An Empirically Based Typology of Alcohol Users in a Community Sample Using Latent Class Analysis

European Addiction Research
Zsolt HorváthRóbert Urbán

Abstract

Different classification models have been proposed to explain the heterogeneity of alcohol-related problems in general populations. Such models suggest quantitatively or qualitatively different symptom endorsement characteristics between subgroups of alcohol drinkers. The present study aimed to identify homogenous subgroups of drinkers in a general population sample in addition to examining the relationship between the subgroups and psychopathological symptoms. Data of past-year alcohol users (n = 1,520) were analyzed from the nationally representative sample of the National Survey on Addiction Problems in Hungary 2015. Latent class analysis (LCA) was conducted to identify subgroups of drinkers based on the dichotomous indicator items of the Alcohol Use Disorders Identification Test questionnaire. Multinomial logistic regression and multiple comparisons were performed to explore the relationship between latent classes and socio-demographical variables and psychopathological symptoms. LCA suggested a 3-class model: "Light alcohol drinkers" (71.6%), "Alcohol drinkers with low risk of dependence" (19.3%), and "Alcohol drinkers with severe dependence symptoms" (9.1%). More severe subgroups showed significantly higher level of anxie...Continue Reading

Citations

Feb 16, 2021·Alcohol and Alcoholism : International Journal of the Medical Council on Alcoholism·Maria J E SchoutenMatthijs Blankers

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