Literature DB >> 33630617

Behavioral economic indicators of risky drinking among community-dwelling emerging adults.

Jalie A Tucker1, Katie Lindstrom1, Susan D Chandler1, Joseph P Bacon1, JeeWon Cheong1.   

Abstract

Objective: Behavioral economic (BE) approaches to understanding and reducing risky drinking among college students are well established, but little is known about the generalizability of prior findings to peers who currently are not traditional college students and are more difficult to reach for assessment and intervention. This cross-sectional survey investigated whether drinking practices and negative consequences were associated with greater alcohol demand, alcohol reward value, and delay discounting in this target population. Method: Community-dwelling emerging adult drinkers aged 21 to 29 (N = 357) were recruited using Respondent-Driven Sampling adapted to a digital platform (Mage = 23.6 years, 64% women). Peers recruited peers in an iterative fashion. Participants completed a web-based survey of drinking practices, negative alcohol-related consequences, and BE measures of alcohol demand, alcohol reward value, and delay discounting.
Results: Regression analyses supported the study hypotheses. Higher alcohol demand (intensity and elasticity) predicted higher drinks per drinking day, more past-month drinking days, and more negative consequences. Higher alcohol reward value (discretionary alcohol spending and alcohol-involved activities) and stronger preference for sooner smaller versus later larger rewards predicted select drinking risk variables in the hypothesized direction (p < .05). Conclusions: BE risk characteristics were generalized to community-dwelling emerging adult risky drinkers, with the most consistent associations found between alcohol demand and drinking risk measures. The findings lay a foundation for extending successful BE interventions with college drinkers to this underserved population. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Entities:  

Mesh:

Year:  2021        PMID: 33630617      PMCID: PMC8184563          DOI: 10.1037/adb0000686

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


  51 in total

1.  Significance of a behavioral economic index of reward value in predicting drinking problem resolution.

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Journal:  J Consult Clin Psychol       Date:  2006-04

2.  Economic demand and essential value.

Authors:  Steven R Hursh; Alan Silberberg
Journal:  Psychol Rev       Date:  2008-01       Impact factor: 8.934

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4.  The development of an instrument to measure social support.

Authors:  J S Norbeck; A M Lindsey; V L Carrieri
Journal:  Nurs Res       Date:  1981 Sep-Oct       Impact factor: 2.381

5.  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

6.  Alcohol use disorders among US college students and their non-college-attending peers.

Authors:  Wendy S Slutske
Journal:  Arch Gen Psychiatry       Date:  2005-03

7.  Reliability and validity of a demand curve measure of alcohol reinforcement.

Authors:  James G Murphy; James MacKillop; Jessica R Skidmore; Ashley A Pederson
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8.  Validity of the alcohol purchase task: a meta-analysis.

Authors:  Andrew M Kiselica; Troy A Webber; Marina A Bornovalova
Journal:  Addiction       Date:  2016-01-13       Impact factor: 6.526

9.  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

10.  Diagnostics for Respondent-driven Sampling.

Authors:  Krista J Gile; Lisa G Johnston; Matthew J Salganik
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2014-05-01       Impact factor: 2.483

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  2 in total

1.  Social Network Drinking Feedback is Associated with Use of Protective Behavioral Strategies and Drinking-Related Outcomes in Emerging Adult Risky Drinkers.

Authors:  Jalie A Tucker; Susan D Chandler; Jeewon Cheong; Katie Lindstrom
Journal:  J Stud Alcohol Drugs       Date:  2022-01       Impact factor: 2.582

2.  Social Network Feedback and Drinking Outcomes among Emerging Adult Risky Drinkers Living in Urban Communities.

Authors:  JeeWon Cheong; Katie Lindstrom; Susan D Chandler; Joseph P Bacon; Jalie A Tucker
Journal:  Subst Use Misuse       Date:  2021-08-25       Impact factor: 2.164

  2 in total

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