Department of Pharmacology, Faculty of Medicine, Rabigh, King Abdulaziz University, Jeddah, Saudi Arabia.
Department of Pharmacology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
J Psychoactive Drugs. 2022 Nov-Dec;54(5):482-489. doi: 10.1080/02791072.2021.2013580. Epub 2021 Dec 27.
The Drug Abuse Screening Test-10 (DAST-10) is a valid and reliable screening tool for drug use-related problems, however there is no Arabic version. To our knowledge, this is the first study to develop and validate an Arabic DAST-10 version. Saudi young adults participated in the study as two groups; drug users (n=360) recruited from Alamal Complex for Mental Health, Jeddah, and drug non-users (n=100). Three measures were used: (1) Demographic and drug use description questionnaire, (2) Arabic DAST-10 version, and (3) Urine analysis for drug use. The developed Arabic DAST-10 version demonstrated adequate internal consistency. High correlations were shown between its scores and the two standard measures (urine analysis and self-reporting question) indicating good criterion validity. Sensitivity and specificity values were between 91.5 - 99.7% and 57 - 92.5% with different DAST-10 cutoff values. An optimal performance at a cutoff score of 3 or more was most likely to significantly identify drug users. Discriminant analysis showed that more than 90% of cases were correctly classified. Distribution of participants in categories of DAST-10 scores according to degree of problems was reasonable. It is concluded that the developed Arabic DAST-10 version is a reliable and valid screening tool for drug use-related problems in Arabic speakers.
药物滥用筛查测试-10 版(DAST-10)是一种用于药物使用相关问题的有效且可靠的筛查工具,但没有阿拉伯语版本。据我们所知,这是首次开发和验证阿拉伯语 DAST-10 版本的研究。沙特阿拉伯的年轻成年人作为两个群体参与了这项研究:一组是吸毒者(n=360),他们是从吉达的 Alamal 心理健康综合大楼招募的;另一组是药物非使用者(n=100)。使用了三种措施:(1)人口统计学和药物使用描述问卷,(2)阿拉伯语 DAST-10 版本,(3)尿液分析用于药物使用。开发的阿拉伯语 DAST-10 版本显示出足够的内部一致性。其得分与两个标准测量(尿液分析和自我报告问题)之间显示出高度相关性,表明具有良好的准则有效性。不同 DAST-10 截断值的灵敏度和特异性值在 91.5 - 99.7%和 57 - 92.5%之间。截断分数为 3 或更高时,表现最佳,最有可能显著识别吸毒者。判别分析表明,超过 90%的病例被正确分类。根据问题严重程度对参与者在 DAST-10 分数类别中的分布是合理的。研究得出结论,开发的阿拉伯语 DAST-10 版本是一种用于阿拉伯语使用者药物使用相关问题的可靠且有效的筛查工具。