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DSM–III Major Depressive Disorder in the Community

a Latent Class Analysis of Data from the NIMH Epidemiologic Catchment Area Programme

Published online by Cambridge University Press:  02 January 2018

William W. Eaton ,
Amy Dryman ,
Ann Sorenson  and
Allan McCutcheon
William W. Eaton*
Affiliation:
Department of Mental Hygiene, School of Hygiene and Public Health, The Johns Hopkins University
Amy Dryman
Affiliation:
Department of Mental Hygiene, School of Hygiene and Public Health, The Johns Hopkins University
Ann Sorenson
Affiliation:
Department of Mental Hygiene, School of Hygiene and Public Health, The Johns Hopkins University
Allan McCutcheon
Affiliation:
Department of Mental Hygiene, School of Hygiene and Public Health, The Johns Hopkins University
*
∗Department of Mental Hygiene, School of Hygiene and Public Health, The Johns Hopkins University, 8th Floor, Hampton House, 624 North Broadway, Baltimore, Maryland 21205, USA
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Abstract

The fit of the structure of DSM–III major depressive disorder to data from two large epidemiological surveys is assessed by latent class analysis. The surveys were conducted at the Baltimore and Raleigh–Durham sites of the National Institute of Mental Health (NIMH) Epidemiologic Catchment Area Program. Three classes are required to fit the data, and the third class bears a strong resemblance to major depressive disorder, although it requires slightly more symptoms to be present than DSM–III. The derived structure replicates successfully for Baltimore and Raleigh-Durham, with a prevalence of the major depression category of 0.9% for both sites.

Type
Papers
Information
The British Journal of Psychiatry , Volume 155 , Issue 1 , July 1989 , pp. 48 - 54
Copyright
Copyright © The Royal College of Psychiatrists 

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