• Admin Login
    View Item 
    •   Home
    • Faculty of Education, Health and Wellbeing
    • Faculty of Education, Health and Wellbeing
    • View Item
    •   Home
    • Faculty of Education, Health and Wellbeing
    • Faculty of Education, Health and Wellbeing
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of WIRECommunitiesTitleAuthorsIssue DateSubmit DateSubjectsTypesJournalDepartmentPublisherThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsTypesJournalDepartmentPublisher

    Administrators

    Admin Login

    Local Links

    AboutThe University LibraryOpen Access Publications PolicyDeposit LicenceCOREWIRE Copyright and Reuse Information

    Statistics

    Display statistics

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

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Final_submitted_Lloyd_et_al_20 ...
    Size:
    480.4Kb
    Format:
    PDF
    Download
    Average rating
     
       votes
    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.
    Star rating
     
    Your vote was cast
    Thank you for your feedback
    Authors
    Lloyd, Joanne
    Doll, Helen
    Hawton, Keith
    Dutton, William H
    Geddes, John R
    Goodwin, Guy M
    Rogers, Robert D
    Issue Date
    2010-09
    
    Metadata
    Show full item record
    Abstract
    In 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.
    Citation
    Internet gamblers: a latent class analysis of their behaviours and health experiences. 2010, 26 (3):387-99 J Gambl Stud
    Publisher
    Springer Link
    Journal
    Journal of gambling studies
    URI
    http://hdl.handle.net/2436/621438
    DOI
    10.1007/s10899-010-9188-y
    PubMed ID
    20422442
    Type
    Journal article
    Language
    en
    ISSN
    1573-3602
    Sponsors
    joint funded by the Economic and Social Research Council (RES-164-25-0008) and the Responsibility in Gambling Trust
    ae974a485f413a2113503eed53cd6c53
    10.1007/s10899-010-9188-y
    Scopus Count
    Collections
    Faculty of Education, Health and Wellbeing

    entitlement

    Related articles

    • 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

    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.