Literature DB >> 32730058

Statistically derived patterns of behavioral economic risk among heavy-drinking college students: A latent profile analysis.

Kevin W Campbell1, Andrew T Voss1, Samuel F Acuff1, Kinsey Pebley1, Kristoffer S Berlin1, Matthew P Martens2, Brian Borsari3, Ashley A Dennhardt1, James G Murphy1.   

Abstract

High levels of 3 behavioral economic indices (delay discounting, alcohol demand, and proportionate substance-related reinforcement) are consistently associated with greater alcohol misuse and alcohol-related problems. However, it is unclear whether and how these variables jointly increase the risk for alcohol-related outcomes among college students who engage in heavy episodic drinking (HED; 4/5+ drinks for women/men, respectively). The current study used a person-centered approach to identify similar patterns of behavioral economic domains among heavy-drinking college students and investigate the relationship between these empirically derived classes and alcohol-related outcomes. A sample of 393 college students (60.8% female, 78.9% White/Caucasian) reporting at least 2 heavy drinking episodes in the previous month completed measures of alcohol use and problems, demographics, delay discounting, and alcohol reward value (alcohol demand and proportionate substance-related reinforcement). Latent profile analyses revealed that a 3-class solution provided the best fit to the data: a low reward value, high discounting (LRHD) class (n = 53), a moderate reward value, low discounting (MRLD) class (n = 214), and a high reward value, high discounting (HRHD) class (n = 126). Members of the HRHD class reported significantly greater alcohol consumption, past-month HED episodes, alcohol-related problems, and symptoms of alcohol use disorder than those in the MRLD and LRHD classes. The results suggest that there are 3 constellations of behavioral economic processes and that, consistent with the reinforcer pathology model, students who overvalue alcohol-related reward and discount the future more steeply are at the greatest risk for alcohol misuse and alcohol-related problems. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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Year:  2020        PMID: 32730058      PMCID: PMC8409244          DOI: 10.1037/pha0000420

Source DB:  PubMed          Journal:  Exp Clin Psychopharmacol        ISSN: 1064-1297            Impact factor:   3.157


  61 in total

1.  Relationships between binge drinking and substance-free reinforcement in a sample of college students: a preliminary investigation.

Authors:  Christopher J Correia; Kate B Carey; Jeffrey Simons; Brian E Borsari
Journal:  Addict Behav       Date:  2003-03       Impact factor: 3.913

2.  The behavioral economics of driving after drinking among college drinkers.

Authors:  Jenni B Teeters; James G Murphy
Journal:  Alcohol Clin Exp Res       Date:  2015-04-13       Impact factor: 3.455

3.  Family history of problem drinking is associated with less sensitivity of alcohol demand to a next-day responsibility.

Authors:  James G Murphy; Ali M Yurasek; Lidia Z Meshesha; Ashley A Dennhardt; James MacKillop; Jessica R Skidmore; Matthew P Martens
Journal:  J Stud Alcohol Drugs       Date:  2014-07       Impact factor: 2.582

4.  Symptoms of depression and PTSD are associated with elevated alcohol demand.

Authors:  James G Murphy; Ali M Yurasek; Ashley A Dennhardt; Jessica R Skidmore; Meghan E McDevitt-Murphy; James MacKillop; Matthew P Martens
Journal:  Drug Alcohol Depend       Date:  2012-07-17       Impact factor: 4.492

5.  The behavioral economics of young adult substance abuse.

Authors:  James G Murphy; Ashley A Dennhardt
Journal:  Prev Med       Date:  2016-05-03       Impact factor: 4.018

Review 6.  The behavioral economics of substance use disorders: reinforcement pathologies and their repair.

Authors:  Warren K Bickel; Matthew W Johnson; Mikhail N Koffarnus; James MacKillop; James G Murphy
Journal:  Annu Rev Clin Psychol       Date:  2014       Impact factor: 18.561

Review 7.  Measurement of substance-free reinforcement in addiction: A systematic review.

Authors:  Samuel F Acuff; Ashley A Dennhardt; Christopher J Correia; James G Murphy
Journal:  Clin Psychol Rev       Date:  2019-04-05

8.  Evaluating Behavioral Economic Models of Heavy Drinking Among College Students.

Authors:  Samuel F Acuff; Kathryn E Soltis; Ashley A Dennhardt; Kristoffer S Berlin; James G Murphy
Journal:  Alcohol Clin Exp Res       Date:  2018-06-04       Impact factor: 3.455

9.  Steep delay discounting and addictive behavior: a meta-analysis of continuous associations.

Authors:  Michael Amlung; Lana Vedelago; John Acker; Iris Balodis; James MacKillop
Journal:  Addiction       Date:  2016-09-01       Impact factor: 6.526

10.  Psychometric Properties of the Adolescent Reinforcement Survey Schedule-Alcohol Use Version with College Student Drinkers.

Authors:  Kevin A Hallgren; Brenna L Greenfield; Benjamin O Ladd
Journal:  Subst Use Misuse       Date:  2016-04-20       Impact factor: 2.164

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  1 in total

1.  Beyond Systematic and Unsystematic Responding: Latent Class Mixture Models to Characterize Response Patterns in Discounting Research.

Authors:  Shawn P Gilroy; Justin C Strickland; Gideon P Naudé; Matthew W Johnson; Michael Amlung; Derek D Reed
Journal:  Front Behav Neurosci       Date:  2022-04-28       Impact factor: 3.558

  1 in total

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