A validation of the Cannabis Abuse Screening Test (CAST) using a latent class analysis of the DSM‐IV among adolescents. Issue 1 (21st March 2013)

• Record Type: Journal Article
• Authors: Legleye, Stéphane; Piontek, Daniela; Kraus, Ludwig; Morand, Elisabeth; Falissard, Bruno
• Is Part Of: International journal of methods in psychiatric research. Volume 22:Issue 1(2013:Mar.)
• Page Start: 16
• Page End: 26
• Publication Date: 2013-03-21
• Subjects: Psychiatry -- Research -- Methodology -- Periodicals; Psychiatry -- Periodicals; 616.890072
• DOI: 10.1002/mpr.1378
• Languages: English
• ISSNs: 1049-8931

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <p>This paper explored the latent class structure of the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM‐IV) (assessed with the Munich Composite International Diagnostic Interview). Secondly, the screening properties of the Cannabis Abuse Screening Test (CAST) in adolescents were assessed with classical test theory using the latent class structure as empirical gold standard. The sample comprised 3266 French cannabis users aged 17 to 19 from the general population. Three latent classes of cannabis users were identified reflecting a continuum of problem severity: <italic>non‐symptomatic</italic>, <italic>moderate</italic> and <italic>severe</italic>. Gender‐specific analyses showed the best model fit, although results were almost identical in the total sample. The latent classes were good predictors of daily cannabis use, number of joints per day and age of first experimentation. The CAST showed good screening properties for the <italic>moderate</italic>/<italic>severe</italic> class (area under receiver operating characteristic curve > 0.85) and very good for the <italic>severe</italic> class (0.90). It was more sensitive for boys, more specific for girls. Although structural equivalence across gender was rejected, results suggest small gender differences in the latent structure of the DSM‐IV. The performance of the CAST in screening for the latent class structure was good and superior to those obtained with the classical DSM‐IV diagnoses. <italic>Copyright © 2013 John Wiley & Sons, Ltd.</italic></p> </abstract>