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Several studies have found that certain traits of impulsivity are associated with gambling disorder, and influence its severity. Furthermore, it has been suggested that some forms of gambling, particularly electronic gambling machines, are particularly widespread among pathological gamblers. In the present, exploratory study, we aim to clarify the role played by impulsivity in influencing the choice of specific gambling activities, by examining the relation between individual dimensions of impulsivity, and the choice of specific gambling activities in a clinical population. 100 consecutively admitted pathological gamblers at the National Problem Gambling Clinic in London (UK) in 2014 were administered the UPPS-P and BIS-11 impulsivity questionnaires, the Problem Gambling Severity Index, and underwent a structured interview concerning their gambling activities in the month and year prior to assessment. The correlation between individual gambling activities and impulsivity dimensions was analyzed both at a bivariate level, and using logistic regression. We found a significant correlation between Negative Urgency, Motor impulsivity and low-stakes machine gambling on multivariate analysis. Negative urgency (i.e. the tendency to act impulsively in response to negative affect), and Motor impulsivity (a tendency to rash action and restlessness) might be mediating factors in the choice of electronic gambling machines, particularly among patients whose gambling is escape-oriented. Structural and situational characteristics of gambling machines, particularly the widespread availability of low-stakes-rather than high-stakes-gaming machines, might concur to the choice of this form of gambling among individuals who present higher negative urgency and restlessness.

Background and aim: Previous international research emphasized that some forms of gambling are more "addictive" than others. More recently, research has shown that we should shift our attention fromthe type of gambling activity to the level of involvement in a number of different gambling activities. The aim of our study was to verify whether a higher Problem Gambling Severity Index (PGSI) score was associated with particular gambling activities and evaluate the impact of involvement on gambling behavior. Methods: A total of 736 treatment-seeking individuals with gambling disorder were assessed at the National Problem Gambling Clinic in London. First, the independent two-sample t-test and the Mann-Whitney test were used to verify if the PGSI score changed significantly according to the gambling activity at a bivariate level. Second, we conducted a cluster analysis and finally, we fitted a linear regression model in order to verify if some variables are useful to predict gambling addiction severity. Results: The PGSI score was significantly higher for lower stakes gaming machine gamblers (1% significance level) and for fixed-odds betting terminal (FOBT) gamblers (5% significance level) at a bivariate level. Moreover, such finding was confirmed by cluster and linear regression analyses. Conclusions: The results of this study indicated that gambling addiction severity was related to gambling involvement and, for a given level of gambling involvement, gambling addiction severity may vary according to gambling type, with a particularly significant increase for FOBT and gaming machine gambling.

One of the main difficulties faced in treating gambling disorder is compliance with psychological treatment. Gambling takes many forms and can differ greatly in its features such as speed of play and skill requirements. The type of gambling a pathological gambler opts for may play a key role in treatment compliance. The aim of the present study was to determine whether within treatment seeking sample of gambling disorder clients, gambling activity has any correlation with their resultant treatment outcomes. The study incorporated 524 treatment-seeking individuals who are clients of the National Problem Gambling Clinic in London. All of the clients were assessed prior to treatment and fulfilled the Problem Gambling Severity Index criteria for problem gambling. Data concerning clients' gambling behavior over the previous year was gathered using self-reports. Subsequently, the data was fitted to a multinomial logistic regression model, with the treatment outcome (i.e. pre-treatment dropouts, during treatment dropouts, and completed treatment) as the dependent variable and gambling behavior as the independent variable, whilst controlling for socio-demographic factors. The use of gaming machines was a significant predictor of dropping out pre-treatment (p

The aim of this study was to identify predictors of treatment dropout in a sample of gamblers attending a specialist clinic for gambling disorder. We analysed data on 846 treatment-seeking pathological gamblers. Firstly, we investigated differences in socio-demographic and clinical variables between treatment completers and pre-treatment dropouts, as well as between treatment completers and during-treatment dropouts. Subsequently, variables were entered into a multinomial logistic regression model to identify significant predictors of pre-treatment and in-treatment dropout. Overall, 44.8% of clients did not complete the treatment: 27.4% dropped out before starting it, while 17.4% dropped out during the treatment. Younger age and use of drugs were associated with pre-treatment dropout, while family history of gambling disorder, a lower PGSI score, and being a smoker were related with in-treatment dropout. Our findings suggest that pre-treatment dropouts differ from in-treatment dropouts, and, thus, further research will benefit from considering these groups separately. In addition, this newly gained knowledge will also be helpful in increasing treatment retention in specific subgroups of problem gamblers.

Background Studies show higher lifetime prevalence of suicidality in individuals with pathological gambling. However, less is known about the relationship between pathological gambling and current suicidal ideation. Objectives We investigated socio-demographic, clinical and gambling-related variables associated with suicidality in treatment-seeking individuals. Methods Bivariate analyses and logistic regression models were generated on data from 903 individuals to identify measures associated with aspects of suicidality. Results Forty-six percent of patients reported current suicidal ideation. People with current suicidal thoughts were more likely to report greater problem-gambling severity (p < 0.001), depression (p < 0.001) and anxiety (p < 0.001) compared to those without suicidality. Logistic regression models suggested that past suicidal ideation (p < 0.001) and higher anxiety (p < 0.05) may be predictive factors of current suicidality. Conclusions Our findings suggest that the severity of anxiety disorder, along with a lifetime history of suicidal ideation, may help to identify treatment-seeking individuals with pathological gambling with a higher risk of suicidality, highlighting the importance of assessing suicidal ideation in clinical settings.