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Psychometric Properties of the Mixed State Severity Index for Patients With Mood Disorder

  • Woojae Myung
  • , Hyeona Yu
  • , Hyo Shin Kang
  • , Daseul Lee
  • , Junwoo Jang
  • , Jakyung Lee
  • , Joohyun Yoon
  • , Yun Seong Park
  • , Hyun A. Ryoo
  • , Ye Rim Kim
  • , Kwang Ho Park
  • , Chan Woo Lee
  • , Yoonjeong Jang
  • , Kimyoung Kim
  • , Nara Lee
  • , Sanghoon Hong
  • , Hong Hee Won
  • , Tae Hyon Ha
  • , Jungkyu Park
  • Seoul National University
  • Kyungpook National University
  • Kangwon National University
  • Kyung Hee University

Research output: Contribution to journalArticlepeer-review

Abstract

Objective This study aimed to develop a reliable and valid Mixed State Severity Index (MSSI) to assess mood instability in patients with mood disorders and determine cutoff scores. Methods Twenty-one items were selected based on Koukopoulos’ criteria for mixed depressive episode, historically referred to as agitated depression, and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision mixed features criteria. The MSSI was administered to 242 patients (major depressive disorder [n=92], bipolar disorder [BD] I [n=78], and BD II [n=72]) and 726 controls. Results The MSSI demonstrated high internal consistency (α=0.78–0.90). Exploratory factor analysis revealed a stable four-factor structure. Based on receiver operating characteristic analysis, optimal cutoff scores were identified to distinguish mood disorder groups from controls, ranging from 19.5 to 27.5 depending on diagnosis. Conclusion The MSSI is a reliable and valid instrument for assessing the severity of mixed features in patients with mood disorders. The established cutoff scores enhance its clinical utility, providing robust diagnosis and treatment planning support.

Original languageEnglish
Pages (from-to)106-117
Number of pages12
JournalPsychiatry Investigation
Volume23
Issue number1
DOIs
StatePublished - Jan 2026

Keywords

  • Affective symptoms
  • Bipolar disorder
  • Depressive disorder
  • Psychiatric status rating scales
  • Psychometrics

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