A two-factor structure for cannabis use disorder identification test and its associations with demographic factors and cannabis use motives

The results suggest that the CUDIT-R scale is best represented by two factors: Use Intensity (Cronbach's <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>α</mml:mi></mml:mrow> </mml:math> = 0.71) and Awareness of Problematic Use (Cronbach's <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>α</mml:mi></mml:mrow> </mml:math> = 0.72). Use Intensity was lowest for younger women, and younger participants were more aware of negative effects. Gender, age, and use motives uniquely relate with both CUDIT-R factors, highlighting the CUDIT-R's potential to guide early identification and treatment of individuals at risk for CUD.

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Publication Details

Journal
Advances in Drug and Alcohol Research
Published
2026-03-02
DOI
https://doi.org/10.3389/adar.2026.16094
Primary Topic
Cannabis and Cannabinoid Research
Type
article
Field-Weighted Citation Impact
0.00
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article

A two-factor structure for cannabis use disorder identification test and its associations with demographic factors and cannabis use motives

Carlos Nordt, Nadine Heckel, P. Dürler, Etna J. E. Engeli et al.
Advances in Drug and Alcohol Research
Cannabis and Cannabinoid Research
article

A two-factor structure for cannabis use disorder identification test and its associations with demographic factors and cannabis use motives

Carlos Nordt, Nadine Heckel, P. Dürler, Etna J. E. Engeli, Marcus Herdener
article en

Abstract

The results suggest that the CUDIT-R scale is best represented by two factors: Use Intensity (Cronbach's <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>α</mml:mi></mml:mrow> </mml:math> = 0.71) and Awareness of Problematic Use (Cronbach's <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>α</mml:mi></mml:mrow> </mml:math> = 0.72). Use Intensity was lowest for younger women, and younger participants were more aware of negative effects. Gender, age, and use motives uniquely relate with both CUDIT-R factors, highlighting the CUDIT-R's potential to guide early identification and treatment of individuals at risk for CUD.

Advances in Drug and Alcohol ResearchVol. 6
University Psychiatric Hospital (SI)
Gender equality
Openalex Percentile: Top 37%
Cannabis and Cannabinoid Research
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