Luming Liu , Wenchao Wang , Yang Li , Huimin Chen , Liying Zhang , Chao Song
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In Study 2, we explored key SCI-2 items associated with STB with machine-learning approaches. In sample 1 (<em>N</em> = 5296), we selected features based on the CFA results in study 1 and built four tree-based models. In sample 2 (<em>N</em> = 4844), we externally tested the models. Shapley Additive exPlanations (SHAP) values were used for model interpretation.</div></div><div><h3>Results</h3><div>The one-factor and five-factor models of the SCI-2 are both acceptable among Chinese college students, and SCI-2 showed good internal consistency as well as convergent validity with STB and other criteria. Meanwhile, the core symptoms within the entrapment and social withdrawal clusters of the SCI-2 showed higher SHAP values to STB.</div></div><div><h3>Conclusion</h3><div>The SCI-2 is suitable for assessing the imminent suicide risk among Chinese college students. Symptoms of entrapment and social withdrawal need additional attention.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"111 ","pages":"Article 104672"},"PeriodicalIF":4.5000,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The revised Suicide Crisis Inventory-2 (SCI-2) in Chinese college students: Examining factor structure and validity\",\"authors\":\"Luming Liu , Wenchao Wang , Yang Li , Huimin Chen , Liying Zhang , Chao Song\",\"doi\":\"10.1016/j.ajp.2025.104672\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>The situation of suicidal thoughts and behaviors (STB) among Chinese college students is concerning. The Suicide Crisis Inventory-2 (SCI-2), an assessment tool for suicide crisis syndrome (an imminent warning sign of STB), can effectively contribute to screening and preventing STB. However, the psychometric properties of the SCI-2 and its key items associated with STB have not been explored in Chinese college students.</div></div><div><h3>Methods</h3><div>We conducted two studies with a total of 11,620 Chinese college students included. In study 1 (<em>N</em> = 1480), we investigated the psychometric properties of the SCI-2 using confirmatory factor analyses (CFA) and other methods. In Study 2, we explored key SCI-2 items associated with STB with machine-learning approaches. In sample 1 (<em>N</em> = 5296), we selected features based on the CFA results in study 1 and built four tree-based models. In sample 2 (<em>N</em> = 4844), we externally tested the models. Shapley Additive exPlanations (SHAP) values were used for model interpretation.</div></div><div><h3>Results</h3><div>The one-factor and five-factor models of the SCI-2 are both acceptable among Chinese college students, and SCI-2 showed good internal consistency as well as convergent validity with STB and other criteria. Meanwhile, the core symptoms within the entrapment and social withdrawal clusters of the SCI-2 showed higher SHAP values to STB.</div></div><div><h3>Conclusion</h3><div>The SCI-2 is suitable for assessing the imminent suicide risk among Chinese college students. Symptoms of entrapment and social withdrawal need additional attention.</div></div>\",\"PeriodicalId\":8543,\"journal\":{\"name\":\"Asian journal of psychiatry\",\"volume\":\"111 \",\"pages\":\"Article 104672\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian journal of psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1876201825003156\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian journal of psychiatry","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1876201825003156","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
The revised Suicide Crisis Inventory-2 (SCI-2) in Chinese college students: Examining factor structure and validity
Background
The situation of suicidal thoughts and behaviors (STB) among Chinese college students is concerning. The Suicide Crisis Inventory-2 (SCI-2), an assessment tool for suicide crisis syndrome (an imminent warning sign of STB), can effectively contribute to screening and preventing STB. However, the psychometric properties of the SCI-2 and its key items associated with STB have not been explored in Chinese college students.
Methods
We conducted two studies with a total of 11,620 Chinese college students included. In study 1 (N = 1480), we investigated the psychometric properties of the SCI-2 using confirmatory factor analyses (CFA) and other methods. In Study 2, we explored key SCI-2 items associated with STB with machine-learning approaches. In sample 1 (N = 5296), we selected features based on the CFA results in study 1 and built four tree-based models. In sample 2 (N = 4844), we externally tested the models. Shapley Additive exPlanations (SHAP) values were used for model interpretation.
Results
The one-factor and five-factor models of the SCI-2 are both acceptable among Chinese college students, and SCI-2 showed good internal consistency as well as convergent validity with STB and other criteria. Meanwhile, the core symptoms within the entrapment and social withdrawal clusters of the SCI-2 showed higher SHAP values to STB.
Conclusion
The SCI-2 is suitable for assessing the imminent suicide risk among Chinese college students. Symptoms of entrapment and social withdrawal need additional attention.
期刊介绍:
The Asian Journal of Psychiatry serves as a comprehensive resource for psychiatrists, mental health clinicians, neurologists, physicians, mental health students, and policymakers. Its goal is to facilitate the exchange of research findings and clinical practices between Asia and the global community. The journal focuses on psychiatric research relevant to Asia, covering preclinical, clinical, service system, and policy development topics. It also highlights the socio-cultural diversity of the region in relation to mental health.