Personality disorders and pathological gambling

Vaddiparti, Krishna; Cottler, Linda B.

doi:10.1097/yco.0000000000000300

Cited by 19 publications

(7 citation statements)

References 18 publications

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“…From a clinical perspective, these findings could be understood taking into account that certain personality traits or domains could be associated with a greater or lesser degree of psychopathology or emotional distress, as shown in previous research (33–37). Specifically, according to the results, the personality trait most closely associated with psychopathology or emotional distress was harm avoidance.…”

Section: Discussionmentioning

confidence: 89%

Phenotypes in Gambling Disorder Using Sociodemographic and Clinical Clustering Analysis: An Unidentified New Subtype?

et al. 2019

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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.

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Section: Discussionmentioning

confidence: 89%

Phenotypes in Gambling Disorder Using Sociodemographic and Clinical Clustering Analysis: An Unidentified New Subtype?

et al. 2019

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“…In addition, these elements shed light on frequent comorbidities observed between GD and other psychiatric conditions. Indeed, alexithymic features as well as experiential avoidance have been related to some of these co-occurring disorders as depression ( Li, Zhang, Guo, & Zhang, 2015 ; Sloan et al., 2017 ), anxiety disorders ( De Berardis et al., 2008 ; Newman & Llera, 2011 ), and borderline personality disorder ( Lysaker et al., 2017 ; Sloan et al., 2017 ; Vaddiparti & Cottler, 2017 ). As such, ER deficits among the Identification stage of ER processing offer a potential explanation of the pathway by which these disorders lead to the development of GD.…”

Section: Resultsmentioning

confidence: 99%

Conceptualizing gambling disorder with the process model of emotion regulation

2018

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IntroductionNowadays, gambling disorder (GD) is a worldwide health issue and there is a growing need to both improve our understanding of this disorder and to tailor specific interventions for its treatment. Moreover, theoretical models and preliminary empirical results suggest that difficulty in regulating emotional states might be involved in GD. However, literature describing clinical and theoretical aspects of emotional dysregulation among pathological gamblers (PGs) shows a lack of systematic description.ObjectivesWe aimed to provide, within an exhaustive theoretical framework of emotion regulation (ER) processing, empirical evidence supporting a conceptual model of GD as an ER affliction.MethodsWe commented on empirical evidence on the relationship between ER and GD in the light of two main conceptual models of emotion (dys)regulation.ResultsThe results suggest there are actual deficits of ER processing among PGs, manifesting themselves through different ways and in different steps of the ER timeline. In addition, dysregulation of positive emotions may play a central role in GD. From a clinical point of view, we pointed out that deficits in ER might be multiple in nature and an assessment for GD should be accurate to identify the specific components accounting for the development and maintenance of the disorder. It should also orientate the clinician in selecting therapeutic objectives.ConclusionsThe nature of emotional states that are difficult to regulate might account for the GD severity and indicate the subtype of PGs the patient belongs to. Treatment programs should be tailored on the specificity of PGs.

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“…With respect to the NS overall dimension, including impulsiveness, our results showed higher scores in pure GDs, suggesting that these specific personality traits may represent a core trait in GD (Mann et al, 2017). Furthermore, the literature shows that impulsivity is predictive of high severity of GD and linked to borderline, antisocial, and narcissistic personality disorder (Rogier, Beomonte Zobel, & Velotti, 2020;Rogier & Velotti, 2018;Sacco et al, 2008;Vaddiparti & Cottler, 2017).…”

Section: Discussionmentioning

confidence: 50%

An Exploratory Study in Gambling Recovery Communities: A Comparison Between ‘‘Pure’’ and Substance-Abusing Gamblers

Quaglieri

Mari

Cordellieri

et al. 2021

JGI

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Most of the available literature has shown that gambling disorder (GD) is often associated with several psychiatric conditions. Comorbidities with mood disorders, impulsiveness, personality traits, and impairments in cognitive function have also been frequently investigated. However, it is currently uncommon to study this disorder in individuals without comorbid substance abuse; therefore, the primary aim of our study was to compare the psychological profile of individuals with GD with and without substance use disorder. A total of 60 participants (100% male), including 20 individuals with GD, 20 substance-dependent gamblers (SDGs), and 20 healthy controls (HCs), were assessed with several clinical measures to investigate impulsivity, hostility, mood, and personality traits, as well as with cognitive tasks (i.e., decision-making tasks). Our results showed differences in both experimental groups compared with the HC group in mood disorders, impulsivity, and hostility traits. The ‘‘pure’’ GD group differed from the SDG group only in characteristics related to mood disorders (e.g., State-Trait Anxiety Inventory-Y2, Beck Depression Inventory-II, and assault dimension), whereas greater impairment in decision making processes related to risky choices was shown in the SDG group. This study suggests the importance of studying pure GD to clarify the underlying mechanisms without the neurotoxic effects of the substances. This could provide an important contribution to the treatment and understanding of this complex disorder.

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Personality disorders and pathological gambling

Cited by 19 publications

References 18 publications

Phenotypes in Gambling Disorder Using Sociodemographic and Clinical Clustering Analysis: An Unidentified New Subtype?

Phenotypes in Gambling Disorder Using Sociodemographic and Clinical Clustering Analysis: An Unidentified New Subtype?

Conceptualizing gambling disorder with the process model of emotion regulation

An Exploratory Study in Gambling Recovery Communities: A Comparison Between ‘‘Pure’’ and Substance-Abusing Gamblers

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