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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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