Prevalence Rates of Major Depressive DisordersThe Effects of Varying the Diagnostic Criteria in an Older Primary Care Population
作者:
Hugh Hendrie,
Christopher Callahan,
Eugene Levitt,
Siu Hui,
Beverly Musick,
Mary Austrom,
John Nurnberger,
William Tierney,
期刊:
American Journal of Geriatric Psychiatry
(OVID Available online 1995)
卷期:
Volume 3,
issue 2
页码: 119-131
ISSN:1064-7481
年代: 1995
出版商: OVID
数据来源: OVID
摘要:
Patients age 60 years and older (N = 3,767) were screened for depression using the Center for Epidemiological Studies Depression Scale (CES-D). A random sample of patients scoring ≤ 16 on the CES-D (n = 44) and of patients scoring < 16 (n = 81) were recruited to complete a structured psychiatric interview. The estimated prevalence of major depressive disorder (MDD), using a clinically derived diagnosis with the “etiological” method, was 1.78%. When a computer-generated algorithm for MDD using the “inclusive” method for counting somatic symptoms was applied, the estimated prevalence for MDD rose to 5.84%. All subjects with MDD diagnosed by any method had significantly higher scores on the Sickness Impact Profile (SIP), compared with nondepressed subjects.
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