Using Factor Mixture Models to Evaluate the Type A/B Classification of Alcohol Use Disorders in a Heterogeneous Treatment Sample.
Alcohol Clin Exp Res
; 41(5): 987-997, 2017 May.
Article
em En
| MEDLINE
| ID: mdl-28247423
ABSTRACT
BACKGROUND:
The type A/B classification model for alcohol use disorders (AUDs) has received considerable empirical support. However, few studies examine the underlying latent structure of this subtyping model, which has been challenged as a dichotomization of a single drinking severity dimension. Type B, relative to type A, alcoholics represent those with early age of onset, greater familial risk, and worse outcomes from alcohol use.METHODS:
We examined the latent structure of the type A/B model using categorical, dimensional, and factor mixture models in a mixed-gender community treatment-seeking sample of adults with an AUD.RESULTS:
Factor analytic models identified 2 factors (drinking severity/externalizing psychopathology and internalizing psychopathology) underlying the type A/B indicators. A factor mixture model with 2 dimensions and 3 classes emerged as the best overall fitting model. The classes reflected a type A class and 2 type B classes (B1 and B2) that differed on the respective level of drinking severity/externalizing pathology and internalizing pathology. Type B1 had a greater prevalence of women and more internalizing pathology and B2 had a greater prevalence of men and more drinking severity/externalizing pathology. The 2-factor, 3-class model also exhibited predictive validity by explaining significant variance in 12-month drinking and drug use outcomes.CONCLUSIONS:
The model identified in this study may provide a basis for examining different sources of heterogeneity in the course and outcome of AUDs.Palavras-chave
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Base de dados:
MEDLINE
Assunto principal:
Alcoolismo
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Modelos Psicológicos
Tipo de estudo:
Etiology_studies
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Evaluation_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Adolescent
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Adult
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Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article