
- Locations
- Australasian Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- UNSWorks (UNSW Sydney) (submittedVersion, cc-by-nc-nd)
- UNSWorks (University of New South Wales, Sydney, Australia) (submittedVersion, cc-by-nc-nd)
- Funders
- Beyond Blue
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Employment and Welfare Studies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Workplace Health and Well-being
- Social Sciences › Sociology and Political Science › Education and Work Dynamics
- Keywords
- employee well-being, good work, supervision, working conditions, unemployment, mental illness, recovery from illness, good jobs
- MeSH terms
- Mental Disorders, Employment, Humans, Mental Health, Organizational Innovation, Organizational Culture
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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