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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Age differences in the prevalence and co-morbidity of DSM-IV major depressive episodes: Results from the WHO world mental health survey initiative
Depression and Anxiety, Volume 27, No. 4, Year 2010
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Description
Background: Although depression appears to decrease in late life, this could be due to misattribution of depressive symptoms to physical disorders that increase in late life. Methods: We investigated this issue by studying age differences in co-morbidity of DSM-IV major depressive episodes (MDE) with chronic physical conditions in the WHOWorld Mental Health (WMH) surveys, a series of community epidemiological surveys of respondents in 10 developed countries (n=52,485) and 8 developing countries (n=37,265). MDE and other mental disorders were assessed with the Composite International Diagnostic Interview (CIDI). Organic exclusion rules were not used to avoid inappropriate exclusion of cases with physical co-morbidity. Physical conditions were assessed with a standard chronic conditions checklist. Results: Twelve-month DSM-IV/CIDI MDE was significantly less prevalent among respondents ages 65+ than younger respondents in developed but not developingcountries. Prevalence of co-morbid mental disorders generally either decreased or remained stable with age, while co-morbidity of MDE with mental disorders generally increased with age. Prevalence of physical conditions, in comparison, generally increased with age, while co-morbidity of MDE with physical conditions generally decreased with age. Depression treatment was lowest among the elderly in developed and developing countries. Conclusions: The weakening associations between MDE and physical conditions with increasing age argue against the suggestion that the low estimated prevalence of MDE among the elderly is due to increased confounding with physical disorders. Future study is needed to investigate processes that might lead to a decreasing impact of physical illness on depression among the elderly. © 2009 Wiley-Liss, Inc.
Authors & Co-Authors
Kessler, Ronald C.
United States, Boston
Harvard Medical School
Birnbaum, Howard G.
United States, Boston
Analysis Group
Shahly, Victoria
United States, Boston
Boston Psychoanalytic Society and Institute
Bromet, Evelyn J.
United States, Stony Brook
Stony Brook University
Hwang, Irving H.
United States, Boston
Harvard Medical School
McLaughlin, Katie A.
United States, Boston
Harvard Medical School
Sampson, Nancy A.
United States, Boston
Harvard Medical School
Andrade, Laura Helena Silveira Guerra
Brazil, Sao Paulo
Universidade de São Paulo
de Girolamo, Giovanni
Italy, Brescia
Irccs Centro San Giovanni Di Dio Fatebenefratelli
Demyttenaere, Koen
Belgium, Leuven
Ku Leuven– University Hospital Leuven
Haro, Josep Maria
Spain, Sant Boi de Llobregat
Parc Sanitari Sant Joan de Déu
Spain, Madrid
Instituto de Salud Carlos Iii
Karam, Aimée Nasser
Lebanon, Beirut
Saint George Hospital University Medical Center
Lebanon, Al Koura
University of Balamand
Lebanon, Beirut
Research
Kostyuchenko, Stanislav
Ukraine, Kiev
Ukrainian Psychiatric Association
Kovess - Masfety, Viviane
France, Paris
Université Paris Cité
Lara, C.
Mexico, Puebla
Benemérita Universidad Autónoma de Puebla
Levinson, Daphna
Israel, Jerusalem
Mental Health Services Ministry of Health
Matschinger, Herbert
Germany, Leipzig
Universität Leipzig
Nakane, Yoshibumi
Japan, Nagasaki
Nagasaki University
Oakley-Browne, Mark A.
Australia, Hobart
University of Tasmania
Ormel, Johan Hans
Netherlands, Groningen
Universitair Medisch Centrum Groningen
Netherlands, Groningen
Rijksuniversiteit Groningen
Posada-Villa, J. A.
Colombia, Bogota
Universidad Colegio Mayor de Cundinamarca
Sagar, Rajesh Pragna
India, New Delhi
All India Institute of Medical Sciences, new Delhi
Stein, Dan J.
South Africa, Cape Town
University of Cape Town
Statistics
Citations: 426
Authors: 23
Affiliations: 24
Identifiers
Doi:
10.1002/da.20634
ISSN:
10914269
e-ISSN:
15206394
Research Areas
Mental Health
Study Design
Cross Sectional Study
Study Approach
Quantitative