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1.
Drugs (Abingdon Engl) ; 31(2): 271-281, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38682086

RESUMO

The highly heterogeneous nature of alcohol use and problems has presented significant challenges to those attempting to understand, treat or prevent what is commonly termed alcohol use disorder (AUD). However, any attempts to capture this complex phenomenon, including the various current criterion of AUD, come with a number of limitations. One particular limitation has been how alcohol problems are represented or understood in ways which do not capture the broad spectrum of alcohol use and harms and the many potential routes to prevention, treatment, and recovery. One possible response to this has been proposed as more explicitly framing or conceptualizing a continuum model of alcohol use and harms. In this commentary, we attempt to identify the key implications of a continuum model for policy and practice, examining the historical and current context of alcohol problem classifications and models. We argue a continuum model of alcohol use and problems holds a number of advantages for advancing public health goals, but also some potential limitations, both of which require further examination.

2.
Alcohol Clin Exp Res (Hoboken) ; 47(11): 2184-2196, 2023 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-38226750

RESUMO

BACKGROUND: Heavy alcohol use in college is associated with a risk of developing alcohol use disorder. Characterizing variability in individual risk factors for alcohol use could help mitigate risk by informing personalized approaches to prevention. This study examined the validity of a brief measure for identifying reward/relief drinking phenotypes in non-treatment-seeking young adults. METHODS: College students (n = 454) who reported binge drinking completed the Drinking Motives Questionnaire-Revised-Short Form (DMQ-R-SF). Confirmatory factor and latent profile analyses (CFA; LPA) of the DMQ-R-SF were performed to assess structural validity and identify reward/relief drinking subgroups. We compared models measuring reward drinking with the DMQ-R-SF enhancement motives (reward-enhancement) subscale to models measuring reward drinking with enhancement and social motives (reward-enhancement/social). Across models, relief drinking was measured with coping motives. We examined associations between reward/relief drinking subgroups and alcohol and personality variables concurrently and prospectively at a 6-week follow-up. RESULTS: A two-factor reward and relief structure of the DMQ-R-SF was supported. Three latent profiles were identified (low reward/low relief: n = 133, high reward/low relief: n = 249; high reward/high relief: n = 72). Both CFA and LPA models that utilized reward-enhancement/social items indicated a better fit than reward-enhancement items alone. At baseline, individuals in the high-reward/high-relief profile demonstrated the poorest alcohol use outcomes and higher negative affect. Those in the high-reward/low-relief profile demonstrated greater alcohol use severity than those in the low-reward/low-relief profile. Prospectively, individuals classified in the high-reward/low-relief subgroup reported greater binge drinking frequency and those in the high-reward/high-relief profile reported greater alcohol consequences. CONCLUSIONS: The DMQ-R-SF is a valid measure for identifying reward and relief drinking subgroups in college students with binge drinking and could have utility for precision prevention efforts that target individuals in the high-reward/low-relief and high-reward/high-relief subgroups.

3.
Sci Adv ; 5(9): eaax4043, 2019 09.
Artigo em Inglês | MEDLINE | ID: mdl-31579824

RESUMO

Alcohol is a major contributor to global disease and a leading cause of preventable death, causing approximately 88,000 deaths annually in the United States alone. Alcohol use disorder is one of the most common psychiatric disorders, with nearly one-third of U.S. adults experiencing alcohol use disorder at some point during their lives. Alcohol use disorder also has economic consequences, costing the United States at least $249 billion annually. Current pharmaceutical and behavioral treatments may assist patients in reducing alcohol use or facilitating alcohol abstinence. Although recent research has expanded understanding of alcohol use disorder, more research is needed to identify the neurobiological, genetic and epigenetic, psychological, social, and environmental factors most critical in the etiology and treatment of this disease. Implementation of this knowledge in clinical practice and training of health care providers is also needed to ensure appropriate diagnosis and treatment of individuals suffering from alcohol use disorder.


Assuntos
Alcoolismo/etiologia , Alcoolismo/terapia , Alcoolismo/diagnóstico , Alcoolismo/metabolismo , Biomarcadores , Ensaios Clínicos como Assunto , Terapia Combinada , Diagnóstico Diferencial , Gerenciamento Clínico , Suscetibilidade a Doenças , Humanos , Reforço Psicológico , Pesquisa , Resultado do Tratamento
4.
Psychol Assess ; 13(4): 543-8, 2001 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-11793897

RESUMO

The cumulative percentage frequencies are presented for differences among reliable component analysis (RCA) scores for the verbal comprehension, perceptual organization, freedom from distractibility, and processing speed constructs assessed by the Wechsler Intelligence Scale for Children--Third edition (WISC-III) for the standardization sample and a learning disabled sample. Using RCA scores to form differences has several advantages over traditional equally weighted scores for the WISC-III. J. C. Caruso and N. Cliff (2000) presented tables to assess the statistical significance of differences among the RCA scores for the WISC-III. It is important, however, to use a dual approach in interpreting difference scores; both the statistical significance of a difference and the frequency with which it occurred in a relevant comparison group should be determined. This article contains the information necessary for practitioners to use the recommended dual approach to interpreting RCA difference scores for the WISC-III.


Assuntos
Inteligência , Deficiências da Aprendizagem/diagnóstico , Escalas de Wechsler/estatística & dados numéricos , Adolescente , Criança , Feminino , Humanos , Deficiências da Aprendizagem/psicologia , Masculino , Psicometria , Valores de Referência , Reprodutibilidade dos Testes
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