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

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    5 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

    Keywords

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

    ASJC Scopus subject areas

    • Medicine(all)

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