Prevalence of Problem Gambling Among the Prison Population in Hamburg,Germany

Despite the increasing research in gambling, the prevalence of problem gambling in the criminal justice population is rarely investigated, especially in Europe. Given the lack in knowledge the Hamburg study aimed at identifying the prevalence of problem gambling in the whole regional prison population. For this purpose two major approaches were used: a 10 months long-term screening of pre-trial detainees at prison entry through the Lie/Bet Questionnaire, and full-scale survey of inmate personnel records of prisoners being in prison on a defined reporting date. Based on 792 valid screening files 6.6 % of the pre-trial detainees were positive on the Lie/Bet Questionnaire, and these problem gamblers were male only. Among the 1,236 inmate personnel records reviewed in 7.3 % the records indicated problem gambling (90 prisoners). This indication was found in 7.5 % males and 3.6 % females. For almost half of the prisoners with problem gambling their prison sentence was related to their gambling behavior (46.7 %). These results are representative for the regional prison population, and the first of its kind in Europe.     

The Categorical Stability of Gambling Motives Among Community-Recruited Gamblers: A Longitudinal Assessment

Over the past decade, several motivational models have been proposed to explain the role of motives in gambling disorder. In the model captured by the four-factor Gambling Motives Questionnaire Financial (GMQ-F), gamblers are described as being primarily motivated to gamble for ‘coping’, ‘enhancement’, ‘social’, and ‘financial’ reasons. Although this model has received significant empirical support; to date, research assessing the role of motives in gambling disorder has been primarily cross-sectional in nature. Thus, the extent to which gambling motives remain stable over time has yet to be explored. In the current study, the stability versus fluidity of self-assessed gambling motives was investigated using the Quinte Longitudinal Study, a longitudinal dataset of gambling behaviour collected over 5 years. Gambling motives of 2795 gamblers were examined over all five annual assessments. The total proportion of gamblers who stayed in the same primary motive category across each of the 5 consecutive assessments was 22%, indicating substantial fluidity in category membership. Substantial movement between categories was seen for each GMQ-F group, as well as an additional group of non-classified motives. Logistic regression analyses suggest that greater resistance to gambling fallacies significantly predicted stability between the baseline assessment and a follow-up 1 year later, but gambling severity did not. Potential limitations in the study design and opportunities for future research are discussed.     

Self-generated motives for gambling in two population-based samples of gamblers

In the present study, self-generated responses to a question regarding reasons for gambling from two epidemiological surveys were combined and placed into another earlier motivational model for alcohol use, adapted for gambling. Of the 3601 reasons, 954 could be categorised into the model's categories: (a) coping motives (internal, negative reinforcement); (b) enhancement motives (internal, positive reinforcement); and (c) social motives (external, positive reinforcement). Results indicate that coping gamblers experienced greater gambling severity and psychopathology, enhancement gamblers were most likely to gamble while intoxicated and social gamblers were more likely to choose socially-related gambling. An examination of remaining motives suggests additional categories may be warranted – specifically financial and charitable reasons. These findings offer some support for the model; however, it may need to be expanded to account for other motives. The study highlights the advantages and limitations of using self-generated reasons to study gambling motivation.     

Subtyping Non-treatment-seeking Problem Gamblers Using the Pathways Model

This study examined whether distinct subgroups could be identified among a sample of non-treatment-seeking problem and pathological/disordered gamblers (PG) using Blaszczynski and Nower’s (Addiction 97:487–499, 2002) pathways model (N = 150, 50% female). We examined coping motives for gambling, childhood trauma, boredom proneness, risk-taking, impulsivity, attention-deficit/hyperactivity disorder (ADHD), and antisocial personality disorder as defining variables in a hierarchical cluster analysis to identify subgroups. Subgroup differences in gambling, psychiatric, and demographic variables were also assessed to establish concurrent validity. Consistent with the pathways model, our analyses identified three gambling subgroups: (1) behaviorally conditioned (BC), (2) emotionally vulnerable (EV), and (3) antisocial-impulsivist (AI) gamblers. BC gamblers (n = 47) reported the lowest levels of lifetime depression, anxiety, gambling severity, and interest in problem gambling treatment. EV gamblers (n = 53) reported the highest levels of childhood trauma, motivation to gamble to cope with negative emotions, gambling-related suicidal ideation, and family history of gambling problems. AI gamblers (n = 50) reported the highest levels of antisocial personality disorder and ADHD symptoms, as well as higher rates of impulsivity and risk-taking than EV gamblers. The findings provide evidence for the validity of the pathways model as a framework for conceptualizing PG subtypes in a non-treatment-seeking sample, and underscore the importance of tailoring treatment approaches to meet the respective clinical needs of these subtypes.     

Does gambling type moderate the links between problem gambling,emotion regulation,anxiety, depression and gambling motives

The aim of this study is to assess the link between emotion regulation, depression, anxiety and gambling motives among a population of regular gamblers, distinguishing between strategic and chance game players. We recruited 287 regular gamblers online, including both problem (PG) and non-problem gamblers (NPG). All participants completed online questionnaires to screen for problem gambling (SOGS) and to assess emotion regulation (ERQ), anxiety and depression (HADS) and gambling motives (GMQ-F). In this sample, 33.4% of participants were PG. PG scored significantly higher than NPG on the GMQ-F (except for the social subscale) and HADS, but not in ERQ. Gamblers who played both strategic and chance games displayed more frequent and severe gambling problems and had higher depression and anxiety scores than those playing only strategic games. Overall, enhancement and financial motives and depression significantly predicted PG. Finally, the study found that gambling type moderates the relationship between problem gambling and expressive suppression, depression and gambling motives. The results show the intricate relationship between gambling motives and psychiatric symptoms (in particular, depression) in PG. Mixed and strategic gamblers share common motives, but coping, financial and enhancement were stronger among PG. Finally, they emphasize the differences between different types of gamblers.     

Gambling Motives: Do They Explain Cognitive Distortions in Male Poker Gamblers?

Gambling behavior is partly the result of varied motivations leading individuals to participate in gambling activities. Specific motivational profiles are found in gamblers, and gambling motives are closely linked to the development of cognitive distortions. This cross-sectional study aimed to predict cognitive distortions from gambling motives in poker players. The population was recruited in online gambling forums. Participants reported gambling at least once a week. Data included sociodemographic characteristics, the South Oaks Gambling Screen, the Gambling Motives Questionnaire-Financial and the Gambling-Related Cognition Scale. This study was conducted on 259 male poker gamblers (aged 18–69 years, 14.3% probable pathological gamblers). Univariate analyses showed that cognitive distortions were independently predicted by overall gambling motives (34.8%) and problem gambling (22.4%) (p < .05). The multivariate model, including these two variables, explained 39.7% of cognitive distortions (p < .05). The results associated with the literature data highlight that cognitive distortions are a good discriminating factor of gambling problems, showing a close inter-relationship between gambling motives, cognitive distortions and the severity of gambling. These data are consistent with the following theoretical process model: gambling motives lead individuals to practice and repeat the gambling experience, which may lead them to develop cognitive distortions, which in turn favor problem gambling. This study opens up new research perspectives to understand better the mechanisms underlying gambling practice and has clinical implications in terms of prevention and treatment. For example, a coupled motivational and cognitive intervention focused on gambling motives/cognitive distortions could be beneficial for individuals with gambling problems.     

Risk Factors for Gambling Problems: An Analysis by Gender

Differences in problem gambling rates between males and females suggest that associated risk factors vary by gender. Previous combined analyses of male and female gambling may have obscured these distinctions. This study aimed to develop separate risk factor models for gambling problems for males and for females, and identify gender-based similarities and differences. It analysed data from the largest prevalence study in Victoria Australia (N = 15,000). Analyses determined factors differentiating non-problem from at-risk gamblers separately for women and men, then compared genders using interaction terms. Separate multivariate analyses determined significant results when controlling for all others. Variables included demographics, gambling behaviour, gambling motivations, money management, and mental and physical health. Significant predictors of at-risk status amongst female gamblers included: 18–24 years old, not speaking English at home, living in a group household, unemployed or not in the workforce, gambling on private betting, electronic gaming machines (EGMs), scratch tickets or bingo, and gambling for reasons other than social reasons, to win money or for general entertainment. For males, risk factors included: 18–24 years old, not speaking English at home, low education, living in a group household, unemployed or not in the workforce, gambling on EGMs, table games, races, sports or lotteries, and gambling for reasons other than social reasons, to win money or for general entertainment. High risk groups requiring appropriate interventions comprise young adults, especially males; middle-aged female EGM gamblers; non-English speaking populations; frequent EGM, table games, race and sports gamblers; and gamblers motivated by escape.     

Association of Problem Gambling with Type of Gambling Among Italian General Population

The origin of gambling disorders is uncertain; however, research has shown a tendency to focus on specific types of games as a potential important risk factor. The principal aim of this study is to examine the relationships between types of gambling practices and gambling disorder. The data were extracted from IPSAD-Italia^® 2010–2011 (Italian Population Survey on Alcohol and other Drugs), a survey among the Italian general population which collects socio-cultural information, information about the use of drugs, legal substances and gambling habits. In order to identify the “problem gambler” we used the Problem Gambling Severity Index. Three groups are considered in this analysis: no-risk gamblers, low-risk gamblers, moderate-risk/problem gamblers. Type of gambling practice was considered among two types of gambler: one-game players and multi-games players. 1.9 % of multi-game players were considered problem gamblers, only 0.6 % of one-game players were problem gamblers (p < 0.001). The percentage of players who were low and moderate-risk gamblers was approximately double among multi-game players, with 14.4 % low-risk and 5.8 % moderate-risk; compared with 7.7 % low-risk and 2.5 % moderate risk among one-game players. Results of ordinal logistic regression analysis confirmed that higher level of gambling severity was associated with multi-game players (OR = 2.23, p < 0.0001). Video-poker/slot-machines show the highest association with gambling severity among both one-game players and multi-game players, with scores of OR equal to 4.3 and 4.5 respectively. These findings suggest a popular perception of risk associated with this type of gambling for the development of gambling problems.     

Gambling Responsibly: Who Does It and To What End?

Numerous responsible gambling (RG) strategies are promoted to assist consumers to “gamble responsibly”. However, consumer adoption of RG strategies, how this varies by gambler risk group, and whether usage is associated with non-problematic gambling are largely unknown. This study aimed to (1) determine how use of RG-related strategies differs amongst regular gamblers by gambler risk group; and (2) identify RG-related strategies whose usage predicts non-problem/low risk gambling. Regular Australian gamblers on high-risk products (N = 860), recruited through gambling venues and an online wagering operator, were surveyed about their use of RG strategies promoted on the website of their jurisdiction’s main RG agency. Knowledge of RG strategies was reasonably high amongst all gambler risk groups, but lower-risk groups were more likely to use RG strategies. A logistic regression correctly predicted 82.1 % of lower-risk gamblers and 77.2 % of higher-risk gamblers. Predictors of lower-risk gambling included: greater confidence in their understanding of RG; endorsement of lower gambling expenditure and frequency limits; fewer erroneous gambling beliefs; being less likely to gamble to win money, challenge their skills/beat the odds, or forget about worries and stresses; and being more likely to gamble for pleasure/entertainment. Lower-risk gamblers were more likely to set a money limit in advance of gambling and to balance their gambling with other activities. These findings contribute to understanding which strategies are favoured by different risk groups, and which are associated with safer levels of gambling. They can guide consumer information aimed at enhancing RG consumption and future research on RG consumption.     

Differences in the Gambling Behavior of Online and Non-online Student Gamblers in a Controlled Laboratory Environment

Although research suggests that approximately 1 in 4 college students report having gambled online, few laboratory-based studies have been conducted enlisting online student gamblers. Moreover, it is unclear the extent to which differences in gambling behavior exist between online and non-online student gamblers. The current study examined if online gamblers would play more hands, commit more errors, and wager more credits than non-online student gamblers in a controlled, laboratory environment. Online (n = 19) and non-online (n = 26) student gamblers played video poker in three separate sessions and the number of hands played, errors committed, and credits wagered were recorded. Results showed that online student gamblers played more hands and committed more errors playing video poker than non-online student gamblers. The results from the current study extend previous research by suggesting that online gamblers engage in potentially more deleterious gambling behavior (e.g., playing more hands and committing more errors) than non-online gamblers. Additional research is needed to examine differences in the gambling behavior of online and non-online gamblers in a controlled, laboratory environment.     

Problem Gambling Among Urban and Rural Gamblers in Limpopo Province,South Africa: Associations with Hazardous and Harmful Alcohol Use and Psychological Distress

Little is known about the mental health correlates of problem gambling in low- and-middle-income countries such as South Africa and whether these correlates vary by urbanicity. To address this gap, we examined mental health factors associated with problem gambling among gamblers in Limpopo Province, South Africa disaggregated by rural, peri-urban and urban location. A survey of gambling behaviour and mental health was conducted among 900 gamblers. Overall, 28.3 % were at high risk and 38.1 % were at moderate risk for problem gambling. For the entire sample, hazardous/harmful alcohol use was associated with almost twofold increased chance of being at moderate risk (AOR 1.83; 95 % CI 1.08, 3.11) and almost sevenfold greater odds (AOR 6.93; 95 % CI 4.03–11.93) of being at high risk for problem gambling. Psychological distress was associated with being at high risk for problem gambling only (AOR 1.18; 95 % CI 1.14–1.22). After stratifying by urbanicity, hazardous/harmful alcohol use and psychological distress remained associated with high risk gambling across all locations. We found little knowledge of a free gambling helpline and other gambling services—particularly in less urbanised environments [χ² (2), 900 = 40.4; p < 0.001]. These findings highlight the need to increase awareness of free helpline services among gamblers and to ensure gambling services include screening and treatment for common mental disorders.     

Use of a Short Gambling Screen with an Arrestee Population: A Feasibility Study

Problem gamblers have been disproportionally found among prisoners. This study sought to (1) demonstrate if a short screening instrument (Lie/Bet Questionnaire) can expeditiously identify problem gamblers during the initial Criminal Justice System stage, and (2) examine the relationships between problem gambling and criminality among arrestees. Surveys were conducted with 959 inmates (from 1,445 approached) at a Central Booking Facility in Tampa, Florida. Among those surveyed, 81% were male with average age of 32.9. Ethnic distribution of those surveyed was Blacks (35.8%), Whites (43.3%), Hispanics (19.3%), Others (2.4%). Sixty-eight percent had completed trade school or less, 20% had some college and 12% were college graduates. Among those reporting gambling the year prior, 32.7% were problem gamblers according to the Lie/Bet. If including those who declined, the percent drops to a considerable 17.4% of the entire sample. Problem gamblers were significantly more likely to be charged with a drug or status crime, as well as being charged with a felony. Feasibility of screening inmates in an intake facility using the Lie/Bet Questionnaire was found. Furthermore, we found a need for gambling screening. Gambling courts should be considered.     

A Latent Class Analysis of Gambling Activity Patterns in a Canadian University Sample of Emerging Adults: Socio-demographic,Motivational, and Mental Health Correlates

This analysis of gambling habits of Canadian university students (ages 18–25) dovetails two recent developments in the field of gambling studies. First, the popularity of latent class analysis to identify heterogeneous classes of gambling patterns in different populations; second, the validation of the Gambling Motives Questionnaire (with financial motives) among university students—specifically to understand both how and why emerging adults gamble. Our results support a four-class model of gambling activity patterns, consisting of female-preponderant casual and chance-based gambling groups, and male-preponderant skill-based and extensive gambling groups. Each class shows a specific combination of motives, underscoring the necessity for nuanced responses to problem gambling among emerging adults. More specifically, gambling for the skill-based group appears primarily to be a source of thrill and a way to cope; for the chance-based group, gambling appears but one symptom of a set of wider issues involving depression, anxiety, substance use, and low self-esteem; while extensive gamblers seem to seek excitement, sociality, and coping, in that order. Only the chance-based group was significantly more likely than casual gamblers to be motivated by financial reasons. Situating our analysis in the literature, we suggest that interventions for the predominantly male subtypes should address gambling directly (e.g. re-focusing excitement seeking into other activities, instilling more productive coping mechanisms) while interventions for predominantly female subtypes should address low self-esteem in conjunction with depression, substance abuse, and problematic levels of gambling. We conclude future research should focus on links between self-esteem, depression, substance abuse, and financial motives for gambling among female emerging adults.     

Adaptive and Maladaptive Coping Strategies in Adult Pathological Gamblers and Their Mediating Role with Anxious-Depressive Symptomatology

Coping plays a central role in the appearance and persistence of pathological gambling. Anxious and depressive symptomatology also influence pathological gambling and are related to coping. This study aimed to analyze pathological gamblers’ coping strategies and styles, as well as associated anxious and depressive symptomatology. The study sample included 167 male pathological gamblers (mean age = 39.29 years) and 107 non-gamblers (mean age = 33.43 years). Measures of gambling, coping, and anxious and depressive symptomatology were used. Results showed that pathological gamblers’ scored higher in all the maladaptive coping strategies, problem- and emotion-focused disengagement, and disengagement subscales. These subscales also correlated with pathological gambling, and anxious and depressive symptomatology. Pathological gamblers also scored higher in emotional expression and emotion-focused engagement, with no differences in the rest of the adaptive coping strategies. Coping was also found to predict pathological gambling and anxious and depressive symptomatology. It was found that coping mediated the relationship between pathological gambling and anxious symptomatology when controlling for the effect of age. Specifically, social withdrawal and disengagement stood out as mediators. These results provide practical information for use in clinical settings with people diagnosed with pathological gambling.     

The Social and Psychological Impacts of Gambling in the Cree Communities of Northern Québec

A detailed survey of gambling, addiction and mental health was conducted with randomly selected respondents (n = 506) from four Cree communities of Northern Quebec. The study examined the current patterns of gambling in relation to demographic, social, and psychological factors. Instruments included the Canadian Problem Gambling Index, Addiction Severity Index, Beck Depression Inventory and the computerized Diagnostic Interview Schedule for psychiatric diagnoses. Overall, 69.2 % of the total sample participated in any gambling/gaming activities over the past year; 20.6 % of this group were classified as moderate/high risk gamblers, and 3.2 % were classified in the highest “problem gambling” category. Considering the entire sample, the overall prevalence of problem gambling was 2.2 %. Women were significantly more likely to play bingo (56.6 %) compared to men (35.1 %) and they played more frequently; 20.8 % of women versus 3.8 % of men played once/week or more often. Compared to the no/low risk gamblers, a greater proportion of moderate/high risk gamblers were cigarette smokers (44.8 vs. 56.3 %), they were more likely to meet DSM-IV diagnostic criteria for alcohol dependence (21.2 vs. 46.2 %), and they were more likely to report moderate to severe depressive symptoms in the past month. Risk factors for problem gambling included traumatic life events (physical and emotional abuse), anxiety and depression, as well as drug/alcohol abuse. The high rates of comorbidity between problem gambling, tobacco dependence, substance abuse and other psychological problems demonstrate that gambling among some Cree adults is part of a pattern of high-risk factors for negative long-term health consequences. The results also have implications for treatment, suggesting that interventions for gambling disorders should not focus on gambling alone but rather the constellation of high-risk behaviours that pose a risk to recovery and well-being.     

Adolescent Gambling and Problem Gambling: Does the Total Consumption Model Apply?

This study describes the extent and distribution of gambling among Norwegian adolescents. The study assesses whether gambling frequency and expenditures and prevalence of problem gambling are associated both at the individual and aggregate (school) level, and in particular whether the total consumption model applies to gambling behaviour. Data comprised a national representative sample of 11,637 13- to 19-year-old students in 73 schools (response rate 92.3%). The Lie/Bet Questionnaire and an additional DSM-criterion on chasing the losses were applied to assess problem gambling. A majority (78.5%) had gambled during the last year and 3.1% met all three criteria for problem gambling. Gambling frequency and expenditures were much higher among problem gamblers and increased proportionally with the degree of problem gambling. The 6.1% who scored on both Lie/Bet items accounted for 59% of all gambling expenditures on slot machines. Positive and significant correlations between various indicators of problem gambling and the overall amount of gambling at the aggregate (school) level imply that the higher the overall amount of gambling and gambling expenditures are, the higher the prevalence of problem gambling, which indicates that the total consumption model also applies to gambling behaviour among adolescents.     

Raising the legal gambling age in Finland: problem gambling prevalence rates in different age groups among past-year gamblers pre- and post-implementation

This article reports on the frequency of problem gambling, measured with the Lie/Bet instrument, in different age groups among Finnish past-year gamblers in 2011 (n = 2984) and 2014 (n = 2326). The data highlights the situation before, and three years after, the implementation of a raised minimum age limit for gambling from 15 to 18 years. The difference in problem gambling frequency when comparing all age groups was statistically significant in 2011, but not in 2014. A significantly lower frequency of problem gambling was found among 18–19-year-olds in 2014 (3.4%), compared to 2011 (16.3%). The results regarding problem gambling prevalence among 15–17-year-olds (8.0% in 2011, 0.0% in 2014) are somewhat inconclusive as the number of respondents fulfilling the criteria for problem gambling was zero in 2014, thus affecting the analysis. No statistically significant difference in problem gambling frequency was found among 20–21-year-olds (a group less affected by the policy implementation) – or other older age groups – between the survey years. While the findings should be viewed with caution, they do support recommendations regarding a minimum gambling age of 18 years or higher as an effective harm-minimization measure.     

Fun Seeking and Reward Responsiveness Moderate the Effect of the Behavioural Inhibition System on Coping-Motivated Problem Gambling

Gray’s Reinforcement Sensitivity Theory (RST) predicts that the Behavioral Inhibition System (BIS) may relate to coping-motivated problem gambling, given its central role in anxiety. Studies examining the BIS-problem gambling association, however, are mixed. The revised RST posits that the Behavioral Approach System (BAS) may moderate the effect of the BIS on coping-motivated problem gambling. A concurrently strong BAS may highlight the negatively reinforcing effects of gambling, which may strengthen coping motives and increase gambling-related harms. We examined these interactive effects to clarify the moderators and mediators of the negative reinforcement pathway to problem gambling. Data came from a larger investigation of problem gambling among individuals with mood disorders. All participants (N = 275) met criteria for a lifetime depressive or bipolar disorder. During a two-day assessment, participants completed a diagnostic assessment and self-reports. Mediated moderation path analysis showed positive indirect effects from the BIS to problem gambling via coping motives at high, but not at low, levels of BAS-Reward Responsiveness and BAS-Fun Seeking. Enhancement motives were also found to mediate the associations of BAS-Fun Seeking and BAS-Drive with problem gambling. Reward Responsiveness and Fun Seeking facets of the BAS may strengthen coping gambling motives within the mood disorders.     

An Investigation of the Association Between Shame and Problem Gambling: The Mediating Role of Maladaptive Coping Motives

Despite often being considered equivalent affective states, shame and guilt have differential associations with problem gambling with only shame showing a strong positive association with problem gambling. However, little is known about the mechanisms underlying the shame-problem gambling association. Further, shame and guilt are associated with distinct coping strategies, with shame motivating maladaptive coping (e.g., avoidance, escape) and guilt motivating adaptive coping (e.g., taking corrective action). This study aimed to examine whether maladaptive coping motives for gambling mediate the relationship between shame, but not guilt, and gambling problems. Participants were 196 (126 male) regular gamblers who completed a same and guilt scale, the Problem Gambling Severity Index, and a modified Gambling Motives Questionnaire, which assessed individual motives to engage in gambling for coping, enhancement, or social reasons. Results indicated that coping motives for gambling fully mediated the relationship between shame and problem gambling severity, but did not mediate the association between guilt and problem gambling severity. Experiencing shame contributes to problem gambling as a result of gambling to cope with negative affect. Cultivating more adaptive strategies to cope with shame may be effective in preventing and treating problem gambling.     

Identifying Environmental and Social Factors Predisposing to Pathological Gambling Combining Standard Logistic Regression and Logic Learning Machine

Identifying potential risk factors for problem gambling (PG) is of primary importance for planning preventive and therapeutic interventions. We illustrate a new approach based on the combination of standard logistic regression and an innovative method of supervised data mining (Logic Learning Machine or LLM). Data were taken from a pilot cross-sectional study to identify subjects with PG behaviour, assessed by two internationally validated scales (SOGS and Lie/Bet). Information was obtained from 251 gamblers recruited in six betting establishments. Data on socio-demographic characteristics, lifestyle and cognitive-related factors, and type, place and frequency of preferred gambling were obtained by a self-administered questionnaire. The following variables associated with PG were identified: instant gratification games, alcohol abuse, cognitive distortion, illegal behaviours and having started gambling with a relative or a friend. Furthermore, the combination of LLM and LR indicated the presence of two different types of PG, namely: (a) daily gamblers, more prone to illegal behaviour, with poor money management skills and who started gambling at an early age, and (b) non-daily gamblers, characterised by superstitious beliefs and a higher preference for immediate reward games. Finally, instant gratification games were strongly associated with the number of games usually played. Studies on gamblers habitually frequently betting shops are rare. The finding of different types of PG by habitual gamblers deserves further analysis in larger studies. Advanced data mining algorithms, like LLM, are powerful tools and potentially useful in identifying risk factors for PG.