Typologies of young pathological gamblers based on sociodemographic and clinical characteristics

Objective: the aim of this study is to explore empirical clusters within the population of young Spanish individuals attending outpatient pathological gambling treatment. Method: the South Oaks Gambling Screen (SOGS), the Symptom Checklist (SCL-90-R), the Temperament and Character Inventory-R (TCI-R) and other clinical and psychopathological measures were administered to 154 patients (between 17 and 25 years old). The two-step cluster analysis explored the presence of empirical heterogeneous groups based on clinical and socio-demographic characteristics. Results: three clusters of young pathological gambling patients emerged. Type I showed less psychopathology and more functional personality traits. Type II showed a profile characterized by major emotional distress, shame, immaturity, hostility and negative feelings. Type III showed the most severe psychopathological profile and most psychopathological disturbances and schizotypal traits. Conclusions: these results suggest that three distinct endophenotypes exist, and that environmental factors have a stronger influence in the first, while in the second and third, individual factors related to deficits of emotional regulation stand out

Comparative analysis of distinct phenotypes in gambling disorder based on gambling preferences

Background: studies examining gambling preferences have identified the importance of the type of gambling practiced on distinct individual profiles. The objectives were to compare clinical, psychopathological and personality variables between two different groups of individuals with a gambling disorder (strategic and non-strategic gamblers) and to evaluate the statistical prediction capacity of these preferences with respect to the severity of the disorder. Method: a total sample of 2010 treatment-seeking patients with a gambling disorder participated in this stand-alone study. All were recruited from a single Pathological Gambling Unit in Spain (1709 strategic and 301 non-strategic gamblers). The design of the study was cross-sectional and data were collected at the start of treatment. Data was analysed using logistic regression for binary outcomes and analysis of variance (ANOVA) for quantitative responses. Results: there were significant differences in several socio-demographic and clinical variables, as well as in personality traits (novelty seeking and cooperativeness). Multiple regression analysis showed harm avoidance and self-directedness were the main predictors of gambling severity and psychopathology, while age at assessment and age of onset of gambling behaviour were predictive of gambling severity. Strategic gambling (as opposed to non-strategic) was significantly associated with clinical outcomes, but the effect size of the relationships was small. Conclusions: it is possible to identify distinct phenotypes depending on the preference of gambling. While these phenotypes differ in relation to the severity of the gambling disorder, psychopathology and personality traits, they can be useful from a clinical and therapeutic perspective in enabling risk factors to be identified and prevention programs targeting specific individual profiles to be developed

Phenotypes in gambling disorder using sociodemographic and clinical clustering analysis: an unidentified new subtype?

Background: gambling disorder (GD) is a heterogeneous disorder which has clinical manifestations that vary according to variables in each individual. Considering the importance of the application of specific therapeutic interventions, it is essential to obtain clinical classifications based on differentiated phenotypes for patients diagnosed with GD. Objectives: to identify gambling profiles in a large clinical sample of n = 2,570 patients seeking treatment for GD. Methods: an agglomerative hierarchical clustering method defining a combination of the Schwarz Bayesian Information Criterion and log-likelihood was used, considering a large set of variables including sociodemographic, gambling, psychopathological, and personality measures as indicators. Results: three-mutually-exclusive groups were obtained. Cluster 1 (n = 908 participants, 35.5%), labeled as "high emotional distress," included the oldest patients with the longest illness duration, the highest GD severity, and the most severe levels of psychopathology. Cluster 2 (n = 1,555, 60.5%), labeled as "mild emotional distress," included patients with the lowest levels of GD severity and the lowest levels of psychopathology. Cluster 3 (n = 107, 4.2%), labeled as "moderate emotional distress," included the youngest patients with the shortest illness duration, the highest level of education and moderate levels of psychopathology. Conclusion: in this study, the general psychopathological state obtained the highest importance for clustering

Comparative analysis of distinct phenotypes in gambling disorder based on gambling preferences

Background: Studies examining gambling preferences have identified the importance of the type of gambling practiced on distinct individual profiles. The objectives were to compare clinical, psychopathological and personality variables between two different groups of individuals with a gambling disorder (strategic and non-strategic gamblers) and to evaluate the statistical prediction capacity of these preferences with respect to the severity of the disorder. Method: A total sample of 2010 treatment-seeking patients with a gambling disorder participated in this stand-alone study. All were recruited from a single Pathological Gambling Unit in Spain (1709 strategic and 301 non-strategic gamblers). The design of the study was cross-sectional and data were collected at the start of treatment. Data was analysed using logistic regression for binary outcomes and analysis of variance (ANOVA) for quantitative responses. Results: There were significant differences in several socio-demographic and clinical variables, as well as in personality traits (novelty seeking and cooperativeness). Multiple regression analysis showed harm avoidance and self-directedness were the main predictors of gambling severity and psychopathology, while age at assessment and age of onset of gambling behaviour were predictive of gambling severity. Strategic gambling (as opposed to non-strategic) was significantly associated with clinical outcomes, but the effect size of the relationships was small. Conclusions: It is possible to identify distinct phenotypes depending on the preference of gambling. While these phenotypes differ in relation to the severity of the gambling disorder, psychopathology and personality traits, they can be useful from a clinical and therapeutic perspective in enabling risk factors to be identified and prevention programs targeting specific individual profiles to be developed

Comparative analysis of distinct phenotypes in gambling disorder based on gambling preferences

Studies examining gambling preferences have identified the importance of the type of gambling practiced on distinct individual profiles. The objectives were to compare clinical, psychopathological and personality variables between two different groups of individuals with a gambling disorder (strategic and non-strategic gamblers) and to evaluate the statistical prediction capacity of these preferences with respect to the severity of the disorder. A total sample of 2010 treatment-seeking patients with a gambling disorder participated in this stand-alone study. All were recruited from a single Pathological Gambling Unit in Spain (1709 strategic and 301 non-strategic gamblers). The design of the study was cross-sectional and data were collected at the start of treatment. Data was analysed using logistic regression for binary outcomes and analysis of variance (ANOVA) for quantitative responses. There were significant differences in several socio-demographic and clinical variables, as well as in personality traits (novelty seeking and cooperativeness). Multiple regression analysis showed harm avoidance and self-directedness were the main predictors of gambling severity and psychopathology, while age at assessment and age of onset of gambling behaviour were predictive of gambling severity. Strategic gambling (as opposed to non-strategic) was significantly associated with clinical outcomes, but the effect size of the relationships was small. It is possible to identify distinct phenotypes depending on the preference of gambling. While these phenotypes differ in relation to the severity of the gambling disorder, psychopathology and personality traits, they can be useful from a clinical and therapeutic perspective in enabling risk factors to be identified and prevention programs targeting specific individual profiles to be developed

A comparison of DSM-IV-TR and DSM-5 diagnostic criteria for gambling disorder in a large clinical sample

Background and Aims: gambling-related crimes are known to be associated with gambling disorder (GD). Due to a lack of consensus in the scientific community regarding the relevance of this diagnostic criterion, it was removed from the DSM-5. The primary aim of this study was to investigate through structural equation modeling (SEM) whether higher GD severity in treatment-seeking GD patients with a criminal record is mediated through the illegal acts criterion itself, or whether it can be better explained by other related clinical factors. Methods: an initial sample of 2,081 patients seeking treatment for gambling problems was included in the sample. SEM was used to evaluate the mediational role of the illegal acts criterion between the sex, age and personality traits, gambling severity, and comorbid depression levels. Comparisons between patients with coinciding and divergent DSM criterion for GD diagnosis were carried out. Results: illegal acts mediated the relationship between personality traits and GD severity: younger age, high levels of novelty seeking, and low levels of self-transcendence increased the risk of endorsing the illegal acts criterion. No differences between coincident-divergent groups in terms of DSM-IV and DSM-5 diagnosis were found with regards to sex (p = 0.878), education level (p = 0.387), or civil status (p = 0.792). Discussion and Conclusion: the results obtained in the present study offer new insights into the utility of using a history of illegal acts, their different personality characteristics, and psychopathology to categorize GD patients. Our findings suggest that patients who engage in criminal behavior may require a more comprehensive intervention

A Comparison of DSM-IV-TR and DSM-5 Diagnostic Criteria for Gambling Disorder in a Large Clinical Sample

Background and Aims: Gambling-related crimes are known to be associated with gambling disorder (GD). Due to a lack of consensus in the scientific community regarding the relevance of this diagnostic criterion, it was removed from the DSM-5. The primary aim of this study was to investigate through structural equation modeling (SEM) whether higher GD severity in treatment-seeking GD patients with a criminal record is mediated through the illegal acts criterion itself, or whether it can be better explained by other related clinical factors.Methods: An initial sample of 2,081 patients seeking treatment for gambling problems was included in the sample. SEM was used to evaluate the mediational role of the illegal acts criterion between the sex, age and personality traits, gambling severity, and comorbid depression levels. Comparisons between patients with coinciding and divergent DSM criterion for GD diagnosis were carried out.Results: Illegal acts mediated the relationship between personality traits and GD severity: younger age, high levels of novelty seeking, and low levels of self-transcendence increased the risk of endorsing the illegal acts criterion. No differences between coincident-divergent groups in terms of DSM-IV and DSM-5 diagnosis were found with regards to sex (p = 0.878), education level (p = 0.387), or civil status (p = 0.792).Discussion and Conclusion: The results obtained in the present study offer new insights into the utility of using a history of illegal acts, their different personality characteristics, and psychopathology to categorize GD patients. Our findings suggest that patients who engage in criminal behavior may require a more comprehensive intervention

Evaluating VLT responsible gaming features and interventions in Alberta: Phase I - final report

The purpose of this research project is to conduct an evaluation of the effectiveness of interventions aimed at helping adult Albertans who are experiencing gambling problems related to their play on video lottery terminals (VLTs) that are located in bars and lounges throughout the province. The Alberta Liquor and Gaming Commission (AGLC) has implemented these interventions, which include (a) features installed on the VLTs themselves (e.g., money counter, time clock, pop-up time reminders, 1-800 helpline number); (b) signage aids in bars and lounges (e.g., problem gambling posters and pamphlets); and, (c) employee problem gambling awareness training to enable staff to assist problem gamblers.OtherNoAlberta Gaming and Liquor Commissio

Adolescent survey of gambling behavior in Minnesota : a benchmark

A gambling survey was conducted on 1,094 Minnesota youth age 15 to 18 years of age during May, 1990, a few months prior to the full start of the Minnesota lottery. About one-third of the sample was recruited from three senior high schools; the other two-thirds was interviewed by a state-wide telephone survey.YesDepartment of Human Services, Mental Health Division, State of Minnesot