Evidence map›Paper›PMID 40842006›Full record

ArticleBMC psychiatry2025

Psychometric characteristics of the Chinese version of the Columbia-Suicide Severity Rating Scale among people with mental health diagnosis.

Sanrong Xiao, Qing Ge, Ting Wang, Minxuan Zhang, Anquan Hu, Xiangyang Zhang

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Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Sanrong Xiao *School of Public Policy and Administration, Nanchang University, Nanchang, Jiangxi, China.
Qing Ge *Jiangxi College Of Foreign Studies, Nanchang, Jiangxi, China.
Ting Wang *Department of Humanities, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Minxuan ZhangDepartment of Humanities, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Anquan HuDepartment of Sleep, Third People's Hospital of Ganzhou, Ganzhou, Jiangxi, 330006, China. 1193304813@qq.com.
Xiangyang ZhangHefei Fourth People's Hospital, Hefei, Anhui, 230022, China. zhangxy@psych.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDie by suicide is a significant public health issue globally, especially among individuals with mental health diagnoses. An efficient and reliable tool for suicidal intervention is urgently needed to identify those who are in danger. A widely recognized tool for assessing the risk of death by suicide around the world is the Columbia-Suicide Severity Rating Scale (C-SSRS). This study conducted an assessment of the C-SSRS's psychometric qualities among participants with mental health diagnoses in China.

methodsOf the 614 individuals diagnosed with mental health diagnoses who participated in the study, 161 had previously attempted to take their own life. Reliability was assessed using Cronbach's alpha and McDonald's omega. The construct validity was tested using ULSMV (unweighted least squares with mean- and variance-adjusted standard errors). Discriminant and convergent validity were evaluated using the third item of the Hamilton Depression Rating Scale (HAMD-17) and the Schizophrenia Quality of Life Scale (SQLS). Participants' history of suicide attempts was used to calculate predictive validity.

resultsThe analysis demonstrated that the C-SSRS exhibited satisfactory internal consistency. The Cronbach alpha was 0.869, and McDonald's omega was 0.871. The C-SSRS's three-factor structure and the two-component structure of the suicidal ideation intensity subscale were both validated by confirmatory factor analysis (CFA). Data analysis revealed that the active-passive model has a relatively better overall scale fit (χ²/df = 3.862, RMSEA = 0.068, SRMR = 0.0605, CFI = 0.917, IFI = 0.918, AGFI = 0.884). A high composite reliability value supports convergent validity. Both discriminant and divergent validity are satisfactory. Predictive validity indicates that the four subscales of the C-SSRS can effectively predict suicide attempts.

conclusionsThis study is the first to examine the scale factor model and the active-passive model of the C-SSRS among individuals with mental health diagnoses in China. The results demonstrated that the C-SSRS has sufficient validity and reliability, making it suitable for assessing suicidal attempts and thoughts in individuals with mental health diagnoses and for distinguishing between active and passive suicidal ideation. These findings require confirmation in other populations through future research.

Indexed as

Mental DisordersPsychiatric Status Rating ScalesSuicideAdultChinaFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSeverity of Illness IndexSuicidal IdeationSuicide, AttemptedYoung AdultColumbia-suicide severity rating scalePeople with mental health diagnosesPsychometric propertiesSuicidal behaviorSuicidal ideation

Identifiers

PMID40842006
PMCPMC12372189

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.