4.6 Article

Effects of depression on employment and social outcomes: a Mendelian randomisation study

Journal

JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH
Volume 76, Issue 6, Pages 563-571

Publisher

BMJ PUBLISHING GROUP
DOI: 10.1136/jech-2021-218074

Keywords

Keywords

Funding

  1. Health Foundation's Social and Economic Value of Health Programme [807293]
  2. Medical Research Council [MC_UU_00022/2]
  3. Scottish Government Chief Scientist Office [SPHSU17]
  4. NHS Research Scotland (NRS) Senior Clinical Fellowship [SCAF/15/02]
  5. Economics and Social Research Council (ESRC) Future Research Leaders grant [ES/N000757/1]
  6. Norwegian Research Council [295989]
  7. Career Development Award from the UK Medical Research Council [MR/M020894/1]
  8. MRC Strategic Award [MRC_PC_13027]
  9. Sir Henry Wellcome Postdoctoral Fellowship [213674/Z/18/Z]
  10. Brain & Behavior Research Foundation 2018 NARSAD Young Investigator Grant [27404]
  11. Medical Research Centre Integrative Epidemiology Unit at the University of Bristol [MC_UU_0011/1, MC_UU_0011/7]
  12. Medical Research Centre grant [MC_PC_17209]
  13. Wellcome Trust [104036/Z/14/Z, 220857/Z/20/Z]

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This study used Mendelian randomisation to investigate the causal effect of depression on employment and related outcomes. The results showed that depression liability was associated with increased non-employment, sickness/disability, and early retirement. However, there was little evidence of depression affecting weekly hours worked, household income, or educational attainment. Effective treatment of depression could have important economic benefits.
Background Depression is associated with socioeconomic disadvantage. However, whether and how depression exerts a causal effect on employment remains unclear. We used Mendelian randomisation (MR) to investigate whether depression affects employment and related outcomes in the UK Biobank dataset. Methods We selected 227 242 working-age participants (40-64 in men, 40-59 years for women) of white British ethnicity/ancestry with suitable genetic data in the UK Biobank study. We used 30 independent genetic variants associated with depression as instruments. We conducted observational and two-sample MR analyses. Outcomes were employment status (employed vs not, and employed vs sickness/disability, unemployment, retirement or caring for home/family); weekly hours worked (among employed); Townsend Deprivation Index; highest educational attainment; and household income. Results People who had experienced depression had higher odds of non-employment, sickness/disability, unemployment, caring for home/family and early retirement. Depression was associated with reduced weekly hours worked, lower household income and lower educational attainment, and increased deprivation. MR analyses suggested depression liability caused increased non-employment (OR 1.16, 95% CI 1.06 to 1.26) and sickness/disability (OR 1.56, 95% CI 1.34 to 1.82), but was not causal for caring for home/family, early retirement or unemployment. There was little evidence from MR that depression affected weekly hours worked, educational attainment, household income or deprivation. Conclusions Depression liability appears to cause increased non-employment, particularly by increasing disability. There was little evidence of depression affecting early retirement, hours worked or household income, but power was low. Effective treatment of depression might have important economic benefits to individuals and society.

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