Relevant bibliographies by topics / Problem gambling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Problem gambling'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Problem gambling"

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Holtgraves, Thomas. "Gambling, gambling activities, and problem gambling." Psychology of Addictive Behaviors 23, no. 2 (June 2009): 295–302. http://dx.doi.org/10.1037/a0014181.

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Hraba, Joseph, and Gang Lee. "Gender, gambling and problem gambling." Journal of Gambling Studies 12, no. 1 (March 1996): 83–101. http://dx.doi.org/10.1007/bf01533191.

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McGraw, Caroline. "Problem gambling." Primary Health Care 26, no. 7 (August 31, 2016): 15. http://dx.doi.org/10.7748/phc.26.7.15.s16.

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Gay, Jessica, Peter Richard Gill, and Denise Corboy. "Parental and peer influences on emerging adult problem gambling: Does exposure to problem gambling reduce stigmatizing perceptions and increase vulnerability?" Journal of Gambling Issues, no. 33 (August 1, 2016): 30. http://dx.doi.org/10.4309/jgi.2016.33.3.

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Research has identified 18 to 30 years olds as the biggest spenders on gambling activities, with significantly higher prevalence of gambling problems than other age groups. Identifying the factors that influence the development of gambling problems in young people is important for guiding prevention strategies. This study aimed to analyse how emerging adult problem gambling is influenced by the people around them. In particular, we explored whether perceived parental and peer problem gambling predicted emerging adult problem gambling, and whether reduced gambling self-stigma mediated these relationships. A community sample of 188 Australian gamblers aged 18 to 29 (M = 21.41, SD = 2.99) completed three versions of the Problem Gambling Severity Index (PGSI) and the Gambling Perception Scale. Results indicated that perceived parental and peer gambling were positively related to emerging adult problem gambling. While reduced gambling helping stigma was related to higher problem gambling, stigma did not mediate the links between significant others' gambling and emerging adult problem gambling. We conclude that social influences are important in the development of problem gambling for young people, and that older male emerging adults who have a gambling mother are at most risk of problem gambling.
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Farrelly, Simone, Christine Ffrench, Rowan P. Ogeil, and James G. Phillips. "Coping Strategies and Problem Gambling." Behaviour Change 24, no. 1 (March 1, 2007): 14–24. http://dx.doi.org/10.1375/bech.24.1.14.

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AbstractIn DSM-IV, problem gambling is associated with symptoms such as escape, denial, and chasing. However, these symptoms could actually be underlying coping strategies that contribute to the problems associated with gambling behaviour. To address relationships between coping strategies and gambling problems, 65 participants (37 males and 28 females) with a mean age of 37 completed the South Oaks Gambling Screen (SOGS), and questionnaires addressing coping strategies, mood states, and dissociative experiences. Specific subscales addressing coping strategies relevant to DSM-IV symptoms were examined, namely Distancing, Escape-Avoidance and Confrontative Coping. Although fantasy and denial feature in the behaviours of problem gamblers, dissociative tendencies were only indirectly linked to problem gambling status. Instead, problem gambling status was related to depression and greater tendencies towards Confrontative Coping and Distancing. The present data demonstrates several distinct factors associated with gambling problems and suggests confrontation could have a role in problem gambling.
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Delfabbro, Paul, Daniel King, Jennifer Williams, and Neophytos Georgiou. "Cryptocurrency trading, gambling and problem gambling." Addictive Behaviors 122 (November 2021): 107021. http://dx.doi.org/10.1016/j.addbeh.2021.107021.

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STINCHFIELD, RANDY, and KEN C. WINTERS. "Gambling and Problem Gambling among Youths." ANNALS of the American Academy of Political and Social Science 556, no. 1 (March 1998): 172–85. http://dx.doi.org/10.1177/0002716298556001013.

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Billieux, Joël, Sophia Achab, Jean-Félix Savary, Olivier Simon, Frédéric Richter, Daniele Zullino, and Yasser Khazaal. "Gambling and problem gambling in Switzerland." Addiction 111, no. 9 (January 5, 2016): 1677–83. http://dx.doi.org/10.1111/add.13252.

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Kang, Kyonghwa, Jong Sun Ok, Hyeongsu Kim, and Kun-Sei Lee. "The Gambling Factors Related with the Level of Adolescent Problem Gambler." International Journal of Environmental Research and Public Health 16, no. 12 (June 14, 2019): 2110. http://dx.doi.org/10.3390/ijerph16122110.

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The purpose of this study was to investigate the gambling factors related with the gambling problem level of adolescents to provide basic information for the prevention of adolescent gambling problems. The data was drawn from the 2015 Survey on Youth Gambling Problems of the Korea Center on Gambling Problems for Korean students in grades 7–11 (ages 13–17 years) and included 14,011 study subjects (average age 14.9 years, 52.5% male). The lifetime gambling behavior experience was 42.1%, and 24.2% had a gambling behavior experience within the past three months. The past three-month prevalence of problem gambling was 1.1%. The gambling factors related with the level of adolescent problem gambling include the presence of nearby gambling facilities, having personal relationships with people that gamble, a higher number of experienced gambling behaviors, male adolescents, and a greater amount of time spent gambling. To the best of our knowledge, this study is the first report to identify gambling factors related with the level of adolescent problem gambling in Korean adolescents using national data. These findings suggest that gambling prevention efforts must consider not only access to individual adolescents as early intervention, but also environmental strategies such as accessibility regulations and alternative activities.
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Rose, I. Nelson. "China's Gambling Problem." Gaming Law Review and Economics 17, no. 3 (April 2013): 171–72. http://dx.doi.org/10.1089/glre.2013.1732.

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Dissertations / Theses on the topic "Problem gambling"

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Marget, Nancy. "Psychosocial factors underlying problem gambling." Thesis, McGill University, 1999. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=30189.

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The psychosocial correlates of adolescent gambling behavior were assessed among 7th, 9th, and 11 th graders. Participants (N = 587) completed questionnaires concerning their gambling behavior, coping skills, locus of control, depression, and substance use. Adolescents were grouped into 1 of 4 groups based upon their performance on the DSM-IV-J (Fisher, 1992) gambling screen: non-gamblers, social gamblers, problem gamblers, and probable pathological gamblers. This research examined whether individuals belonging to the 4 groups differ with respect to locus of control, coping skills, depression, and substance use. Results indicated that probable pathological gamblers were characterized by an external locus of control and reported higher levels of maladaptive coping styles, depression, and regular substance use than non-gamblers and social gamblers. Logistic regression analyses suggest that coping skills, locus of control, substance use, and depression alone do not adequately predict pathological gambling, but do seem to play an important role in the etiology nonetheless. Implications are discussed.
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Sharman, Stephen Philip. "Cognition and decision making in problem gambling and gambling behaviour." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708760.

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Wiebe, Jamie. "Gambling behaviour and factors associated with problem gambling among older adults." online access from Digital Dissertation Consortium access full-text, 2002. http://libweb.cityu.edu.hk/cgi-bin/er/db/ddcdiss.pl?NQ79913.

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Sundqvist, Kristina. "Beyond Recreational Gambling : a Psychological Perspective on Risk- and Problem Gambling." Doctoral thesis, Stockholms universitet, Klinisk psykologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-134623.

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The general aim of this thesis was to examine risk gambling in the general population from a psychological perspective. This was done in three studies targeting personality, risky alcohol habits and gambling motives, respectively. Initially, 19 530 randomly assigned Swedish citizens were screened for problem gambling via telephone using the two questions in the Lie/Bet questionnaire. This sample constitutes the basis for one of the studies in the thesis. For the other studies, individuals answering yes to one of the questions in the Lie/Bet questionnaire and agreeing to participate further were sent a postal questionnaire. The questionnaire included questions about gambling, personality and gambling motives.   Some of the main results showed that: Negative consequences of gambling were associated with higher levels of impulsivity and negative affectivity. Risk gamblers reported lower levels of negative affectivity compared to the general population. Compared to non-risk gamblers, twice as many of the risk gamblers reported weekly binge drinking during the past 12 months. This association, however, seemed to be explained by shared demographic characteristics, rather than by the risk gambling causing binge drinking. High risk gamblers more often reported that they gambled for the challenge and for coping reasons, compared to low risk gamblers. High risk gamblers had overall stronger motives for gambling. The results also indicated that the level of risk gambling was highly intertwined with gambling motives and could explain some differences in gambling motives between, for example, women/men and younger/older gamblers. One of the focal points in the discussion was that higher levels of negative affectivity may be a cause of elevated problems rather than a cause of risk gambling. Another issue discussed was that the level of risk- /problem gambling may be important to consider when comparing gambling motives across subgroups of gamblers.
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Arcan, Kuntay. "Psychological Predictors Of Problem Gambling Behaviors." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614363/index.pdf.

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Gambling becomes a source of difficulties of varying severity for some individuals whereas it is a positive experience for most of other people. Although gambling continues to be an entertaining activity for the majority of gambling individuals, prevalence rates suggest that pathological gambling is not low compared to other types of diagnosis. Most of the data with respect to gambling is from Western gambling literature, whereas research investigating the associated features of problem and pathological gamblers are very limited in the Turkish sample. The present study aimed to adapt two gambling-related instruments into Turkish and subsequently to examine the contributory roles of gambling participation, personality, affect, cognition, and motives of Turkish gamblers on gambling severity and gambling-related harm. The present study sample consisted of 357 males who were gambling in the sports and horse-races betting terminals. The findings pointed out it is important to conduct gambling research with Turkish samples considering the gambling severity and harm scores of the participants. The Turkish versions of Gambling-Related Cognitions Scale and Gambling Motives Scale showed promising psychometric properties with respect to their reliability and validity analyses. Besides, relatively higher negative affect, neuroticism, gambling-related cognitions, avoidance motive, and gambling participation were found to be associates of probable pathological gambling among Turkish regular gambling individuals. Moreover, the relationships of gambling cognitions / motives and gambling severity were mediated by the gambling participation. The main findings and related findings of the present study together with their implications are reported and discussed within the relevant gambling literature.
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Kourgiantakis, Toula. "Family involvement in problem gambling treatment." Doctoral thesis, Université Laval, 2017. http://hdl.handle.net/20.500.11794/27651.

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Les problèmes de jeu (PJ) sont un enjeu de santé publique qui ont une influence sur les individus qui en souffrent ainsi que sur leurs familles (Afifi, Cox, Martens, Sareen & Enns, 2011). Plusieurs études ont illustré les impacts des PJ sur les familles (Hodgson et al., 2007; Mathews & Volberg, 2013). Malgré que les conséquences des problèmes de jeu aient un impact négatif sur la famille, le traitement de cette dépendance se concentre encore principalement sur l’individu (Orford, Velleman, Natera, Templeton & Copello, 2013). La recherche sur l’implication de la famille dans le traitement des PJ est limitée, mais les études réalisées montrent que l’implication familiale peut améliorer les résultats du traitement (Ingle et al., 2008), réduire la détresse individuelle et améliorer le fonctionnement familial (Rychtarik & McGillicuddy, 2006). Dans le cadre de cette recherche s’appuyant sur une approche méthodologique mixte, nous examinons l’impact de l’implication de la famille dans le traitement des PJ en utilisant le modèle du Stress-Strain-Coping-Support (Orford et al., 2010) et le cadre théorique systémique familial (Whitchurch & Constantine, 2009). Cette recherche a une question de recherche générale : 1) Quels sont les impacts de l’implication familiale dans le traitement des PJ? Trois questions spécifiques sont utilisées : a) Quels sont les impacts de l’implication familiale dans le traitement et les comportements de jeu problématique? b) Comment les membres de la famille décrivent-ils l’implication familiale dans le traitement des PJ? c) Comment est-ce que l’implication familiale dans le traitement des PJ influence le fonctionnement individuel et familial? Cette étude de recherche doctorale utilise un devis à cas unique et examine l’expérience de 11 dyades (chacune contenant un individu avec des PJ et un membre de sa famille) qui cherchaient un traitement pour des PJ dans un centre de traitement de toxicomanie et de santé mentale du Canada. Les dyades ont été assignées aléatoirement au traitement ou au groupe contrôle. Les membres de la famille dans le groupe contrôle ont été mis sur une liste d'attente. Les membres de la famille qui étaient dans le groupe traitement ainsi que les individus avec des PJ en provenance des deux groupes recevaient des services immédiatement. Tous les participants ont rempli un questionnaire standardisé durant les trois phases de l’étude – temps de base, traitement et post-traitement. À la fin de la phase de post-traitement, des entrevues semi-dirigées étaient réalisées avec les individus souffrant de PJ et les membres de leurs familles. Les résultats n’ont pas démontré de différence significative entre le traitement et le groupe contrôle. Les taux d’attrition et d’achèvement des groupes étaient similaires, tout comme la réduction des comportements de jeu problématique, la diminution de la sévérité des PJ et de l’envie de jouer. Une baisse de la détresse individuelle était présente dans les deux groupes et à la fin de l’étude, les membres de la famille présentaient le taux de détresse le plus élevé, et ce, pour les deux groupes. La majorité des dyades démontraient des améliorations dans le fonctionnement familial, mais une différence était présente entre les deux groupes. Les membres de la famille qui étaient dans le groupe contrôle éprouvaient plus de difficultés quant au fonctionnement familial lors de la phase post-traitement. L’étude a démontré que l’implication de la famille était complexe puisqu’elle est influencée par des facteurs qui ne sont pas liés à l’assignation au groupe ou bien à la participation au traitement pour les membres de la famille. Les familles ont décrit des facteurs facilitants et des obstacles qui peuvent avoir un impact sur l’implication familiale dans le traitement des PJ. La communication, le support et les habiletés de coping étaient des éléments facilitateurs à l’implication familiale tandis que les conflits, l’isolement et les troubles de santé mentale/abus de substance étaient des obstacles à l’implication familiale dans le traitement des PJ. Les familles dans cette étude ont également décrit différents types d’implication (élevé, modéré, faible). Ces types étaient influencés par la présence ou l’absence de facilitateurs ou obstacles à l’implication familiale.
Problem gambling (PG) is a public health concern affecting problem gambling individuals (PGIs) and their families (Afifi, Cox, Martens, Sareen & Enns, 2011). There has been ample research demonstrating that families are adversely affected by PG (Hodgins, Shead & Makarchuk, 2007; Mathews & Volberg, 2013). Although the consequences of PG negatively impact the entire family, the treatment of this behavioural addiction continues to have an individual focus (Orford, Velleman, Natera, Templeton & Copello, 2013). Research on family involvement in PG treatment has been limited, but the studies that have been conducted show that involving families can improve gambling treatment outcomes (Ingle, Marotta, McMillan & Wisdom, 2008), reduce individual distress and improve family functioning (Rychtarik & McGillicuddy, 2006). In this mixed methods study we examined the impact of family involvement in PG treatment using a Stress-Strain-Coping-Support Model (Orford et al., 2010) and Family Systems Theoretical framework (Whitchurch & Constantine, 2009). The study had one general research question: 1) What is the impact of family involvement in PG treatment? There were also three specific research questions: a) What is the impact of family involvement on PG treatment and behaviour? b) How do family members describe family involvement in PG treatment? c) How does family involvement in PG treatment affect individual and family functioning? This doctoral research study used a multiple case study method and examined the experiences of 11 dyads (each consisting of one PG individual and one family member), seeking PG treatment at an addiction and mental health centre in Canada. Dyads were randomly assigned to a treatment or control group and family members in the control group were waitlisted, while the family members in the treatment group and the PG individuals in both groups, received services immediately. All participants completed standardised questionnaires during three study phases – baseline, treatment and post-treatment. At the end of the post-treatment phase there were semi-structured interviews with PG individuals and family members. The results did not show substantive differences between the treatment and control groups. The groups had similar PG treatment attrition and completion rates, reductions in gambling behaviour, decreases in gambling severity and gambling urges. Both groups had decreases in individual distress levels and at the end of the study the highest distress levels for both groups were among family members. Most dyads had improvement in family functioning, but there was a difference between the two groups, with more difficulties in family functioning at post-treatment among families in the control group. The study showed that family involvement was complex as it was influenced by other factors that were unrelated to group assignment and treatment attendance for family members. Families described facilitators and barriers impacting family involvement in PG treatment. Communication, support and coping skills were facilitators to family involvement, while conflict, isolation and mental health and/or substance use concerns were barriers to family involvement in PG treatment. The families in this study also described different types of involvement (high, moderate and low) and this was influenced by the presence or absence of facilitators or barriers to family involvement.
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Peden, Nicole. "Self-efficacy and problem gambling establishing construct validity /." online access from Digital Dissertation Consortium access full-text, 2004. http://libweb.cityu.edu.hk/cgi-bin/er/db/ddcdiss.pl?MQ97609.

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Sikiric, Kristian. "Gambling safety net : Predicting the risk of problem gambling using Bayesian networks." Thesis, Linköpings universitet, Databas och informationsteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165867.

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As online casino and betting increases in popularity across the globe, the importance of green gambling has become an important subject of discussion. The Swedish betting company, ATG, realises the benefits of this and would like to prevent their gamblers from falling into problem gambling. To predict problem gambling, Bayesian networks were trained on previously identified problem gamblers, separated into seven risk groups. The network was then able to predict the risk group of previously unseen gamblers with an ac- curacy of 94%. It also achieved an average precision of 89%, an average recall of 96% and an average f1-score of 93%. The features in the data set were also ranked, to find which were most important in predicting problem gambling. It was found that municipality, which day of the week the transaction was made and during which hour of the day were the most important features. Also, the Bayesian network was also made as simple as possible, by removing irrelevant features and features which carry very low importance.
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Marget, Nancy. "The psychosocial factors underlying adolescent problem gambling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0032/MQ64171.pdf.

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Lane, Jennifer Natalie. "Problem gambling : predictors, impulsivity and executive function." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488646.

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Background: Recent research into problem gambling (PG) has suggested many associated environmental, sociological, biological and psychological factors, specifically male gender, age, alcohol use, drug use, depression, anxiety, neuropsychological deficits and impulsivity. As yet, causal relationships remain to be established. Several theoretical models of PG have been hypothesised, with biopsychosocial approaches being favoured. Aims included; to identify specific predictors of PG in a bid to isolate potential causal factors ofPG and; to investigate the level of executive function in PGs and its relationship with impulsivity Method: The study was divided into two parts. Part one utilised a correlation design with participants (n=67) completing several questionnaires to collect demographic, psychological and personality information. Part two used.a case control design (n=14), PGs and matched controls. Participants completed neuropsychological assessment of executive fimction. Results: Multiple regression analysis indicated male gender, depression and impulsivity were significantly associated with PG. A case series presentation indicated that PGs' neurocognitive profiles of executive function differ from non-PGs. Preliminary statistical analysis demonstrated significant differences between specific neuropsychological tests. Trends towards significance were seen for planning and performance time, with PGs being identified as taking less time to plan their actions, taking longer to complete a test and making more errors. Conclusions: The specific domains of executive function, which show deficits in PGs have been suggested as the 'higher' executive functions involving planning, organising and self-monitoring behaviour. Impulsivity is hypothesised to contribute to deficits in executive function. The findings of tins study provide some insight into a fuller understanding of the factors associated with PG and tile neuropsychological functioning of a sample of PGs and have clinical implications including tile adaptation of current CBT interventions for PGs. The present investigation has been able to suggest that male gender, depression, impulsivity and executive function deficits may serve as vulnerability factors for the development and maintenance of PG. These potential vulnerability factors have been recommended as specific areas of interest for future research.
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Books on the topic "Problem gambling"

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Gobet, Fernand, and Marvin Schiller, eds. Problem Gambling. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137272423.

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R, Eadington William, Cornelius Judy A, and University of Nevada, Reno. Institute for the Study of Gambling and Commercial Gaming., eds. Gambling behavior and problem gambling. Reno, Nev., USA: Institute for the Study of Gambling and Commercial Gaming, College of Business Administration, University of Nevada, Reno, 1993.

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Mawer, Philip. Overcoming problem gambling. London: Sheldon, 2010.

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The gambling problem. Cambridge: Independence, 2011.

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Gambling and problem gambling in Britain. Hove, East Sussex: Brunner-Routledge, 2003.

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Volberg, Rachel A. Gambling involvement and problem gambling in Montana. Albany, N.Y: Gemini Research, 1992.

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Oei, Tian Po. Gambling and problem gambling among the Chinese. Brisbane: School of Psychology, University of Queensland, 2007.

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Trimeridian, Inc. Resources for problem gambling. Indianapolis, Ind: Trimeridian, Inc., 2000.

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Griffiths, Mark, Tobias Hayer, and Gerhard Meyer, eds. Problem Gambling in Europe. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-09486-1.

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Wynne, Harold James. Gambling and problem gambling in Saskatchewan: Final report. [Regina: Govt. of Saskatchewan, 2002.

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Book chapters on the topic "Problem gambling"

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McAllister-Williams, R. Hamish, Daniel Bertrand, Hans Rollema, Raymond S. Hurst, Linda P. Spear, Tim C. Kirkham, Thomas Steckler, et al. "Problem Gambling." In Encyclopedia of Psychopharmacology, 1073. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_781.

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Schiller, Marvin R. G., and Fernand R. Gobet. "Introduction." In Problem Gambling, 1–38. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137272423_1.

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Yakovenko, Igor, and David C. Hodgins. "Treatment of Disordered Gambling." In Problem Gambling, 221–51. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137272423_10.

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Lindberg, Annika, Luke Clark, and Henrietta Bowden-Jones. "Impulsivity and Cognitive Distortions in Problem Gambling: Theory and Application." In Problem Gambling, 252–86. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137272423_11.

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Franklin, Tony. "Life as a Compulsive Gambler: A First-Hand Account." In Problem Gambling, 289–310. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137272423_12.

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Campitelli, Guillermo, and Craig Speelman. "Expertise and the Illusion of Expertise in Gambling." In Problem Gambling, 41–60. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137272423_2.

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Xu, Juemin, and Nigel Harvey. "The Hot Hand Fallacy and the Gambler’s Fallacy: What Are They and Why Do People Believe in Them?" In Problem Gambling, 61–73. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137272423_3.

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Schiller, Marvin R. G., and Fernand R. Gobet. "Cognitive Models of Gambling and Problem Gambling." In Problem Gambling, 74–103. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137272423_4.

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Airas, Anssi. "Behind the Scenes of Creating the Tool for Responsible Games." In Problem Gambling, 107–26. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137272423_5.

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Rhind, Daniel J. A., Kerry O’Brien, Sophia Jowett, and Iain Greenlees. "Problem Gambling among Athletes in the United Kingdom." In Problem Gambling, 127–39. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137272423_6.

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Conference papers on the topic "Problem gambling"

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Valero Solis, Susana, Roser Granero Perez, Susana Jimenez Murcia, and Fernando Fernandez Aranda. "Association of the patients’ age with cognitive bias and impulsivity in gambling disorder." In 22° Congreso de la Sociedad Española de Patología Dual (SEPD) 2020. SEPD, 2020. http://dx.doi.org/10.17579/sepd2020o004.

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Background and aims. Typical cognitive biases (irrational beliefs, cognitive distortions and erroneous perceptions) and high levels of impulsivity have been systematically reported among individuals with problem gambling. The objective of this study is to examine the role of the chronological age into the relationships between cognitive biases and impulsivity with the gambling disorder (GD) profile during adulthood. Methods. The sample analysed in this study included n=209 patients into the range age 18-77 yrs-old, recruited at the Pathological Gambling Outpatients Unit of the Bellvitge University Hospital (Barcelona). Results. Path-analysis showed a mediational link between chronological age, the presence of a comorbid depression or anxiety disorder, and the level of GD symptoms. Orthogonal polynomial contrasts showed a positive quadratic trend between the individuals’ age and cognitive distortions severity (higher impairing irrational beliefs obtained among younger and older patients, compared to middle-age patients). The sensation-seeking level showed a negative linear trend with the age: the older the patient’s age, the lower the score in this impulsivity domain. Among younger age patients gambling severity correlated only with cognitive bias levels, while during middle age patients gambling severity correlated with both cognitive bias and impulsivity levels. Within older age group fewer and poorer associations were found between cognitive bias and impulsivity with the accumulated debts due to the gambling activity, and the bets per gambling-episode. Conclusion. The results of this study could help in the development of reliable/valid assessment tools for GD, as well as for the design of precise/effective intervention plans and guidelines. These should include the patients’ age, the cognitive style, and the impulsivity levels, with the aim of providing precise and accurate tools to manage gambling problems.
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Suzuki, Hiroko, Ryoko Nakamura, Aozora Inagaki, Isamu Watanabe, and Tomohiro Takagi. "Early Detection of Problem Gambling based on Behavioral Changes using Shapelets." In WI '19: IEEE/WIC/ACM International Conference on Web Intelligence. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3350546.3352549.

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Dalal, Siddhartha, Zihe Wang, and Siddhanth Sabharwal. "Identifying Ransomware Actors in the Bitcoin Network." In 2nd International Conference on Machine Learning, IOT and Blockchain (MLIOB 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111201.

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Due to the pseudo-anonymity of the Bitcoin network, users can hide behind their bitcoin addresses that can be generated in unlimited quantity, on the fly, without any formal links between them. Thus, it is being used for payment transfer by the actors involved in ransomware and other illegal activities. The other activity we consider is related to gambling since gambling is often used for transferring illegal funds. The question addressed here is that given temporally limited graphs of Bitcoin transactions, to what extent can one identify common patterns associated with these fraudulent activities and apply themto find other ransomware actors. The problem is rather complex, given that thousands of addresses can belong to the same actor without any obvious links between them and any common pattern of behavior. The main contribution of this paper is to introduce and apply new algorithms for local clustering and supervised graph machine learning for identifying malicious actors. We show that very local subgraphsof the known such actors are sufficient to differentiate between ransomware, random and gambling actors with 85%prediction accuracy on the test data set.
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Blank, L., S. Baxter, H. Buckley-Woods, and E. Goyder. "OP35 Screening interventions for problem gambling in health, care and support settings – a systematic review." In Society for Social Medicine and Population Health Annual Scientific Meeting 2020, Hosted online by the Society for Social Medicine & Population Health and University of Cambridge Public Health, 9–11 September 2020. BMJ Publishing Group Ltd, 2020. http://dx.doi.org/10.1136/jech-2020-ssmabstracts.35.

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Kanubrikov, Vitaly Alekseevich, Alexander Alexandrovich Likholetov, Tatyana Vasilyevna Ialovenko, and Yekaterina Petrovna Yevstifeyeva. "Problems of Qualifying and Detecting Illegal Organization and Conduction of Gambling." In VII INTERNATIONAL SCIENTIFIC-PRACTICAL CONFERENCE “CRIMINAL LAW AND OPERATIVE SEARCH ACTIVITIES: PROBLEMS OF LEGISLATION, SCIENCE AND PRACTICE”. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010633200003152.

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Hinić, Darko. "Problematic Internet Use: Old problems with a new twist." In 9th International Scientific Conference Technics and Informatics in Education. University of Kragujevac, Faculty of Technical Sciences Čačak, 2022. http://dx.doi.org/10.46793/tie22.019h.

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The Internet is an integral part of human society and everyday life of most people, and it may be used for satisfying various human needs. The Internet has changed the way we process information, learn, talk, behave, etc. However, when something is used too much, it always brings some consequences with it, one being Problematic Internet Use, which is an umbrella term that encompasses a wide range of repetitive disabling behaviours, such as Internet video gaming, gambling, cyberpornography addiction, compulsive online shopping, social networking problematic use, and so on. In this paper, different views on Internet use in modern society will be considered, from ideas (over)emphasising its harmful effects on users’ health, to ideas ignoring these warnings. We will be discussing the advantages of ICT use, as well as characteristics of the Internet, which may ease a compulsive use or preoccupation with online content and activities. We will particularly focus on classification criteria for specific online behaviours into the category of problematic use or Internet addiction, and finally we will point to some of the negative effects of PIU, as well as types of such Internet-related problems.
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Valero Solis, Susana. "Identification of phenotypes in video games addiction: a person-centered approach." In 22° Congreso de la Sociedad Española de Patología Dual (SEPD) 2020. SEPD, 2020. http://dx.doi.org/10.17579/sepd2020p093.

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Background and objectives. Video game addiction (VGA) is characterized by a pattern of impaired control gaming behavior, prioritizing gaming over other daily activities and responsibilities. The rapid increases of the VGA rates worldwide advice the urge of new studies focused on examining the existence of differences in the phenotype of patients treatment-seeking due the problematic video game use. Method. Sample comprised n=107 participants recruited at the Pathological Gambling Outpatients Unit of the Bellvitge University Hospital (Barcelona). Mean age was 24.1 yrs-old (SD=10). Most participants were men (91.6%), single (88.8%) and into mean-low to low social position indexes (84.1%). Two-step clustering analysis explored empirical latent groups based on a broad set of indicators, including sociodemographic, psychopathological state and personality traits. Results. Two exclusive groups emerged. Cluster 1 (labeled as moderate maladaptative functioning, n=72, 66.1%), was composed mainly by single, unemployed men, with the younger age of onset, the earlier onset of the video game problematic use, the shorter progression of the problems, better psychopathological state and more functional personality traits. Cluster 2 (labeled as severe maladaptative functioning, n=35, 32.7%), included a higher proportion of not-single and employed women, with an older age, a later onset and a longer duration of the video game related problems, worse psychopathological state and more dysfunctional personality profile. Conclusion. VGA is a heterogeneous group with regard to gambling phenotypes. The identification of the diverse latent classes provide empirical evidence contributing to the conceptualization of this behavioral addition, as well as for developing reliable and valid screening tools and effectiveness intervention plans focused on the precise characteristics of the patients.
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Borenstein, Anna. "LEGALIZATION OF THE GAMBLING BUSINESS IN FOREIGN COUNTRIES: PROS AND CONS, PROBLEMS AND PROSPECTS OF REGULATION." In 4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgemsocial2017/hb11/s02.048.

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Kornev, Denis, Roozbeh Sadeghian, Stanley Nwoji, Qinghua He, Amir Gandjbbakhche, and Siamak Aram. "Machine Learning-Based Gaming Behavior Prediction Platform." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001826.

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Brain disorders caused by Gaming Addiction drastically increased due to the rise of Internet users and Internet Gaming auditory. Driven by such a tendency, in 2018, World Health Organization (WHO) and the American Medical Association (AMA) addressed this problem as a “gaming disorder” and added it to official manuals. Scientific society equipped by statistical analysis methods such as t-test, ANOVA, and neuroimaging techniques, such as functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and electroencephalography (EEG), has achieved significant success in brain mapping, examining dynamics and patterns in different conditions and stages. Nevertheless, more powerful, self-learning intelligent algorithms are suitable not only to evaluate the correlation between gaming addiction patterns but also to predict behavior and prognosis brain response depending on the addiction severity. The current paper aims to enrich the knowledge base of the correlation between gaming activity, decision-making, and brain activation, using Machine Learning (ML) algorithms and advanced neuroimaging techniques. The proposed gaming behavior patterns prediction platform was built inside the experiment environment composed of a Functional Near-Infrared Spectrometer (fNIRS) and the computer version of Iowa Gambling Task (IGT). Thirty healthy participants were hired to perform 100 cards selection while equipped with fNIRS. Thus, accelerated by IGT gaming decision-making process was synchronized with changes of oxy-hemoglobin (HbO) levels in the human brain, averaged, and investigated in the left and the right brain hemispheres as well as different psychosomatic conditions, conditionally divided by blocks with 20 card trials in each: absolute unknown and uncertainty in the first block, “pre-hunch” and “hunch” in the second and third blocks, and conceptuality and risky in the fourth and fifth blocks. The features space was constructed around the HbO signal, split by training and tested in two proportions 70/30 and 80/20, and drove patterns prediction ML-based platform consisted of five mechanics, such as Multiple Regression, Classification and Regression Trees (CART), Support Vector Machine (SVM), Artificial Neural Network (ANN), and Random Forest. The algorithm prediction power was validated by the 5- and 10-fold cross-validation method and compared by Root Mean Squared Error (RMSE) and coefficient of determination (R Squared) metrics. Indicators of “the best” fit model, lowest RMSE, and highest R Squared were determined for each block and both brain hemispheres and used to make a conclusion about prediction accuracy: SVM algorithm with RBF kernel, Random Forest, and ANN demonstrated the best accuracy in most cases. Lastly, “best fit” classifiers were applied to the testing dataset and finalized the experiment. Hence, the distribution of gaming score was predicted by five blocks and both brain hemispheres that reflect the decision-making process patterns during gaming. The investigation showed increasing ML algorithm prediction power from IGT block one to five, reflecting an increasing learning effect as a behavioral pattern. Furthermore, performed inside constructed platform simulation could benefit in diagnosing gaming disorders, their patterns, mechanisms, and abnormalities.
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Blanco Garrote, Jose Antonio, Isabel Santos Carrasco, Patricia Marques Cabezas, David García Tejada, Laura Gallardo Borge, and Jorge Blanco Vilches. "Motivos de juego de apuestas en adolescentes de 14-18 años." In 22° Congreso de la Sociedad Española de Patología Dual (SEPD) 2020. SEPD, 2020. http://dx.doi.org/10.17579/sepd2020p094.

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Objetivos Los juegos de apuestas son cada vez más populares en adolescentes. Existen pocos datos en nuestro medio acerca de la magnitud del problema, el perfil y los motivos de juego, sobre los que establecer medidas preventivas. El objetivo principal del estudio es conocer los motivos de juego en esta población, dado que es la variable clave para entender el problema. De forma secundaria se realiza una aproximación a la prevalencia y al perfil del adolescente que utiliza el juego de apuestas. Material y métodos Se ha diseñado una encuesta específica online dirigida a los alumnos de 14-18 años de colegios de la provincia de Valladolid. Se incluyen datos sociodemográficos básicos y el Gambling Motives Questionnaire (1) (Cuestionario de Motivos de Juego, GMQ) ya validado en nuestro país (2). Los resultados que se analizan corresponden a un primer corte de 140 encuestas. Resultados y Conclusiones Aunque solamente el 5% ha apostado dinero en juegos online o casas de apuestas, el 13,6% participa en juegos de apuestas. Según este primer análisis el perfil del adolescente que juega es un varón (79%), con una edad media de 15 años, que acude a un centro público, que permanece más de 3 horas conectado a Internet (63%) y participa en actividades deportivas (79%). Ni el hecho de ser repetidor, tener problemas de relación con los padres, que estos ejerzan control sobre el uso de Internet o consumir cannabis se relacionan con este perfil. Según la GMQ el principal motivo de juego es el social (¯x=7,63±2,4), seguido de búsqueda de emociones positivas (¯x=7,42±2,4) y en menor medida, afrontamiento de estrés (¯x=5,84±1,3). Estos datos preliminares muestran una prevalencia y perfil similares a otros estudios realizados en nuestro país (3). La identificación de los motivos de juego es esencial a la hora de establecer programas de prevención.
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Reports on the topic "Problem gambling"

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Baxter, Carling. Gambling prevalence and problem gambling in LGBTQ2+ communities. Greo, June 2022. http://dx.doi.org/10.33684/2022.001.

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The brief outlines existing research on gambling among LGBTQ2+ communities. There is little research related to gambling and gambling harms within this community. Key findings in the brief include: Members of LGBTQ2+ communities are at greater risk problem gambling and gambling-related harms Sexual minority men gamble less often and spend less money when compared to heterosexual men Sexual minority women are at greater risk of problem gambling when compared to heterosexual women Experiencing stigma is associated with problem gambling and gambling harms among LGBTQ2+ individuals This brief can provide a starting point for further study on gambling within LGBTQ2+ communities.
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Kalbfleisch, Lindsay, David Baxter, Sheila McKnight, Travis Sztainert, and Maha Sohail. Effective Treatment and Support for Problem Gambling. Gambling Research Exchange (GREO), March 2020. http://dx.doi.org/10.33684/2020.005.

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Taylor, Isabel, Heather Wardle, Ben Stoker, and Bea Taylor. Investigating the relationship between physical and mental health conditions and gambling in England and Scotland. GREO, May 2021. http://dx.doi.org/10.33684/2021.003.

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This report examines the relationship between mental and physical health and gambling. The report focuses on adults aged 16 years and older in England and Scotland. The report also examined links between smoking and alcohol use and gambling. Samples were gathered from the 2012, 2015, and 2016 Gambling in England and Scotland Combined Data from the Health Survey for England and the Scottish Health Survey datasets. The report found that people with mental health conditions were more likely to experience problem gambling if they gambled. As well, smoking was linked to risks of problem gambling.
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Stark, Sasha, Heather Wardle, and Isabel Burdett. Examining lottery play and risk among young people in Great Britain. GREO, April 2021. http://dx.doi.org/10.33684/2021.002.

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Purpose & Significance: Despite the popularity of lottery and scratchcards and some evidence of gambling problems among players, limited research focuses on the risks of lottery and scratchcard play and predictors of problems, especially among young people. The purpose of this project is to examine whether lottery and scratchcard participation is related to gambling problems among 16-24 year olds in Great Britain and whether general and mental health and gambling behaviours explain this relationship. Methodology: Samples of 16-24 year olds were pooled from the 2012, 2015, and 2016 Gambling in England and Scotland: Combined Data from the Health Survey for England and the Scottish Health Survey (n=3,454). Bivariate analyses and Firth method logistic regression were used to examine the relationship between past-year lottery and scratchcard participation and gambling problems, assessing the attenuating role of mental wellbeing, mental health disorders, self-assessed general health, and playing other games in past year. Results: There is a significant association between scratchcard play and gambling problems. The association somewhat attenuated but remained significant after taking into account wellbeing, mental health disorders, general health, and engagement in other gambling activities. Findings also show that gambling problems are further predicted by age (20-24 years), gender (male), lower wellbeing, and playing any other gambling games. Implications: Results are valuable for informing youth-focused education, decisions around the legal age for National Lottery products, and the development of safer gambling initiatives for high risk groups and behaviours, such as scratchcard play.
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Proportion of Revenue from Problem Gambling. Gambling Research Exchange (GREO), 2019. http://dx.doi.org/10.33684/2019.002.

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