Literature DB >> 23097131

An empirical study of gender differences in online gambling.

Abby McCormack1, Gillian W Shorter, Mark D Griffiths.   

Abstract

Gambling has typically been considered a predominately male activity. However, recent prevalence surveys have shown greater numbers of females are now gambling. Much of the gambling literature suggests online gamblers are more likely to be male, and that problem gamblers are more likely to be male. Males and females are also likely to be gambling for different reasons and have a preference for different gambling activities. Little is known about the pattern of play among female online gamblers. The aim of this survey was to develop a better profile of female online gamblers and to examine any gender differences between males and females in terms of how and why they gamble online, their frequency of online gambling, patterns of play, as well as attitudes to online gambling. The survey was posted on 32 international online gambling websites and was completed by 975 online gamblers (including 175 female online gamblers). Chi-square tests of association were conducted to examine the association between gender and a range of variables. The results showed that females had been gambling online for a shorter duration of time than males, had much shorter online gambling sessions, different motivations for gambling online (i.e., to practice for free, to spend less money and out of boredom), and experienced online gambling differently to males, with increased feelings of guilt and shame for gambling online. This suggests there is still a stigma around gambling particularly evident among females in this study. The findings indicate that clinicians and treatment providers need to be aware of these potential gender differences in online gambling to develop appropriately tailored interventions.

Mesh:

Year:  2014        PMID: 23097131     DOI: 10.1007/s10899-012-9341-x

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


  27 in total

1.  Prevalence and risks of pathological gambling in Sweden.

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Review 3.  An international perspective on youth gambling prevalence studies.

Authors:  Rachel A Volberg; Rina Gupta; Mark D Griffiths; Daniel T Olason; Paul Delfabbro
Journal:  Int J Adolesc Med Health       Date:  2010 Jan-Mar

4.  Acquisition, development, and maintenance of online poker playing in a student sample.

Authors:  Richard T A Wood; Mark D Griffiths; Jonathan Parke
Journal:  Cyberpsychol Behav       Date:  2007-06

5.  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

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Authors:  G Anderson; R I Brown
Journal:  Br J Psychol       Date:  1984-08

7.  Internet gamblers: a latent class analysis of their behaviours and health experiences.

Authors:  Joanne Lloyd; Helen Doll; Keith Hawton; William H Dutton; John R Geddes; Guy M Goodwin; Robert D Rogers
Journal:  J Gambl Stud       Date:  2010-09

8.  Comorbidity of DSM-IV pathological gambling and other psychiatric disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions.

Authors:  Nancy M Petry; Frederick S Stinson; Bridget F Grant
Journal:  J Clin Psychiatry       Date:  2005-05       Impact factor: 4.384

9.  Gender differences in pathological gamblers seeking medication treatment.

Authors:  Jon E Grant; Suck Won Kim
Journal:  Compr Psychiatry       Date:  2002 Jan-Feb       Impact factor: 3.735

10.  Sociodemographic correlates of internet gambling: findings from the 2007 british gambling prevalence survey.

Authors:  Mark Griffiths; Heather Wardle; Jim Orford; Kerry Sproston; Bob Erens
Journal:  Cyberpsychol Behav       Date:  2009-04
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  40 in total

1.  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

2.  Is a sense of community belonging associated with problem gambling in Canada?

Authors:  Masato Izutsu; Etsuji Suzuki
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2021-02-14       Impact factor: 4.328

3.  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

4.  From adolescent to adult gambling: an analysis of longitudinal gambling patterns in South Australia.

Authors:  Paul Delfabbro; Daniel King; Mark D Griffiths
Journal:  J Gambl Stud       Date:  2014-09

5.  Italian Adult Gambling Behavior: At Risk and Problem Gambler Profiles.

Authors:  Cesare Cavalera; Luca Bastiani; Pamela Gusmeroli; Adelmo Fiocchi; Francesco Pagnini; Enrico Molinari; Gianluca Castelnuovo; Sabrina Molinaro
Journal:  J Gambl Stud       Date:  2018-09

6.  On the Spur of the Moment: Intrinsic Predictors of Impulse Sports Betting.

Authors:  Nerilee Hing; En Li; Peter Vitartas; Alex M T Russell
Journal:  J Gambl Stud       Date:  2018-06

7.  Internet Gamblers Differ on Social Variables: A Latent Class Analysis.

Authors:  Yasser Khazaal; Anne Chatton; Sophia Achab; Gregoire Monney; Gabriel Thorens; Magali Dufour; Daniele Zullino; Stephane Rothen
Journal:  J Gambl Stud       Date:  2017-09

8.  Gender Differences in Self-Conscious Emotions and Motivation to Quit Gambling.

Authors:  Vladyslav Kushnir; Alexandra Godinho; David C Hodgins; Christian S Hendershot; John A Cunningham
Journal:  J Gambl Stud       Date:  2016-09

Review 9.  Differences in problem and pathological gambling: A narrative review considering sex and gender.

Authors:  Corinna Gartner; Andreas Bickl; Sabine Härtl; Johanna K Loy; Laura Häffner
Journal:  J Behav Addict       Date:  2022-05-02       Impact factor: 7.772

10.  Impact of wagering inducements on the gambling behaviors of on-line gamblers: A longitudinal study based on gambling tracking data.

Authors:  Marianne Balem; Bastien Perrot; Jean-Benoit Hardouin; Elsa Thiabaud; Anaïs Saillard; Marie Grall-Bronnec; Gaëlle Challet-Bouju
Journal:  Addiction       Date:  2021-09-23       Impact factor: 7.256

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