@article{ref1,
title="Identification of suicidality by Five-Item Suicide Crisis Scale (SCS-5) in an online general population survey in Taiwan",
journal="Journal of suicidology (Taipei)",
year="2022",
author="Wu, Chia-Yi and Lee, Jia-In and Lee, Ming-Been and Rogers, Megan L. and Chan, Chia-Ta and Chen, Chun-Ying and Richards, Jenelle and Galynker, Igor",
volume="17",
number="4",
pages="342-351",
abstract="BACKGROUND: Suicide crisis syndrome (SCS) was defined as a pre-suicidal mental condition comprising five components of affective disturbances, loss of cognitive control, hyperarousal, social withdrawal and entrapment. A revised Suicide Crisis Inventory (SCI-2) for assessing SCS has been validated to identify recent week suicidal ideation (SI) in Taiwan. The study aimed to develop and validate a shorter form of SCI-2 named five-item suicide crisis scale (SCS-5) to detect SCS and suicidality.<br><br>METHOD: An anonymous online questionnaire survey was conducted on psychopathology and associated suicide risks among community residents. The participants were enrolled online and completed the survey questions including demographics, SCI-2, 5-item Brief Symptom Rating Scale (BSRS-5) and Suicide Narrative Inventory (SNI) to measure psychological distress as well as suicidality (i.e., SI and attempts). The SCS-5 contained five items derived from the SCI-2; each item had the highest correlation with the corresponding subscale of SCI-2. The factor structure and validity of the SCS-5 were examined using confirmatory factor analyses (CFA) and correlations with the SCI-2, BSRS-5, SNI and suicidality. Stepwise multiple regression and receiver operating characteristic (ROC) curve were performed to predict suicidal ideation.<br><br>RESULTS: A total of 4846 participants were eligible for analysis. <br><br>RESULTS of the one-factor CFA for SCS-5 indicated a good model fit. The SCS-5 demonstrated excellent internal consistency (Cronbach alpha:.92) and good correlations with all items of the BSRS-5, SNI and suicidality measures. Regression analysis revealed that all SCS-5 items significantly explained 28.0% of the variance of one-week SI. ROC curve indicated that the optimal cut-off (4/5) of the SCS-5 could significantly differentiate the one-week SI. <br><br>CONCLUSION: The study revealed that the SCS-5 performed satisfactory psychometric properties to identify recent SI among the general adult population in Taiwan. Its predictive validity for future suicide behaviors in different clinical settings needs further investigation.<p /> <p>Language: zh</p>",
language="zh",
issn="2790-1645",
doi="10.30126/JoS.202212_17(4).0003",
url="http://dx.doi.org/10.30126/JoS.202212_17(4).0003"
}