291 related articles for article (PubMed ID: 30338605)
1. Typology of online lotteries and scratch games gamblers' behaviours: A multilevel latent class cluster analysis applied to player account-based gambling data.
Perrot B; Hardouin JB; Grall-Bronnec M; Challet-Bouju G
Int J Methods Psychiatr Res; 2018 Dec; 27(4):e1746. PubMed ID: 30338605
[TBL] [Abstract][Full Text] [Related]
2. Internet gamblers: a latent class analysis of their behaviours and health experiences.
Lloyd J; Doll H; Hawton K; Dutton WH; Geddes JR; Goodwin GM; Rogers RD
J Gambl Stud; 2010 Sep; 26(3):387-99. PubMed ID: 20422442
[TBL] [Abstract][Full Text] [Related]
3. Virtual addictions: An examination of problematic social casino game use among at-risk gamblers.
Gainsbury SM; King DL; Russell AM; Delfabbro P; Hing N
Addict Behav; 2017 Jan; 64():334-339. PubMed ID: 26739340
[TBL] [Abstract][Full Text] [Related]
4. Gambler clusters and problem gambling severity: A cluster analysis of Swedish gamblers accessing an online problem gambling screener.
Wall H; Berman AH; Jayaram-Lindström N; Hellner C; Rosendahl I
Psychol Addict Behav; 2021 Feb; 35(1):102-112. PubMed ID: 32614206
[TBL] [Abstract][Full Text] [Related]
5. A Gamblers Clustering Based on Their Favorite Gambling Activity.
Challet-Bouju G; Hardouin JB; Renard N; Legauffre C; Valleur M; Magalon D; Fatséas M; Chéreau-Boudet I; Gorsane MA; ; Vénisse JL; Grall-Bronnec M
J Gambl Stud; 2015 Dec; 31(4):1767-88. PubMed ID: 25192752
[TBL] [Abstract][Full Text] [Related]
6. Effectiveness of At-Risk Gamblers' Temporary Self-Exclusion from Internet Gambling Sites.
Caillon J; Grall-Bronnec M; Perrot B; Leboucher J; Donnio Y; Romo L; Challet-Bouju G
J Gambl Stud; 2019 Jun; 35(2):601-615. PubMed ID: 29974308
[TBL] [Abstract][Full Text] [Related]
7. Internet Gamblers Differ on Social Variables: A Latent Class Analysis.
Khazaal Y; Chatton A; Achab S; Monney G; Thorens G; Dufour M; Zullino D; Rothen S
J Gambl Stud; 2017 Sep; 33(3):881-897. PubMed ID: 28028687
[TBL] [Abstract][Full Text] [Related]
8. [Psychopathology in online pathological gamblers: a preliminary study].
Barrault S; Varescon I
Encephale; 2012 Apr; 38(2):156-63. PubMed ID: 22516274
[TBL] [Abstract][Full Text] [Related]
9. Mental Health and Online, Land-Based and Mixed Gamblers.
Blaszczynski A; Russell A; Gainsbury S; Hing N
J Gambl Stud; 2016 Mar; 32(1):261-75. PubMed ID: 25744658
[TBL] [Abstract][Full Text] [Related]
10. Clustering Finnish Gambler Profiles Based on the Money and Time Consumed in Gambling Activities.
Heiskanen M; Toikka A
J Gambl Stud; 2016 Jun; 32(2):363-77. PubMed ID: 26026988
[TBL] [Abstract][Full Text] [Related]
11. Where Lies the Harm in Lottery Gambling? A Portrait of Gambling Practices and Associated Problems.
Costes JM; Kairouz S; Monson E; Eroukmanoff V
J Gambl Stud; 2018 Dec; 34(4):1293-1311. PubMed ID: 29536292
[TBL] [Abstract][Full Text] [Related]
12. Problem and non-problem gamblers: a cross-sectional clustering study by gambling characteristics.
Guillou Landreat M; Chereau Boudet I; Perrot B; Romo L; Codina I; Magalon D; Fatseas M; Luquiens A; Brousse G; Challet-Bouju G; Grall-Bronnec M;
BMJ Open; 2020 Feb; 10(2):e030424. PubMed ID: 32075821
[TBL] [Abstract][Full Text] [Related]
13. Are online gamblers more at risk than offline gamblers?
Kairouz S; Paradis C; Nadeau L
Cyberpsychol Behav Soc Netw; 2012 Mar; 15(3):175-80. PubMed ID: 22132932
[TBL] [Abstract][Full Text] [Related]
14. Chasing losses in online poker and casino games: characteristics and game play of Internet gamblers at risk of disordered gambling.
Gainsbury SM; Suhonen N; Saastamoinen J
Psychiatry Res; 2014 Jul; 217(3):220-5. PubMed ID: 24746392
[TBL] [Abstract][Full Text] [Related]
15. Greater involvement and diversity of Internet gambling as a risk factor for problem gambling.
Gainsbury SM; Russell A; Blaszczynski A; Hing N
Eur J Public Health; 2015 Aug; 25(4):723-8. PubMed ID: 25745873
[TBL] [Abstract][Full Text] [Related]
16. Development and validation of a prediction model for online gambling problems based on players' account data.
Perrot B; Hardouin JB; Thiabaud E; Saillard A; Grall-Bronnec M; Challet-Bouju G
J Behav Addict; 2022 Sep; 11(3):874-889. PubMed ID: 36125924
[TBL] [Abstract][Full Text] [Related]
17. Modeling Early Gambling Behavior Using Indicators from Online Lottery Gambling Tracking Data: Longitudinal Analysis.
Challet-Bouju G; Hardouin JB; Thiabaud E; Saillard A; Donnio Y; Grall-Bronnec M; Perrot B
J Med Internet Res; 2020 Aug; 22(8):e17675. PubMed ID: 32254041
[TBL] [Abstract][Full Text] [Related]
18. Study protocol for a transversal study to develop a screening model for excessive gambling behaviours on a representative sample of users of French authorised gambling websites.
Perrot B; Hardouin JB; Costes JM; Caillon J; Grall-Bronnec M; Challet-Bouju G
BMJ Open; 2017 May; 7(5):e014600. PubMed ID: 28515192
[TBL] [Abstract][Full Text] [Related]
19. Using cross-game behavioral markers for early identification of high-risk internet gamblers.
Braverman J; LaPlante DA; Nelson SE; Shaffer HJ
Psychol Addict Behav; 2013 Sep; 27(3):868-77. PubMed ID: 24059836
[TBL] [Abstract][Full Text] [Related]
20. Impact of wagering inducements on the gambling behaviors of on-line gamblers: A longitudinal study based on gambling tracking data.
Balem M; Perrot B; Hardouin JB; Thiabaud E; Saillard A; Grall-Bronnec M; Challet-Bouju G
Addiction; 2022 Apr; 117(4):1020-1034. PubMed ID: 34374151
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
