Cocaine use disorder criteria in a clinical sample: an analysis using Item Response Theory, factor analysis, and network analysis. (4th May 2022)

• Record Type: Journal Article
• Authors: Sanchez-Garcia, M.; de la Rosa-Cáceres, A.; Díaz-Batanero, C.; Fernández-Calderón, F.; Lozano, O. M.
• Is Part Of: American journal of drug and alcohol abuse. Volume 48:Number 3(2022)
• Page Start: 284
• Page End: 292
• Publication Date: 2022-05-04
• Subjects: Substance use disorders -- nosology -- network analysis -- factor analysis -- item response theory -- severity of dependence; Drug abuse -- Treatment -- Periodicals; Alcoholism -- Treatment -- Periodicals; Substance-abuse -- Treatment -- Periodicals; Alcoholism -- Periodicals; Substance-Related Disorders -- Periodicals; 616.86
• DOI: 10.1080/00952990.2021.2012185
• Languages: English
• ISSNs: 0095-2990

Abstract

ABSTRACT: Background: The conceptualization of substance use disorders (SUDs) was modified in successive editions of the DSM. Dimensionality and inclusion/exclusion of several criteria was studied using various analytic approaches. Objective: The study aimed to deepen our knowledge of the interrelationships between the diagnostic criteria for cocaine use disorder (CUD), applying three different analytical techniques: factor analysis, Item Response Theory (IRT) models, and network analysis. Methods: 425 (85.4% male) outpatients were evaluated for CUD using the Substance Dependence Severity Scale. Confirmatory Factor Analysis, 2-parameter logistic model (IRT) and network analysis were applied to analyze the relationships between the diagnostic criteria. Results: The results show that "legal problems" criterion is not congruent with the CUD measure on three analyses. Also, network analysis suggests the usefulness of the "craving" criterion. The criterion "quit/control" is the one that presents the best centrality indices and expected influence, showing strong relationships with the criteria of "craving, " "tolerance, " "neglect roles" and "activities given up." Conclusions: Network analysis appears to be a useful and complementary technique to factor analysis and IRT for understanding CUD. The "quit/control" criterion emerges as a central criterion to understand CUD.