Groups Of Gamblers Research Articles

Harm-to-self from gambling: A national study of Australian adults.

Understanding how gambling harm is distributed is essential to inform effective harm reduction measures. This first national Australian study of gambling harm-to-self examined the extent, distribution, risk factors, and health related quality of life (HRQoL) impacts of this harm. ARandom Digit Dialling sample of 15,000 Australian adults was weighted to key population variables. Key measures included the Gambling Harms Scale-10 (GHS-10), PGSI, SF-6D, gambling behaviours, and demographics. Analyses included ordinal logistic regression. Amongst gamblers, 14.7% reported harm on the GHS-10, including 1.9% reporting high-level harm. While high-level harm occurred mainly in the problem gambling group (77.3%), other PGSI groups accounted for most of the more prevalent low (98.5%) and moderate (87.2%) harms reported. Proximal predictors of greater harm were use of online gambling and more frequent gambling on electronic gaming machines (EGMs), race betting sports betting, poker, skin gambling, scratchies, and loot box purchasing. Distal predictors were being younger, male, single, Aboriginal or Torres Strait Islander, and speaking a non-English language at home. At the population level, the greatest aggregate HRQoL impacts were amongst lower-risk gamblers, confirming the results of other studies regarding the 'prevention paradox'. The distribution of harm across gambler risk groups indicates the need for preventive measures, not just interventions for problem gambling. Reducing harm requires modifying product features that amplify their risk, especially for EGMs, race betting and sports betting that are both inherently risky and widely used. Gambling harm exacerbates health disparities for disadvantaged and vulnerable groups, requiring targeted resources and support.

Decomposition of Reinforcement Learning Deficits in Disordered Gambling via Drift Diffusion Modeling and Functional Magnetic Resonance Imaging.

Gambling disorder is associated with deficits in reward-based learning, but the underlying computational mechanisms are still poorly understood. Here, we examined this issue using a stationary reinforcement learning task in combination with computational modeling and functional resonance imaging (fMRI) in individuals that regular participate in gambling (n = 23, seven fulfilled one to three DSM 5 criteria for gambling disorder, sixteen fulfilled four or more) and matched controls (n = 23). As predicted, the gambling group exhibited substantially reduced accuracy, whereas overall response times (RTs) were not reliably different between groups. We then used comprehensive modeling using reinforcement learning drift diffusion models (RLDDMs) in combination with hierarchical Bayesian parameter estimation to shed light on the computational underpinnings of this performance deficit. In both groups, an RLDDM in which both non-decision time and decision threshold (boundary separation) changed over the course of the experiment accounted for the data best. The model showed good parameter and model recovery, and posterior predictive checks revealed that, in both groups, the model accurately reproduced the evolution of accuracies and RTs over time. Modeling revealed that, compared to controls, the learning impairment in the gambling group was linked to a more rapid reduction in decision thresholds over time, and a reduced impact of value-differences on the drift rate. The gambling group also showed shorter non-decision times. FMRI analyses replicated effects of prediction error coding in the ventral striatum and value coding in the ventro-medial prefrontal cortex, but there was no credible evidence for group differences in these effects. Taken together, our findings show that reinforcement learning impairments in disordered gambling are linked to both maladaptive decision threshold adjustments and a reduced consideration of option values in the choice process.

Components of identity expression in problem and non-problem gamblers

Few studies have examined whether specific aspects of group identification predict problematic and non-problematic addictive behaviours and none have focused on gambling. Applying Leach et al.’s (2008) hierarchical model of in-group identification, we tested the associations between components of self-investment (satisfaction, solidarity, and centrality) and components of self-definition (individual self-stereotyping, in-group homogeneity) on distinguishing between problem and non-problem gambling (n = 10,157) and on the severity of problematic gambling behaviour (n = 2,568). Results showed that (i) in-group-based identities are important in predicting problematic vs. non-problematic gambling behaviours; (ii) in-group-based identities are important in predicting the severity of problematic gambling; (iii) how self-invested an individual is with their in-group and aspects associated with self-definition processes are both important predictors; (iv) perceptions related to how chronically salient one’s group membership is for the self (centrality) are essential features of the self-investment mechanism; and (v) self-stereotypical beliefs about one’s essential similarities to the prototypical gambling group member norm are fundamental for the defining oneself as a gambler.

Prevalence and Clinical Characteristics of Recreational and At-Risk/Problematic Gambling Among Low-Income U.S. Veterans: Results from the National Veteran Homeless and Other Poverty Experiences (NV-HOPE) Study.

This study examined associations between recreational gambling (RG) and at-risk/problem gambling (ARPG), and clinical measures of mental illness and substance use, functionality, homelessness, in a nationally representative sample of U.S. military veterans. Data were analyzed from 781 veterans who participated National Veteran Homeless and Other Poverty Experiences (NV-HOPE) study conducted in 2021. Chi-square tests, analyses of variance (ANOVAs) and logistic regressions analyses were conducted to examine unadjusted and adjusted associations between gambling group status and sociodemographic, psychiatric, substance use, functioning, and homelessness measures. A significant minority of low-income U.S. veterans reported gambling, with 24.9% (95% confidence interval [CI] 95% CI 21.12-28.76%) exhibiting RG and 6.7% (95% CI 3.88-9.42%) screening positive for ARPG. The prevalence of ARPG was higher among younger, non-White veterans. ARPG was associated with greater symptoms of substance use and anxiety; poorer physical functioning; history of any mental illness; lifetime history of homelessness; and having any student or car loans relative to NG. Veterans who had RG were more likely to screen positive for drug use disorders relative to NG. Results of the current study provide an up-to-date estimate of the current prevalence of RG and ARPG among low-income U.S. veterans and underscore the importance of routine screening, monitoring, and development of interventions for problematic gambling severity, as well as interventions for ARPG in this population. These findings may inform targeted intervention strategies for this vulnerable subpopulation.

Gambling Behavior of Excluded Gamblers in a Multi-venue Exclusion System: Results from a Three-Wave Survey Conducted in Switzerland

Gamblers enrolled in the Swiss Multi-Venue Exclusion Program completed a written questionnaire three times, at six-month intervals. In addition to sociodemographic information, they provided details of their gambling behavior, and completed the South Oaks Gambling Screen-Revised (SOGS-R). The excluded gamblers were compared to a control group of non-excluded gamblers who also completed the questionnaire. The baseline survey demonstrated that there was a significant association between gamblers status (excluded n = 87 and non-excluded n = 259) and income (p = .039), as well as debt situation (p < .001) and SOGS-R score classification (p < .001). Over the course of three surveys, 242 gamblers participated. Of these, 133 respondents were not excluded from casinos at any time, 33 were excluded at the time of the first survey wave and remained so, while the exclusion status of 76 respondents changed over time, thus they were excluded for a minimum of one wave. Overall, 12.1% of excluded individuals stopped gambling altogether. Although exclusion is circumvented by some gamblers, it is associated with significant reductions in frequency, duration, and expenditure, as well as severity of problem gambling. The effects were more significant among gamblers who were excluded from casinos during the entire survey period. The results suggest that the duration of an exclusion should be at least six months instead of the current three months. 62.6% of the excluded gamblers had at least one exclusion lifted during the survey period. Further research is needed to investigate the implications of repeated exclusions for gambling-specific problems.

Gambling behavior and criminal convictions: a register-based investigation

Background Gambling severity and criminal convictions are known to be correlated, but there is a lack of understanding of the associations between the type and frequency of offending, game types, gambling motives and gambling intensity. This study aims to fill this gap by examining systematically whether conviction prevalence varies with gambling behavior. Method The study combined register-based variables on criminal convictions from the past 45 years to a gambling-related population survey (n = 3993). Descriptive data are provided on the prevalence of criminal convictions among different past-year gambling behavior subgroups. Logistic regression models were built to explore the associations between having convictions on one’s record and gambling behavior traits more in depth. Results The results of this study indicate that the prevalence of having criminal convictions not only varies among different demographic groups and well-being correlates, but also among different groups of past-year gamblers based on played game types, gambling versatility, gambling severity and gambling motives. Having a history of convictions was predicted by male gender, older age group, receiving basic social allowance, at-risk gambling and risky alcohol use. Escape as a gambling motive and playing EGMs proved to be significant predictors of having multiple criminal convictions. Conclusions Gamblers differ in conviction prevalence as a function of gambling game types, versatility and gambling motives. These findings contribute to better understanding the dialectic interplay between gambling and criminal behavior and may inform the development of targeted interventions.

대학생의 몰입상태, 정서인식명확성, 자살위험성 간 구조적관계

Objectives The purpose of this study is to examine the differences among college students' flow, emotional clarity, and suicide risk variables according to the level of gambling addiction, and to verify the difference in influence between the variables according to the level of gambling addiction. Methods The To this end, after selecting 633 students from 7 universities located in Daegu, Gyeongbuk, and Busan, research analysis was conducted using F-test and multigroup analysis. Statistical significance was verified at a significance probability of .05. Results First, there were significant differences in flow, emotional clarity, and suicide risk of college students according to the level of gambling addiction. In other words, the pathological gambling group showed a higher flow state and suicide risk than the low-risk gambling group, and showed a lower emotional clarity. Second, in the verification of the difference in influence between flow, emotional clarity, and suicide risk, it was found that there was a significant difference according to the level of gambling addiction in all pathways. Conclusions It was found that the pathological gambling group showed a higher suicide risk based on a higher flow state than the low-risk gambling group, and showed a lower emotional clarity based on a higher flow state. The low-risk gambling group showed a lower suicide risk based on higher emotion clarity compared to the pathological gambling group. Therefore, it can be suggested that a program for emotional and behavioral control needs to be applied to a group with gambling addiction problems.

Prevalence and Clinical Characteristics of Recreational and At-Risk/Problematic Gambling in a National Sample of U.S. Military Veterans.

Gambling among U.S. military veterans is common, with more extensive involvement linked to gambling disorder and associated problems. This study examined associations between recreational gambling (RG) and at-risk/problem gambling (ARPG), and clinical measures (psychiatric disorders, substance use), behaviors (suicidality, homelessness, arrests) and functioning in a nationally representative sample of U.S. military veterans. Data were analyzed from 4069 veterans who participated in the National Health and Resilience in Veterans Study. Chi-square tests, analyses of variance (ANOVAs) and logistic regressions were conducted to examine unadjusted and adjusted associations between gambling group status and lifetime and current psychiatric diagnoses and behavioral and functioning measures. A significant minority of U.S. veterans reported gambling, with 27.3% (95% confidence interval [CI] 25.5-29.1%) exhibiting RG and 4.9% (95% CI 4.0-5.9%) screening positive for ARPG. The prevalence of ARPG was higher among younger, non-White, male veterans, while RG was more prevalent among retired veterans and those with higher household incomes relative to non-gambling (NG) individuals. ARPG was associated with greater trauma burden, lifetime and current psychiatric diagnoses, mental health treatment, alcohol and drug use disorders, suicidal ideation, homelessness, arrests, and poorer functioning relative to NG and RG, with stronger magnitude differences relative to NG. RG was associated with substance use disorders and arrest histories relative to NG. Results of the current study provide an up-to-date estimate of the current prevalence of RG and ARPG among U.S. veterans and underscore the importance of routine screening and monitoring of gambling problems, as well as interventions for ARPG in this population.

Development and Psychometric Properties of a New Patient-Reported Outcome Instrument of Health-Related Quality of Life Specific to Patients with Gambling Disorder: The Gambling Quality of Life Scale (GQoLS).

Background. Impairment or distress caused by gambling disorder can be subjectively assessed via quality of life. The aim of this study was to develop a new patient-reported outcome instrument to explore the health-related quality of life (HRQoL) in gambling disorders, the Gambling quality-of-life scale (GQoLS), and to document its psychometric properties. Methods. A previous qualitative study had been conducted using focus groups of problem gamblers to identify areas of HRQoL impacted by gambling. The seven domains identified served as the basis for the hypothetical structure of GQoLS. Draft items were generated from the patient’s speeches to illustrate each of these domains. Cognitive debriefing interviews were realized to obtain a final hypothetical GQoLS. A validation study was then carried out to determine the final version of GQoLS and its psychometric properties (structural validity, construct validity, internal consistency). Results. The final GQoLS was composed of 21 items, with a total mean score of 38.3 (±13.6). Structural validity found a major dimension and four other minor dimensions. The five dimensions were: “emotion”, “lifestyle”, “loneliness”, “taboo” and “preoccupation”. GQoLS was moderately to strongly correlated with PGSI and EQ-5D visual analogic scale. Cronbach’s alpha coefficient was 0.92. Conclusion. GQoLS is the first HRQoL instrument specific to patients with a gambling disorder and developed from the patient’s perspective. GQoLS presents good psychometric properties. GQoLS can be used in clinical research to demonstrate the effectiveness of an intervention on outcomes that are relevant from the patient’s perspective.

Parameters for Change in Offline Gambling Behavior After the First COVID-19 Lockdown in Germany.

IntroductionIn spring 2020, the first nationwide lockdown in response to the spreading COVID-19 pandemic came into effect in Germany. From March to May, gambling venues, casinos, and betting offices were forced to close. This study explores how land-based gamblers respond to short-term closures of higher-risk forms of gambling. Which gamblers are particularly susceptible to switching to online gambling? Which are more likely to use the lockdown as an opportunity to quit or pause gambling? Potential parameters for these switching or cessation processes are identified using multivariate multinomial logistic regression analysis.MethodsThe research questions are analyzed on the basis of quantitative data. For this purpose, a survey was conducted among members of a comparatively large German online access panel (“PAYBACK panel”). The sample of analysis consisted of 612 gamblers who had participated in at least one higher-risk form of gambling and had done so exclusively offline before the first lockdown (January and February 2020).ResultsA total of 37.1% of sports bettors ceased participation in higher-risk forms of gambling, compared to 64.1% of casino gamblers. Switching to online gambling, on the other hand, was a rather rare event, regardless of the form of gambling: the proportions differ between 7.7% (slot machines) and 10.9% (sports betting). In the multivariate model female gender, younger age, and a lower frequency of gambling before the first lockdown were found to be significant factors for quitting (instead of continuing) higher-risk offline gambling forms. Secondly, the analysis revealed that individuals with more pronounced cognitive distortions had an increased risk of switching to online gambling rather than staying offline.DiscussionA key finding of this study is that the temporary closure of offline venues does not result in a significant shift towards the online market. Instead, the results of this study show that these short, temporary closures of gambling venues were an appropriate opportunity to give individual groups of gamblers the opportunity to reflect, reduce or quit gambling. It is worth considering implementing such temporary closures as a preventive measure in the future – this should be investigated in advance in further evaluation studies.

Benchmarking gambling screens to health-state utility: the PGSI and the SGHS estimate similar levels of population gambling-harm

BackgroundBoth the Problem Gambling Severity Index (PGSI) and the Short Gambling Harms Screen (SGHS) purport to identify individuals harmed by gambling. However, there is dispute as to how much individuals are harmed, conditional on their scores from these instruments. We used an experienced utility framework to estimate the magnitude of implied impacts on health and wellbeing.MethodsWe measured health utility using the Short Form Six-Dimension (SF-6D), and used this as a benchmark. All 2603 cases were propensity score weighted, to balance the affected group (i.e., SGHS 1+ or PGSI 1+ vs 0) with a reference group of gamblers with respect to risk factors for gambling harm. Weighted regression models estimated decrements to health utility scores attributable to gambling, whilst controlling for key comorbidities.ResultsWe found significant attributable decrements to health utility for all non-zero SGHS scores, as well as moderate-risk and problem gamblers, but not for PGSI low-risk gamblers. Applying these coefficients to population data, we find a similar total burden for both instruments, although the SGHS more specifically identified the subpopulation of harmed individuals. For both screens, outcomes on the SF-6D implies that about two-thirds of the ‘burden of harm’ is attributable to gamblers outside of the most severe categories.ConclusionsGambling screens have hitherto provided nominal category membership, it has been unclear whether moderate or ‘at-risk’ scores imply meaningful impact, and accordingly, population surveys have typically focused on problem gambling prevalence. These results quantify the health utility decrement for each category, allowing for tracking of the aggregate population impact based on all affected gamblers.

Erroneous Beliefs Verbalized While Playing Online Poker

The objective of this study was to compare erroneous beliefs of online Texas Hold’em poker players with different level of severity of problems, in situations that could cause negative emotions. Verbalizations of three groups of gamblers (low-risk, n=10; at-risk, n=10 and problem, n=10) while playing an online poker tournament in a laboratory setting. Participants were not aware that they played against research assistants and that all cards received were predetermined and the same for all participants. Beliefs related to the illusion of control were found in the three groups of gamblers. At-risk and problem gamblers’ perceptions denote a greater influence given to their ability on the game results, with even a denial of the part played by chance. Poker-specific beliefs, different from those usually held by game-of-chance gamblers, were also found. These results are discussed to provide ideas in how to adapt erroneous perceptions questionnaires for online poker players.

Do Online Gambling Products Require Traditional Therapy for Gambling Disorder to Change? Evidence from Focus Group Interviews with Mental Health Professionals Treating Online Gamblers

Online gambling has significantly altered the situational and structural characteristics of gambling products, to the extent that online gamblers might be substantially different from traditional offline gamblers. A growing body of literature has identified the evolving features of online gambling and the individuals who engage in it. However, beyond understanding the individual characteristics of this subgroup, relatively less effort has been made to examine whether existing cognitive-behavioural therapy (CBT) approaches are still entirely relevant for online problem gamblers, or whether changes are needed to adapt according to gambling mode of access. To understand what kind of challenges online gambling poses to mental health professionals dealing with disordered gamblers, four focus groups comprising 28 Spanish participants were carried out. All the treatment providers had ongoing experience with online gamblers undergoing treatment, and included clinical psychologists, mental health social workers, and a medical doctor. The data were examined using thematic analysis. The analysis identified five main themes that characterised online gamblers: (1) being of younger age, (2) lack of conflicts at home and at work/educational centre, rarely presenting violent or aggressive behaviour, (3) gambling disorder only being identified by overdue debt, (4) co-occurring conditions with technology-related abuse rather than other substance-related addictions, and (5) skill-based gambling. The study highlights mental health workers’ perceived insecurities about how to best treat online gamblers, and discusses the specific characteristics that CBT for gambling disorder might need to incorporate to adjust for this particular group of gamblers.

Social disadvantage and gambling severity: a population-based study with register-linkage.

BackgroundStudies have found an association between problem gambling and poverty. However, there is relatively little research on social inequalities and problem gambling using population representative data.MethodsA population-representative self-report web-based and postal survey with register-based linkage was conducted in the three geographical areas of Finland. Participants (n = 7186, aged 18 or older) were randomly selected from the population register. Sociodemographic factors and social welfare benefits were studied among gambling groups and their statistical difference were examined by χ2 test. Seven logistic regression models were calculated, where unemployment, social security benefits and low income were treated as dependent variables and where sex, age, family structure and education were controlled as covariates. The results were presented as odds ratios (OR) with 95% confidence intervals (CIs).ResultsProblem and at-risk gambling (ARG) was more common among people who were unemployed [PG: χ2=6.4 (1), P < 0.01, ARG: χ2=12.4 (1), P < 0.001] or had received social security benefits [PG: χ2=41.6 (1), P < 0.001, ARG: χ2=22.9 (1), P < 0.001]. The OR for problem gambling was high as 5.6 (CI: 3.22–9.61) among respondents who had received social assistance even when covariates were taking into count. Almost a third of those experiencing problem or at-risk gambling received at least one form of social security benefit.ConclusionsThe most important task of gambling policy should be reducing gambling-related harms and diminishing social inequality. However, even in government organized system where gambling profits are used for common good, profits come from the most socially disadvantaged people thereby exacerbating inequality.

Association Between Problem Gambling and Functional Disability: A Nationally Representative Study Conducted in the United Kingdom.

Problem gambling is associated with multiple detrimental health outcomes. However, to date, no study has investigated the association between problem gambling and functional disability. Therefore, the aim of this study was to investigate the association between problem gambling and functional disability in a UK nationally representative sample. Cross-sectional data from the 2007 Adult Psychiatric Morbidity Survey were analyzed. Problem gambling was assessed using a questionnaire including 10 DSM-IV criteria, whereas functional disability referred to at least 1 difficulty in 1 of 7 activities of daily living and instrumental activities of daily living. Control variables included sociodemographic factors, smoking status, alcohol dependence, drug use, the number of chronic physical conditions, depression, and anxiety disorder. The problem gambling-functional disability relationship was studied using a logistic regression model. This study included 6941 adults aged ≥16 years (51.2% women; mean [SD] age 46.3 [18.6] years). The prevalence of functional disability was significantly higher in the at-risk problem gambling/problem gambling group than in the no problem gambling group (46.2% vs 32.1%, P value < 0.001). After adjusting for control variables, both at-risk problem gambling (OR = 1.55, 95% CI = 1.03-2.35) and problem gambling (OR = 3.05, 95% CI = 1.09-8.52) were positively and significantly associated with functional disability. In this large representative sample of UK adults, problem gambling was associated with higher odds for functional disability. If confirmed with longitudinal studies, these results suggest that those suffering from problem gambling should receive targeted intervention to aid in the prevention of functional disability.

Higher Trait Levels of Guilt may Protect Against Gambling, Whereas Higher State Levels Lead to Riskier Behaviour.

Research on the role of affect in problem gambling remains scarce to date, although it has been proposed that trait-levels of negative self-conscious emotions (SCEs) could be potential risk factors. We report two studies investigating the relationship between negative SCEs, gambling, and risky behavior. In the first study, we investigated shame, guilt and self-disgust in a group of problem-gamblers and control non-gamblers. In the second study, we investigated if experimentally manipulating state levels of guilt, using a narration-induction paradigm, in students with different levels of gambling behavior, would influence their behavior in the Balloon Analog Risk Task. We found that problem gamblers had significantly lower trait-levels of guilt when we adjusted for the influence of depression and anxiety symptoms (p = .008). Problem gamblers also exhibited lower levels of shame, but this difference seemed to be driven by guilt. Lower levels of guilt were significantly associated with higher levels of trait impulsivity (p = .004). In the second study, gamblers had higher state levels of guilt than non-gamblers at the outset, and the narration paradigm successfully induced guilt (p = .001). After the guilt induction, the group of gamblers had significantly less risky behaviour (lower number of pumps) than the group of non-gamblers (p = .021). However, this was primarily driven by an increase in risky behaviour in the non-gamblers (p = .006). Thus, overall our findings suggest that higher trait levels of guilt may act as a protective factor for gambling, whereas high state levels of guilt lead to riskier behaviour but only in people who are not gamblers.

Commentary on Heirene & Gainsbury: Re-thinking prevention in the gambling field through applying the triad universal, selective and indicated preventions.

Re-thinking the prevention of gambling-related harms by applying the triad of universal, selective and indicated prevention approaches could better target initiatives to populations. Heirene & Gainsbury promote an indicated prevention approach to encourage limit-setting, and targeting this to an appropriate time in the gambling course could optimize its acceptability by operators and effectiveness. Alcohol and substance use disorder fields tend to conceptualize prevention as ‘universal’ (offered to the whole population), ‘selective’ (targeting subpopulations with biological, psychological and/or socio-cultural risk factors) and ‘indicated’ (targeting people who are engaging in hazardous behaviours and have precursors or symptoms of substance use disorder) [1-4]. Indicated prevention programmes seek to refer people to appropriately matched brief or more intensive treatment interventions. The gambling field has developed its own prevention framework using the concept of ‘responsible gambling’ [5]. Responsible gambling was developed as a harm reduction approach to accommodate the divergent interests of gambling stakeholders, and is similar to very early models of alcohol harm reduction [6]. As discussed by Heirene & Gainsbury [7], contemporary responsible gambling approaches typically promote ways in which people can use tools to set limits to their wagering or self-exclude from gambling altogether. These are usually implemented through a selective prevention approach, although there is passive targeting of all gamblers. There is evidence that gambling operators assume that these prevention measures are sufficient [8]. However, additional prevention interventions providing information and better decision-making have been proposed to target causal, frequent and intensive gambling groups [9, 10]. Re-thinking prevention in the gambling field via a triad of universal, selective and indicated preventions could guide existing and future prevention initiatives in gambling, personalized to the targeted population. For instance, some tools could be more relevant in an indicated approach, targeting gamblers who have impairments in cognitive control. Self-exclusion is a good example, because previous research suggests that this action mainly appeals to people with a gambling disorder [11-13]. Nevertheless, it is still considered as a responsible gambling tool in a selective prevention approach for all gamblers. Developing self-exclusion in an indicated approach would provide the opportunity to proactively propose self-exclusion to highest risk gamblers, screened using validated tools, and further involve them in dedicated therapeutic interventions when needed. In their study [7], Heirene & Gainsbury tested a proactive message promoting limit-setting to all gamblers without a limit set (i.e. a group with a risky gambling pattern of use, placing their intervention in a proactive and selective prevention approach). An important finding was that the largest predictor of limit-setting was having previously set and then removed a limit. People who remove previous set limits will probably do so because either the limit was too low or because they are now experiencing symptoms of gambling disorder (GD) [14]. Further, this finding suggests that proactive limit-setting after the initial period of gambling on an operator's website could be effective in an indicated prevention approach for people with early symptoms of GD. The fact that once a responsible gambling tool is used it is more easily re-used supports previous findings on self-exclusion [15]. Heirene & Gainsbury discuss their findings in the light of previous data targeting gamblers with hazardous behaviours [16]. Although we should recognize that gambling operators may be resistant to displaying messages repeatedly so that their products have less appeal [6], there are important opportunities to further develop this approach to help prevent gambling-related harm. The triad of indicated, selective and universal prevention provides the opportunity to optimize effectiveness, feasibility in real life and acceptability of interventions. None.

Impulsivity, Emotion Regulation, Cognitive Distortions and Attentional Bias in a Spanish Sample of Gambling Disorder Patients: Comparison between Online and Land-Based Gambling.

Several risk factors have been related to the onset and maintenance of gambling disorder (GD). The aim of this study was to explore the differences in emotion dysregulation, impulsivity, cognitive distortions, and attentional bias between online and land-based gamblers. The sample consisted of 88 treatment-seeking patients from the Behavioral Addictions Unit at the Hospital de la Santa Creu i Sant Pau, Barcelona (Spain). Patients were divided into two groups by considering their main type of gambling, i.e., online (n = 26) and land-based gambling (n = 62). Online gamblers were younger, more often employed, with a higher educational level than land-based gamblers. Regarding the rest of the variables, statistically significant differences were only found in Positive Urgency, one of the UPPS-P subscales, in which the land-based gambling group scored higher than the online gambling group. In this exploratory study, individuals with online and land-based GD phenotypes did not differ either in difficulties in emotion regulation or in attentional and cognitive biases. However, land-based GD patients showed a higher tendency to succumb to strong impulses under the influence of positive emotions. These preliminary findings warrant the need to continue investigating GD phenotypes in larger patient samples.

The Hidden Danger in Digital Children Games: Gambling

The history of gambling is linked and proportionate to the history of humanity. No matter how far you go back in human history, remnants show that gambling groups have come together, and gambling games are taking place. In digital children games, gambling will and albeit somehow, by paying different costs. Because technology has become an integral part of our lives and the age of using technology has dropped until the preschool age. This may raise concern in terms of gambling, although not for every digital game. With this article, the reason for the danger in digital children's games, the proportion of existing digital games with computer addiction, not by directly targeting the names and brands, was investigated. Because the danger of gambling can occur in any game, in any way, and at unexpected costs. To get to the root of the problem, it was investigated why people spend time at the computer and why they want to earn. However, as the theories revealing the causes of digital children's games also show, gamers are unaware of the gambling danger of many games. When a desire for addiction is combined with the person's urge to show up, the face of invisible danger, gambling appears. With this research, the obvious danger of technology and internet addiction has been taken into consideration as well as gambling, which is a hidden danger. In addition to the devotion of individuals to digital games, their time spent in front of the computer and is unhealthy environments were also examined. Results were tried to be reached in line with the findings obtained.

Online Problem Gambling: A Comparison of Casino Players and Sports Bettors via Predictive Modeling Using Behavioral Tracking Data

In this study, the differences in behavior between two groups of online gamblers were investigated. The first group comprised individuals who played casino games, and the second group comprised those who bet on sports events. The focal point of the study was on problem gambling, and the objective was to identify and quantify both common and distinct traits that are characteristic to casino and sports problem gamblers. To this end, a set of gamblers from the gaming operator LeoVegas was studied. Each gambler was ascribed two binary variables: one separating casino players from sports bettors, and one indicating whether there was an exclusion related to problem gambling. For each of the four combinations of the two variables, 2500 gamblers were randomly selected for a thorough comparison, resulting in a total of 10,000 participants. The comparison was performed by constructing two predictive models, estimating risk scores using these models, and scrutinizing the risk scores by means of a technique originating from collaborative game theory. The number of cash wagers per active day contributed the most to problem-gambling-related exclusion in the case of sports betting, whereas the volume of money spent contributed the most to this exclusion in the case of casino players. The contribution of the volume of losses per active day was noticeable in the case of both casino players and sports bettors. For casino players, gambling via desktop computers contributed positively to problem-gambling-related exclusion. For sports bettors, it was more concerning when the individual used mobile devices. The number of approved deposits per active day contributed to problem-gambling-related exclusion to a larger extent for sports bettors than casino players. The main conclusion is that the studied explanatory variables contribute differently to problem-gambling-related exclusion among casino players and sports bettors.