The Roles of Socioeconomic Status, Occupational Health and Job Rank on the Epidemiology of Different Psychiatric Symptoms in a Sample of UK Workers
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There is a considerable gap in epidemiological literature about community mental health showing how psychiatric symptoms are associated with job rank, socioeconomic status, and occupational health. We examine data from 4596 employees collected in the United Kingdom’s Psychiatric Morbidity among Adults Living in Private Households Survey. There were 939 workers in managerial jobs, 739 in supervisory jobs and 2918 employees in lower ranking jobs. Of the 4596 workers, 2463 had depressive symptoms and 2133 no depressive symptoms. Job rank, household gross income, social class, personal gross income and socio-economic group were significantly associated with general health, occupational health and depressive and avoidant symptoms. Job rank, occupational and physical health also explained the variance in paranoid and avoidant symptoms among the employees. This study shows that severe psychopathology is related to workers’ job rank.
KeywordsOccupational health Epidemiology Depression Paranoia Job rank Socioeconomic status
The authors acknowledge that the UK Office for National Statistics is the copyright holder of the psychiatric morbidity survey dataset and was not involved in its interpretation for this article.
Compliance with Ethical Standards
Conflict of interest
The authors declare no conflicts of interest.
- American Psychiatric Association (APA) (1994) Diagnostic and statistic manual of mental disorders (DSM). Washington, D.C.: American Psychiatric Association Publications.Google Scholar
- Babor, T. F., Higgins-Biddle, J. C., Saunders, J. B., & Monteiro, M. G. (1992) The alcohol use disorders identification test (AUDIT) guidelines for use in primary care. Geneva: World Health Organization, Department of Mental Health and Substance Dependence.Google Scholar
- Bebbington, P., & Nayani, T. (1995). The Psychosis Screening Questionnaire. International Journal of Methods Psychiatric Research, 5, 11–19.Google Scholar
- First, M. B., Gibbon, M., Spitzer, R. L., Williams, J. B. W., & Benjamin, L. S. (1997). Structured clinical interview for DSM-IV axis II personality disorders, (SCID-II). Washington, D.C.: American Psychiatric Press, Inc.Google Scholar
- Gilbert, P. (1992). Depression: The evolution of powerlessness. New York: Guilford Press.Google Scholar
- Goldthorpe, J. H. (1997). The “Goldthorpe” class schema: Some observations on conceptual and operational issues in relation to the ESRC review of government social classifications. In D. Rose & K. O’Reilly (Eds.), Constructing classes. Swindon and London: ESRC and ONS.Google Scholar
- Health and Safety Executive (2016) Work-related stress, depression and anxiety statistics in the UK. National Statistics: http://www.hse.gov.uk/statistics/.
- Lelliott, O., Tulloch, S., Boardman, J., et al. (2008). Mental health and work. Commissioned by the cross government health work and wellbeing programme. London: Royal College of Psychiatrists.Google Scholar
- Lerner, D., Adler, D., Chang, H., Lapitsky, L., Hood, M., Perissinotto, C., Reed, J., McLaughlin, T., Berndt, E., & Rogers, W. (2004). Unemployment, job retention, and productivity loss among employees with depression. Psychiatric Services, 55(12), 1371–1378. https://doi.org/10.1176/appi.ps.55.12.1371.CrossRefGoogle Scholar
- Lopes, B. (2013). Differences between victims of bullying and non-victims on levels of paranoid ideation and persecutory symptoms, the presence of aggressive traits, the display of social anxiety and the recall of childhood abuse experiences in a Portuguese mixed clinical sample. Clinical Psychology & Psychotherapy, 20(3), 254–266.CrossRefGoogle Scholar
- Office for National Statistics (2003) Psychiatric morbidity among adults living in private households, 2000 [computer file]. Colchester: UK Data Archive [distributor]. SN: 4653, https://doi.org/10.5255/UKDA-SN-4653-1.
- Office of Population Censuses and Surveys (1990). Standard occupational classification (Vol. 1). HMSO: London.Google Scholar
- Schmueli, H., Rogowski, O., Toker, S., Melamed, S., Leshem-Rubinow, E., Ben-Assa, E., Shapira, I., Berliner, S., & Steinvil, A. (2014). Effect of socioeconomic status on cardio-respiratory fitness: Data from a health screening program. Journal of Cardiovascular Medicine, 15(6), 435–440.CrossRefGoogle Scholar
- Smith, A., Wadsworth, E., Moss, S., et al. (2004). The scale and impact of psychotropic medication use by workers. In Health and Safety Executive: Research Report 282. HSE Books: Crown Copyright.Google Scholar
- Stansfeld, S., Clark, C., Bebbington, P., King, M., Jenkins, R., & Hinchliffe, S. (2016). Chapter 2: Common mental disorders. In S. McManus, P. Bebbington, R. Jenkins & T. Brugha (Eds.), Mental health and wellbeing in England: Adult Psychiatric Morbidity Survey 2014. Leeds: NHS Digital.Google Scholar
- Stockwell, T., Murphy, D., & Hodgson, R. (1983) The severity of alcohol dependence questionnaire: Its use, reliability and validity. Addiction, 78(2), 145–155. https://doi.org/10.1111/j.1360-0443.1983.tb05502.x.Google Scholar
- World Health Organization (1993). The ICD-10 classification of mental and behavioural disorders. Diagnostic criteria for research. Geneva: WHO.Google Scholar