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Fiedler I, Ante L, Meduna MV, Steinmetz F, Kairouz S, Costes JM. Simulated Gambling: An Explorative Study Based on a Representative Survey. J Gambl Stud 2024; 40:255-274. [PMID: 36757603 DOI: 10.1007/s10899-023-10190-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/18/2023] [Indexed: 02/10/2023]
Abstract
Gambling usually involves wagering real money but can also be conducted with virtual money, chips, or coins. This phenomenon is sometimes referred to as simulated gambling, social gambling, or play money gambling. This study explores correlations and transitions between simulated gambling and real money gambling with an emphasis on gambling-related harms and public health concerns. The analysis is based on a national representative survey of 46,136 German Internet users which included 5,191 real money online gamblers (RMG), 54% of whom had also participated in simulated gambling (SG). The data set is divided into subsamples based on participation in SG to carve out significant differences in these groups in regard to various socio demographics, gambling patterns, and gambling problems. Regression models are used to predict RMG frequency, participation in SG, SG participation frequency, and problem gambling. The results show a clear proximity between SG and RMG with 17% of the total sample and 54% of problem gamblers reporting being "quite sure" or "certain" that simulated gambling had led them to gambling with real money. While 7% of individuals that engaged exclusively in RMG showed gambling problems, the rate is 33% for those that engaged in both RMG and SG. Regression results provide further evidence of a relationship between SG and problem gambling, although with differing effect sizes for different game forms. We argue that SG can be both a substitute and a primer for RMG, especially for problem gamblers.
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Affiliation(s)
- Ingo Fiedler
- Department of Sociology and Anthropology, Research Chair on Gambling, Concordia University, Montréal, Canada.
- Blockchain Research Lab, Hamburg, Germany.
| | | | - Marc von Meduna
- Department of Health and Society, Gambling Research, University of Bremen, Bremen, Germany
| | - Fred Steinmetz
- Blockchain Research Lab, Hamburg, Germany
- Faculty of Business, Economics & Social Sciences, Universität Hamburg, Hamburg, Germany
| | - Sylvia Kairouz
- Department of Sociology and Anthropology, Research Chair on Gambling, Concordia University, Montréal, Canada
| | - Jean-Michel Costes
- Department of Sociology and Anthropology, Research Chair on Gambling, Concordia University, Montréal, Canada
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Costes JM, Kairouz S, Fiedler I, Bartczuk RP, Lelonkek-Kuleta B, Minutillo A, Notari L. Online Gambling Practices and Related Problems in Five European Countries: Findings from the Electronic Gam(bl)ing Multinational Empirical Survey (E-GAMES) Project. J Gambl Stud 2023:10.1007/s10899-023-10229-8. [PMID: 37466781 DOI: 10.1007/s10899-023-10229-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/04/2023] [Indexed: 07/20/2023]
Abstract
Online gambling has demonstrated a significant and growing impact on overall gambling involvement. To examine online gambling practices and associated problems, we conducted surveys with national samples of Internet users in several European countries. The objective of this paper is to provide a portrait of online gambling practices and problems in five European countries (i.e., France, Italy, Germany, Switzerland, and Poland) with different online gambling regulatory systems. This paper is the first presenting national comparisons of online gambling practices. Participants reported on their gameplay patterns, demographic characteristics, gambling-related problems, gambling frequency, average spending on different online gambling activities, and offline gambling participation over the past 12 months. The Problem Gambling Severity Index was used to assess the severity of gambling problems in relation to online gambling (Ferris & Wynne, 2001 in The Canadian Problem Gambling Index: Final report, Canadian Centre on Substance Abuse, 2001). Pairwise logistic regressions examined the association between problem gambling and sociodemographic variables as well as gambling patterns and problem gambling. In all countries except Italy, the most popular online gambling activity was lotteries with nearly three quarters of participants reporting participation. The prevalence of at-risk and problem gambling was high in all countries with Poland reporting the highest prevalence and Switzerland the lowest. Gamblers who participated in gambling activities other than lottery were more likely to experience gambling-related problems. The rates in the present study are well above the levels usually found in surveys. High online gambling frequency, high spending, and participation in multiple online gambling activities were significantly associated with experiencing gambling-related problems.
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Affiliation(s)
- Jean-Michel Costes
- Research Chair on Gambling Studies, Concordia University, Montreal, Canada
| | - Sylvia Kairouz
- Research Chair on Gambling Studies, Concordia University, Montreal, Canada.
- Department of Sociology and Anthropology, Concordia University, Office S-H 1125-31, 1455 De Maisonneuve Blvd. West, Montreal, QC, H3G 1M8, Canada.
| | - Ingo Fiedler
- Research Chair on Gambling Studies, Concordia University, Montreal, Canada
| | - Rafal P Bartczuk
- Department of Psychology, The John Paul II Catholic University of Lublin, Lublin, Poland
| | | | | | - Luca Notari
- Research Institute, Addiction Switzerland, Vaud, Switzerland
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3
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Murch WS, Kairouz S, Dauphinais S, Picard E, Costes JM, French M. Using machine learning to retrospectively predict self-reported gambling problems in Quebec. Addiction 2023. [PMID: 36880253 DOI: 10.1111/add.16179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 02/15/2023] [Indexed: 03/08/2023]
Abstract
BACKGROUND AND AIMS Participating in online gambling is associated with an increased risk for experiencing gambling-related harms, driving calls for more effective, personalized harm prevention initiatives. Such initiatives depend on the development of models capable of detecting at-risk online gamblers. We aimed to determine whether machine learning algorithms can use site data to detect retrospectively at-risk online gamblers indicated by the Problem Gambling Severity Index (PGSI). DESIGN Exploratory comparison of six prominent supervised machine learning methods (decision trees, random forests, K-nearest neighbours, logistic regressions, artificial neural networks and support vector machines) to predict problem gambling risk levels reported on the PGSI. SETTING Lotoquebec.com (formerly espacejeux.com), an online gambling platform operated by Loto-Québec (a provincial Crown Corporation) in Quebec, Canada. PARTICIPANTS N = 9145 adults (18+) who completed the survey measure and placed at least one bet using real money on the site. MEASUREMENTS Participants completed the PGSI, a self-report questionnaire with validated cut-offs denoting a moderate-to-high-risk (PGSI 5+) or high-risk (PGSI 8+) for experiencing past-year gambling-related problems. Participants agreed to release additional data about the preceding 12 months from their user accounts. Predictor variables (144) were derived from users' transactions, apparent betting behaviours, listed demographics and use of responsible gambling tools on the platform. FINDINGS Our best classification models (random forests) for the PGSI 5+ and 8+ outcome variables accounted for 84.33% (95% CI = 82.24-86.41) and 82.52% (95% CI = 79.96-85.08) of the total area under their receiver operating characteristic curves, respectively. The most important factors in these models included the frequency and variability of participants' betting behaviour and repeat engagement on the site. CONCLUSIONS Machine learning algorithms appear to be able to classify at-risk online gamblers using data generated from their use of online gambling platforms. They may enable personalized harm prevention initiatives, but are constrained by trade-offs between their sensitivity and precision.
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Affiliation(s)
- W Spencer Murch
- Department of Sociology and Anthropology, Concordia University, Montreal, Quebec, Canada
| | - Sylvia Kairouz
- Department of Sociology and Anthropology, Concordia University, Montreal, Quebec, Canada
| | - Sophie Dauphinais
- Department of Sociology and Anthropology, Concordia University, Montreal, Quebec, Canada
| | - Elyse Picard
- Department of Sociology and Anthropology, Concordia University, Montreal, Quebec, Canada
| | - Jean-Michel Costes
- Department of Sociology and Anthropology, Concordia University, Montreal, Quebec, Canada
| | - Martin French
- Department of Sociology and Anthropology, Concordia University, Montreal, Quebec, Canada
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Luquiens A, Guillou M, Giustiniani J, Barrault S, Caillon J, Delmas H, Achab S, Bento B, Billieux J, Brevers D, Brody A, Brunault P, Challet-Bouju G, Chóliz M, Clark L, Cornil A, Costes JM, Devos G, Díaz R, Estevez A, Grassi G, Hakansson A, Khazaal Y, King DL, Labrador F, Lopez-Gonzalez H, Newall P, Perales JC, Ribadier A, Sescousse G, Sharman S, Taquet P, Varescon I, Von Hammerstein C, Bonjour T, Romo L, Grall-Bronnec M. Author Correction: Pictograms to aid laypeople in identifying the addictiveness of gambling products (PictoGRRed study). Sci Rep 2023; 13:3460. [PMID: 36859417 PMCID: PMC9977929 DOI: 10.1038/s41598-023-30530-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023] Open
Affiliation(s)
- Amandine Luquiens
- Department of Addictology, CHU Nîmes, Univ Montpellier, Nîmes, France. .,CESP, Univ. Paris-Sud, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France.
| | - Morgane Guillou
- EA 7479 SPURBO, CHRU BREST, Université de Bretagne Occidentale, Brest and Addictologie, Brest, France
| | | | - Servane Barrault
- grid.12366.300000 0001 2182 6141QualiPsy, EE 1901, Université de Tours, Tours, France ,grid.411167.40000 0004 1765 1600Service d’Addictologie Universitaire, CSAPA-37, CHRU de Tours, Tours, France
| | - Julie Caillon
- grid.277151.70000 0004 0472 0371Department of Addictology and Psychiatry Nantes, Inserm U1246, CHU Nantes, Université de Nantes, Université de Tours, Nantes, France
| | - Helena Delmas
- grid.488406.60000 0000 9139 4930Pôle Addiction et Précarité, Centre Hospitalier Guillaume Régnier, Rennes, France
| | - Sophia Achab
- grid.8591.50000 0001 2322 4988WHO Collaborating Centre for Treatment and Research in Mental Health, University of Geneva, Geneva, Switzerland
| | - Bruno Bento
- IAJ - Instituto de Apoio ao Jogador, Lda, Portugal
| | - Joël Billieux
- grid.9851.50000 0001 2165 4204Institute of Psychology, University of Lausanne, Lausanne, Switzerland ,grid.8515.90000 0001 0423 4662Addiction Medicine, Centre for Excessive Gambling, Lausanne University Hospitals (CHUV), Lausanne, Switzerland
| | - Damien Brevers
- Louvain Experimental Psychopathology (LEP), Psychological Science Research Institute, Louvain-La-Neuve, Belgium
| | | | - Paul Brunault
- grid.411167.40000 0004 1765 1600Service d’Addictologie Universitaire, Équipe de Liaison et de Soins en Addictologie, CHRU de Tours, Tours, France ,grid.12366.300000 0001 2182 6141UMR 1253, iBrain, Inserm, Université de Tours, Tours, France ,grid.12366.300000 0001 2182 6141QualiPsy, EE, Université de Tours, 1901 Tours, France
| | - Gaëlle Challet-Bouju
- grid.277151.70000 0004 0472 0371Department of Addictology and Psychiatry Nantes, Inserm U1246, CHU Nantes, Université de Nantes, Université de Tours, Nantes, France
| | - Mariano Chóliz
- grid.5338.d0000 0001 2173 938XGambling and Technological Addictions Research Unit, University of Valencia, Valencia, Spain
| | - Luke Clark
- grid.17091.3e0000 0001 2288 9830Department of Psychology, Centre for Gambling Research at UBC, University of British Columbia, Vancouver, BC Canada
| | - Aurélien Cornil
- Louvain Experimental Psychopathology (LEP), Psychological Science Research Institute, Louvain-La-Neuve, Belgium ,grid.8515.90000 0001 0423 4662Centre for Excessive Gambling, Université Catholique de Louvain, Lausanne University Hospitals (CHUV), Lausanne, Switzerland
| | | | - Gaetan Devos
- grid.490655.bGrand Hôpital de Charleroi (GHdC), Charleroi, Belgium ,grid.7942.80000 0001 2294 713XPsychological Science Research Institute, Université Catholique de Louvain, Louvain-la-Neuve, Belgium ,Scientific Research and Publication Cell (CRPS), Le Beau Vallon, Namur, Belgium ,grid.4989.c0000 0001 2348 0746Centre Hospitalier Le Domaine, ULB, Braine-L’Alleud, Belgium ,grid.420146.50000 0000 9479 661XService Universitaire d’Addictologie de Lyon (SUAL), CH Le Vinatier, 69500 Bron, France
| | - Rosa Díaz
- grid.410458.c0000 0000 9635 9413Child and Adolescent Psychiatry and Psychology Department, Hospital Clínic Universitari de Barcelona, Barcelona, Spain
| | - Ana Estevez
- grid.14724.340000 0001 0941 7046University of Deusto, Bilbao, Spain
| | | | - Anders Hakansson
- grid.4514.40000 0001 0930 2361Clinical Addiction Research Unit, Faculty of Medicine, Malmö Addiction Center, Lund University - Gambling Disorder Unit, Region Skåne, Sweden
| | - Yasser Khazaal
- grid.8515.90000 0001 0423 4662Addiction Medicine, Department of Psychiatry, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - Daniel L. King
- grid.1014.40000 0004 0367 2697College of Education, Psychology, & Social Work, Flinders University, Adelaide, Australia
| | - Francisco Labrador
- grid.4795.f0000 0001 2157 7667Faculty of Psychology, Complutense University, Madrid, Spain
| | - Hibai Lopez-Gonzalez
- grid.5841.80000 0004 1937 0247Faculty of Information and Communication, Universitat de Barcelona, Barcelona, Spain
| | - Philip Newall
- grid.1023.00000 0001 2193 0854CQUniversity, Bundaberg, Australia
| | - José C. Perales
- grid.4489.10000000121678994Department of Experimental Psychology Mind, Brain and Behavior Research Centre (CIMCYC), University of Granada, Granada, Spain
| | - Aurélien Ribadier
- grid.12366.300000 0001 2182 6141Département de Psychologie, EE 1901 - Equipe Qualipsy « Qualité de vie et Santé Psychologique », Université de Tours, Tours, France
| | - Guillaume Sescousse
- grid.7849.20000 0001 2150 7757Lyon Neuroscience Research Center—INSERM U1028—CNRS UMR5292, PSYR2 Team, University Lyon 1, Lyon, France
| | - Stephen Sharman
- grid.13097.3c0000 0001 2322 6764National Addiction Centre, King’s College, London, UK
| | - Pierre Taquet
- grid.410463.40000 0004 0471 8845Psychiatry and Addiction Medicine Department, CHU Lille, 59000 Lille, France ,grid.503422.20000 0001 2242 6780Univ. Lille, ULR, 4072 Lille, France ,PSITEC—Psychologie: Interactions Temps Émotions Cognition, 59000 Lille, France
| | - Isabelle Varescon
- grid.5842.b0000 0001 2171 2558Laboratoire de Psychopathologie et Processus de Santé, Université de Paris, 92100 Boulogne Billancourt, France
| | - Cora Von Hammerstein
- grid.29172.3f0000 0001 2194 6418APEMAC, Équipe EPSAM, Université de Lorraine, 57000 Metz, France
| | - Thierry Bonjour
- grid.411165.60000 0004 0593 8241Department of Addictology, CHU Nîmes, Univ Montpellier, Nîmes, France
| | - Lucia Romo
- grid.7902.c0000 0001 2156 4014EA 4430 Clipsyd, University Paris Nanterre, Nanterre, France
| | - Marie Grall-Bronnec
- grid.277151.70000 0004 0472 0371Department of Addictology and Psychiatry Nantes, Inserm U1246, CHU Nantes, Université de Nantes, Université de Tours, Nantes, France
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Kairouz S, Costes JM, Murch WS, Doray-Demers P, Carrier C, Eroukmanoff V. Enabling New Strategies to Prevent Problematic Online Gambling: A Machine Learning Approach for Identifying At-risk Online Gamblers in France. International Gambling Studies 2023. [DOI: 10.1080/14459795.2022.2164042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Sylvia Kairouz
- Department of Sociology & Anthropology, Concordia University, Montréal, Quebec, Canada
| | - Jean-Michel Costes
- Department of Sociology & Anthropology, Concordia University, Montréal, Quebec, Canada
- Observatoire des Jeux, Paris, France
| | - W. Spencer Murch
- Department of Sociology & Anthropology, Concordia University, Montréal, Quebec, Canada
| | - Pascal Doray-Demers
- Department of Sociology & Anthropology, Concordia University, Montréal, Quebec, Canada
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Luquiens A, Guillou M, Giustiniani J, Barrault S, Caillon J, Delmas H, Achab S, Bento B, Billieux J, Brevers D, Brody A, Brunault P, Challet-Bouju G, Chóliz M, Clark L, Cornil A, Costes JM, Devos G, Díaz R, Estevez A, Grassi G, Hakansson A, Khazaal Y, King DL, Labrador F, Lopez-Gonzalez H, Newall P, Perales JC, Ribadier A, Sescousse G, Sharman S, Taquet P, Varescon I, Von Hammerstein C, Bonjour T, Romo L, Grall-Bronnec M. Pictograms to aid laypeople in identifying the addictiveness of gambling products (PictoGRRed study). Sci Rep 2022; 12:22510. [PMID: 36581637 PMCID: PMC9800380 DOI: 10.1038/s41598-022-26963-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 12/22/2022] [Indexed: 12/30/2022] Open
Abstract
The structural addictive characteristics of gambling products are important targets for prevention, but can be unintuitive to laypeople. In the PictoGRRed (Pictograms for Gambling Risk Reduction) study, we aimed to develop pictograms that illustrate the main addictive characteristics of gambling products and to assess their impact on identifying the addictiveness of gambling products by laypeople. We conducted a three-step study: (1) use of a Delphi consensus method among 56 experts from 13 countries to reach a consensus on the 10 structural addictive characteristics of gambling products to be illustrated by pictograms and their associated definitions, (2) development of 10 pictograms and their definitions, and (3) study in the general population to assess the impact of exposure to the pictograms and their definitions (n = 900). French-speaking experts from the panel assessed the addictiveness of gambling products (n = 25), in which the mean of expert's ratings was considered as the true value. Participants were randomly provided with the pictograms and their definitions, or with a standard slogan, or with neither (control group). We considered the control group as representing the baseline ability of laypeople to assess the addictiveness of gambling products. Each group and the French-speaking experts rated the addictiveness of 14 gambling products. The judgment criterion was the intraclass coefficients (ICCs) between the mean ratings of each group and the experts, reflecting the level of agreement between each group and the experts. Exposure to the pictograms and their definition doubled the ability of laypeople to assess the addictiveness of gambling products compared with that of the group that read a slogan or the control group (ICC = 0.28 vs. 0.14 (Slogan) and 0.14 (Control)). Laypeople have limited awareness of the addictive characteristics of gambling products. The pictograms developed herein represent an innovative tool for universally empowering prevention and for selective prevention.
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Affiliation(s)
- Amandine Luquiens
- Department of Addictology, CHU Nîmes, Univ Montpellier, Nîmes, France. .,CESP, Univ. Paris-Sud, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France.
| | - Morgane Guillou
- EA 7479 SPURBO, CHRU BREST, Université de Bretagne Occidentale, Brest and Addictologie, Brest, France
| | | | - Servane Barrault
- QualiPsy, EE 1901, Université de Tours, Tours, France.,Service d'Addictologie Universitaire, CSAPA-37, CHRU de Tours, Tours, France
| | - Julie Caillon
- Department of Addictology and Psychiatry Nantes, Inserm U1246, CHU Nantes, Université de Nantes, Université de Tours, Nantes, France
| | - Helena Delmas
- Pôle Addiction et Précarité, Centre Hospitalier Guillaume Régnier, Rennes, France
| | - Sophia Achab
- WHO Collaborating Centre for Treatment and Research in Mental Health, University of Geneva, Geneva, Switzerland
| | - Bruno Bento
- IAJ - Instituto de Apoio ao Jogador, Lda, Portugal
| | - Joël Billieux
- Institute of Psychology, University of Lausanne, Lausanne, Switzerland.,Addiction Medicine, Centre for Excessive Gambling, Lausanne University Hospitals (CHUV), Lausanne, Switzerland
| | - Damien Brevers
- Louvain Experimental Psychopathology (LEP), Psychological Science Research Institute, Louvain-La-Neuve, Belgium
| | | | - Paul Brunault
- Service d'Addictologie Universitaire, Équipe de Liaison et de Soins en Addictologie, CHRU de Tours, Tours, France.,UMR 1253, iBrain, Inserm, Université de Tours, Tours, France.,QualiPsy, EE, Université de Tours, 1901, Tours, France
| | - Gaëlle Challet-Bouju
- Department of Addictology and Psychiatry Nantes, Inserm U1246, CHU Nantes, Université de Nantes, Université de Tours, Nantes, France
| | - Mariano Chóliz
- Gambling and Technological Addictions Research Unit, University of Valencia, Valencia, Spain
| | - Luke Clark
- Department of Psychology, Centre for Gambling Research at UBC, University of British Columbia, Vancouver, BC, Canada
| | - Aurélien Cornil
- Louvain Experimental Psychopathology (LEP), Psychological Science Research Institute, Louvain-La-Neuve, Belgium.,Centre for Excessive Gambling, Université Catholique de Louvain, Lausanne University Hospitals (CHUV), Lausanne, Switzerland
| | | | - Gaetan Devos
- Grand Hôpital de Charleroi (GHdC), Charleroi, Belgium.,Psychological Science Research Institute, Université Catholique de Louvain, Louvain-la-Neuve, Belgium.,Scientific Research and Publication Cell (CRPS), Le Beau Vallon, Namur, Belgium.,Centre Hospitalier Le Domaine, ULB, Braine-L'Alleud, Belgium.,Service Universitaire d'Addictologie de Lyon (SUAL), CH Le Vinatier, 69500, Bron, France
| | - Rosa Díaz
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clínic Universitari de Barcelona, Barcelona, Spain
| | | | | | - Anders Hakansson
- Clinical Addiction Research Unit, Faculty of Medicine, Malmö Addiction Center, Lund University - Gambling Disorder Unit, Region Skåne, Sweden
| | - Yasser Khazaal
- Addiction Medicine, Department of Psychiatry, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - Daniel L King
- College of Education, Psychology, & Social Work, Flinders University, Adelaide, Australia
| | | | - Hibai Lopez-Gonzalez
- Faculty of Information and Communication, Universitat de Barcelona, Barcelona, Spain
| | | | - José C Perales
- Department of Experimental Psychology Mind, Brain and Behavior Research Centre (CIMCYC), University of Granada, Granada, Spain
| | - Aurélien Ribadier
- Département de Psychologie, EE 1901 - Equipe Qualipsy « Qualité de vie et Santé Psychologique », Université de Tours, Tours, France
| | - Guillaume Sescousse
- Lyon Neuroscience Research Center-INSERM U1028-CNRS UMR5292, PSYR2 Team, University Lyon 1, Lyon, France
| | | | - Pierre Taquet
- Psychiatry and Addiction Medicine Department, CHU Lille, 59000, Lille, France.,Univ. Lille, ULR, 4072, Lille, France.,PSITEC-Psychologie: Interactions Temps Émotions Cognition, 59000, Lille, France
| | - Isabelle Varescon
- Laboratoire de Psychopathologie et Processus de Santé, Université de Paris, 92100, Boulogne Billancourt, France
| | | | - Thierry Bonjour
- Department of Addictology, CHU Nîmes, Univ Montpellier, Nîmes, France
| | - Lucia Romo
- EA 4430 Clipsyd, University Paris Nanterre, Nanterre, France
| | - Marie Grall-Bronnec
- Department of Addictology and Psychiatry Nantes, Inserm U1246, CHU Nantes, Université de Nantes, Université de Tours, Nantes, France
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Hodgins DC, Young MM, Currie SR, Abbott M, Billi R, Brunelle N, Costes JM, Dufour M, Flores-Pajot MC, Olason DT, Paradis C, Romild U, Salonen A, Volberg R, Nadeau L. Lower-risk gambling limits: linked analyses across eight countries. International Gambling Studies 2022. [DOI: 10.1080/14459795.2022.2143546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Affiliation(s)
- David C. Hodgins
- Departments of Psychology and Psychiatry, University of Calgary, Calgary, Canada
- Canadian Centre on Substance Use and Addiction and Carleton University, Ottawa, Canada
| | - Matthew M. Young
- Canadian Centre on Substance Use and Addiction and Carleton University, Ottawa, Canada
| | - Shawn R. Currie
- Departments of Psychology and Psychiatry, University of Calgary, Calgary, Canada
| | - Max Abbott
- Auckland University of Technology, Auckland, New Zealand
| | - Rosa Billi
- Victorian Responsible Gambling Foundation, Melbourne, Australia
| | - Natacha Brunelle
- Département de psychoéducation, Université du Québec à Trois-Rivières, Trois-Rivières, Canada
| | | | - Magali Dufour
- Département de psychologie, Université du Québec à Montréal, Montréal, Canada
| | | | - Daniel T. Olason
- Department of Psychology, University of Iceland, Reykjavík, Iceland
| | | | - Ulla Romild
- Public Health Agency of Sweden, Solna, Sweden
| | - Anne Salonen
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Rachel Volberg
- School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Louise Nadeau
- Département de psychologie, Université de Montréal, Montréal, Canada
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8
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Costes JM, Bonnaire C. Spending Money in Free-to-Play Games: Sociodemographic Characteristics, Motives, Impulsivity and Internet Gaming Disorder Specificities. Int J Environ Res Public Health 2022; 19:15709. [PMID: 36497782 PMCID: PMC9737990 DOI: 10.3390/ijerph192315709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/22/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
Free-to-Play games (F2P) have spread widely all over the world in recent years. The current economic model for these games is based on microtransactions, where gamers can purchase additional items or services inside the game. The aim of the present study was (1) to describe the profiles and gaming patterns of F2P gamers, and (2) to compare F2P gamers who spend money and those who do not, in terms of sociodemographic characteristics, gaming experience, motivations, impulsivity, and risk of Internet gaming disorder (IGD), in a representative sample of 5062 French online gamers. Among the total sample, 68.6% were past-year F2P gamers. Among the F2P gamers, 26.1% had spent money in the game. Spending in the game was strongly associated with IGD (6.9% of F2P gamers were disordered gamers). Flow (gaming experience) and escape (motivation) were strongly associated with spending in the game and IGD. Negative urgency (impulsivity) was positively associated with spending in the game while positive urgency was positively associated with IGD. Given the strong association between spending in the game and IGD, these results highlight the importance of prevention and regulation in the field.
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Affiliation(s)
- Jean-Michel Costes
- Research Chair on Gambling, Concordia University, 2070 Mackay Street, 3rd Floor, Montreal, QC H3G 2J1, Canada
| | - Céline Bonnaire
- Laboratoire de Psychopathologie et Processus de Santé, Université Paris Cité, F-92100 Boulogne-Billancourt, France
- “Consultation Jeunes Consommateurs”, Centre Pierre Nicole, Croix-Rouge Française, F-75005 Paris, France
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9
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Lelonek-Kuleta B, Bartczuk RP, Tovar ML, Benoit E, Costes JM. Experiencing a significant win and its sociodemographic and motivational predictors: A comparative analysis of pure-chance gamblers from Poland and France. PLoS One 2022; 17:e0277972. [PMID: 36409760 PMCID: PMC9678313 DOI: 10.1371/journal.pone.0277972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 11/08/2022] [Indexed: 11/22/2022] Open
Abstract
Research on the relationship between wins and gambling behavior often focuses on winning considerably large amounts of money. It seems, however, that it is not the amount of the win, but the significance that the player assigns to the win, that exerts a decisive influence on gambling behavior. Therefore, in this study we adopted the concept of significant win: a win perceived by gamblers as important to them. The research aimed to discover what kind of wins are experienced as significant and what factors explain experiencing wins as significant. This study, conducted in Poland (N = 3,143) and France (N = 5,692), also had a comparative goal: discovering intercultural differences in experiencing significant wins. A computer-assisted web survey was administered to gamblers who engaged in pure-chance gambling, where the participant does not influence the outcome of the gamble after the initial bet is placed-selected from representative samples in both countries. We used logistic regression models to examine predictors of significant win experience in both countries and the differences between the countries. The results demonstrated that Polish gamblers more frequently considered a win significant when it was accompanied by strong, often negative emotions and was higher in monetary value normalized in terms of average monthly personal income, than French gamblers. French gamblers more frequently associated a significant win with a positive experience. The common predictors of a significant win experience in both countries were: being in debt, experiencing the win of a close person, gambling in a game of pure chance other than lotteries, more systematic pursuit of gambling, self-enhancement motivation, and coping motivation to gamble. Age at initiation into gambling was a significant predictor only in the French sample, whereas a financial motivation was a significant predictor in the Polish one. The results confirmed that the subjective perception of gambling wins is only partially related to the amounts of wins, which has practical implications for planning prevention strategies.
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Affiliation(s)
- Bernadeta Lelonek-Kuleta
- The Institute of Psychology, The John Paul II Catholic University of Lublin, Lublin, Poland
- * E-mail:
| | - Rafał P. Bartczuk
- The Institute of Psychology, The John Paul II Catholic University of Lublin, Lublin, Poland
| | - Marie-Line Tovar
- Pôle d’Innovation et d’Expérimentation sur le Jeu Excessif, Société d’Entraide et d’Action Psychologique, Dijon, France
| | - Emmanuel Benoit
- Pôle d’Innovation et d’Expérimentation sur le Jeu Excessif, Société d’Entraide et d’Action Psychologique, Dijon, France
| | - Jean-Michel Costes
- Associated Researcher, Research Chair on Gambling, Concordia University, Montreal, Canada
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10
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Abstract
Lotteries are one of the most prevalent forms of gambling and generate substantial state revenues. They are also argued to be one of the least harmful forms of gambling. This paper is one of the first to examine exclusive lottery gamblers and compares their gambling patterns and problems as well other associated risky behaviours to those who are not exclusive lottery gamblers. Data were derived from two large surveys conducted with representative adult samples in France (n = 15,635) and Québec (n = 23,896). Participants were separated into two groups: exclusive lottery gamblers (ELGs) and non-exclusive lottery gamblers. Using multivariate analysis, study results reveal that ELGs, who represent two thirds of gamblers, generally exhibit less intensive gambling patterns and are less likely to report other risky behaviours. However, harms associated with moderate risk and problem gambling are found to be concentrated in specific subpopulations for both groups, primarily males, older individuals, and those who report lower income and education level. Given widespread participation in lotteries and concentration of harm within specific subgroups, these findings point to the need for prevention efforts despite the lower levels of harm associated with lottery gambling.
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Affiliation(s)
- Jean-Michel Costes
- Observatoire des Jeux, Ministère des Finances, Télédoc 774, 139 rue de Bercy, 75572, Paris Cedex, France
| | - Sylvia Kairouz
- Department of Sociology and Anthropology, Lifestyle and Addiction Research Lab, Concordia University, 1455 De Maisonneuve Blvd. W., Montreal, QC, H3G 1M8, Canada.
| | - Eva Monson
- Université de Sherbrooke, 150, Place Charles Lemoyne bureau 200, Longueuil, QC, J4K 0A8, Canada
| | - Vincent Eroukmanoff
- Observatoire des Jeux, Ministère des Finances, Télédoc 774, 139 rue de Bercy, 75572, Paris Cedex, France
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11
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Perrot B, Hardouin JB, Costes JM, Caillon J, Grall-Bronnec M, Challet-Bouju G. 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. BMJ Open 2017; 7:e014600. [PMID: 28515192 PMCID: PMC5623395 DOI: 10.1136/bmjopen-2016-014600] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Revised: 02/14/2017] [Accepted: 03/23/2017] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION Since the legalisation of online gambling in France in 2010, gambling operators must implement responsible gambling measures to prevent excessive gambling practices. However, actually there is no screening procedure for identifying problematic gamblers. Although several studies have already been performed using several data sets from online gambling operators, the authors deplored several methodological and clinical limits that prevent scientifically validating the existence of problematic gambling behaviour. The aim of this study is to develop a model for screening excessive gambling practices based on the gambling behaviours observed on French gambling websites, coupled with a clinical validation. METHODS AND ANALYSIS The research is divided into three successive stages. All analyses will be performed for each major type of authorised online gambling in France. The first stage aims at defining a typology of users of French authorised gambling websites based on their gambling behaviour. This analysis will be based on data from the Authority for Regulating Online Gambling (ARJEL) and the Française Des Jeux (FDJ). For the second stage aiming at determining a score to predict whether a gambler is problematic or not, we will cross answers from the Canadian Problem Gambling Index with real gambling data. The objective of the third stage is to clinically validate the score previously developed. Results from the screening model will be compared (using sensitivity, specificity, area under the curve, and positive and negative predictive values) with the diagnosis obtained with a telephone clinical interview, including diagnostic criteria for gambling addiction. ETHICS AND DISSEMINATION This study was approved by the local Research Ethics Committee (GNEDS) on 25 March 2015. Results will be presented in national and international conferences, submitted to peer-reviewed journals and will be part of a PhD thesis. A final report with the study results will be presented to the ARJEL, especially the final screening model. TRIAL REGISTRATION NUMBER NCT02415296.
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Affiliation(s)
- Bastien Perrot
- Université de Nantes, Université de Tours, INSERM, SPHERE U1246, Nantes, France
- Department of Addictology and Psychiatry, CHU Nantes, Clinical Investigation Unit ’Behavioral Addictions/Complex Affective Disorders’, Nantes, France
| | | | | | - Julie Caillon
- Université de Nantes, Université de Tours, INSERM, SPHERE U1246, Nantes, France
- Department of Addictology and Psychiatry, CHU Nantes, Clinical Investigation Unit ’Behavioral Addictions/Complex Affective Disorders’, Nantes, France
| | - Marie Grall-Bronnec
- Université de Nantes, Université de Tours, INSERM, SPHERE U1246, Nantes, France
- Department of Addictology and Psychiatry, CHU Nantes, Clinical Investigation Unit ’Behavioral Addictions/Complex Affective Disorders’, Nantes, France
| | - Gaëlle Challet-Bouju
- Université de Nantes, Université de Tours, INSERM, SPHERE U1246, Nantes, France
- Department of Addictology and Psychiatry, CHU Nantes, Clinical Investigation Unit ’Behavioral Addictions/Complex Affective Disorders’, Nantes, France
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12
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Abstract
In 2010 France enacted a law to regulate supply and consumption of online gambling. Its primary aim was to protect citizens from gambling-related harm. This study aims to assess differences in gambling patterns and related harm between online gamblers who use licensed versus unlicensed sites. Participants (N = 3860) completed a self-administered online survey on gambling practices. Pairwise logistic regressions examined the association between the legal statuses of gambling sites people patronized and demographic variables and gambling types. Multivariate logistic regression models explored associations between gambling patterns and related problems according to the legal status of sites people have gambled on. Overall, 53.7 % of online gamblers report gambling exclusively on licensed sites. Those who bet on regulated activities on unlicensed sites, versus licensed sites, are more likely to be female, younger, less educated, inactive in the labor market and are more likely to perceive their financial situation to be difficult. Gambling on unlicensed sites is associated with more intense gambling patterns and more gambling-related problems compared to licensed sites. Findings demonstrate that gambling activities carried out on state licensed sites are associated with less overall harm to gamblers. Implications of these findings on future policy are discussed and prospective research directions are outlined.
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Affiliation(s)
- Jean-Michel Costes
- Observatoire des jeux, Ministère des Finances, télédoc 774, 120 rue de Bercy, 75572, Paris cedex 12, France.
| | - Sylvia Kairouz
- Department of Sociology and Anthropology, Concordia University, 1455 de Maisonneuve Blvd W., Montreal, QC, H3G 1M8, Canada.
| | - Vincent Eroukmanoff
- Observatoire des jeux, Ministère des Finances, télédoc 774, 120 rue de Bercy, 75572, Paris cedex 12, France
| | - Eva Monson
- Department of Sociology and Anthropology, Concordia University, 1455 de Maisonneuve Blvd W., Montreal, QC, H3G 1M8, Canada
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13
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Abstract
Avant l’enquête nationale sur les jeux de hasard et d’argent (JHA) de 2010, la France ne disposait pas de mesure de la prévalence du jeu et du jeu problématique dans la population. Objectif : Cette étude présente un premier portrait des JHA en France, décrivant le profil sociodémographique des joueurs courants, les pratiques de jeu des joueurs dits assidus, c’est-à-dire de joueurs qui jouent fréquemment et qui dépensent beaucoup, ainsi que les associations entre les problèmes de jeu et l’usage de substances psychoactives. Méthodologie : Un module sur les pratiques de JHA fut introduit dans l’enquête nationale Baromètre santé. Lors d’une entrevue téléphonique, les participants répondaient à des questions au sujet de la fréquence à laquelle ils jouent et au sujet de la quantité d’argent qu’ils dépensent au jeu. On a mesuré la gravité des problèmes de jeu en utilisant l’indice canadien de jeu excessif (ICJE) et des mesures sur la consommation de substances psychoactives. Participants : L’enquête générale a été menée en 2010 auprès d’un échantillon représentatif de 25 034 répondants âgés de 18 à 75 ans. Résultats : Les résultats révèlent que près de 12 % de la population générale est constituée de joueurs assidus qui ont joué 52 fois ou plus ou qui ont misé 500 euros ou plus au cours des 12 derniers mois. La proportion de joueurs excessifs parmi les joueurs assidus est estimée à 3,7 % et celle des joueurs à risque modéré à 7,1 %. Ces joueurs problématiques sont plus souvent des hommes issus de milieux socioéconomiques modestes. L’enquête met en évidence une relation significative entre les pratiques de jeu les plus à risque et la consommation problématique d’alcool, de tabac ou de cannabis. Conclusion : L’inclusion d’un ensemble élargi de conduites de jeux de hasard et d’argent à d’autres pratiques de santé assurera une meilleure compréhension des facteurs de risques et de vulnérabilité au jeu problématique.
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Affiliation(s)
| | - Sylvia Kairouz
- Professeure agrégée, Département de sociologie et d’anthropologie, Université Concordia
| | - Maud Pousset
- Directrice, Observatoire français des drogues et des toxicomanies
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Costes JM, Beck F, Legleye S, Palle C. [Epidemiology of cannabis use]. Rev Prat 2005; 55:17-22. [PMID: 15801392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Cannabis is the most consumed illicit drug in France. Its use concerns especially men, in all social groups. It is mainly consumed by young adults and teenagers. Over the last ten years the consumption of cannabis strongly increased amongst French young people, the rise has been even stronger for regular use. Prevalence use in France has now reached the highest European levels. Cannabis use can lead to a treatment demand and a research will soon allow to screen problematic users in general population in France. The part of the cannabis in the activity of specialised centres for drug addicts progresses. Due to a lack of indicators, the sanitary impact is not well-informed; nevertheless there are presumptions that cannabis is involved in road accidents, cancers and psychiatric pathologies. The cannabis constitutes the main part of the arrests for drug use.
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Affiliation(s)
- Jean-Michel Costes
- Observatoire français des drogues et des toxicomanies, 3, rue du Stade de France, 93218 Saint-Denis-La Plaine Cedex.
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Costes JM, Bello PY, Palle C. [Addictions in France: current status]. Rev Prat 2003; 53:1299-303. [PMID: 12920938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Abstract
Today, we can draw a picture of addiction behaviours linked to psychoactive products by distinguishing "use" and "problematic use". These are operational terms that imperfectly cover the established concepts of "use", "abuse" and "dependency". Alcohol and tobacco occupy the front place in the field of addictions in France, not only by the levels of consumption but also by the related health harms induced. We can also note a consumption of medicines without prescription among young girls (17.4% of those aged 14 to 18) and a "potentially problematic use" of cannabis among young men (14% of those aged 18). The consumption of other drugs is very marginal and most of health harms induced is due to problematic consumption of opiate drugs and cocaine.
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Costes JM. [Recent epidemiologic data on illicit drugs in France: prevalence and health impact of consumption, availability, and product quality]. Bull Acad Natl Med 2003; 186:281-94. [PMID: 12145836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/26/2023]
Abstract
The main data allowing to draw up a global overview on the phenomenon of illicit drugs come from three main categories of sources: general population survey, institutional statistics and ad hoc monitoring systems. This article briefly describes those sources and identifies the main trends which can come out from these data as regards consumption of illicit drugs, health consequences of this consumption, availability and quality of consumed products.
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