Literature DB >> 34061293

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

N A Dowling1,2, G J Youssef3,4, C Greenwood3,4, S S Merkouris3, A Suomi5,6, R Room7,8.   

Abstract

An emerging literature has identified optimal low-risk gambling limits in an effort to reduce gambling-related harm. Concerns have, however, been raised about the construction of aggregate low-risk limits that are applied to all gambling activities and there is support from gambling experts and the general public in Australia for the identification of low-risk limits for specific gambling activities. The study's aim was to identify and evaluate a set of empirically-based activity-specific limits (gambling frequency, gambling expenditure, gambling expenditure as a proportion of gross personal income, session expenditure, session duration) in a secondary analysis of Social and Economic Impact Studies of Gambling in Tasmania and the 2014 Survey on Gambling, Health and Wellbeing in the ACT. Balancing sensitivity and specificity, limits were identified for all gambling activities: EGMs (10 times per year, AUD$300/year, 0.63-1.04% of personal income, AUD$35 per session, 40 min/session), horse/dog racing (0.55% of personal income), instant scratch tickets (AUD$45/year), lotteries (0.45% of personal income), keno (4-13 times/year, AUD$45-$160/year), casino table games (AUD$345/year, 0.36-0.76% of personal income), bingo (AUD$150/year, 0.49% of personal income, AUD$17/session, 90 min/session), and sports/other event betting (14 times/year, AUD$400/year, 0.55-0.86% of personal income). These limits were exceeded by one-quarter to one-half of gamblers on these specific activities and were generally good predictors of gambling-related harm in subgroups of gamblers participating in these gambling activities and in the overall gambling sample. The limits provide gamblers, regulators, prevention workers, and researchers with simple rules of thumb in prevention efforts to reduce gambling-related harm in specific contexts.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Gambling; Guidelines; Harm; Limits; Low-risk; Responsible gambling

Mesh:

Year:  2021        PMID: 34061293     DOI: 10.1007/s10899-021-10036-z

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


  14 in total

1.  Thresholds of probable problematic gambling involvement for the German population: Results of the Pathological Gambling and Epidemiology (PAGE) Study.

Authors:  Tim Brosowski; Tobias Hayer; Gerhard Meyer; Hans-Jürgen Rumpf; Ulrich John; Anja Bischof; Christian Meyer
Journal:  Psychol Addict Behav       Date:  2015-09

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.  Replication of low-risk gambling limits using canadian provincial gambling prevalence data.

Authors:  Shawn R Currie; David C Hodgins; JianLi Wang; Nady el-Guebaly; Harold Wynne; Natalie V Miller
Journal:  J Gambl Stud       Date:  2008-03-04

4.  Examining the predictive validity of low-risk gambling limits with longitudinal data.

Authors:  Shawn R Currie; David C Hodgins; David M Casey; Nady el-Guebaly; Garry J Smith; Robert J Williams; Don P Schopflocher; Robert T Wood
Journal:  Addiction       Date:  2011-10-26       Impact factor: 6.526

5.  Deriving low-risk gambling limits from longitudinal data collected in two independent Canadian studies.

Authors:  Shawn R Currie; David C Hodgins; David M Casey; Nady El-Guebaly; Garry J Smith; Robert J Williams; Don P Schopflocher
Journal:  Addiction       Date:  2017-07-20       Impact factor: 6.526

6.  Identifying indicators of harmful and problem gambling in a Canadian sample through receiver operating characteristic analysis.

Authors:  Lena C Quilty; Daniela Avila Murati; R Michael Bagby
Journal:  Psychol Addict Behav       Date:  2013-05-06

7.  Three questions can detect hazardous drinkers.

Authors:  A J Gordon; S A Maisto; M McNeil; K L Kraemer; R L Conigliaro; M E Kelley; J Conigliaro
Journal:  J Fam Pract       Date:  2001-04       Impact factor: 0.493

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

Authors:  Paul Delfabbro; Daniel L King; Matthew Browne; Nicki A Dowling
Journal:  J Gambl Stud       Date:  2020-04-18

9.  The relationship between player losses and gambling-related harm: evidence from nationally representative cross-sectional surveys in four countries.

Authors:  Francis Markham; Martin Young; Bruce Doran
Journal:  Addiction       Date:  2015-11-16       Impact factor: 6.526

10.  National estimates of Australian gambling prevalence: f indings from a dual-frame omnibus survey.

Authors:  N A Dowling; G J Youssef; A C Jackson; D W Pennay; K L Francis; A Pennay; D I Lubman
Journal:  Addiction       Date:  2015-11-06       Impact factor: 6.526

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