Literature DB >> 32306234

Do EGMs have a Stronger Association with Problem Gambling than Racing and Casino Table Games? Evidence from a Decade of Australian Prevalence Studies.

Paul Delfabbro1, Daniel L King2, Matthew Browne3, Nicki A Dowling4,5.   

Abstract

Although it is often assumed that electronic gaming machines (EGMs) are associated with the highest level of risk, it has proved difficult to find reliable evidence in support of this proposition. In this paper, we analysed statistics from major Australian community prevalence studies for the period 2011-2020 to investigate whether EGMs (in comparison to racing and casino table games) have a stronger association with problem gambling. All prevalence studies reviewed used telephone sampling and the Problem Gambling Severity Index to assess problem gambling. In this paper, we examine the principal hypothesis using several lines of evidence, including whether problem gamblers are more likely to gamble and gamble regularly on EGMs as opposed to racing and casino games and if the EGM-problem gambling association was maintained after controlling for other forms of participation. Results showed that of all gambling activities, EGMs do appear to have the strongest association with problem gambling. Despite having a disproportionately higher level of participation on racing and casino games as compared with other gamblers, problem gamblers are more likely to report regular or weekly participation in EGM gambling and this may be the reason why this activity emerges most strongly as a predictor of problem gambling in multivariate models. This finding is particularly salient, given the very high prevalence of EGM participation, compared to other risky gambling forms. The findings underscore the importance of survey reporting that presents results in a form that can inform policy relevant research relating to the potential impact of different gambling activities.

Keywords:  Casino table games; Electronic gaming machines; Prevalence studies; Problem gambling; Racing; Risk

Year:  2020        PMID: 32306234     DOI: 10.1007/s10899-020-09950-5

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


  7 in total

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Journal:  J Gambl Stud       Date:  2021-05-10

2.  The Identification of Low-risk Gambling Limits for Specific Gambling Activities.

Authors:  N A Dowling; G J Youssef; C Greenwood; S S Merkouris; A Suomi; R Room
Journal:  J Gambl Stud       Date:  2021-06-01

3.  Overconfidence in Understanding of How Electronic Gaming Machines Work Is Related to Positive Attitudes.

Authors:  Kahlil S Philander; Sally M Gainsbury
Journal:  Front Psychol       Date:  2021-01-12

4.  Online self-exclusion from multiple gambling venues: Stakeholder co-design of a usable and acceptable self-directed website.

Authors:  D Pickering; A Serafimovska; S J Cho; A Blaszczynski; S M Gainsbury
Journal:  Internet Interv       Date:  2021-12-18

5.  Heart rate variability and interoceptive accuracy predict impaired decision-making in Gambling Disorder.

Authors:  Lorenzo Moccia; Maria Quintigliano; Delfina Janiri; Valentina De Martin; Guyonne Rogier; Gabriele Sani; Luigi Janiri; Patrizia Velotti; Vittorio Gallese; Anna Maria Speranza; Marco Di Nicola
Journal:  J Behav Addict       Date:  2021-09-28       Impact factor: 6.756

6.  Risk and protective factors for the development of gambling-related harms and problems among Australian sexual minority men.

Authors:  Rachel Bush; Alex M T Russell; Petra K Staiger; Andrea Waling; Nicki A Dowling
Journal:  BMC Psychol       Date:  2021-06-29

Review 7.  Structural characteristics of fixed-odds sports betting products.

Authors:  Philip W S Newall; Alex M T Russell; Nerilee Hing
Journal:  J Behav Addict       Date:  2021-04-08       Impact factor: 6.756

  7 in total

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