Literature DB >> 24317705

Are poker players all the same? Latent class analysis.

Magali Dufour1, Natacha Brunelle, Élise Roy.   

Abstract

Poker is the gambling game that is currently gaining the most in popularity. However, there is little information on poker players' characteristics and risk factors. Furthermore, the first studies described poker players, often recruited in universities, as an homogeneous group who played in only one of the modes (land based or on the Internet). This study aims to identify, through latent class analyses, poker player subgroups. A convenience sample of 258 adult poker players was recruited across Quebec during special events or through advertising in various media. Participants filled out a series of questionnaires (Canadian Problem Gambling Index, Beck Depression, Beck Anxiety, erroneous belief and alcohol/drug consumption). The latent class analysis suggests that there are three classes of poker players. Class I (recreational poker players) includes those who have the lowest probability of engaging intensively in different game modes. Participants in class II (Internet poker players) all play poker on the Internet. This class includes the highest proportion of players who consider themselves experts or professionals. They make a living in part or in whole from poker. Class III (multiform players) includes participants with the broadest variety of poker patterns. This group is complex: these players are positioned halfway between professional and recreational players. Results indicate that poker players are not an homogeneous group identified simply on the basis of the form of poker played. The specific characteristics associated with each subgroup points to vulnerabilities that could potentially be targeted for preventive interventions.

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Mesh:

Year:  2015        PMID: 24317705     DOI: 10.1007/s10899-013-9429-y

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


  13 in total

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Journal:  J Gambl Stud       Date:  2013-03

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4.  A Latent Class Analysis (LCA) of problem gambling among a sample of community-recruited gamblers.

Authors:  Renee M Cunningham-Williams; Song Iee Hong
Journal:  J Nerv Ment Dis       Date:  2007-11       Impact factor: 2.254

5.  Social and psychological challenges of poker.

Authors:  Kyle Siler
Journal:  J Gambl Stud       Date:  2010-09

6.  Poker mania and problem gambling: a study of distorted cognitions, motivation and alexithymia.

Authors:  Dana V Mitrovic; Jac Brown
Journal:  J Gambl Stud       Date:  2009-08-01

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Authors:  A T Beck; N Epstein; G Brown; R A Steer
Journal:  J Consult Clin Psychol       Date:  1988-12

8.  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

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Journal:  Encephale       Date:  1994 Jan-Feb       Impact factor: 1.291

10.  Longitudinal patterns of gambling activities and associated risk factors in college students.

Authors:  Anna E Goudriaan; Wendy S Slutske; Jennifer L Krull; Kenneth J Sher
Journal:  Addiction       Date:  2009-05-11       Impact factor: 6.526

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  8 in total

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Journal:  J Gambl Stud       Date:  2016-09

2.  One-Year Prospective Study on Passion and Gambling Problems in Poker Players.

Authors:  Adèle Morvannou; Magali Dufour; Natacha Brunelle; Djamal Berbiche; Élise Roy
Journal:  J Gambl Stud       Date:  2018-06

3.  Gambling Problem Trajectories and Associated Individuals Risk Factors: A Three-Year Follow-Up Study Among Poker Players.

Authors:  Magali Dufour; Adèle Morvannou; Natacha Brunelle; Sylvia Kairouz; Émélie Laverdière; Louise Nadeau; Djamal Berbiche; Élise Roy
Journal:  J Gambl Stud       Date:  2020-03

4.  Increased ventral-striatal activity during monetary decision making is a marker of problem poker gambling severity.

Authors:  Damien Brevers; Xavier Noël; Qinghua He; James A Melrose; Antoine Bechara
Journal:  Addict Biol       Date:  2015-03-17       Impact factor: 4.280

5.  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

6.  Comparative analysis of distinct phenotypes in gambling disorder based on gambling preferences.

Authors:  Laura Moragas; Roser Granero; Randy Stinchfield; Fernando Fernández-Aranda; Frida Fröberg; Neus Aymamí; Mónica Gómez-Peña; Ana B Fagundo; Mohammed A Islam; Amparo Del Pino-Gutiérrez; Zaida Agüera; Lamprini G Savvidou; Jon Arcelus; Gemma L Witcomb; Sarah Sauchelli; José M Menchón; Susana Jiménez-Murcia
Journal:  BMC Psychiatry       Date:  2015-04-15       Impact factor: 3.630

7.  Second Session at the Virtual Poker Table: A Contemporary Study of Actual Online Poker Activity.

Authors:  Matthew A Tom; Timothy C Edson; Eric R Louderback; Sarah E Nelson; Karen A Amichia; Debi A LaPlante
Journal:  J Gambl Stud       Date:  2022-07-27

8.  Factors associated with social casino gaming among adolescents across game types.

Authors:  Livia Veselka; Rochelle Wijesingha; Scott T Leatherdale; Nigel E Turner; Tara Elton-Marshall
Journal:  BMC Public Health       Date:  2018-10-11       Impact factor: 3.295

  8 in total

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