Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
neuroscience
Early-life mental disorders and adult household income in the world mental health surveys
Biological Psychiatry, Volume 72, No. 3, Year 2012
Notification
URL copied to clipboard!
Description
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. © 2012 Society of Biological Psychiatry.
Authors & Co-Authors
Kawakami, Norito
Unknown Affiliation
Abdulghani, Emad Abdulrazaq
Unknown Affiliation
Alonso Caballero, J. L.
Unknown Affiliation
Bromet, Evelyn J.
Unknown Affiliation
Bruffaerts, Ronny
Unknown Affiliation
Caldas-de-Almeida, José M.
Unknown Affiliation
Chiu, Wai Tat
Unknown Affiliation
de Girolamo, Giovanni
Unknown Affiliation
de Graaf, Ron
Unknown Affiliation
Fayyad, John A.
Unknown Affiliation
Ferry, F.
Unknown Affiliation
Florescu, Silvia E.
Unknown Affiliation
Gureje, Oye
Unknown Affiliation
Hu, Chiyi
Unknown Affiliation
Lakoma, Matthew D.
Unknown Affiliation
LeBlanc, William
Unknown Affiliation
Lee, Sing
Unknown Affiliation
Levinson, Daphna
Unknown Affiliation
Malhotra, Savita
Unknown Affiliation
Matschinger, Herbert
Unknown Affiliation
Medina-Mora, M. E.
Unknown Affiliation
Nakamura, Yosizkazu
Unknown Affiliation
Oakley-Browne, Mark A.
Unknown Affiliation
Okoliyski, Michail
Unknown Affiliation
Posada-Villa, J. A.
Unknown Affiliation
Sampson, Nancy A.
Unknown Affiliation
Viana, Maria Carmen
Unknown Affiliation
Kessler, Ronald C.
Unknown Affiliation
Statistics
Citations: 87
Authors: 28
Affiliations: 28
Identifiers
Doi:
10.1016/j.biopsych.2012.03.009
ISSN:
00063223
e-ISSN:
18732402
Research Areas
Health System And Policy
Mental Health
Study Design
Cross Sectional Study
Participants Gender
Male
Female