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Drug Alcohol Depend ; 136: 92-9, 2014 Mar 01.
Article in English | MEDLINE | ID: mdl-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.


Subject(s)
Alcoholism/epidemiology , Alcoholism/psychology , Adolescent , Adult , Alcohol Drinking/epidemiology , Alcohol Drinking/psychology , Brazil/epidemiology , Data Interpretation, Statistical , Diagnostic and Statistical Manual of Mental Disorders , Educational Status , Female , Health Surveys , Humans , Male , Mental Health , Middle Aged , Prevalence , Socioeconomic Factors , Urban Population , Young Adult
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