Do somatic symptoms predict the severity of depression? A validation study of the korean version of the depression and somatic symptoms scale

Sang Won Jeon, Seo Young Yoon, Young-Hoon Ko, Sook haeng Joe, Yong Ku Kim, Changsu Han, Ho-Kyoung Yoon, Chia Yih Liu

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This study aimed at exploring the psychometric characteristics of the Korean Version of the Depression and Somatic Symptoms Scale (DSSS) in a clinical sample, and investigating the impact of somatic symptoms on the severity of depression. Participants were 203 consecutive outpatients with current major depressive disorders (MDD) or lifetime diagnosis of MDD. The DSSS was compared with the Montgomery-Asberg Depression Rating Scale (MADRS) and the 17-items Hamilton Depression Rating Scale (HAMD). The DSSS showed a two-factor structure that accounted for 56.8% of the variance, as well as excellent internal consistency (Cronbach's alpha = 0.95), concurrent validity (r = 0.44-0.82), and temporal stability (intraclass correlation coefficient = 0.79). The DSSS had a high ability to identify patients in non-remission (area under receiver operating characteristic [ROC] curve = 0.887). Maximal discrimination between remission and non-full remission was obtained at a cut-off score of 22 (sensitivity = 82.1%, specificity = 81.4%). The number of somatic symptoms (the range of somatic symptoms) and the scores on the somatic subscale (SS, the severity of somatic symptoms) in non-remission patients were greater than those in remission patients. The number of somatic symptoms (slope = 0.148) and the SS score (slope = 0.472) were confirmed as excellent predictors of the depression severity as indicated by the MADRS scores. The findings indicate that the DSSS is a useful tool for simultaneously, rapidly, and accurately measuring depression and somatic symptoms in clinical practice settings and in consultation fields.

Original languageEnglish
Pages (from-to)2002-2009
Number of pages8
JournalJournal of Korean Medical Science
Volume31
Issue number12
DOIs
Publication statusPublished - 2016 Jan 1

Fingerprint

Validation Studies
Depression
Major Depressive Disorder
Medically Unexplained Symptoms
Aptitude
Psychometrics
ROC Curve
Outpatients
Referral and Consultation
Sensitivity and Specificity

Keywords

  • Cut-off Score
  • Depression
  • Depression and Somatic Symptoms Scale
  • Psychometrics
  • Somatic Symptoms
  • Validation

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Do somatic symptoms predict the severity of depression? A validation study of the korean version of the depression and somatic symptoms scale. / Jeon, Sang Won; Yoon, Seo Young; Ko, Young-Hoon; Joe, Sook haeng; Kim, Yong Ku; Han, Changsu; Yoon, Ho-Kyoung; Liu, Chia Yih.

In: Journal of Korean Medical Science, Vol. 31, No. 12, 01.01.2016, p. 2002-2009.

Research output: Contribution to journalArticle

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