Niu Lu, Feng Xia, Jia Zhouxin, Yu Yu, Zhou Liang
Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.
The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
Front Psychol. 2021 Feb 26;12:586391. doi: 10.3389/fpsyg.2021.586391. eCollection 2021.
This study aimed to test the psychometric properties of the suicide stroop task in a Chinese college population.
College students ( = 121) who were in the 1st-4th grade, fluent in Chinese, and without color blindness were recruited from a university in Guangzhou, China from September to December 2019. Participants were administered the suicide stroop task at baseline and 1-month follow-up.
The suicide stroop task showed excellent internal reliability (Cronbach's α ranged from 0.940 to 0.953). However, the suicide stroop task did not reveal suicide-related attentional biases among current suicide ideators and was not significantly associated with the severity of suicidal ideation, depression, hopelessness, nor anhedonia (all values > 0.05), indicating a lack of concurrent validity for the task. Additionally, the two-time data of interference scores could not generate intraclass correlation coefficients (ICCs) due to a negative average covariance among data, which indicated poor test-retest consistency for the task.
The results of this study did not support the use of the suicide stroop task on the identification of suicidal risk among Chinese college students. It is crucial to assess the psychometric properties of behavioral measures rigorously as self-report measures before large applications in clinical and community settings.
本研究旨在检验自杀斯特鲁普任务在中国大学生群体中的心理测量学特性。
于2019年9月至12月从中国广州的一所大学招募了1-4年级、汉语流利且无色盲的大学生(n = 121)。参与者在基线和1个月随访时接受自杀斯特鲁普任务。
自杀斯特鲁普任务显示出出色的内部信度(克朗巴哈α系数范围为0.940至0.953)。然而,自杀斯特鲁普任务在当前有自杀意念者中未显示出自杀相关的注意偏向,且与自杀意念的严重程度、抑郁、绝望或快感缺失均无显著关联(所有p值>0.05),表明该任务缺乏同时效度。此外,由于数据间平均协方差为负,干扰分数的两次数据无法生成组内相关系数(ICC),这表明该任务的重测一致性较差。
本研究结果不支持使用自杀斯特鲁普任务来识别中国大学生的自杀风险。在临床和社区环境中大量应用之前,像自我报告测量一样严格评估行为测量的心理测量学特性至关重要。