Literature DB >> 22333327

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

Marc A Schuckit1, Tom L Smith, Jelger Kalmijn, Ryan S Trim, Erin Cesario, Gretchen Saunders, Courtney Sanchez, Nicole Campbell.   

Abstract

OBJECTIVE: This article presents the first direct comparison of level of response (LR)-based prospective models in two generations of the same families. To accomplish this, we describe results from the first prospective evaluation of potential mediators of how an earlier low LR to alcohol relates to adverse alcohol outcomes in offspring from the San Diego Prospective Study (SDPS).
METHOD: To compare with data from probands in the SDPS, new data were gathered from 86 drinking offspring (age ~20 years) during the 25-year follow-up of these families. Consistent with the usual effect of a low LR, outcomes 5 years later for both generations focused on drinking quantities as well as alcohol problems during the follow-up. A structural equation model (SEM) was used to analyze the relationships among variables, and the models in proband and offspring generations were compared using direct observations of the model results and through invariance procedures.
RESULTS: In these drinking offspring, LR correlated with 5-year outcomes (r = .48, p < .001) and the SEM R² was .48, with good fit statistics. As predicted, the LR relationship to alcohol-related outcomes was both direct and partially mediated by heavier peer drinking, positive alcohol expectancies, and using alcohol to cope with stress. These results were similar to a previously published prospective model in SDPS probands, although path coefficients were generally higher in the younger group.
CONCLUSIONS: The LR-based model of heavier drinking operated similarly across generations, with some modest differences. These results indicate that the model may be meaningful in both younger and middle-age groups.

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Year:  2012        PMID: 22333327      PMCID: PMC3281979          DOI: 10.15288/jsad.2012.73.195

Source DB:  PubMed          Journal:  J Stud Alcohol Drugs        ISSN: 1937-1888            Impact factor:   2.582


  37 in total

1.  Testing the level of response to alcohol: social information processing model of alcoholism risk--a 20-year prospective study.

Authors:  Marc A Schuckit; Tom L Smith; Kristen G Anderson; Sandra A Brown
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2.  Self-Rating of the Effects of Alcohol (SRE): Predictive utility and reliability across interview and self-report administrations.

Authors:  Lara A Ray; Eliza J Hart; Pauline F Chin
Journal:  Addict Behav       Date:  2010-10-28       Impact factor: 3.913

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

Authors:  Marc A Schuckit; Tom L Smith; Ryan S Trim; Rhonda C Allen; Tsutomu Fukukura; Emily E Knight; Erin M Cesario; Sara A Kreikebaum
Journal:  Am J Drug Alcohol Abuse       Date:  2011-07-29       Impact factor: 3.829

4.  The Self-Rating of the Effects of alcohol (SRE) form as a retrospective measure of the risk for alcoholism.

Authors:  M A Schuckit; T L Smith; J E Tipp
Journal:  Addiction       Date:  1997-08       Impact factor: 6.526

5.  Interpersonal Goals and Susceptibility to Peer Influence: Risk Factors for Intentions to Initiate Substance Use during Early Adolescence.

Authors:  Elisa M Trucco; Craig R Colder; Julie C Bowker; William F Wieczorek
Journal:  J Early Adolesc       Date:  2011-08-01

6.  Social cognitive theory: an agentic perspective.

Authors:  A Bandura
Journal:  Annu Rev Psychol       Date:  2001       Impact factor: 24.137

Review 7.  Individual-level interventions to reduce college student drinking: a meta-analytic review.

Authors:  Kate B Carey; Lori A J Scott-Sheldon; Michael P Carey; Kelly S DeMartini
Journal:  Addict Behav       Date:  2007-05-17       Impact factor: 3.913

8.  An evaluation of the full level of response to alcohol model of heavy drinking and problems in COGA offspring.

Authors:  Marc A Schuckit; Tom L Smith; George P Danko; Ryan Trim; Kathleen K Bucholz; Howard J Edenberg; Victor Hesselbrock; John J Kramer; Danielle M Dick
Journal:  J Stud Alcohol Drugs       Date:  2009-05       Impact factor: 2.582

9.  The relationships of the level of response to alcohol and additional characteristics to alcohol use disorders across adulthood: a discrete-time survival analysis.

Authors:  Ryan S Trim; Marc A Schuckit; Tom L Smith
Journal:  Alcohol Clin Exp Res       Date:  2009-05-26       Impact factor: 3.455

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

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  11 in total

1.  Performance of the Self-Report of the Effects of Alcohol Questionnaire Across Sexes and Generations.

Authors:  Marc A Schuckit; Tom L Smith; Brinda K Rana; Lee Ann Mendoza; Dennis Clarke; Mari Kawamura
Journal:  Alcohol Clin Exp Res       Date:  2019-05-02       Impact factor: 3.455

2.  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

Review 3.  A brief history of research on the genetics of alcohol and other drug use disorders.

Authors:  Marc A Schuckit
Journal:  J Stud Alcohol Drugs Suppl       Date:  2014

4.  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

5.  Craving and acute effects of alcohol in youths' daily lives: Associations with alcohol use disorder severity.

Authors:  Hayley Treloar; Robert Miranda
Journal:  Exp Clin Psychopharmacol       Date:  2017-06-19       Impact factor: 3.157

6.  Coping motives for drinking affect stress reactivity but not alcohol consumption in a clinical laboratory setting.

Authors:  Suzanne E Thomas; Jennifer E Merrill; Johanna von Hofe; Viktoriya Magid
Journal:  J Stud Alcohol Drugs       Date:  2014-01       Impact factor: 2.582

7.  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

8.  Alcohol-related blackouts across 55 weeks of college: Effects of European-American ethnicity, female sex, and low level of response to alcohol.

Authors:  Marc A Schuckit; Tom L Smith; Priscila Dib Goncalves; Robert Anthenelli
Journal:  Drug Alcohol Depend       Date:  2016-10-26       Impact factor: 4.492

9.  Interoceptive accuracy and interoceptive sensibility in individuals with alcohol use disorder-Different phenomena with different clinical correlations?

Authors:  A Jakubczyk; J Skrzeszewski; E M Trucco; H Suszek; J Zaorska; M Nowakowska; A Michalska; M Wojnar; M Kopera
Journal:  Drug Alcohol Depend       Date:  2019-03-08       Impact factor: 4.492

10.  Relationships between impulsivity and subjective response in an IV ethanol paradigm.

Authors:  Robert F Leeman; Elizabeth Ralevski; Diana Limoncelli; Brian Pittman; Stephanie S O'Malley; Ismene L Petrakis
Journal:  Psychopharmacology (Berl)       Date:  2014-02-20       Impact factor: 4.530

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