Literature DB >> 34163542

Crossover Effects of Protective Behavioural Strategies for Drinking on Gambling Consequences Among College Gamblers with Alcohol or Drug Abuse.

Hollie Granato1, Jeremy W Luk2, Andrew Paves3, Irene M Geisner3, Jessica M Cronce4, Jason R Kilmer3, Ty W Lostutter3, Mary E Larimer3.   

Abstract

Protective behavioural strategies (PBS) for drinking are behaviours that individuals engage in to reduce the amount they drink and drinking-related consequences. To date, little is known about associations that PBS might have with other risky behaviours that frequently coincide with drinking, such as gambling. The goal of this study was to examine the associations between three subscales of the Protective Behavioral Strategies Scale (PBSS) and gambling consequences in a college sample of gamblers who also met criteria for alcohol or drug abuse. We hypothesized that engaging in more drinking PBS would be associated with lower levels of gambling consequences. A sample of 316 students (55% female) completed an online survey and met criteria for problematic gambling behaviour (3 or more on the South Oaks Gambling Screen and 1 or more consequences on the Gambling Problem Index). Those endorsing a higher score on the Serious Harm Reduction subscale (but not the Stopping or Limiting Drinking or Manner of Drinking subscales) showed a lower level of lifetime gambling consequences, suggesting a crossover effect. Strategies to reduce serious harm represent a treatment target that could potentially reduce negative consequences associated with both drinking and gambling.

Entities:  

Keywords:  college students; gambling; protective behavioural strategies

Year:  2018        PMID: 34163542      PMCID: PMC8218874          DOI: 10.4309/jgi.2018.38.10

Source DB:  PubMed          Journal:  J Gambl Issues        ISSN: 1910-7595


  36 in total

1.  Protective behavioral strategies when drinking alcohol and their relationship to negative alcohol-related consequences in college students.

Authors:  Matthew P Martens; Kari K Taylor; Krista M Damann; Jennifer C Page; Emily S Mowry; M Dolores Cimini
Journal:  Psychol Addict Behav       Date:  2004-12

Review 2.  Identification, prevention, and treatment revisited: individual-focused college drinking prevention strategies 1999-2006.

Authors:  Mary E Larimer; Jessica M Cronce
Journal:  Addict Behav       Date:  2007-05-17       Impact factor: 3.913

3.  The link between drinking and gambling among undergraduate university students.

Authors:  David C Hodgins; Stephanie Racicot
Journal:  Psychol Addict Behav       Date:  2013-08-05

4.  Potential and probable pathological gamblers: Where do the differences lie?

Authors:  D Dubé; M H Freeston; R Ladouceur
Journal:  J Gambl Stud       Date:  1996-12

5.  Effects of alcohol and initial gambling outcomes on within-session gambling behavior.

Authors:  Jessica M Cronce; William R Corbin
Journal:  Exp Clin Psychopharmacol       Date:  2010-04       Impact factor: 3.157

6.  Alcohol's effects on video lottery terminal (VLT) play among probable pathological and non-pathological gamblers.

Authors:  Michael Ellery; Sherry H Stewart; Pamela Loba
Journal:  J Gambl Stud       Date:  2005

7.  Use of protective behavioral strategies and reduced alcohol risk: examining the moderating effects of mental health, gender, and race.

Authors:  Shannon R Kenney; Joseph W LaBrie
Journal:  Psychol Addict Behav       Date:  2013-09-30

8.  Alcohol consumption and computer blackjack.

Authors:  James G Phillips; Rowan P Ogeil
Journal:  J Gen Psychol       Date:  2007-07

9.  Alcohol affects video lottery terminal (VLT) gambling behaviors and cognitions differently.

Authors:  Michael Ellery; Sherry H Stewart
Journal:  Psychol Addict Behav       Date:  2014-03

10.  A cross-lagged panel model examining protective behavioral strategies: are types of strategies differentially related to alcohol use and consequences?

Authors:  Lucy E Napper; Shannon R Kenney; Andrew Lac; Leslie J Lewis; Joseph W LaBrie
Journal:  Addict Behav       Date:  2013-10-17       Impact factor: 3.913

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