Subtyping treatment-seeking gaming disorder patients.

BACKGROUND AND AIMS: Gaming Disorder (GD) is characterized by a pattern of persistent and uncontrolled gaming behavior that causes a marked impairment in important areas of functioning. The evolution of the worldwide incidence of this disorder warrants further studies focused on examining the existence of different subtypes within clinical samples, in order to tailor treatment. This study explored the existence of different profiles of patients seeking treatment for GD through a data-driven approach. METHODS: The sample included n = 107 patients receiving treatment for GD (92% men and 8% women) ranging between 14 and 60 years old (mean age = 24.1, SD = 10). A two-step clustering analysis approach explored the existence of different underlying GD profiles based on a broad set of indicators, including sociodemographic features, clinical course of the condition (e.g., onset or evolution), psychopathological symptoms, and personality traits. RESULTS: Two GD profiles emerged. The first cluster grouped together patients who presented with a lower psychological impact (n = 72, 66.1%), whereas the second cluster comprised patients with a higher psychological impact (n = 35, 32.7%). Cluster comparisons revealed that those patients presenting the higher impact were older, with a later onset of pathological gaming patterns, and more pronounced psychopathological symptoms and dysfunctional personality profiles. CONCLUSIONS: GD severity is influenced by specific demographic, clinical, and psychopathological factors. The identification of two separate profiles provides empirical evidence that contributes to the conceptualization of this disorder, as well as to the development of reliable and valid screening tools and effective intervention plans focused on the precise characteristics of the treatment-seeking patients.

Psychopathogical status and personality correlates of problem gambling severity in sports bettors undergoing treatment for gambling disorder.

BACKGROUND AND AIMS: Sports betting has been barely explored independently from other gambling behaviors. Little evidence is available regarding the factors affecting its severity in a clinical sample. The current study explores new determinants for sports betting severity in Spain by the inclusion of psychopathological distress and personality factors. METHODS: A sample of 352 Spanish sports bettors undergoing treatment for gambling disorder was recruited. Multiple regression models were used to evaluate the effects of sociodemographic variables, the age of onset of gambling behavior, the global psychopathological distress (SCL-90R GSI) and the personality profile (TCI-R) on sports betting severity and their influence over frequency (bets per episode) and debts due to gambling. RESULTS: We found that older age, higher psychopathological distress, lower self-directedness level, and higher novelty seeking level were predictors of gambling severity in Spanish sports bettors. The highest betting frequency was found in men, with the lowest education levels but the highest social status, the highest psychopathological distress, reward dependence score, and self-transcendence trait and the lowest persistence score. Debts were also associated to higher score in cooperativeness as well as older age. DISCUSSION AND CONCLUSIONS: Our findings call for further exploration of factors affecting sports betting severity regarded as a separate gambling entity subtype, as some of the traditional factors typically found in gamblers do not apply to sports bettors or apply inversely in our country. Consequently, sports bettors might deserve specific clinical approaches to tackle the singularities of their gambling behavior.

Youth and gambling disorder: What about criminal behavior?

BACKGROUND AND AIMS: The commission of illegal acts has been associated with gambling disorder (GD). However, little is known about young adults with GD who commit GD-related crimes. Therefore, the main aim of this study was to compare sociodemographic, clinical, personality and psychopathological features among young adults with GD with and without a history of illegal behaviors. Our second aim was to analyze the specific associations between these factors through a path analysis. METHODS: A total of 808 treatment-seeking young adults who met criteria for GD were assessed at a public hospital unit specialized in behavioral addictions. Participants completed self-reported questionnaires to explore GD, personality traits, and psychopathological symptomatology. RESULTS: Of the total sample, 291 patients (36.0%) had committed GD-related offences. Illegal acts were related to younger age and unemployment status. Greater levels of psychopathology, as well as earlier GD onset, longer GD duration and greater GD severity were also associated with the presence of criminal behaviors. Differences in personality traits were also found between these two groups. DISCUSSION AND CONCLUSIONS: The GD group with a history of illegal acts showed dysfunctional personality traits and higher levels of psychopathology. Therefore, specific GD treatments and harm reduction interventions should be designed for these patients.