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Paid employment and common mental disorders in 50–64-year olds: analysis of three cross-sectional nationally representative survey samples in 1993, 2000 and 2007

Published online by Cambridge University Press:  24 August 2017

G. Perera ,
G. Di Gessa ,
L. M. Corna ,
K. Glaser  and
R. Stewart
G. Perera*
Affiliation:
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
G. Di Gessa
Affiliation:
Department of Social Policy, The London School of Economics and Political Science, London, UK
L. M. Corna
Affiliation:
Institute of Gerontology, Department of Global Health & Social Medicine, School of Social Science & Public Policy, King's College London, London, UK
K. Glaser
Affiliation:
Institute of Gerontology, Department of Global Health & Social Medicine, School of Social Science & Public Policy, King's College London, London, UK
R. Stewart
Affiliation:
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK South London and Maudsley NHS Foundation Trust, London, UK
*
*Address for correspondence: Dr G. Perera, Department of Psychological Medicine (Box 63), Institute of Psychiatry (King's College London), De Crespigny Park, London SE5 8AF, UK. (Email: [email protected])
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Abstract

Aims.

Associations between employment status and mental health are well recognised, but evidence is sparse on the relationship between paid employment and mental health in the years running up to statutory retirement ages using robust mental health measures. In addition, there has been no investigation into the stability over time in this relationship: an important consideration if survey findings are used to inform future policy. The aim of this study is to investigate the association between employment status and common mental disorder (CMD) in 50–64-year old residents in England and its stability over time, taking advantage of three national mental health surveys carried out over a 14-year period.

Methods.

Data were analysed from the British National Surveys of Psychiatric Morbidity of 1993, 2000 and 2007. Paid employment status was the primary exposure of interest and CMD the primary outcome – both ascertained identically in all three surveys (CMD from the revised Clinical Interview Schedule). Multivariable logistic regression models were used.

Results.

The prevalence of CMD was higher in people not in paid employment across all survey years; however, this association was only present for non-employment related to poor health as an outcome and was not apparent in those citing other reasons for non-employment. Odds ratios for the association between non-employment due to ill health and CMD were 3.05 in 1993, 3.56 in 2000, and 2.80 in 2007, after adjustment for age, gender, marital status, education, social class, housing tenure, financial difficulties, smoking status, recent physical health consultation and activities of daily living impairment.

Conclusions.

The prevalence of CMD was higher in people not in paid employment for health reasons, but was not associated with non-employment for other reasons. Associations had been relatively stable in strength from 1993 to 2007 in those three cross-sectional nationally representative samples.

Keywords

Community mental healthcross-sectional studyeconomic issuesepidemiologysocial and political issues
Type
Original Articles
Information
Epidemiology and Psychiatric Sciences , Volume 28 , Issue 1 , February 2019 , pp. 88 - 99
Copyright
Copyright © Cambridge University Press 2017 

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References

Alavinia, SM, Burdorf, A (2008). Unemployment and retirement and ill-health: a cross-sectional analysis across European countries. International Archives of Occupational and Environmental Health 82, 39–45.Google Scholar
Bartley, M (1994). Unemployment and ill health: understanding the relationship. Journal of Epidemiology and Community Health 48, 333–337.Google Scholar
Butterworth, P, Gill, SC, Rodgers, B, Anstey, KJ, Villamil, E, Melzer, D (2006). Retirement and mental health: analysis of the Australian national survey of mental health and well-being. Social Science and Medicine 62, 1179–1191.Google Scholar
Butterworth, P, Leach, LS, McManus, S, Stansfeld, SA (2013). Common mental disorders, unemployment and psychosocial job quality: is a poor job better than no job at all? Psychological Medicine 43, 1763–1772.Google Scholar
Buxton, JW, Singleton, N, Melzer, D (2005). The mental health of early retirees – national interview survey in Britain. Social Psychiatry and Psychiatric Epidemiology 40, 99–105.Google Scholar
Calvo, E (2006). Does Working Longer Make People Healthier and Happier? MPRA Paper No. 5606, Munich Personal RePEc Archive. Retrieved 15 April 2016 from http://mpra.ub.uni-muenchen.de/5606/1/MPRA_paper_5606.pdf.Google Scholar
Calvo, E, Haverstick, K, Sass, SA (2009). Gradual retirement, sense of control, and retirees’ happiness. Research on Aging 31, 112–135.Google Scholar
Calvo, E, Sarkisian, N, Tamborini, CR (2013). Causal effects of retirement timing on subjective physical and emotional health. Journals of Gerontology Series B: Psychological Sciences and Social Sciences 68, 73–84.Google Scholar
Choi, KS, Stewart, R, Dewey, M (2013). Participation in productive activities and depression among older Europeans: survey of health, ageing and retirement in Europe (SHARE). International Journal of Geriatric Psychiatry 28, 1157–1165.Google Scholar
Christ, SL, Lee, DJ, Fleming, LE, LeBlanc, WG, Arheart, KL, Chung-Bridges, K, Caban, AJ, McCollister, KE (2007). Employment and occupation effects on depressive symptoms in older Americans: does working past age 65 protect against depression? Journals of Gerontology Series B: Psychological Sciences and Social Sciences 62, 399–403.Google Scholar
Dew, MA, Bromet, EJ, Penkower, L (1992). Mental health effects of job loss in women. Psychological Medicine 22, 751–764.Google Scholar
Di Gessa, G, Grundy, E (2014). The relationship between active ageing and health using longitudinal data from Denmark, France, Italy and England. Journal of Epidemiology and Community Health 68, 261–267.Google Scholar
Ford, E, Clark, C, McManus, S, Harris, J, Jenkins, R, Bebbington, P, Brugha, T, Meltzer, H, Stansfeld, SA (2010). Common mental disorders, unemployment and welfare benefits in England. Public Health 124, 675–681.Google Scholar
Friedli, L (2009). Mental Health, Resilience and Inequalities. WHO Regional Office for Europe: Copenhagen, Denmark.Google Scholar
Glass, TA, De Leon, CFM, Bassuk, SS, Berkman, LF (2006). Social engagement and depressive symptoms in late life longitudinal findings. Journal of Aging and Health 18, 604–628.Google Scholar
Graetz, B (1993). Health consequences of employment and unemployment: longitudinal evidence for young men and women. Social Science and Medicine 36, 715–724.Google Scholar
Hesselink, DJK, Van Vuuren, T (1999). Job flexibility and job insecurity: the Dutch case. European Journal of Work and Organizational Psychology 8, 273–293.Google Scholar
Kawachi, I, Subramanian, SV, Almeida-Filho, N (2002). A glossary of health inequalities. Journal of Epidemiology and Community Health 56, 647–652.Google Scholar
Laaksonen, M, Blomgren, J, Gould, R (2016). Sickness allowance trajectories preceding disability retirement: a register-based retrospective study. European Journal of Public Health 26, 1050–1055.Google Scholar
Lamberg, T, Virtanen, P, Vahtera, J, Luukkaala, T, Koskenvuo, M (2010). Unemployment, depressiveness and disability retirement: a follow-up study of the Finnish HeSSup population sample. Social Psychiatry and Psychiatric Epidemiology 45, 259–264.Google Scholar
Lewis, G, Pelosi, AJ, Araya, R, Dunn, G (1992). Measuring psychiatric disorder in the community: a standardized assessment for use by lay interviewers. Psychological Medicine 22, 465–486.Google Scholar
Lynn, P (2011). Maintaining Cross-Sectional Representativeness in a Longitudinal General Population Survey. Institute for Social and Economic Research, University of Essex. Understanding Society. Working Paper Series. No. 2011 – 04. Retrieved 12th July 2016 from https://www.understandingsociety.ac.uk/research/publications/working-paper/understanding-society/2011-04.pdf.Google Scholar
Marmot, M (2010) Fair Society, Healthy Lives. The Marmot Review. Strategic review of health inequalities in England post-2010. The Marmot Review February 2010.Google Scholar
Martikainen, P, Stansfeld, SA, Brunner, EJ, Fuhrer, R, Marmot, MG (2000). Predictors of early retirement in British civil servants. Age and Ageing 29, 529–536.Google Scholar
McDonnall, MC (2011). The effect of productive activities on depressive symptoms among older adults with dual sensory loss. Research on Aging 33, 234–255.Google Scholar
Mein, G, Martikainen, P, Stansfeld, SA, Brunner, EJ, Fuhrer, R, Marmot, MG (2000). Predictors of early retirement in British civil servants. Age and Ageing 29, 529–536.Google Scholar
Melzer, D, Buxton, J, Villamil, E (2004). Decline in common mental disorder prevalence in men during the sixth decade of life. Social Psychiatry and Psychiatric Epidemiology 39, 33–38.Google Scholar
Mirowsky, J, Ross, CE (1992). Age and depression. Journal of Health and Social Behaviour 33, 187–205. discussion 6–12.Google Scholar
Monden, CW (2005). Current and lifetime exposure to working conditions. Do they explain educational differences in subjective health? Social Science and Medicine (1982) 60, 2465–2476.Google Scholar
Ojeda, V, Frank, R, McGuire, T, Gilmer, T (2010). Mental illness, nativity, gender and labour supply. Health Economics 19, 396–421.Google Scholar
ONS Labour Force Survey (2016). Retrieved 11th July 2016 from http://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/bulletins/uklabourmarket/june2016.Google Scholar
Park, H, Hwangbo, Y, Lee, YJ, Jang, EC, Han, W (2016). Employment and occupation effects on late-life depressive symptoms among older Koreans: a cross-sectional population survey. Annals of Occupational and Environmental Medicine 28, 22.Google Scholar
Spiers, N, Brugha, TS, Bebbington, P, McManus, S, Jenkins, R, Meltzer, H (2012). Age and birth cohort differences in depression in repeated cross-sectional surveys in England: the National Psychiatric Morbidity Surveys, 1993 to 2007. Psychological Medicine 42, 2047–2055.Google Scholar
Vickerstaff, S (2010). Older workers: the ‘unavoidable obligation’ of extending our working lives? Sociology Compass 4, 10869–10879.Google Scholar
Villamil, E, Huppert, FA, Melzer, D (2006). Low prevalence of depression and anxiety is linked to statutory retirement ages rather than personal work exit: a national survey. Psychological Medicine 36, 999–1009.Google Scholar
Weich, S, Lewis, G (1998). Poverty, unemployment, and common mental disorders: population based cohort study. British Medical Journal (Clinical research edition) 317, 115–119.Google Scholar
Westerlund, H, Vahtera, J, Ferrie, JE, Singh-Manoux, A, Pentti, J, Melchior, M, Leineweber, C, Jokela, M, Siegrist, J, Goldberg, M, Zins, M, Kivimäki, M (2010). Effect of retirement on major chronic conditions and fatigue: French GAZEL occupational cohort study. British Medical Journal 341, c6149.Google Scholar
Whiting, K (2005). The labour market participation of older people. Labour Market Trends 112, 285–295.Google Scholar
Wilkinson, R, Pickett, K (2010). The Spirit Level: Why Equality is Better for Everyone. London: Penguin. £9.99, pp. 347, pbk. Journal of Social Policy 42(4), 840–842. doi: 10.1017/S0047279413000366.Google Scholar
Wilkinson, RG (1996). Unhealthy Societies: the Afflictions of Inequality. Routledge: London.Google Scholar