Literature DB >> 26233645

Video Lottery is the Most Harmful Form of Gambling in Canada.

Vance Victor MacLaren1.   

Abstract

This paper summarizes the degree to which different forms of legal gambling contribute to Problem and Pathological Gambling (PPG) in Canada. Legal gambling activities were compared using meta-analysis of publicly available data concerning Canada's legal gambling industry. The majority of revenues in the decade spanning 2002-2012 were drawn from Video Lottery Terminals and casino slot machines. Population surveys indicated that three quarters of Canadians reported some form of past-year gambling participation, but most did not play Electronic Gambling Machines. Annual revenues divided by estimated numbers of participants in various gambling activities showed that Video Lottery players spent more money on average than did participants in other forms of gambling. The relative risk of PPG was higher among Video Lottery players than it was for other common forms of gambling. Results from a community study of frequent Video Lottery players showed that the risk of frequent players reporting symptoms of PPG was elevated if they reported playing weekly, spending $50 or more per session, or playing for more than an hour per session. These studies provide converging evidence that Video Lottery is more hazardous to consumers than other forms of gambling that are commonly practised in Canada.

Entities:  

Keywords:  EGM; Gambling; Meta-analysis; Slot machine; VLT

Mesh:

Year:  2016        PMID: 26233645     DOI: 10.1007/s10899-015-9560-z

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


  44 in total

1.  Prevalence of pathological gambling in Quebec in 2002.

Authors:  Robert Ladouceur; Christian Jacques; Serge Chevalier; Serge Sévigny; Denis Hamel
Journal:  Can J Psychiatry       Date:  2005-07       Impact factor: 4.356

2.  Risk of harm among gamblers in the general population as a function of level of participation in gambling activities.

Authors:  Shawn R Currie; David C Hodgins; JianLi Wang; Nady el-Guebaly; Harold Wynne; Sophie Chen
Journal:  Addiction       Date:  2006-04       Impact factor: 6.526

3.  Psychobiology of the near-miss in fruit machine gambling.

Authors:  M Griffiths
Journal:  J Psychol       Date:  1991-05

4.  Problem gambling and family violence: prevalence and patterns in treatment-seekers.

Authors:  N A Dowling; A C Jackson; A Suomi; T Lavis; S A Thomas; J Patford; P Harvey; M Battersby; J Koziol-McLain; M Abbott; M E Bellringer
Journal:  Addict Behav       Date:  2014-07-10       Impact factor: 3.913

5.  Upping the Reinforcement Rate by Playing the Maximum Lines in Multi-line Slot Machine Play.

Authors:  Jeffrey A Templeton; Mike J Dixon; Kevin A Harrigan; Jonathan A Fugelsang
Journal:  J Gambl Stud       Date:  2015-09

6.  The South Oaks Gambling Screen (SOGS): a new instrument for the identification of pathological gamblers.

Authors:  H R Lesieur; S B Blume
Journal:  Am J Psychiatry       Date:  1987-09       Impact factor: 18.112

7.  Disordered gambling among higher-frequency gamblers: who is at risk?

Authors:  D C Hodgins; D P Schopflocher; C R Martin; N el-Guebaly; D M Casey; S R Currie; G J Smith; R J Williams
Journal:  Psychol Med       Date:  2012-04-13       Impact factor: 7.723

Review 8.  Prevalence of comorbid disorders in problem and pathological gambling: systematic review and meta-analysis of population surveys.

Authors:  Felicity K Lorains; Sean Cowlishaw; Shane A Thomas
Journal:  Addiction       Date:  2011-03       Impact factor: 6.526

9.  Alcohol and drug use, smoking, and gambling among psychiatric outpatients: a 1-year prevalence study.

Authors:  Christina Nehlin; Leif Grönbladh; Anders Fredriksson; Lennart Jansson
Journal:  Subst Abus       Date:  2013       Impact factor: 3.716

10.  Shifts in reinforcement signalling while playing slot-machines as a function of prior experience and impulsivity.

Authors:  R Shao; J Read; T E J Behrens; R D Rogers
Journal:  Transl Psychiatry       Date:  2013-02-26       Impact factor: 6.222

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  11 in total

1.  Gambling and Problem Gambling in Canada in 2018: Prevalence and Changes Since 2002.

Authors:  Robert J Williams; Carrie A Leonard; Yale D Belanger; Darren R Christensen; Nady El-Guebaly; David C Hodgins; Daniel S McGrath; Fiona Nicoll; Rhys M G Stevens
Journal:  Can J Psychiatry       Date:  2020-12-23       Impact factor: 4.356

2.  Life Interference Due to Gambling in Three Canadian Provinces.

Authors:  Tracie O Afifi; Jitender Sareen; Tamara Taillieu; Sarah Turner; Janique Fortier
Journal:  J Gambl Stud       Date:  2019-06

3.  Predictors of gambling and problem gambling in Canada.

Authors:  Robert J Williams; Carrie A Leonard; Yale D Belanger; Darren R Christensen; Nady El-Guebaly; David C Hodgins; Daniel S McGrath; Fiona Nicoll; Garry J Smith; Rhys M G Stevens
Journal:  Can J Public Health       Date:  2021-01-13

4.  A Pilot Evaluation of a Tutorial to Teach Clients and Clinicians About Gambling Game Design.

Authors:  Nigel E Turner; Janine Robinson; Kevin Harrigan; Peter Ferentzy; Farah Jindani
Journal:  Int J Ment Health Addict       Date:  2017-11-09       Impact factor: 3.836

5.  Trends in gambling participation and gambling severity among Finnish men and women: cross-sectional population surveys in 2007, 2010 and 2015.

Authors:  Sari Castrén; Maria Heiskanen; Anne H Salonen
Journal:  BMJ Open       Date:  2018-08-23       Impact factor: 2.692

6.  Obtaining quality data using behavioral measures of impulsivity in gambling research with Amazon's Mechanical Turk.

Authors:  Magdalen G Schluter; Hyoun S Kim; David C Hodgins
Journal:  J Behav Addict       Date:  2018-12-06       Impact factor: 6.756

7.  Regulatory Policies for Alcohol, other Psychoactive Substances and Addictive Behaviours: The Role of Level of Use and Potency. A Systematic Review.

Authors:  Jürgen Rehm; Jean-François Crépault; Omer S M Hasan; Dirk W Lachenmeier; Robin Room; Bundit Sornpaisarn
Journal:  Int J Environ Res Public Health       Date:  2019-10-04       Impact factor: 3.390

8.  Gambling formats, involvement, and problem gambling: which types of gambling are more risky?

Authors:  Alissa Mazar; Martha Zorn; Nozipho Becker; Rachel A Volberg
Journal:  BMC Public Health       Date:  2020-05-18       Impact factor: 3.295

9.  Concurrent Disorders and Decision-Making in Electronic Gaming Machine Gamblers.

Authors:  Retina Rimal; Robin-Marie Shepherd; Louise Elizabeth Curley; Frederick Sundram
Journal:  J Gambl Stud       Date:  2021-06-14

10.  Reaching Out to Big Losers: How Different Types of Gamblers are Affected by a Brief Motivational Contact Initiated by the Gambling Provider.

Authors:  Jakob Jonsson; David C Hodgins; Ingrid Munck; Per Carlbring
Journal:  J Gambl Stud       Date:  2020-09-21
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