{"title":"积极和消极自杀意念(PANSI)量表:作为尼日利亚大学生自杀风险筛选工具的初始心理测量属性","authors":"O. Aloba, Sunday Adefemi, Tolulope Aloba","doi":"10.1177/1179557317751910","DOIUrl":null,"url":null,"abstract":"Objective: The objective of this study is to examine the factor structure, validity, reliability, and the screening properties as a suicide risk assessment tool of the 14-item Positive and Negative Suicide Ideation (PANSI) in a nonclinical sample of Nigerian university students. Methods: A total of 514 students completed the PANSI, in addition to the Beck Depression Inventory-II (BDI-II) and the General Health Questionnaire-12 (GHQ-12). Results: Prior to the factor analysis, the sample was randomly divided into two. In one half of the sample (sample 1), exploratory factor analysis of the inventory yielded a 2-factor model (Negative Suicide Ideation [PANSI-NSI] and Positive Ideation [PANSI-PI]), whereas confirmatory factor analysis in the other half (sample 2) produced a 2-factor model with indices of fitness that indicated a satisfactory model fit (c2 = 93.8; df = 67; χ2/degree of freedom = 1.400; P = .017; goodness of fit index = 0.951; Tucker-Lewis index = 0.964; comparative fit index = 0.974; root mean square error of approximation = 0.040). The internal consistencies of the items of the PANSI-PI and PANSI-NSI subscales were 0.75 and 0.79, respectively. The construct validity of the 2 subscales was modestly satisfactory: PANSI-PI had negative correlations with the GHQ-12 (r = −.239, P < .001) and the BDI-II (r = −.190, P < .001), whereas the PANSI-NSI had positive correlations with the GHQ-12 (r = .248, P < .001) and the BDI-II (r = .376, P < .001). In addition, a cutoff total score of 17 on the PANSI-NSI was associated with the best sensitivity (80.0%) and specificity (92.5%) in the identification of those students who endorsed experiencing suicidal ideation (area under the curve = 0.82, 95% confidence interval = 0.58-1.00). Conclusions: The PANSI has exhibited satisfactory psychometric properties as a self-rated suicidal behavior assessment instrument in the evaluation of the positive and negative thoughts associated with suicidal ideation among Nigerian university students.","PeriodicalId":10437,"journal":{"name":"Clinical Medicine Insights: Psychiatry","volume":"76 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Positive and Negative Suicide Ideation (PANSI) Inventory: Initial Psychometric Properties as a Suicide Risk Screening Tool Among Nigerian University Students\",\"authors\":\"O. Aloba, Sunday Adefemi, Tolulope Aloba\",\"doi\":\"10.1177/1179557317751910\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: The objective of this study is to examine the factor structure, validity, reliability, and the screening properties as a suicide risk assessment tool of the 14-item Positive and Negative Suicide Ideation (PANSI) in a nonclinical sample of Nigerian university students. Methods: A total of 514 students completed the PANSI, in addition to the Beck Depression Inventory-II (BDI-II) and the General Health Questionnaire-12 (GHQ-12). Results: Prior to the factor analysis, the sample was randomly divided into two. In one half of the sample (sample 1), exploratory factor analysis of the inventory yielded a 2-factor model (Negative Suicide Ideation [PANSI-NSI] and Positive Ideation [PANSI-PI]), whereas confirmatory factor analysis in the other half (sample 2) produced a 2-factor model with indices of fitness that indicated a satisfactory model fit (c2 = 93.8; df = 67; χ2/degree of freedom = 1.400; P = .017; goodness of fit index = 0.951; Tucker-Lewis index = 0.964; comparative fit index = 0.974; root mean square error of approximation = 0.040). The internal consistencies of the items of the PANSI-PI and PANSI-NSI subscales were 0.75 and 0.79, respectively. The construct validity of the 2 subscales was modestly satisfactory: PANSI-PI had negative correlations with the GHQ-12 (r = −.239, P < .001) and the BDI-II (r = −.190, P < .001), whereas the PANSI-NSI had positive correlations with the GHQ-12 (r = .248, P < .001) and the BDI-II (r = .376, P < .001). In addition, a cutoff total score of 17 on the PANSI-NSI was associated with the best sensitivity (80.0%) and specificity (92.5%) in the identification of those students who endorsed experiencing suicidal ideation (area under the curve = 0.82, 95% confidence interval = 0.58-1.00). 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引用次数: 11
摘要
目的:本研究的目的是检验尼日利亚大学生14项积极和消极自杀意念量表(PANSI)作为自杀风险评估工具的因素结构、效度、信度和筛选特性。方法:共514名学生完成了PANSI,以及贝克抑郁量表- ii (BDI-II)和一般健康问卷-12 (GHQ-12)。结果:在进行因子分析之前,将样本随机分为两组。在一半的样本(样本1)中,探索性因子分析得出了一个双因素模型(消极自杀意念[psi - nsi]和积极自杀意念[psi - pi]),而在另一半样本(样本2)中,验证性因子分析得出了一个双因素模型,其适应度指数表明模型拟合满意(c2 = 93.8;df = 67;χ2/自由度= 1.400;p = 0.017;拟合优度指数= 0.951;Tucker-Lewis指数= 0.964;比较拟合指数= 0.974;近似均方根误差= 0.040)。passi - pi和passi - nsi分量表各条目的内部一致性分别为0.75和0.79。两个分量表的构念效度一般令人满意:PANSI-PI与GHQ-12呈负相关(r =−)。239, P < 0.001)和BDI-II (r =−。190, P < .001),而PANSI-NSI与GHQ-12呈正相关(r =。248, P < .001)和BDI-II (r =。376, p < .001)。此外,psi - nsi的截止总分为17分,在识别认可有自杀意念的学生方面具有最佳的敏感性(80.0%)和特异性(92.5%)(曲线下面积= 0.82,95%可信区间= 0.58-1.00)。结论:PANSI作为一种自评自杀行为评估工具,在评估尼日利亚大学生与自杀意念相关的积极和消极思想方面表现出令人满意的心理测量学特性。
Positive and Negative Suicide Ideation (PANSI) Inventory: Initial Psychometric Properties as a Suicide Risk Screening Tool Among Nigerian University Students
Objective: The objective of this study is to examine the factor structure, validity, reliability, and the screening properties as a suicide risk assessment tool of the 14-item Positive and Negative Suicide Ideation (PANSI) in a nonclinical sample of Nigerian university students. Methods: A total of 514 students completed the PANSI, in addition to the Beck Depression Inventory-II (BDI-II) and the General Health Questionnaire-12 (GHQ-12). Results: Prior to the factor analysis, the sample was randomly divided into two. In one half of the sample (sample 1), exploratory factor analysis of the inventory yielded a 2-factor model (Negative Suicide Ideation [PANSI-NSI] and Positive Ideation [PANSI-PI]), whereas confirmatory factor analysis in the other half (sample 2) produced a 2-factor model with indices of fitness that indicated a satisfactory model fit (c2 = 93.8; df = 67; χ2/degree of freedom = 1.400; P = .017; goodness of fit index = 0.951; Tucker-Lewis index = 0.964; comparative fit index = 0.974; root mean square error of approximation = 0.040). The internal consistencies of the items of the PANSI-PI and PANSI-NSI subscales were 0.75 and 0.79, respectively. The construct validity of the 2 subscales was modestly satisfactory: PANSI-PI had negative correlations with the GHQ-12 (r = −.239, P < .001) and the BDI-II (r = −.190, P < .001), whereas the PANSI-NSI had positive correlations with the GHQ-12 (r = .248, P < .001) and the BDI-II (r = .376, P < .001). In addition, a cutoff total score of 17 on the PANSI-NSI was associated with the best sensitivity (80.0%) and specificity (92.5%) in the identification of those students who endorsed experiencing suicidal ideation (area under the curve = 0.82, 95% confidence interval = 0.58-1.00). Conclusions: The PANSI has exhibited satisfactory psychometric properties as a self-rated suicidal behavior assessment instrument in the evaluation of the positive and negative thoughts associated with suicidal ideation among Nigerian university students.