J Korean Med Sci.  2016 Dec;31(12):2002-2009. 10.3346/jkms.2016.31.12.2002.

Do Somatic Symptoms Predict the Severity of Depression? A Validation Study of the Korean Version of the Depression and Somatic Symptoms Scale

Affiliations
  • 1Department of Psychiatry, Korea University Ansan Hospital, Ansan, Korea. koyh@korea.ac.kr
  • 2Department of Psychiatry, Korea University Guro Hospital, Seoul, Korea.
  • 3Department of Psychiatry, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan, Taiwan.

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-Ã…sberg 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.

Keyword

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

MeSH Terms

Depression*
Depressive Disorder, Major
Diagnosis
Discrimination (Psychology)
Humans
Outpatients
Psychometrics
ROC Curve
Sensitivity and Specificity

Figure

  • Fig. 1 Receiver operating characteristic curve for the DSSS and the MADRS to detect patients with depressed state. DSSS = Depression and Somatic Symptoms Scale, MADRS = Montgomery-Åsberg Depression Rating Scale.

  • Fig. 2 The SS scores and number of somatic symptoms evaluated using the DSSS in subjects with non-remission (n = 106) and in subjects with full remission (n = 97). (A) Frequencies of number of subjects depending on SS score in non-remission and in remission. (B) Frequencies of number of subjects depending on number of somatic symptoms in non-remission and in remission. DSSS = Depression and Somatic Symptoms Scale, SS = somatic subscale.

  • Fig. 3 Simple linear regression (n = 203) for evaluating whether the number of somatic symptoms or the SS scores predict the MADRS scores. These findings reach statistical significance in linear regression analysis (both P < 0.001). (A) Linear regression of the number of somatic symptoms on the MADRS scores. (B) Linear regression of the SS scores on the MADRS scores. MADRS = Montgomery-Åsberg depression rating scale, SS = somatic subscale.


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