Literature DB >> 20201931

Comparing structural equation models that use different measures of the level of response to alcohol.

Marc A Schuckit1, Tom L Smith, Ryan S Trim, Neil J Tolentino, Shana A Hall.   

Abstract

BACKGROUND: The two measures of a low level of response (LR) to alcohol, an alcohol challenge and the retrospective Self-Report of the Effects of Alcohol questionnaire (SRE), each identify individuals at high risk for heavy drinking and alcohol problems. These measures also perform similarly in identifying subjects with unique functional brain imaging characteristics. However, few data are available regarding whether alcohol challenge-based and SRE-based LRs operate similarly in structural equation models (SEMs) that search for characteristics, which help to mediate how LR impacts alcohol outcomes.
METHODS: Two hundred and ninety-four men from the San Diego Prospective Study were evaluated for their LR to alcohol using alcohol challenges at approximately age 20. At approximately age 35, the same subjects filled out the SRE regarding the number of drinks needed for effects 15 to 20 years earlier. The two different LR scores for these men were used in SEM analyses evaluating how LR relates to future heavy drinking and to drinking in peers (PEER), alcohol expectancies (EXPECT), and drinking to cope (COPE) as potential mediators of the LR to drinking pattern (ALCOUT) relationships.
RESULTS: While the 2 LR measures that were determined 15 years apart related to each other at a modest level (r = 0.17, p < 0.01), the SEM results were similar regardless of the LR source. In both alcohol challenge-based and SRE-based LR models, LR related directly to ALCOUT, with partial mediation from PEER and COPE, but not through EXPECT in these 35-year-old men.
CONCLUSIONS: Consistent with the >60% overlap in prediction of outcomes for the 2 LR measures, and with results from functional brain imaging, alcohol challenge- and SRE-based LR values operated similarly in SEM models in these men.

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Year:  2010        PMID: 20201931     DOI: 10.1111/j.1530-0277.2010.01158.x

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


  10 in total

1.  A Prospective Comparison of How the Level of Response to Alcohol and Impulsivity Relate to Future DSM-IV Alcohol Problems in the COGA Youth Panel.

Authors:  Marc A Schuckit; Tom L Smith; George Danko; Robert Anthenelli; Lara Schoen; Mari Kawamura; John Kramer; Danielle M Dick; Zoe Neale; Samuel Kuperman; Vivia McCutcheon; Andrey P Anokhin; Victor Hesselbrock; Michie Hesselbrock; Kathleen Bucholz
Journal:  Alcohol Clin Exp Res       Date:  2017-05-24       Impact factor: 3.455

2.  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

3.  Type 2 ryanodine receptors are highly sensitive to alcohol.

Authors:  Yanping Ye; Kuihuan Jian; Jonathan H Jaggar; Anna N Bukiya; Alex M Dopico
Journal:  FEBS Lett       Date:  2014-03-12       Impact factor: 4.124

4.  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

5.  The Ability of Functional Magnetic Resonance Imaging to Predict Heavy Drinking and Alcohol Problems 5 Years Later.

Authors:  Marc A Schuckit; Tom L Smith; Martin P Paulus; Susan F Tapert; Alan N Simmons; Neil J Tolentino; Alexandra Shafir
Journal:  Alcohol Clin Exp Res       Date:  2016-01       Impact factor: 3.455

6.  Two alternative approaches to conventional person-mean imputation scoring of the Self-Rating of the Effects of Alcohol Scale (SRE).

Authors:  Matthew R Lee; Bruce D Bartholow; Denis M McCarthy; Sarah L Pedersen; Kenneth J Sher
Journal:  Psychol Addict Behav       Date:  2014-08-18

7.  Alcohol effects on cerebral blood flow in subjects with low and high responses to alcohol.

Authors:  Neil J Tolentino; Christina E Wierenga; Shana Hall; Susan F Tapert; Martin P Paulus; Thomas T Liu; Tom L Smith; Marc A Schuckit
Journal:  Alcohol Clin Exp Res       Date:  2011-02-17       Impact factor: 3.455

8.  Early subjective response and acquired tolerance as predictors of alcohol use and related problems in a clinical sample.

Authors:  William R Corbin; Caitlin Scott; Robert F Leeman; Lisa M Fucito; Benjamin A Toll; Stephanie S O'Malley
Journal:  Alcohol Clin Exp Res       Date:  2013-01-24       Impact factor: 3.455

9.  Stability of scores and correlations with drinking behaviors over 15 years for the Self-Report of the Effects of Alcohol Questionnaire.

Authors:  Marc A Schuckit; Tom L Smith
Journal:  Drug Alcohol Depend       Date:  2012-09-13       Impact factor: 4.492

10.  Testing a level of response to alcohol-based model of heavy drinking and alcohol problems in 1,905 17-year-olds.

Authors:  Marc A Schuckit; Tom L Smith; Jon Heron; Matthew Hickman; John Macleod; Glyn Lewis; John M Davis; Joseph R Hibbeln; Sandra Brown; Luisa Zuccolo; Laura L Miller; George Davey-Smith
Journal:  Alcohol Clin Exp Res       Date:  2011-07-18       Impact factor: 3.455

  10 in total

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