This study examined the homogenous expression of DSM-5 based alcohol use disorder (AUD) latent subtypes.
Using data from the NESARC Wave 2 (n = 22,177) the typology was established utilising latent class analysis (LCA) and the model was further validated by multivariate regression on a range of covariates.
Three AUD classes based on a severity gradient and one non-problematic class was the most parsimonious description of the data. These classes displayed both quantitative and qualitative differences on the covariates.
The resulting typology has high clinical utility, enhances AUD classification and adds to our understanding of AUD trajectories, prevention and treatment.
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