4.7 Article

Early-Life Mental Disorders and Adult Household Income in the World Mental Health Surveys

期刊

BIOLOGICAL PSYCHIATRY
卷 72, 期 3, 页码 228-237

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.biopsych.2012.03.009

关键词

Cross-national; early-onset; income; epidemiology; mental disorders; WHO World Mental Health (WMH)

资金

  1. U.S. National Institute of Mental Health [R01MH070884]
  2. John D. and Catherine T. MacArthur Foundation
  3. Pfizer Foundation
  4. U.S. Public Health Service [R13-MH066849, R01-MH069864, R01 DA016558]
  5. Fogarty International Center [FIRCA R03-TW006481]
  6. Pan American Health Organization
  7. Eli Lilly & Company Foundation
  8. Ortho-McNeil Pharmaceutical
  9. GlaxoSmithKline
  10. Bristol-Myers Squibb
  11. Shire
  12. State of Sao Paulo Research Foundation [03/00204-3]
  13. Ministry of Health
  14. National Center for Public Health Protection
  15. Shenzhen Bureau of Health
  16. Shenzhen Bureau of Science, Technology, and Information
  17. Ministry of Social Protection
  18. European Commission [QLG5-1999-01042, SANCO 2004123, EAHC 20081308]
  19. Piedmont Region (Italy)
  20. Fondo de Investigacion Sanitaria, Instituto de Salud Carlos III, Spain [FIS 00/0028]
  21. Ministerio de Ciencia y Tecnologia, Spain [SAF 2000 158-CE]
  22. Departament de Salut, Generalitat de Catalunya, Spain
  23. Instituto de Salud Carlos III [CIBER CB06/02/0046, RETICS RD06/0011 REM-TAP]
  24. World Health Organization (India)
  25. Japanese Funds through United Nations Development Group Iraq Trust Fund
  26. European Funds through United Nations Development Group Iraq Trust Fund
  27. Israel National Institute for Health Policy and Health Services Research
  28. National Insurance Institute of Israel
  29. Japan Ministry of Health, Labour and Welfare [H13-SHOGAI-023, H14-TOKUBETSU-026, H16-KOKORO-013]
  30. Lebanese Ministry of Public Health
  31. WHO (Lebanon)
  32. Fogarty International
  33. Act for Lebanon
  34. Janssen Cilag
  35. Eli Lilly
  36. Roche
  37. Novartis
  38. National Institute of Psychiatry Ramon de la Fuente [INPRFMDIES 4280]
  39. National Council on Science and Technology [CONACyT-G30544-H]
  40. New Zealand Ministry of Health, Alcohol Advisory Council
  41. Health Research Council
  42. WHO (Geneva)
  43. WHO (Nigeria)
  44. Federal Ministry of Health, Abuja, Nigeria
  45. Champalimaud Foundation
  46. Gulbenkian Foundation
  47. Foundation for Science and Technology
  48. Ministry of Public Health
  49. Eli Lilly Romania
  50. U.S. National Institute of Mental Health (NIMH) [R01-MH059575]
  51. National Institute of Drug Abuse
  52. South African Department of Health
  53. University of Michigan
  54. U.S. NIMH [RO1-MH61905]
  55. NIMH [U01-MH60220]
  56. Substance Abuse and Mental Health Services Administration
  57. Robert Wood Johnson Foundation [044708]
  58. John W. Alden Trust
  59. Ministry of Education, Culture, Sports, Science and Technology, Japan [4102-21119001]
  60. Analysis Group Inc.
  61. Eli Lilly Company
  62. EPI-Q
  63. Johnson & Johnson Pharmaceuticals
  64. Ortho-McNeil Janssen Scientific Affairs
  65. Pfizer Inc.
  66. Sanofi-Aventis Groupe
  67. Shire US, Inc.
  68. MRC [G0901530] Funding Source: UKRI
  69. Medical Research Council [G0901530] Funding Source: researchfish
  70. Grants-in-Aid for Scientific Research [21119003] Funding Source: KAKEN
  71. Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [03/00204-3] Funding Source: FAPESP

向作者/读者索取更多资源

Background: Better information on the human capital costs of early-onset mental disorders could increase sensitivity of policy makers to the value of expanding initiatives for early detection and treatment. Data are presented on one important aspect of these costs: the associations of early-onset mental disorders with adult household income. Methods: Data come from the World Health Organization (WHO) World Mental Health Surveys in 11 high-income, five upper-middle income, and six low/lower-middle income countries. Information about 15 lifetime DSM-IV mental disorders as of age of completing education, retrospectively assessed with the WHO Composite International Diagnostic Interview, was used to predict current household income among respondents aged 18 to 64 (n = 37,741) controlling for level of education. Gross associations were decomposed to evaluate mediating effects through major components of household income. Results: Early-onset mental disorders are associated with significantly reduced household income in high and upper-middle income countries but not low/lower-middle income countries, with associations consistently stronger among women than men. Total associations are largely due to low personal earnings (increased unemployment, decreased earnings among the employed) and spouse earnings (decreased probabilities of marriage and, if married, spouse employment and low earnings of employed spouses). Individual-level effect sizes are equivalent to 16% to 33% of median within-country household income, and population-level effect sizes are in the range 1.0% to 1.4% of gross household income. Conclusions: Early mental disorders are associated with substantial decrements in income net of education at both individual and societal levels. Policy makers should take these associations into consideration in making health care research and treatment resource allocation decisions.

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