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The epidemiology of psychiatrist-ascertained depression and DSM-III depressive disorders Results from the Eastern Baltimore Mental Health Survey Clinical

Published online by Cambridge University Press:  09 July 2009

A. J. Romanoski*
Affiliation:
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine and School of Hygiene and Public Health, Baltimore, Maryland; Department of Epidemiology and Biostatistics, University of South Florida College of Public Health, Tampa, Florida, USA
M. F. Folstein
Affiliation:
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine and School of Hygiene and Public Health, Baltimore, Maryland; Department of Epidemiology and Biostatistics, University of South Florida College of Public Health, Tampa, Florida, USA
G. Nestadt
Affiliation:
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine and School of Hygiene and Public Health, Baltimore, Maryland; Department of Epidemiology and Biostatistics, University of South Florida College of Public Health, Tampa, Florida, USA
R. Chahal
Affiliation:
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine and School of Hygiene and Public Health, Baltimore, Maryland; Department of Epidemiology and Biostatistics, University of South Florida College of Public Health, Tampa, Florida, USA
A. Merchant
Affiliation:
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine and School of Hygiene and Public Health, Baltimore, Maryland; Department of Epidemiology and Biostatistics, University of South Florida College of Public Health, Tampa, Florida, USA
C. H. Brown
Affiliation:
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine and School of Hygiene and Public Health, Baltimore, Maryland; Department of Epidemiology and Biostatistics, University of South Florida College of Public Health, Tampa, Florida, USA
E. M. Gruenberg
Affiliation:
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine and School of Hygiene and Public Health, Baltimore, Maryland; Department of Epidemiology and Biostatistics, University of South Florida College of Public Health, Tampa, Florida, USA
P. R. McHugh
Affiliation:
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine and School of Hygiene and Public Health, Baltimore, Maryland; Department of Epidemiology and Biostatistics, University of South Florida College of Public Health, Tampa, Florida, USA
*
1 Address for correspondence: Dr Alan J Romanoski, Department of Psychiatry, The Johns Hopkins Hospital, Meyer 4–119, 600 N. Wolfe street, Baltimore, Maryland 21205, USA.

Synopsis

Psychiatrists used a semi-structured Standardized Psychiatric Examination method to examine 810 adults drawn from a probability sample of eastern Baltimore residents in 1981. Of the population, 5·9% was found to be significantly depressed. DSM-III major depression (MD) had a prevalence of 1·1% and ‘non-major depression’ (nMD), our collective term for the other depressive disorder categories in DSM-III, had a prevalence of 3·4%. The two types of depression differed by sex ratio, age-specific prevalence, symptom severity, symptom profiles, and family history of suicide. Analyses using a multiple logistic regression model discerned that both types of depression were influenced by adverse life events, and that nMD was influenced strongly by gender, marital status, and lack of employment outside the home. Neither type of depression was influenced by income, education, or race. This study validates the concept of major depression as a clinical entity. Future studies of the aetiology, mechanism, and treatment of depression should distinguish between these two types of depression.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 1992

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References

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