Do Somatic Symptoms Predict the Severity of Depression? A Validation Study of the Korean Version of the Depression and Somatic Symptoms Scale
Autor: | Sook Haeng Joe, Changsu Han, Seo Young Yoon, Chia Yih Liu, Sang Won Jeon, Young Hoon Ko, Ho Kyoung Yoon, Yong Ku Kim |
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Rok vydání: | 2016 |
Předmět: |
Adult
Male medicine.medical_specialty Psychometrics Intraclass correlation Sensitivity and Specificity Severity of Illness Index 03 medical and health sciences 0302 clinical medicine Cronbach's alpha Cut-off Score Rating scale Internal medicine Surveys and Questionnaires Severity of illness Hamd Outpatients Republic of Korea Validation Medicine Humans Translations Psychiatry & Psychology Prospective Studies Depression and Somatic Symptoms Scale Psychiatry Depression (differential diagnoses) Depressive Disorder Major Receiver operating characteristic business.industry Depression General Medicine Middle Aged 030227 psychiatry Medically Unexplained Symptoms ROC Curve Area Under Curve Somatic Symptoms Female Original Article business 030217 neurology & neurosurgery |
Zdroj: | Journal of Korean Medical Science |
ISSN: | 1598-6357 |
Popis: | 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-Åsberg 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. Graphical Abstract |
Databáze: | OpenAIRE |
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