Alcohol use disorders (AUD) are often comorbid with other disorders with high levels of impairment, which is of relevance for the development and the progression of the disease. Evidence shows that AUD varies greatly with regard to its aetiology, which might lead to distinct clinical representations with important implications for treatment. The current study aimed to apply latent class analysis (LCA) techniques to investigate how comorbidity patterns in AUD vary with regard to specific explanatory factors.
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