Keyword search (4,163 papers available)

"games" Keyword-tagged Publications:

Title Authors PubMed ID
1 Connect Brain, a Mobile App for Studying Depth Perception in Angiography Visualization: Gamification Study Titov A; Drouin S; Kersten-Oertel M; 41341989
ENCS
2 Education in Laparoscopic Cholecystectomy: Design and Feasibility Study of the LapBot Safe Chole Mobile Game Noroozi M; St John A; Masino C; Laplante S; Hunter J; Brudno M; Madani A; Kersten-Oertel M; 39052314
ENCS
3 LapBot-Safe Chole: validation of an artificial intelligence-powered mobile game app to teach safe cholecystectomy St John A; Khalid MU; Masino C; Noroozi M; Alseidi A; Hashimoto DA; Altieri M; Serrot F; Kersten-Oertal M; Madani A; 39009730
ENCS
4 Simulated Gambling: An Explorative Study Based on a Representative Survey Fiedler I; Ante L; Meduna MV; Steinmetz F; Kairouz S; Costes JM; 36757603
SOCANTH
5 Acceptability of Serious Games in Pediatric Asthma Education and Self-management: Pilot Study Silva-Lavigne N; Valderrama A; Pelaez S; Bransi M; Balli F; Gervais Y; Gaudy T; Tse SM; 35389354
CONCORDIA
6 Play the Pain: A Digital Strategy for Play-Oriented Research and Action Najmeh Khalili-Mahani 34975566
PERFORM
7 Reductions of Anxiety Symptoms, State Anxiety, and Anxious Arousal in Youth Playing the Videogame MindLight Compared to Online Cognitive Behavioral Therapy Tsui TYL; DeFrance K; Khalid-Khan S; Granic I; Hollenstein T; 34403591
PSYCHOLOGY
8 Multilevel Contextual Analysis of Poker Cash Game Gambling Dussault F; Brunelle N; Dufour M; Kairouz S; 33538954
PSYCHOLOGY
9 Digital Game Interventions for Youth Mental Health Services (Gaming My Way to Recovery): Protocol for a Scoping Review. Ferrari M, McIlwaine SV, Reynolds JA, Archie S, Boydell K, Lal S, Shah JL, Henderson J, Alvarez-Jimenez M, Andersson N, Boruff J, Nielsen RKL, Iyer SN 32579117
CONCORDIA
10 Reflective and Reflexive Stress Responses of Older Adults to Three Gaming Experiences In Relation to Their Cognitive Abilities: Mixed Methods Crossover Study. Khalili-Mahani N, Assadi A, Li K, Mirgholami M, Rivard ME, Benali H, Sawchuk K, De Schutter B 32213474
PERFORM
11 Exergaming in Youth and Young Adults: A Narrative Overview O' Loughlin EK; Dutczak H; Kakinami L; Consalvo M; McGrath JJ; Barnett TA; 32017864
PERFORM
12 Factors Associated with Sustained Exergaming: Longitudinal Investigation. O'Loughlin EK, Barnett TA, McGrath JJ, Consalvo M, Kakinami L 31368440
CONCORDIA
13 Affective Game Planning for Health Applications: Quantitative Extension of Gerontoludic Design Based on the Appraisal Theory of Stress and Coping. Khalili-Mahani N, De Schutter B 31172966
PERFORM

 

Title:Multilevel Contextual Analysis of Poker Cash Game Gambling
Authors:Dussault FBrunelle NDufour MKairouz S
Link:https://pubmed.ncbi.nlm.nih.gov/33538954/
DOI:10.1007/s10899-021-10009-2
Publication:Journal of gambling studies
Keywords:CanadaGamblingGambling locationsMultilevel analysisPoker cash games
PMID:33538954 Category:J Gambl Stud Date Added:2021-02-05
Dept Affiliation: PSYCHOLOGY
1 Department of Psychology, Université du Québec à Montréal, Montréal, QC, Canada.
2 Département de Psychoéducation, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada.
3 Department of Sociology and Anthropology, Concordia University, Montréal, QC, Canada. sylvia.kairouz@concordia.ca.

Description:

This article examines the effect of gambling location on the frequency, expenditure, and time spent on cash game poker in relation to individual characteristics of gamblers. Data were drawn from a 2012 Québec epidemiological gambling survey. The quantitative analysis used multilevel methods to model the dual-level hierarchical design of gambling location (level 1) and individual characteristics nested within poker cash game players (level 2). The sample was comprised of 270 individuals aged 18 years and above and living in private homes, who reported gambling on poker cash games in the past 12 months. Participants reported their gambling habits in up to three locations: private homes, the casino, and the Internet. Demographic data included age, gender, education level, and income. Significant variation was reported between the three locations and the gameplay patterns variables, i.e. betting frequency, time, and spending. The most frequently reported gambling locations were private dwellings (87.4%), followed by casinos (15.9%), and the Internet (13.7%). Some interactions between location and the demographic variables were observed. Moreover, the multilevel analysis revealed an important relationship between the location and poker cash gambling behavior. This study reveals the significance of contextual factors as a fundamental element in gambling behaviors and highlights the need for prevention strategies that target specific high-risk contexts rather than individually based interventions.





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