DSM-5 latent classes of alcohol users in a population-based sample: results from the São Paulo Megacity Mental Health Survey, Brazil

Drug Alcohol Depend. 2014 Mar 1:136:92-9. doi: 10.1016/j.drugalcdep.2013.12.012. Epub 2014 Jan 3.

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.

Keywords: Alcohol use disorders (AUD); Brazil; DSM-5 criteria; Latent class analysis; São Paulo.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Alcohol Drinking / epidemiology
  • Alcohol Drinking / psychology
  • Alcoholism / epidemiology*
  • Alcoholism / 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