Literature DB >> 27936363

Predictors of Patterns of Alcohol-Related Blackouts Over Time in Youth From the Collaborative Study of the Genetics of Alcoholism: The Roles of Genetics and Cannabis.

Marc A Schuckit1, Tom L Smith1, Alexandra Shafir1, Peyton Clausen1, George Danko1, Priscila Dib Gonçalves1,2, Robert M Anthenelli1, Grace Chan3, Samuel Kuperman4, Michie Hesselbrock3, Victor Hesselbrock3, John Kramer4, Kathleen K Bucholz5.   

Abstract

OBJECTIVE: Alcohol-related blackouts (ARBs) are anterograde amnesias related to heavy alcohol intake seen in about 50% of drinkers. Although a major determinant of ARBs relates to blood alcohol concentrations, additional contributions come from genetic vulnerabilities and possible impacts of cannabis use disorders (CUDs). We evaluated relationships of genetics and cannabis use to latent class trajectories of ARBs in 829 subjects from the Collaborative Study of the Genetics of Alcoholism (COGA).
METHOD: The number of ARBs experienced every 2 years from subjects with average ages of 18 to 25 were entered into a latent class growth analysis in Mplus, and resulting class membership was evaluated in light of baseline characteristics, including CUDs. Correlations of number of ARBs across assessments were also compared for sibling pairs versus unrelated subjects.
RESULTS: Latent class growth analysis identified ARB-based Classes 1 (consistent low = 42.5%), 2 (moderate low = 28.3%), 3 (moderate high = 22.9%), and 4 (consistent high = 6.3%). A multinomial logistic regression analysis within latent class growth analysis revealed that baseline CUDs related most closely to Classes 3 and 4. The number of ARBs across time correlated .23 for sibling pairs and -.10 for unrelated subjects.
CONCLUSIONS: Baseline CUDs related to the most severe latent ARB course over time, even when considered along with other trajectory predictors, including baseline alcohol use disorders and maximum number of drinks. Data indicated significant roles for genetic factors for alcohol use disorder patterns over time. Future research is needed to improve understanding of how cannabis adds to the ARB risk and to find genes that contribute to risks for ARBs among drinkers.

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Year:  2017        PMID: 27936363      PMCID: PMC5148748          DOI: 10.15288/jsad.2017.78.39

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


  59 in total

1.  Non-acute (residual) neurocognitive effects of cannabis use: a meta-analytic study.

Authors:  Igor Grant; Raul Gonzalez; Catherine L Carey; Loki Natarajan; Tanya Wolfson
Journal:  J Int Neuropsychol Soc       Date:  2003-07       Impact factor: 2.892

2.  The association of alcohol-induced blackouts and grayouts to blood alcohol concentrations.

Authors:  Paul J Perry; Tami R Argo; Mitchell J Barnett; Jill L Liesveld; Barry Liskow; Jillian M Hernan; Michael G Trnka; Mary A Brabson
Journal:  J Forensic Sci       Date:  2006-07       Impact factor: 1.832

3.  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

4.  Simultaneous alcohol and marijuana use among U.S. high school seniors from 1976 to 2011: trends, reasons, and situations.

Authors:  Yvonne M Terry-McElrath; Patrick M O'Malley; Lloyd D Johnston
Journal:  Drug Alcohol Depend       Date:  2013-06-24       Impact factor: 4.492

5.  Gender differences in the developmental risk of onset of alcohol, nicotine, and marijuana use and the effects of nicotine and marijuana use on alcohol outcomes.

Authors:  Anne Buu; Agata Dabrowska; Marjorie Mygrants; Leon I Puttler; Jennifer M Jester; Robert A Zucker
Journal:  J Stud Alcohol Drugs       Date:  2014-09       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.  Alcohol-induced blackout. Phenomenology, biological basis, and gender differences.

Authors:  Mark E Rose; Jon E Grant
Journal:  J Addict Med       Date:  2010-06       Impact factor: 3.702

8.  Early Onset Drinking Predicts Greater Level But Not Growth of Alcohol-Induced Blackouts Beyond the Effect of Binge Drinking During Emerging Adulthood.

Authors:  Elise N Marino; Kim Fromme
Journal:  Alcohol Clin Exp Res       Date:  2016-02-08       Impact factor: 3.455

9.  Effectiveness of a selective, personality-targeted prevention program for adolescent alcohol use and misuse: a cluster randomized controlled trial.

Authors:  Patricia J Conrod; Maeve O'Leary-Barrett; Nicola Newton; Lauren Topper; Natalie Castellanos-Ryan; Clare Mackie; Alain Girard
Journal:  JAMA Psychiatry       Date:  2013-03       Impact factor: 21.596

Review 10.  Alcohol-Induced Blackouts: A Review of Recent Clinical Research with Practical Implications and Recommendations for Future Studies.

Authors:  Reagan R Wetherill; Kim Fromme
Journal:  Alcohol Clin Exp Res       Date:  2016-04-08       Impact factor: 3.455

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  11 in total

Review 1.  A Critical Review of Methods and Results in the Search for Genetic Contributors to Alcohol Sensitivity.

Authors:  Marc A Schuckit
Journal:  Alcohol Clin Exp Res       Date:  2018-04-05       Impact factor: 3.455

2.  Intentions and motives to experience alcohol-induced blackout among young adults in college.

Authors:  Mary Beth Miller; Christal N Davis; Jennifer E Merrill; Angelo M DiBello; Kate B Carey
Journal:  Psychol Addict Behav       Date:  2020-03-12

3.  Alcohol-induced blackouts, subjective intoxication, and motivation to decrease drinking: Prospective examination of the transition out of college.

Authors:  Elise N Marino; Kim Fromme
Journal:  Addict Behav       Date:  2018-01-12       Impact factor: 3.913

4.  Identifying subtypes of cannabis users based on simultaneous polysubstance use.

Authors:  Christal N Davis; Wendy S Slutske; Nicholas G Martin; Arpana Agrawal; Michael T Lynskey
Journal:  Drug Alcohol Depend       Date:  2019-10-28       Impact factor: 4.492

5.  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

6.  The Search for Contributors to Low Rates of Recognition of Paternal Alcohol Use Disorders in Offspring From the San Diego Prospective Study.

Authors:  Marc A Schuckit; Dennis F Clarke; Tom L Smith; Lee Anne Mendoza; Lara Schoen
Journal:  Alcohol Clin Exp Res       Date:  2020-07-16       Impact factor: 3.455

7.  Drinking Status Between Ages 50 and 55 for Men From the San Diego Prospective Study Who Developed DSM-IV Alcohol Abuse or Dependence in Prior Follow-Ups.

Authors:  Priscila Dib Gonçalves; Marc A Schuckit; Tom L Smith
Journal:  J Stud Alcohol Drugs       Date:  2017-07       Impact factor: 2.582

8.  Individual and Social Factors Related to Trajectories of Blackouts among Underage Drinkers in the Emergency Department.

Authors:  Erin E Bonar; Jason E Goldstick; Rebecca M Cunningham; Anne C Fernandez; Alan K Davis; Mark A Ilgen; Maureen A Walton
Journal:  Alcohol Alcohol       Date:  2019-07-01       Impact factor: 2.826

9.  Past year high-intensity drinking moderates the association between simultaneous alcohol and marijuana use and blackout frequency among college students.

Authors:  Christal N Davis; Genevieve F Dash; Mary Beth Miller; Wendy S Slutske
Journal:  J Am Coll Health       Date:  2021-02-12

10.  Alcohol-related blackouts among college students: impact of low level of response to alcohol, ethnicity, sex, and environmental characteristics.

Authors:  Priscila D Gonçalves; Tom L Smith; Robert M Anthenelli; George Danko; Marc A Schuckit
Journal:  Braz J Psychiatry       Date:  2017-08-31       Impact factor: 2.697

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