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Journal Article

Citation

Castaldelli-Maia JM, Silveira CM, Siu ER, Wang YP, Milhorança IA, Alexandrino-Silva C, Borges GLG, Viana MC, Andrade AG, Andrade LH, Martins SS. Drug Alcohol Depend. 2014; 136: 92-99.

Affiliation

Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA.

Copyright

(Copyright © 2014, Elsevier Publishing)

DOI

10.1016/j.drugalcdep.2013.12.012

PMID

24440273

Abstract

BACKGROUND: We aimed to identify different categorical phenotypes based upon the DSM-V criteria of alcohol use disorders (AUD) among alcohol users who had at least one drink per week in the past year (n=948). METHODS: Data are from the São Paulo Megacity Mental Health Survey collected in 2005-2007, as part of the World Mental Health Survey Initiative. A latent class analysis of the 11 DSM-5-AUD criteria was performed using Mplus, taking into account complex survey design features. Weighted logistic regression models were used to examine demographic correlates of the DSM-5-AUD latent classes. RESULTS: The best latent-class model was a three-class model. We found a "non-symptomatic class" (69.7%), a "use in larger amounts class" (23.2%), defined by high probability (>70%) of the "use in larger amounts" criterion only, and a "high-moderate symptomatic class" (7.1%), defined by high-moderate probability of all the 11 AUD criteria. Compared to those in the non-symptomatic class, individuals in the "high-moderate symptomatic class" were more likely to have been married, have lower educational attainment and to be unemployed or in non-regular/informal employment. Those on the "use in larger amounts class" were more likely to have been married or never married. CONCLUSION: The two symptomatic classes clearly represented the dimensionality of the new proposed AUD criteria, and could be more specifically targeted by different prevention or treatment strategies. DSM-5-AUD has the advantage of shedding light on risky drinkers included in the "use in larger amounts class", allowing for preventive interventions, which will reach a large number of individuals.


Language: en

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