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. 2025 Mar;71(2):404-413.
doi: 10.1177/00207640241293351. Epub 2024 Nov 14.

Associations of non-employment with common mental disorder subcomponents among working age population: Analysis of national data from 1993, 2000, 2007 and 2014

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Associations of non-employment with common mental disorder subcomponents among working age population: Analysis of national data from 1993, 2000, 2007 and 2014

Gayan Perera et al. Int J Soc Psychiatry. 2025 Mar.

Abstract

Background: Associations between employment status and mental health are well-recognised and such associations may have multiple modifying factors which may also contribute to variations in results.

Aims: We aimed to investigate associations between non-employment and CMD subcomponents and the extent of their variation across age groups using nationally representative data in Britain.

Method: We used a series of national mental health surveys of adults living in private households: the British National Surveys of Psychiatric Morbidity of 1993, 2000, 2007 and 2014. Employment status was the primary exposure of interest. Presence or absence of each fourteen symptoms of common mental disorder (CMD), as the primary outcome, was ascertained identically in all surveys from the revised Clinical Interview Schedule (CIS-R). Odds ratio for the association between exposure and outcome and population attributional fractions (PAFs) for each association was calculated.

Results: Within the highest-risk 45 to 54 years age group, all odds ratios were statistically significant and strongest associations were observed with panic symptoms (OR = 2.33), followed by depressive symptoms (1.90), worry about physical health (1.84), depression (1.82), forgetfulness (1.82) and somatic symptoms (1.70). In the 55 to 64 years age group, highest population attributable fractions were observed for non-employment as a hypothetical risk factor for panic symptoms (51.7%), phobias (44.2%), forgetfulness (39.5%), depressive symptoms (38.5%), worries about physical health (37.9%) and somatic symptoms (36.0%).

Conclusions: The particularly high impact in middle-aged, pre-retirement groups of non-employment on CMD suggests a policy focus on alleviating stressors and providing support for those made redundant and/or compelled to take unwanted early retirement.

Keywords: British National Surveys of Psychiatric Morbidity; Employment status; common mental disorder; panic symptoms.

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Conflict of interest statement

Conflict of interestThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: RS has received research support in the last 36 months from Janssen, GSK and Takeda. Ethical approvalThere are no ethical conflicts regarding this research. We used public anonymised databases from UK Data Service (https://www.ukdataservice.ac.uk).

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References

    1. Acarturk C., McGrath M., Roberts B., Ilkkursun Z., Cuijpers P., Sijbrandij M., Sondorp E., Ventevogel P., McKee M., Fuhr D. C.,& Strengths Consortium. (2020). Prevalence and predictors of common mental disorders among Syrian refugees in Istanbul, Turkey: A cross-sectional study. Social Psychiatry and Psychiatric Epidemiology, 56(3), 475–484. - PubMed
    1. Achdut N., Refaeli T. (2020). Unemployment and psychological distress among young people during the COVID-19 pandemic: Psychological resources and risk factors. International Journal of Environmental Research and Public Health, 17(19), Article 7163. - PMC - PubMed
    1. Artazcoz L., Benach J., Borrell C., Cortès I. (2004). Unemployment and mental health: understanding the interactions among gender, family roles, and social class. American journal of Public Health, 94(1), 82–88. - PMC - PubMed
    1. Artazcoz L., Cortès I., Borrell C., Escribà-Agüir V., Cascant L. (2010). Gender and social class differences in the association between early retirement and health in Spain. Women’s Health Issues, 20(6), 441–447. - PubMed
    1. Baker C. (2020) Mental health statistics for England: prevalence, services and funding. House of Commons. Retrieved July 1, 2021, from https://dera.ioe.ac.uk/34934/1/SN06988%20%28redacted%29.pdf