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地震后斯坦福急性应激反应问卷最佳筛查阈值ROC分析
引用本文:温盛霖,陶炯,王相兰,郑俩荣,李雷俊,甘照宇,单鸿,张晋碚. 地震后斯坦福急性应激反应问卷最佳筛查阈值ROC分析[J]. 新医学, 2011, 42(11): 717-719,722
作者姓名:温盛霖  陶炯  王相兰  郑俩荣  李雷俊  甘照宇  单鸿  张晋碚
作者单位:中山大学附属第三医院医学心理教研室,510630
基金项目:广东省科技计划项目(2008B030301068)
摘    要:目的:评估地震后第2周转移安置点灾民的急性应激障碍(ASD).探讨斯坦福急性应激反应问卷(SASRQ)的最佳筛查阈值.方法:利用SASRQ对灾民223人进行评估,根据美国精神障碍诊断和统计手册第4版(DSM-IV)症状标准进行症状学分析,以此结果为状态变量,以SASRQ量表总分为检测变量得到ROC曲线,以曲线上约登指数最大点为SASRQ最佳筛查阈值.结果:16人(7.2%)符合DSM-IV的ASD症状学诊断标准.有分离症状69人(30.9%),创伤再体验症状98人(44.0%),回避症状70人(31.4%),焦虑或醒觉性增高症状117人(52.5%).ROC曲线下面积0.907 ±0.021 (95%CI:0.865 ~0.939),P<O.01.以SASRQ总分40分为阈值时约登指数最大(0.711),筛查敏感度为0.938,特异度为0.773.结论:地震后第2周灾民中ASD常见,40分可能是SASRQ的最佳筛查阳性阈值.

关 键 词:急性应激障碍  斯坦福急性应激反应问卷  ROC曲线  地震

Roc curve analysisia of optimal cutoff value of SASRQ for screening acute stress disorder after earthquake
WEN Sheng-lin , TAO Jiong , WANG Xiang-lan , ZHENG Liang-rong , LI Lei-jun , GAN Zhao-yu , SHAN Hong , ZHANG Jin-pei. Roc curve analysisia of optimal cutoff value of SASRQ for screening acute stress disorder after earthquake[J]. New Chinese Medicine, 2011, 42(11): 717-719,722
Authors:WEN Sheng-lin    TAO Jiong    WANG Xiang-lan    ZHENG Liang-rong    LI Lei-jun    GAN Zhao-yu    SHAN Hong    ZHANG Jin-pei
Affiliation:WEN Sheng-lin,TAO Jiong,WANG Xiang-lan,ZHENG Liang-rong,LI Lei-jun,GAN Zhao-yu,SHAN Hong,ZHANG Jin-pei.Department of Psychiatry,The third Affiliated Hospital of SUN Yat-sen University,Guangzhou 510630,China.
Abstract:Objective:To assess acute stress disoder(ASD) symptoms and study the optimal cutoff value of Stanford acute stress reaction questionnaire(SASRQ) among victims of earthquake in temporary settlements.Methods:Two hundred and twenty-three victims were randomly chosen and measured by SASRQ.Then data were analyzed according to symptom criteria of DSM-IV ASD,and the result of symptomatology analysis was taken as actual state variable of ROC curve and total score of SASRQ as the test variable.The point on ROC curve...
Keywords:Acute stress disorder  Stanford acute stress reaction questionnaire  ROC curve  Earthquake  
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