Suppr超能文献

大麻滥用筛查测试与 DSM-5 在普通人群中的应用:使用多元因子分析得出最佳截断值和潜在的共同结构。

The Cannabis Abuse Screening Test and the DSM-5 in the general population: Optimal thresholds and underlying common structure using multiple factor analysis.

机构信息

Division recueil et traitement de l'information, Institut national de la statistique et des études économiques (Insee), Paris, France.

CESP, Faculté de médecine, Université Paris Sud, Faculté de médecine UVSQ, INSERM, Université Paris-Saclay, Villejuif, France.

出版信息

Int J Methods Psychiatr Res. 2018 Jun;27(2):e1597. doi: 10.1002/mpr.1597. Epub 2017 Nov 10.

Abstract

The Cannabis Abuse Screening Test (CAST) aims at screening the problematic use of cannabis. It has never been validated against the Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 and its relationships with this latter have never been studied. We used a probabilistic telephone survey collected in 2014 (1351 past-year cannabis users aged 15-64) implementing the CAST and a DSM-5 adaptation of the Munich Composite International Diagnostic Interview assessing cannabis use disorders. Data were weighted, and CAST items were considered categorical. Factorial structures were assessed with confirmatory factor analyses; the relationships between the instruments were studied with multiple factor analysis (MFA). One factor for the DSM-5 and two correlated factors for the CAST were the best confirmatory factor analyses solutions. The CAST thresholds for screening moderate/severe and severe cannabis use disorders were 5 (sensitivity = 78.2% and specificity = 79.6%) and 8 (sensitivity = 86.0% and specificity = 86.7%), respectively. The MFA identified two orthogonal dimensions: The first was equally shared by both instruments; the second was the second CAST dimension (extreme frequencies of use before midday and alone, memory problems, and reproaches from friends/family). The CAST structure and screening properties were confirmed. The MFA explains its screening performances by its first dimension and identified the problematic patterns (the second dimension) that are not captured by the DSM-5.

摘要

大麻滥用筛查测试(CAST)旨在筛查大麻的问题使用情况。它从未针对《精神障碍诊断与统计手册》第 5 版(DSM-5)进行过验证,也从未研究过它与 DSM-5 的关系。我们使用了 2014 年进行的概率性电话调查(1351 名过去一年的 15-64 岁大麻使用者),实施了 CAST 和 DSM-5 改编的慕尼黑综合国际诊断访谈,以评估大麻使用障碍。数据经过加权处理,CAST 项目被视为分类。使用验证性因素分析评估了因子结构;使用多因素分析(MFA)研究了这些工具之间的关系。DSM-5 的一个因子和 CAST 的两个相关因子是最佳的验证性因素分析解决方案。CAST 筛查中/重度和重度大麻使用障碍的阈值分别为 5(敏感性为 78.2%,特异性为 79.6%)和 8(敏感性为 86.0%,特异性为 86.7%)。MFA 确定了两个正交维度:第一个维度由两个工具共同共享;第二个维度是 CAST 的第二个维度(中午前和独自使用的极端频率、记忆问题和来自朋友/家人的责备)。CAST 的结构和筛查特性得到了确认。MFA 通过其第一个维度解释了其筛查性能,并确定了 DSM-5 无法捕捉到的问题模式(第二个维度)。

相似文献

2
Properties of the Cannabis Abuse Screening Test (CAST) in the general population.
Int J Methods Psychiatr Res. 2015 Jun;24(2):170-83. doi: 10.1002/mpr.1465.
3
A validation of the Cannabis Abuse Screening Test (CAST) using a latent class analysis of the DSM-IV among adolescents.
Int J Methods Psychiatr Res. 2013 Mar;22(1):16-26. doi: 10.1002/mpr.1378. Epub 2013 Mar 21.
4
Psychometric properties of the CAST and SDS scales in young adult cannabis users.
Addict Behav. 2012 Jun;37(6):709-15. doi: 10.1016/j.addbeh.2012.02.012. Epub 2012 Feb 17.
5
Optimal scaling of the CAST and of SDS Scale in a national sample of adolescents.
Addict Behav. 2013 Apr;38(4):2060-7. doi: 10.1016/j.addbeh.2012.12.016. Epub 2012 Dec 28.
6
Psychometric properties of the Cannabis Abuse Screening Test (CAST) in a French sample of adolescents.
Drug Alcohol Depend. 2011 Jan 15;113(2-3):229-35. doi: 10.1016/j.drugalcdep.2010.08.011.
7
Validation of the Cannabis Abuse Screening Test in a sample of cannabis inpatients.
Eur Addict Res. 2012;18(4):193-200. doi: 10.1159/000336553. Epub 2012 Mar 31.
8
Age Invariance of the Cannabis Abuse Screening Test in a Probabilistic Sample of Cannabis Users.
Eur Addict Res. 2018;24(1):37-42. doi: 10.1159/000487480. Epub 2018 Mar 1.
10

引用本文的文献

3
The hidden risk factors behind of suicidal behavior in medical students: a cross-sectional cohort study in Mexico.
Front Psychiatry. 2025 Mar 5;16:1505088. doi: 10.3389/fpsyt.2025.1505088. eCollection 2025.
4
Cannabis use, mental health, and problematic Internet use in Quebec: A study protocol.
PLoS One. 2024 Jun 3;19(6):e0304697. doi: 10.1371/journal.pone.0304697. eCollection 2024.
8
The mediating effect of anger rumination, coping and conformity motives on the association between hostility and problematic cannabis use.
Addict Behav Rep. 2022 Jul 9;16:100447. doi: 10.1016/j.abrep.2022.100447. eCollection 2022 Dec.
10
The gendered relationship between illicit substance use and self-harm in university students.
Soc Psychiatry Psychiatr Epidemiol. 2022 Apr;57(4):709-720. doi: 10.1007/s00127-021-02209-3. Epub 2022 Jan 16.

本文引用的文献

1
The Cannabis Abuse Screening Test (CAST) revisited: examining measurement invariance by age.
Int J Methods Psychiatr Res. 2017 Dec;26(4). doi: 10.1002/mpr.1529. Epub 2016 Oct 10.
2
Properties of the Cannabis Abuse Screening Test (CAST) in the general population.
Int J Methods Psychiatr Res. 2015 Jun;24(2):170-83. doi: 10.1002/mpr.1465.
4
DSM-5 cannabis use disorder: a phenotypic and genomic perspective.
Drug Alcohol Depend. 2014 Jan 1;134:362-369. doi: 10.1016/j.drugalcdep.2013.11.008. Epub 2013 Nov 16.
5
6
A validation of the Cannabis Abuse Screening Test (CAST) using a latent class analysis of the DSM-IV among adolescents.
Int J Methods Psychiatr Res. 2013 Mar;22(1):16-26. doi: 10.1002/mpr.1378. Epub 2013 Mar 21.
7
Optimal scaling of the CAST and of SDS Scale in a national sample of adolescents.
Addict Behav. 2013 Apr;38(4):2060-7. doi: 10.1016/j.addbeh.2012.12.016. Epub 2012 Dec 28.
8
Screening of cannabis-related problems among youth: the CPQ-A-S and CAST questionnaires.
Subst Abuse Treat Prev Policy. 2012 Apr 2;7:13. doi: 10.1186/1747-597X-7-13.
9
Psychometric properties of the CAST and SDS scales in young adult cannabis users.
Addict Behav. 2012 Jun;37(6):709-15. doi: 10.1016/j.addbeh.2012.02.012. Epub 2012 Feb 17.
10
The validity of DSM-IV cannabis abuse and dependence criteria in adolescents and the value of additional cannabis use indicators.
Addiction. 2011 Jun;106(6):1137-45. doi: 10.1111/j.1360-0443.2010.03359.x. Epub 2011 Mar 7.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验