Literature DB >> 23954945

Empirical derived AUD sub types in the US general population: a latent class analysis.

Martina Casey1, Gary Adamson, Maurice Stringer.   

Abstract

AIMS: This study examined the homogenous expression of DSM-5-based alcohol use disorder (AUD) latent subtypes.
METHOD: 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.
© 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Addiction; Alcohol disorders; Comorbidity; DSM-5 Classification; LCA; National Epidemiologic Survey on Alcohol and Related Conditions (NESARC)

Mesh:

Year:  2013        PMID: 23954945     DOI: 10.1016/j.addbeh.2013.06.022

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  7 in total

1.  Different Characteristics and Heritabilities of Alcohol Use Disorder Classes: A Population-Based Swedish Study.

Authors:  E C Long; H Ohlsson; J Sundquist; K Sundquist; K S Kendler
Journal:  Alcohol Alcohol       Date:  2019-12-01       Impact factor: 2.826

2.  Using Factor Mixture Models to Evaluate the Type A/B Classification of Alcohol Use Disorders in a Heterogeneous Treatment Sample.

Authors:  Tom Hildebrandt; Elizabeth E Epstein; Robyn Sysko; Donald A Bux
Journal:  Alcohol Clin Exp Res       Date:  2017-03-30       Impact factor: 3.455

3.  Latent classes of alcohol problems in Mauritian men: Results from the Joint Child Health Project.

Authors:  Susan E Luczak; Carol A Prescott; Peter H Venables
Journal:  Drug Alcohol Rev       Date:  2017-03-23

4.  Applying network analysis to investigate substance use symptoms associated with drug overdose.

Authors:  Polly F Ingram; Allen J Bailey; Peter R Finn
Journal:  Drug Alcohol Depend       Date:  2022-03-15       Impact factor: 4.852

Review 5.  The National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) Waves 1 and 2: review and summary of findings.

Authors:  Deborah S Hasin; Bridget F Grant
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2015-07-26       Impact factor: 4.328

6.  Heterogeneity in DSM-5 Symptom Criteria: Phenotypes of Alcohol Use Disorder in a Sample Seeking Alcohol Treatment.

Authors:  Junru Zhao; Braden Linn; Clara Bradizza; Joseph Lucke; Melanie Ruszczyk; Paul Stasiewicz
Journal:  Alcohol Alcohol       Date:  2021-10-29       Impact factor: 2.826

7.  Dynamic Features of Problematic Drinking: Alcohol Use Disorder Latent Classes Across Ages 18-64.

Authors:  Ashley N Linden-Carmichael; John J Dziak; Stephanie T Lanza
Journal:  Alcohol Alcohol       Date:  2019-01-01       Impact factor: 2.826

  7 in total

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