Internet gamblers: a latent class analysis of their behaviours and health experiences.
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Dutton, William H
Geddes, John R
Goodwin, Guy M
Rogers, Robert D
MetadataShow full item record
AbstractIn order to learn about the behaviours and health experiences of people who gamble on the Internet, we conducted an international online survey with respondents recruited via gambling and gambling-related websites. The mean (SD) age of the 4,125 respondents completing the survey was 35.5 (11.8) years, with 79.1% being male and 68.8% UK residents. Respondents provided demographic details and completed validated psychometric screening instruments for problem gambling, mood disturbances, as well as alcohol and substance misuse, and history of deliberate self harm. We applied latent class analysis to respondents' patterns of regular online gambling activities, and identified subgroups of individuals who used the Internet to gamble in different ways (L (2) = 44.27, bootstrap P = 0.07). We termed the characteristic profiles as 'non-to-minimal gamblers'; 'sports bettors'; 'casino & sports gamblers'; 'lottery players'; and 'multi-activity gamblers'. Furthermore, these subgroups of respondents differed on other demographic and psychological dimensions, with significant inter-cluster differences in proportion of individuals scoring above threshold for problem gambling, mood disorders and substance misuse, and history of deliberate self harm (all Chi (2)s > 23.4, all P-values <0.001). The 'casino & sports' and 'multi-activity-gamblers' clusters had the highest prevalence of mental disorder. Internet gamblers appear to be heterogeneous but composed of several subgroups, differing markedly on both demographic and clinical characteristics.
CitationInternet gamblers: a latent class analysis of their behaviours and health experiences. 2010, 26 (3):387-99 J Gambl Stud
JournalJournal of gambling studies
Sponsorsjoint funded by the Economic and Social Research Council (RES-164-25-0008) and the Responsibility in Gambling Trust
- Mental Health and Online, Land-Based and Mixed Gamblers.
- Authors: Blaszczynski A, Russell A, Gainsbury S, Hing N
- Issue date: 2016 Mar
- Virtual addictions: An examination of problematic social casino game use among at-risk gamblers.
- Authors: Gainsbury SM, King DL, Russell AM, Delfabbro P, Hing N
- Issue date: 2017 Jan
- Latent Class Analysis of Gambling Activities in a Sample of Young Swiss Men: Association with Gambling Problems, Substance Use Outcomes, Personality Traits and Coping Strategies.
- Authors: Studer J, Baggio S, Mohler-Kuo M, Simon O, Daeppen JB, Gmel G
- Issue date: 2016 Jun
- Typology of online lotteries and scratch games gamblers' behaviours: A multilevel latent class cluster analysis applied to player account-based gambling data.
- Authors: Perrot B, Hardouin JB, Grall-Bronnec M, Challet-Bouju G
- Issue date: 2018 Dec
- Are online gamblers more at risk than offline gamblers?
- Authors: Kairouz S, Paradis C, Nadeau L
- Issue date: 2012 Mar