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Journal Article

Citation

Cantillano V, Del Villar P, Contreras L, Martinez D, Zuzulich MS, Ramírez C, Pons C, Bashford J. Drug Alcohol Depend. 2016; 170: 32-36.

Affiliation

School of Psychology, Massey University, Palmerston North, New Zealand.

Copyright

(Copyright © 2016, Elsevier Publishing)

DOI

10.1016/j.drugalcdep.2016.10.032

PMID

27866060

Abstract

BACKGROUND: In Chile, concerns mount about escalating cannabis use. Thus, it is important to have tools for early identification of at-risk users. The Cannabis Use Problems Identification Test (CUPIT) is a useful screening tool, and the aim of this study was to examine the psychometric properties of its Spanish version among Chilean university students.

METHODS: The CUPIT was translated into Spanish, pre-tested in a focus group (n=8), and then tested through an online survey (n=3798, 28% response rate). Of the 1061 respondents, 578 reported 12-month cannabis use. Internal reliability, internal structure, and concurrent validity (using the Cannabis Abuse Screening Test [CAST]) were obtained. Test-retest reliability was calculated (n=150) at 3-4 weeks (30% of attrition rate). Discriminative validity was evaluated comparing CUPIT subscales and four DSM-IV diagnostic groups. Receiving operator characteristic (ROC) curve analysis assessed sensitivity and specificity.

RESULTS: Test-retest Pearson correlation between total CUPIT scores of 0.90 (p<0.001), and highly significant Kendall Tau-b coefficients for individual items (p<0.001) indicated excellent reliability. Concordance between the CUPIT and CAST (Pearson correlation 0.73, p<0.001) indicated good concurrent validity. ANOVA revealed significant differences in CUPIT scores between the four DSM-IV diagnostic groups (p<0.001), indicative of good discriminative validity. ROC analysis (gold standard: DSM-IV abuse/dependence) yielded an AUC value of 0.72, indicating acceptable discriminative capability.

CONCLUSIONS: The Spanish CUPIT is reliable, valid, and accepted by the university population studied, and, thus, a potentially useful tool for identifying both problematic and at-risk users.

Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.


Language: en

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