Literature DB >> 18298232

Heavy episodic drinking: determining the predictive utility of five or more drinks.

Kristina M Jackson1.   

Abstract

Although the heavy episodic drinking (HED) measure of 5+ drinks (sometimes 4+ for women) is used extensively, there is no empirical basis for the designation of 5 drinks as the threshold (vs. another threshold that may perform equally). The present study sought to determine the threshold for HED that maximally predicts proximal and distal adverse-drinking-related outcomes. Participants included 115 young adults (57% female; 96% Caucasian) who partook in an 8-week Internet survey that assessed daily drinking as well as next-day hangover; 10 months later, adverse outcomes (problem drinking, alcohol-related problems, maximum number of drinks, and drug use) were surveyed. Thresholds were computed, with a range from 1+ drinks to 15+ drinks, and outcomes were predicted from each threshold. Findings for hangover measures showed relatively good convergence across multiple indicators, with greatest prediction occurring at a threshold of 10+ drinks per occasion. Different thresholds were observed for long-term outcomes, with higher thresholds indicative of outcomes with greater severity. Although alternatives to HED, such as subjective effects and blood alcohol concentration, can indicate risky drinking, a threshold measure of HED may have advantages in terms of prevention and of intervention efforts.

Entities:  

Mesh:

Year:  2008        PMID: 18298232      PMCID: PMC2898719          DOI: 10.1037/0893-164X.22.1.68

Source DB:  PubMed          Journal:  Psychol Addict Behav        ISSN: 0893-164X


  34 in total

1.  Differential utility of three indexes of risky drinking for predicting alcohol problems in college students.

Authors:  B Borsari; D J Neal; S E Collins; K B Carey
Journal:  Psychol Addict Behav       Date:  2001-12

2.  College student binge drinking and the "prevention paradox": implications for prevention and harm reduction.

Authors:  Elissa R Weitzman; Toben F Nelson
Journal:  J Drug Educ       Date:  2004

3.  Heavy drinking across the transition to college: predicting first-semester heavy drinking from precollege variables.

Authors:  Kenneth J Sher; Patricia C Rutledge
Journal:  Addict Behav       Date:  2006-07-24       Impact factor: 3.913

4.  Relationship between level of consumption and harms in assessing drink cut-points for alcohol research: Commentary on "Many college freshmen drink at levels far beyond the binge threshold" by white et Al.

Authors:  Henry Wechsler; Toben F Nelson
Journal:  Alcohol Clin Exp Res       Date:  2006-06       Impact factor: 3.455

5.  Drunkenness, feeling the effects and 5+ measures.

Authors:  L T Midanik
Journal:  Addiction       Date:  1999-06       Impact factor: 6.526

6.  Risk functions for alcohol-related problems in a 1988 US national sample.

Authors:  L T Midanik; T W Tam; T K Greenfield; R Caetano
Journal:  Addiction       Date:  1996-10       Impact factor: 6.526

7.  Ways of measuring drinking patterns and the difference they make: experience with graduated frequencies.

Authors:  T K Greenfield
Journal:  J Subst Abuse       Date:  2000

8.  Alcohol abuse and dependence among U.S. college students.

Authors:  John R Knight; Henry Wechsler; Meichun Kuo; Mark Seibring; Elissa R Weitzman; Marc A Schuckit
Journal:  J Stud Alcohol       Date:  2002-05

9.  Binge drinking among US adults.

Authors:  Timothy S Naimi; Robert D Brewer; Ali Mokdad; Clark Denny; Mary K Serdula; James S Marks
Journal:  JAMA       Date:  2003-01-01       Impact factor: 56.272

10.  Methodological issues in measuring alcohol use.

Authors:  Deborah A Dawson
Journal:  Alcohol Res Health       Date:  2003
View more
  55 in total

1.  Comparison of longitudinal phenotypes based on alternate heavy drinking cut scores: a systematic comparison of trajectory approaches III.

Authors:  Kristina M Jackson; Kenneth J Sher
Journal:  Psychol Addict Behav       Date:  2008-06

2.  Perceived approval of friends and parents as mediators of the relationship between self-determination and drinking.

Authors:  Neharika Chawla; Clayton Neighbors; Diane Logan; Melissa A Lewis; Nicole Fossos
Journal:  J Stud Alcohol Drugs       Date:  2009-01       Impact factor: 2.582

3.  Cumulative proportion of responders analysis (CPRA) as a tool to assess treatment outcome in alcohol clinical trials.

Authors:  Daniel E Falk; Raye Z Litten; Raymond F Anton; Henry R Kranzler; Bankole A Johnson
Journal:  J Stud Alcohol Drugs       Date:  2014-03       Impact factor: 2.582

4.  Drinking beyond the binge threshold in a clinical sample of adolescents.

Authors:  Kasey G Creswell; Tammy Chung; Carillon J Skrzynski; Rachel L Bachrach; Kristina M Jackson; Duncan B Clark; Christopher S Martin
Journal:  Addiction       Date:  2020-02-15       Impact factor: 6.526

5.  Do drinking motives distinguish extreme drinking college students from their peers?

Authors:  Helene R White; Kristen G Anderson; Anne E Ray; Eun-Young Mun
Journal:  Addict Behav       Date:  2016-04-22       Impact factor: 3.913

6.  Hangover Symptoms, Heavy Episodic Drinking, and Depression in Young Adults: A Cross-Lagged Analysis.

Authors:  Thomas M Piasecki; Constantine J Trela; Robin J Mermelstein
Journal:  J Stud Alcohol Drugs       Date:  2017-07       Impact factor: 2.582

7.  Topiramate treatment for heavy drinkers: moderation by a GRIK1 polymorphism.

Authors:  Henry R Kranzler; Jonathan Covault; Richard Feinn; Stephen Armeli; Howard Tennen; Albert J Arias; Joel Gelernter; Timothy Pond; Cheryl Oncken; Kyle M Kampman
Journal:  Am J Psychiatry       Date:  2014-04       Impact factor: 18.112

8.  Alcohol increases impulsivity and abuse liability in heavy drinking women.

Authors:  Stephanie Collins Reed; Frances R Levin; Suzette M Evans
Journal:  Exp Clin Psychopharmacol       Date:  2012-10-15       Impact factor: 3.157

9.  A Rasch model analysis of alcohol consumption and problems across adolescence and young adulthood.

Authors:  Christopher W Kahler; Bettina B Hoeppner; Kristina M Jackson
Journal:  Alcohol Clin Exp Res       Date:  2009-01-12       Impact factor: 3.455

Review 10.  Measures of outcome for stimulant trials: ACTTION recommendations and research agenda.

Authors:  Brian D Kiluk; Kathleen M Carroll; Amy Duhig; Daniel E Falk; Kyle Kampman; Shengan Lai; Raye Z Litten; David J McCann; Ivan D Montoya; Kenzie L Preston; Phil Skolnick; Constance Weisner; George Woody; Redonna Chandler; Michael J Detke; Kelly Dunn; Robert H Dworkin; Joanne Fertig; Jennifer Gewandter; F Gerard Moeller; Tatiana Ramey; Megan Ryan; Kenneth Silverman; Eric C Strain
Journal:  Drug Alcohol Depend       Date:  2015-11-21       Impact factor: 4.492

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.