Literature DB >> 23915365

Breadth and depth involvement: Understanding Internet gambling involvement and its relationship to gambling problems.

Debi A LaPlante1, Sarah E Nelson1, Heather M Gray1.   

Abstract

The "involvement effect" refers to the finding that controlling for gambling involvement often reduces or eliminates frequently observed game-specific associations with problem gambling. In other words, broader patterns of gambling behavior, particularly the number of types of games played over a defined period, contribute more to problem gambling than playing specific games (e.g., lottery, casino, Internet gambling). This study extends this burgeoning area of inquiry in three primary ways. First, it tests independently and simultaneously the predictive power of two gambling patterns: breadth involvement (i.e., the number of games an individual plays) and depth involvement (i.e., the number of days an individual plays). Second, it includes the first involvement analyses of actual betting activity records that are associated with clinical screening information. Third, it evaluates and compares the linearity of breadth and depth effects. We conducted analyses of the actual gambling activity of 1,440 subscribers to the bwin.party gambling service who completed an online gambling disorder screen. In all, 11 of the 16 games we examined had a significant univariate association with a positive screen for gambling disorder. However, after controlling for breadth involvement, only Live Action Internet sports betting retained a significant relationship with potential gambling-related problems. Depth involvement, though significantly related to potential problems, did not impact game-based gambling disorder associations as much as breadth involvement. Finally, breadth effects appeared steeply linear, with a slight quadratic component manifesting beyond four games played, but depth effects appeared to have a strong linear component and a slight cubic component.

Entities:  

Mesh:

Year:  2013        PMID: 23915365     DOI: 10.1037/a0033810

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


  39 in total

1.  Expanding the study of internet gambling behavior: trends within the Icelandic lottery and sportsbetting platform.

Authors:  Heather M Gray; Guðberg K Jónsson; Debi A LaPlante; Howard J Shaffer
Journal:  J Gambl Stud       Date:  2015-06

2.  Risk Factors for Gambling Problems Specifically Associated with Sports Betting.

Authors:  Alex M T Russell; Nerilee Hing; Matthew Browne
Journal:  J Gambl Stud       Date:  2019-12

3.  Risk Factors for Problem Gambling in California: Demographics, Comorbidities and Gambling Participation.

Authors:  Rachel A Volberg; Lauren M McNamara; Kari L Carris
Journal:  J Gambl Stud       Date:  2018-06

4.  Typology of online lotteries and scratch games gamblers' behaviours: A multilevel latent class cluster analysis applied to player account-based gambling data.

Authors:  Bastien Perrot; Jean-Benoit Hardouin; Marie Grall-Bronnec; Gaëlle Challet-Bouju
Journal:  Int J Methods Psychiatr Res       Date:  2018-10-18       Impact factor: 4.035

5.  A Gamblers Clustering Based on Their Favorite Gambling Activity.

Authors:  Gaëlle Challet-Bouju; Jean-Benoit Hardouin; Noëlle Renard; Cindy Legauffre; Marc Valleur; David Magalon; Mélina Fatséas; Isabelle Chéreau-Boudet; Mohamed-Ali Gorsane; Jean-Luc Vénisse; Marie Grall-Bronnec
Journal:  J Gambl Stud       Date:  2015-12

6.  Use of Consumer Protection Tools on Internet Gambling Sites: Customer Perceptions, Motivators, and Barriers to Use.

Authors:  Sally M Gainsbury; Douglas J Angus; Lindsey Procter; Alex Blaszczynski
Journal:  J Gambl Stud       Date:  2020-03

7.  Tracking online poker problem gamblers with player account-based gambling data only.

Authors:  Amandine Luquiens; Marie-Laure Tanguy; Amine Benyamina; Marthylle Lagadec; Henri-Jean Aubin; Michel Reynaud
Journal:  Int J Methods Psychiatr Res       Date:  2016-05-19       Impact factor: 4.035

8.  Already at the Table: Patterns of Play and Gambling Involvement Prior to Gambling Expansion.

Authors:  Sarah E Nelson; Debi A LaPlante; Heather M Gray; Matthew A Tom; John H Kleschinsky; Howard J Shaffer
Journal:  J Gambl Stud       Date:  2018-03

9.  Do Simulated Gambling Activities Predict Gambling with Real Money During Adolescence? Empirical Findings from a Longitudinal Study.

Authors:  Tobias Hayer; Jens Kalke; Gerhard Meyer; Tim Brosowski
Journal:  J Gambl Stud       Date:  2018-09

10.  The Effects of Pop-up Harm Minimisation Messages on Electronic Gaming Machine Gambling Behaviour in New Zealand.

Authors:  Katie Palmer du Preez; Jason Landon; Maria Bellringer; Nick Garrett; Max Abbott
Journal:  J Gambl Stud       Date:  2016-12
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