Literature DB >> 33813659

Predictors of Problem Gambling for Sports and Non-sports Gamblers: A Stochastic Search Variable Selection Analysis.

Alysha Cooper1, Katrina Olfert1, Harvey H C Marmurek2.   

Abstract

Differences in the psychological characteristics and gambling behaviors of sports bettors and non-sports bettors were examined with a view to identifying predictors of problem gambling severity. A survey was completed by 1,280 participants, 596 of whom had placed bets on a sporting event in the last year. We found that sports bettors are at greater risk of problem gambling due to differences in attitudes towards gambling, personality traits, thinking styles, erroneous cognitions, and gambling motivations. Moreover, our findings suggest that the difference between individuals who bet on sports and those who do not is more quantitative than qualitative. A stratified stochastic search variable selection analysis by type of bettor revealed similar important predictors of problem gambling for both sports bettors and non-sports bettors; however, the association between the predictors and problem gambling was stronger for sports bettors. Overall, the findings of this study suggest that preventative methods and interventions for problem gambling should be targeted as a function of whether individuals bet on sports.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Bayesian analysis; Cognitions; Impulsivity; Motivation; Sports gambling

Mesh:

Year:  2021        PMID: 33813659     DOI: 10.1007/s10899-021-10025-2

Source DB:  PubMed          Journal:  J Gambl Stud        ISSN: 1050-5350


  5 in total

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Review 2.  A cognitive-behavioral model of Internet gaming disorder: theoretical underpinnings and clinical implications.

Authors:  Guangheng Dong; Marc N Potenza
Journal:  J Psychiatr Res       Date:  2014-07-17       Impact factor: 4.791

Review 3.  Cognitive-behavior therapy for problem gambling: a critique of current treatments and proposed new unified approach.

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Journal:  J Ment Health       Date:  2016-10-18

4.  Predictors of gambling and problem gambling in Victoria, Australia.

Authors:  Piers D L Howe; Adriana Vargas-Sáenz; Carol A Hulbert; Jennifer M Boldero
Journal:  PLoS One       Date:  2019-01-23       Impact factor: 3.240

5.  Isolating the impact of specific gambling activities and modes on problem gambling and psychological distress in internet gamblers.

Authors:  Sally M Gainsbury; Douglas J Angus; Alex Blaszczynski
Journal:  BMC Public Health       Date:  2019-10-25       Impact factor: 3.295

  5 in total
  1 in total

1.  Conceptualising emotional and cognitive dysregulation amongst sports bettors; an exploratory study of 'tilting' in a new context.

Authors:  Jamie Torrance; Gareth Roderique-Davies; James Greville; Marie O'Hanrahan; Nyle Davies; Klara Sabolova; Bev John
Journal:  PLoS One       Date:  2022-02-17       Impact factor: 3.240

  1 in total

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