Literature DB >> 21797810

A prospective evaluation of how a low level of response to alcohol predicts later heavy drinking and alcohol problems.

Marc A Schuckit1, Tom L Smith, Ryan S Trim, Rhonda C Allen, Tsutomu Fukukura, Emily E Knight, Erin M Cesario, Sara A Kreikebaum.   

Abstract

BACKGROUND AND OBJECTIVES: Evaluations of how a genetically influenced characteristic, such as the low level of response (a low LR) to alcohol, relates to later heavy drinking and alcohol problems usually include environmental contributors. The best way to understand how LR works in the context of these additional characteristics is to study the process prospectively, but such analyses tend to be complex and the papers are sometimes cluttered with jargon. This report attempts to offer a more straightforward description of the results from such a prospective model of how a lower LR at age 20 relates to alcohol outcomes at age 40.
METHODS: A structural equation model of LR at age ∼20, outcomes of heavy drinking and problems at age ∼40, and additional characteristics at age ∼35 were tested in 378 men from the San Diego Prospective Study.
RESULTS: The results support both direct effects of age-20 LR on age-40 heavy drinking and alcohol problems, as well as indirect effects of LR through characteristics of these men at age 35. The latter include using alcohol to cope with stress and heavier drinking among peers.
CONCLUSIONS: A low LR to alcohol is an example of how both genes and environment can contribute to the risk for adverse alcohol outcomes. The identification of mechanisms through which LR impacts on later heavy drinking and problems can be approached in cross-sectional studies, but those may not be as sensitive as longitudinal models for identifying additional potential mediators of the LR-to-outcome relationship.

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Year:  2011        PMID: 21797810     DOI: 10.3109/00952990.2011.598590

Source DB:  PubMed          Journal:  Am J Drug Alcohol Abuse        ISSN: 0095-2990            Impact factor:   3.829


  24 in total

1.  Commentary on 'reduced subjective response to acute ethanol administration among young men with a broad bipolar phenotype'.

Authors:  Marc A Schuckit
Journal:  Neuropsychopharmacology       Date:  2012-07       Impact factor: 7.853

2.  Neurochemical heterogeneity of rats predicted by different measures to be high ethanol consumers.

Authors:  Jessica R Barson; Shawn E Fagan; Guo-Qing Chang; Sarah F Leibowitz
Journal:  Alcohol Clin Exp Res       Date:  2012-06-22       Impact factor: 3.455

3.  The Cerebellar GABAAR System as a Potential Target for Treating Alcohol Use Disorder.

Authors:  David J Rossi; Ben D Richardson
Journal:  Handb Exp Pharmacol       Date:  2018

4.  Comparison across two generations of prospective models of how the low level of response to alcohol affects alcohol outcomes.

Authors:  Marc A Schuckit; Tom L Smith; Jelger Kalmijn; Ryan S Trim; Erin Cesario; Gretchen Saunders; Courtney Sanchez; Nicole Campbell
Journal:  J Stud Alcohol Drugs       Date:  2012-03       Impact factor: 2.582

5.  The Low Level of Response to Alcohol-Based Heavy Drinking Prevention Program: One-Year Follow-Up.

Authors:  Marc A Schuckit; Tom L Smith; Peyton Clausen; Kim Fromme; Jessica Skidmore; Alexandra Shafir; Jelger Kalmijn
Journal:  J Stud Alcohol Drugs       Date:  2016-01       Impact factor: 2.582

6.  Predictors of subgroups based on maximum drinks per occasion over six years for 833 adolescents and young adults in COGA.

Authors:  Marc A Schuckit; Tom L Smith; George P Danko; Kathleen K Bucholz; Arpana Agrawal; Danielle M Dick; John I Nurnberger; John Kramer; Michie Hesselbrock; Gretchen Saunders; Victor Hesselbrock
Journal:  J Stud Alcohol Drugs       Date:  2014-01       Impact factor: 2.582

7.  Linking Delay Discounting and Substance Use Disorders: Genotypes and Phenotypes.

Authors:  Suzanne H Mitchell
Journal:  Perspect Behav Sci       Date:  2019-07-10

8.  Sex differences in how a low sensitivity to alcohol relates to later heavy drinking.

Authors:  Marc A Schuckit; Tom L Smith; Ryan S Trim; Samuel Kuperman; John Kramer; Victor Hesselbrock; Kathleen K Bucholz; John I Nurnberger; Michie Hesselbrock; Gretchen Saunders
Journal:  Drug Alcohol Rev       Date:  2012-06-18

9.  Subjective Effects of Alcohol Predict Alcohol Choice in Social Drinkers.

Authors:  Jingfei Li; Conor H Murray; Jessica Weafer; Harriet de Wit
Journal:  Alcohol Clin Exp Res       Date:  2020-11-17       Impact factor: 3.455

Review 10.  High drinking in the dark mice: a genetic model of drinking to intoxication.

Authors:  Amanda M Barkley-Levenson; John C Crabbe
Journal:  Alcohol       Date:  2013-11-15       Impact factor: 2.405

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