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Cited 7 time in webofscience Cited 5 time in scopus
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The Symptom Frequency Characteristics of the Hamilton Depression Rating Scale and Possible Symptom Clusters of Depressive Disorders in Korea: The CRESCEND Study

Authors
Jang, Sae-HeonPark, Young-NamJae, Young-MyoJun, Tae-YounLee, Min-SooKim, Jae-MinJeong, Seung-HeeKim, Jung-Bum
Issue Date
Dec-2011
Publisher
대한신경정신의학회
Keywords
Symptom frequency; Variation; HDRS-17; Core symptoms cluster; Associate symptoms cluster; Situation-specific symptoms cluster
Citation
Psychiatry Investigation, v.8, no.4, pp 312 - 319
Pages
8
Indexed
SCIE
SCOPUS
KCI
Journal Title
Psychiatry Investigation
Volume
8
Number
4
Start Page
312
End Page
319
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/35153
DOI
10.4306/pi.2011.8.4.312
ISSN
1738-3684
1976-3026
Abstract
Objective This study analyzed the symptom frequencies of 17-item Hamilton Depression Rating Scale (HDRS-17) to understand the characteristics of each item and to propose the possible symptoms clusters. Methods From psychiatric clinics of 18 Hospitals in Korea, 1,183 patients, diagnosed with major depressive disorder (psychotic or non-psychotic), dysthymia or depressive disorder not otherwise specified. according to DSM-IV criteria, participated in this study from January 2006 to August 2008. The frequencies of each item of HDRS-17 were analyzed according to sex and severity. In addition, we compared this study with a previous study performed in England by Hamilton and with two studies performed in Korea by Kim et al. Results The frequencies of HDRS-17 items varied widely in this study, ranging from 95.8% in work and activities to 37.4% in loss of weight. But, depressed mood, psychic anxiety and work and activities items exhibited constant and higher frequency or rank regardless of study, the severity of depression or sex. Insomnia early, somatic gastrointestinal, genital symptoms and insight showed relatively constant but lower frequency or rank in disregard of studies or the clinical variables. Other symptoms had variable frequencies or ranks according to the variable clinical situations (culture, time, sex, severity of depression). Conclusion We propose three clusters of symptoms in depressive disorders: core symptoms cluster, an associated symptoms, and a situation-specific symptoms. We can use these possible symptom clusters of depression in simplifying diagnosis of depression, increasing diagnostic specificity in special situation and indexing disease severity.
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