title: Empirical derived AUD sub types in the US general population: a latent class analysis.
abstract: OBJECTIVE
  This study examined the homogenous expression of DSM-5-based alcohol use disorder (AUD) latent subtypes.
  
  
  METHODS
  Using data from the National Epidemiologic Survey of Alcohol and Related Conditions Wave 2 (n = 22,177) the typology was established utilising latent class analysis and the model was further validated by multivariate regression on a range of covariates.
  
  
  RESULTS
  Three AUD classes based on a severity gradient and one non-problematic class were the most parsimonious description of the data. These classes displayed both quantitative and qualitative differences on the covariates.
  
  
  CONCLUSIONS
  The resulting typology has high clinical utility, enhances AUD classification and adds to our understanding of AUD trajectories, prevention and treatment.
authors: School of Psychology, University of Ulster, Magee Campus, Co. Londonderry, N. Ireland, BT48 7JL, UK. casey-M4@email.ulster.ac.uk
authors: Martina
authors: M
authors: Casey
authors: Gary
authors: G
authors: Adamson
authors: Maurice
authors: M
authors: Stringer
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D019973:Alcohol-Related Disorders / Q000145:classification* / Q000453:epidemiology; D039721:Diagnostic and Statistical Manual of Mental Disorders; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D012959:Socioeconomic Factors; D014481:United States / Q000453:epidemiology; D055815:Young Adult
keywords: Addiction; Alcohol disorders; Comorbidity; DSM-5 Classification; LCA; National Epidemiologic Survey on Alcohol and Related Conditions (NESARC)