Literature DB >> 30556903

Heterogeneous Dose-Response Analyses of Alcohol Abuse and Dependence.

Paul J Gruenewald1, Christina Mair2.   

Abstract

BACKGROUND: Survey-based estimates of the prevalence of alcohol abuse, dependence, and disorders in the United States rely upon self-reports of drinking patterns (e.g., binge drinking), social problems (e.g., trouble at work), physiological responses to use (e.g., tolerance), and desistance from use (e.g., withdrawal). Diagnostic criteria derived from these reports enable prevalence estimates of abuse and dependence, but moderating structural relationships among symptom groups may lead some light and moderate drinkers to appear to exhibit an alcohol use disorder (AUD).
METHODS: A dynamic model of drinking and problems predicts that symptoms of dependence will moderate relationships between drinking measures and symptoms of abuse. Wave 1 National Epidemiologic Survey on Alcohol and Related Conditions data on DSM-IV diagnoses of abuse and dependence were used to test predictions from this model and assess whether moderating effects were observed among lighter and heavier drinkers (those who drink 1 to 3 vs. 4 or more drinks on average). A dose-response model that accounts for other known sources of risk heterogeneity related to drinking and problems enabled us to test these predictions.
RESULTS: As expected from previous work, symptoms of abuse and dependence and dependence criteria were nonlinearly related to drinking patterns; more symptom reports appeared and criteria were met among less frequent drinkers who drank more on each occasion and this pattern of dose-response was substantially moderated among heavier drinkers. Controlling for these effects, relationships between drinking and symptoms of abuse were moderated among respondents who met more dependence criteria. These effects were observed among both lighter and heavier drinkers.
CONCLUSIONS: Moderating relationships observed between measures of drinking, abuse, and dependence criteria among lighter and heavier drinkers suggest that the same etiologic forces are at play among all drinking groups. Greater symptoms of dependence among lighter drinkers may lead to greater reports of symptoms of abuse and an AUD diagnosis.
© 2018 by the Research Society on Alcoholism.

Entities:  

Keywords:  Abuse; Alcohol Use Disorder; DSM-IV; Dependence; Drinking Problems

Year:  2019        PMID: 30556903      PMCID: PMC6370497          DOI: 10.1111/acer.13940

Source DB:  PubMed          Journal:  Alcohol Clin Exp Res        ISSN: 0145-6008            Impact factor:   3.455


  23 in total

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2.  Sources of Misspecification Bias in Assessments of Risks Related to Alcohol Use.

Authors:  Paul J Gruenewald; Meme Wang-Schweig; Christina Mair
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Authors:  B F Grant; T C Harford; D A Dawson; P S Chou; R P Pickering
Journal:  Drug Alcohol Depend       Date:  1995-07       Impact factor: 4.492

9.  The Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV (AUDADIS-IV): reliability of alcohol consumption, tobacco use, family history of depression and psychiatric diagnostic modules in a general population sample.

Authors:  Bridget F Grant; Deborah A Dawson; Frederick S Stinson; Patricia S Chou; Ward Kay; Roger Pickering
Journal:  Drug Alcohol Depend       Date:  2003-07-20       Impact factor: 4.492

10.  Impacts of New Zealand's lowered minimum purchase age on context-specific drinking and related risks.

Authors:  Paul J Gruenewald; Andrew J Treno; William R Ponicki; Taisia Huckle; Li-Chia Yeh; Sally Casswell
Journal:  Addiction       Date:  2015-08-04       Impact factor: 6.526

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1.  Microecological Relationships Between Area Income, Off-Premise Alcohol Outlet Density, Drinking Patterns, and Alcohol Use Disorders: The East Bay Neighborhoods Study.

Authors:  Christina Mair; Natalie Sumetsky; Paul J Gruenewald; Juliet P Lee
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2.  Design and outcome measures for the AB InBev Global Smart Drinking Goals evaluation.

Authors:  Ted R Miller; Christopher L Ringwalt; Joel W Grube; Mallie J Paschall; Deborah A Fisher; Mary V Gordon
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