Literature DB >> 30778815

Predictors of Gamblers Beliefs About Responsible Gambling Measures.

Jonny Engebø1,2, Torbjørn Torsheim3,4, Rune Aune Mentzoni3,4, Helge Molde4,5, Ståle Pallesen3,4.   

Abstract

Responsible gambling (RG) measures are methods aimed at reducing and preventing negative consequences associated with gambling. Some RG measures are set by authorities or gambling operators while others are available as features for gamblers to use themselves (e.g. budget tools where personal monetary limits are set prior to gambling). The present study is based on a general gambler population and investigates how RG measures with some specific RG features are assessed by the gamblers. The data was collected in 2013 and 2015. The samples were drawn from the Norwegian Population Registry. In total 9129 gamblers participated. Gamblers were asked to state to which degree they agreed that ten specific RG measures help or would help them controlling their gambling. Overall, between 35 and 42% neither agreed nor disagreed, but among those with an opinion, most agreed. A multiple regression analysis identified eleven variables as significant predictors of positive beliefs about RG measures: female gender, young age, playing random games only, being a moderate risk or problem gambler, reporting high impact from gambling advertisements as well as the personality traits agreeableness, openness and neuroticism. Playing low risk games only, reporting a high amount of spending on gambling and the personality trait extraversion were inversely related to positive beliefs about RG measures. The total explained variance was however only 7.1%. Positive beliefs about RG measures can relate to needs for external based countermeasures to minimize or reduce problems. Negative views may reflect a wish to play without obstacles, take risks or to trust in self-control.

Entities:  

Keywords:  Gambling; Gambling problems; Harm reduction; Pre-commitment; Prevention; Responsible gambling

Mesh:

Year:  2019        PMID: 30778815     DOI: 10.1007/s10899-019-09835-2

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


  14 in total

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Journal:  J Gambl Stud       Date:  2011-12

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Journal:  Dev Rev       Date:  2008-03

4.  Impact of mode of display and message content of responsible gambling signs for electronic gaming machines on regular gamblers.

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Journal:  J Gambl Stud       Date:  2010-03

5.  The relationships between behavioral addictions and the five-factor model of personality.

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Journal:  J Behav Addict       Date:  2013-06       Impact factor: 6.756

6.  Understanding Positive Play: An Exploration of Playing Experiences and Responsible Gambling Practices.

Authors:  Richard T A Wood; Mark D Griffiths
Journal:  J Gambl Stud       Date:  2015-12

7.  Disordered gambling among racial and ethnic groups in the US: results from the national epidemiologic survey on alcohol and related conditions.

Authors:  A A Alegria; N M Petry; D S Hasin; Shang-Min Liu; B F Grant; C Blanco
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8.  Problem gambling and the five-factor model of personality: a large population-based study.

Authors:  Geir Scott Brunborg; Daniel Hanss; Rune Aune Mentzoni; Helge Molde; Ståle Pallesen
Journal:  Addiction       Date:  2016-05-05       Impact factor: 6.526

9.  Blue gum gaming machine: an evaluation of responsible gambling features.

Authors:  Alexander Blaszczynski; Sally Gainsbury; Lisa Karlov
Journal:  J Gambl Stud       Date:  2014-09

10.  Measuring Responsible Gambling amongst Players: Development of the Positive Play Scale.

Authors:  Richard T A Wood; Michael J A Wohl; Nassim Tabri; Kahlil Philander
Journal:  Front Psychol       Date:  2017-02-23
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  3 in total

1.  Gamblers' use of measures to prevent gambling problems and reduce harm.

Authors:  Jonny Engebø; Torbjørn Torsheim; Ståle Pallesen
Journal:  Front Psychiatry       Date:  2022-07-27       Impact factor: 5.435

2.  Regulatory Measures' Effect on Gambling Participation: Experiences From Norway.

Authors:  Jonny Engebø; Torbjørn Torsheim; Ståle Pallesen
Journal:  Front Psychiatry       Date:  2021-06-30       Impact factor: 4.157

3.  Gamblers' Perception of the Playscan Risk Assessment: A Mixed-Methods Study.

Authors:  David Forsström; Alexander Rozental; Emma Wiklund; Per Carlbring; Philip Lindner
Journal:  J Gambl Stud       Date:  2021-06-05
  3 in total

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