ABSTRACT
Objective: To improve the CAGE (Cut down, Annoyed, Guilty, Eye opener) questionnaire's predictive accuracy in screening college students. Participants: The sample consisted of 219 midwestern university students who self-administered a confidential survey. Methods: Exploratory factor analysis, confirmatory factor analysis, receiver operating characteristics (ROC), and Cronbach's alpha were used to analyze factor structure, validity, and reliability. Results: The modified CAGE correctly classified students with alcohol abuse (“AA students”; area under the curve [AUC] = 0.7765) and students with alcohol dependency (“AD students”; AUC = 0.8392) more often than CAGE (AA students: AUC = 0.6977; AD students: AUC = 0.7437), and these differences are statistically significant (AA students: χ2(1) = 14.72, p < .001; AD students: χ2(1) = 7.71, p < .01). Using 2-point cut scores, CAGE correctly identified 59.38% of AD students as AD, whereas the modified CAGE correctly identified 87% of AD students as AD. Using 1-point cut scores, CAGE correctly identified 65% AA students, whereas the modified CAGE identified 85.29%. Conclusions: The modified CAGE has better accuracy than CAGE in predicting AA and AD among college populations.
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Conflict of interest disclosure
The authors have no conflicts of interest to report. The authors confirm that the research presented in this article met the ethical guidelines, including adherence to the legal requirements, of the United States and received approval from the Institutional Review Board of the university from which the researchers sampled.
Funding
No funding was used to support this research and/or the preparation of the manuscript.