Do attention-deficit/hyperactivity symptoms influence treatment outcome in gambling disorder?

BACKGROUND AND AIMS: Numerous studies point to the comorbidity between gambling disorder (GD) and attention deficit hyperactivity disorder (ADHD). However, there is a lack of research exploring how ADHD symptoms might influence psychological treatment outcomes for GD. Therefore, we aimed to explore differences between patients with GD with and without self-reported ADHD symptoms regarding psychopathology, personality, sociodemographic and treatment outcome measures. METHOD: This longitudinal study included 170 patients with GD receiving cognitive behavioral therapy. Multiple self-reported instruments were used to assess clinical variables and sociodemographic measures prior to treatment. RESULTS: A clinical profile characterized by greater GD severity, higher psychopathology and impulsivity, and less adaptive personality features was observed in patients with self-reported ADHD symptoms compared to those without. No significant differences in treatment response (measured by dropout and relapse rates) were observed between the two groups. However, patients with self-reported ADHD symptoms experienced more severe relapses (i.e., gambled more money) and GD patients who relapsed scored higher on measures of ADHD, particularly inattention. CONCLUSION: Individuals with GD and self-reported symptoms of ADHD may experience more severe relapses following treatment, suggesting a need for more vigilant follow-up and interventions for patients with this comorbidity.

Cluster analysis in gambling disorder based on sociodemographic, neuropsychological, and neuroendocrine features regulating energy homeostasis.

BACKGROUND: The heterogeneity of gambling disorder (GD) has led to the identification of different subtypes, mostly including phenotypic features, with distinctive implications on the GD severity and treatment outcome. However, clustering analyses based on potential endophenotypic features, such as neuropsychological and neuroendocrine factors, are scarce so far. AIMS: This study firstly aimed to identify empirical clusters in individuals with GD based on sociodemographic (i.e., age and sex), neuropsychological (i.e., cognitive flexibility, inhibitory control, decision making, working memory, attention, and set-shifting), and neuroendocrine factors regulating energy homeostasis (i.e., leptin, ghrelin, adiponectin, and liver-expressed antimicrobial peptide 2, LEAP-2). The second objective was to compare the profiles between clusters, considering the variables used for the clustering procedure and other different sociodemographic, clinical, and psychological features. METHODS: 297 seeking-treatment adult outpatients with GD (93.6% males, mean age of 39.58 years old) were evaluated through a semi-structured clinical interview, self-reported psychometric assessments, and a protocolized neuropsychological battery. Plasma concentrations of neuroendocrine factors were assessed in peripheral blood after an overnight fast. Agglomerative hierarchical clustering was applied using sociodemographic, neuropsychological, and neuroendocrine variables as indicators for the grouping procedure. Comparisons between the empirical groups were performed using Chi-square tests (χ2) for categorical variables, and analysis of variance (ANOVA) for quantitative measures. RESULTS: Three-mutually-exclusive groups were obtained, being neuropsychological features those with the greatest weight in differentiating groups. The largest cluster (Cluster 1, 65.3%) was composed by younger males with strategic and online gambling preferences, scoring higher on self-reported impulsivity traits, but with a lower cognitive impairment. Cluster 2 (18.2%) and 3 (16.5%) were characterized by a significantly higher proportion of females and older patients with non-strategic gambling preferences and a worse neuropsychological performance. Particularly, Cluster 3 had the poorest neuropsychological performance, especially in cognitive flexibility, while Cluster 2 reported the poorest inhibitory control. This latter cluster was also distinguished by a poorer self-reported emotion regulation, the highest prevalence of food addiction, as well as a metabolic profile characterized by the highest mean concentrations of leptin, adiponectin, and LEAP-2. CONCLUSIONS: To the best of our knowledge, this is the first study to identify well-differentiated GD clusters using neuropsychological and neuroendocrine features. Our findings reinforce the heterogeneous nature of the disorder and emphasize a role of potential endophenotypic features in GD subtyping. This more comprehensive characterization of GD profiles could contribute to optimize therapeutic interventions based on a medicine of precision.

Profile of Treatment-Seeking Gaming Disorder Patients: A Network Perspective.

The increasing presence of gaming disorder in recent years has led to major efforts to identify the specific predictors that have a high impact on the profile of people seeking treatment for this mental condition. The purpose of this study was to explore the network structure of the correlates of gaming disorder considering sociodemographic features and other clinical symptoms. Network analysis was applied to a sample of patients who met clinical criteria for gaming disorder (n = 117, of ages ranging from 15 to 70 yrs-old). Variables considered in the network included sex, age, socioeconomic position, global emotional distress, age of onset and duration of the gaming disorder, personality traits and the presence of other addictive behaviors (tobacco, alcohol and behavioral addictions). The central nodes in the network were global psychological distress, chronological age, and age of onset of gaming related problems. Linkage analysis also identified psychopathological status and age as the variables with the most valuable information in the model. The poorest relevance in the analysis was for the duration of gaming problems and socioeconomic levels. Modularity analysis grouped the nodes within four clusters. Identification of the variables with the highest centrality/linkage can be particularly useful for developing precise management plans to prevent and treat gaming disorder related problems.

Identifying Associated Factors for Illegal Acts among Patients with Gambling Disorder and ADHD.

Illegal behaviors have been reported in gambling disorder (GD) as well as in individuals with attention deficit hyperactivity disorder (ADHD). Likewise, ADHD symptomatology has been observed in patients with GD. We aimed to examine the association between ADHD symptomatology, personality traits and impulsivity in a sample of treatment-seeking patients with GD (n = 204) with and without a criminal report. The subjects were evaluated before starting treatment using different self-administered instruments. Among those who had committed an illegal act, two groups were made depending on whether or not the criminal conduct had legal repercussions (n = 64 without legal consequences; n = 32 with legal consequences). Structural equation modeling (SEM) was used to explore the interrelationships between personality traits, ADHD, impulsivity levels, gambling-related criminal behavior and other gambling-related factors. Greater ADHD symptomatology was found in patients with reported illegal behaviors, as well as higher impulsivity levels. Those individuals who presented legal consequences due to the criminal behavior showed higher impulsivity levels and harm avoidance and lower persistence and cooperativeness. Our findings uphold that patients with GD and ADHD symptomatology have greater impulsivity and are more vulnerable to committing an illegal act. Therefore, specific harm-prevention interventions and treatment approaches are needed for this population.

Clinical Features of Gambling Disorder Patients with and Without Food Addiction: Gender-Related Considerations.

Although food addiction (FA) is a debated condition and it is not currently recognized as a formal diagnosis, it shares features with other addictions, such as gambling disorder (GD). However, the prevalence of FA in GD and the clinical correlates are incompletely understood, especially within women versus men. To investigate FA in patients presenting with GD. The sample included 867 patients diagnosed with GD (798 males and 69 females) attending a specialized behavioral addictions unit. FA was observed in 8.3% of GD patients (18.8% of women, 7.4% of men). More psychopathology and harm avoidance, greater body mass indices and less self-directedness and cooperativeness were associated with FA. In women, FA was associated with a longer GD duration. In men, FA was associated with earlier GD onset, greater GD and problematic alcohol use severities. Among patients with GD, FA was associated with more psychopathology and gambling patterns suggestive of more protracted or severe GD. Screening for and addressing FA condition in patients with GD may help optimize preventive and therapeutic approaches. Future studies should consider testing guidelines to improve healthy eating habits, increase physical exercise and better manage stress and other negative emotions in order to target FA in GD.

Clustering Treatment Outcomes in Women with Gambling Disorder.

The rising prevalence of gambling disorder (GD) among women has awakened considerable interest in the study of therapeutic outcomes in females. This study aimed to explore profiles of women seeking treatment for GD based on a set of indicators including sociodemographic features, personality traits, clinical state at baseline, and cognitive behavioral therapy (CBT) outcomes. Two-step clustering, an agglomerative hierarchical classification system, was applied to a sample of n = 163 women of ages ranging from 20 to 73 years-old, consecutively attended to by a clinical unit specialized in the treatment of G. Three mutually exclusive clusters were identified. Cluster C1 (n = 67, 41.1%) included the highest proportion of married, occupationally active patients within the highest social status index. This cluster was characterized by medium GD severity levels, the best psychopathological functioning, and the highest mean in the self-directedness trait. C1 registered 0% dropouts and only 14.9% relapse. Cluster C2 (n = 63; 38.7%) was characterized by the lowest GD severity, medium scores for psychopathological measures and a high risk of dropout during CBT. Cluster C3 (n = 33; 20.2%) registered the highest GD severity, the worst psychopathological state, the lowest self-directedness level and the highest harm-avoidance level, as well as the highest risk of relapse. These results provide new evidence regarding the heterogeneity of women diagnosed with GD and treated with CBT, based on the profile at pre- and post-treatment. Person-centered treatments should include specific strategies aimed at increasing self-esteem, emotional regulation capacities and self-control of GD women.

Explicit and Implicit Emotional Expression in Gambling Disorder Measured by a Serious Game: A Pilot Study.

Behavioral addictions have been related with biased emotional reactions to risky choices. However, few studies have analyzed the role of both explicit and implicit emotional expression in gambling disorder (GD). This pilot study aims to examine emotion regulation in treatment-seeking patients with GD. The sample included n = 35 participants classified into three groups: patients with current GD, patients with GD in remission, and a control group without GD. Implicit emotional expressions were evaluated through a serious videogame (Playmancer) and explicit emotions were measured through self-reports. Patients in the current GD group had, compared to the remission and control groups, lower levels of implicit emotion expression and higher levels of explicit emotion expression. The patients in GD remission group endorsed better emotion regulation capacity in comparison to patients with current GD. We conclude that differences in emotion expression profiles (such as anger and anxiety) should be considered both in the development of screening and diagnostic measures and in the planning of prevention and treatment programs.

The Severity of Gambling and Gambling Related Cognitions as Predictors of Emotional Regulation and Coping Strategies in Adolescents.

People with gambling disorder (GD) exhibit distorted cognitions and superstitious beliefs more often than the general population. Similarly, difficulties in coping and emotion dysregulation are more prevalent among those with GD, and could determine the onset of GD in particularly vulnerable groups such as adolescents. This study examines the relationship between gambling severity and gambling-related cognitions with coping strategies and emotion regulation. Also, it explores how accurately gambling severity and gambling-related cognitions were able to predict emotion regulation and coping strategies. Two groups were recruited and analyzed: a community sample comprising 250 adolescents and young adults from secondary education schools, and a clinical sample of 31 patients with similar age characteristics seeking treatment for GD. The participants from the clinical sample scored higher on gambling severity, emotion dysregulation, cognitive biases, and maladaptive coping strategies. In the community sample, cognitive biases mediated the relationship between sex and emotion dysregulation and disengagement. People with GD use more often than controls maladaptive emotion regulation strategies to manage negative emotional states. This perspective emphasizes the need to focus on coping with emotions, as opposed to coping with problems, as the best approach to tackle gambling problems.

Exploring the Predictive Value of Gambling Motives, Cognitive Distortions, and Materialism on Problem Gambling Severity in Adolescents and Young Adults.

Gambling motives and cognitive distortions are thought to be associated because both coping and financial motives to gamble appear to be predictors of gambling related cognitive distortions. Therefore, there is an argument to be made that gambling motives, cognitive distortions, and materialism share common attributes and might be related to problem gambling severity. The present paper aims to examine the relationship between these three variables, both in a clinical and community setting, to see if they can predict gambling severity. A sample of 250 participants from the general population and 31 participants from the clinical population was recruited. The results showed that the clinical sample scored higher on gambling severity, cognitive distortions, materialism, and gambling motives. It also showed that low scores in enhancement motives and higher scores in social motives and gambling related cognitions predicted gambling severity in older gamblers, whereas for younger patients, gambling severity was best predicted by higher scores in materialism and coping motives, and lower scores for enhancement and social motives. In the community sample, gambling severity correlated with gambling related cognitive distortions and with gambling motives (except for social and coping motives within the women subsample). These results testify to the importance of materialism, cognitive distortions, and gambling motives as risk factors for problem gambling both in community and clinical samples.

Clustering Gambling Disorder Patients with Lotteries as a Preferred Form of Gambling.

Few studies have focused on the specific subtype of gamblers who present lotteries as their main gambling problem. This study aimed to explore empirical subgroups of treatment-seeking patients who endorsed lotteries as their preferred form of gambling. The sample included n = 342 patients who were included in two-step cluster analysis procedures using sociodemographic and clinical measures as indicator variables. Three clusters were identified: (a) Cluster 1 (labeled as "severely impaired young men", n = 108, 31.6%) included mainly single young men that were employed, with short disorder duration, high gambling severity and high levels of comorbid psychopathology; (b) Cluster 2 (labeled as "moderate severity and highly functional", n = 120, 35.1%) included patients that were middle-aged, highly educated, married, employed, with high socioeconomic position indexes and functional personality traits; and (c) Cluster 3 (labeled as "older, moderately impaired patients", n = 114, 33.3%) included older patients, the highest percentage of separated or divorced subjects, high unemployment, low socioeconomic status and low levels of education. This study indicates that gambling disorder profiles characterized by lotteries as a preferred form of gambling constitute a heterogeneous group in which distinct, empirically based phenotypes can be identified. These factors should be taken into account for the development of reliable assessment instruments and for the design of effective prevention and treatment programs.

Gambling Phenotypes in Older Adults.

Participation in gambling is rising in older adults. Indeed, in the coming years, engagement in gambling as a social activity is expected to increase more sharply in the elderly than in any other age group. Due to their exposure to powerful age-specific risk factors such as isolation, inactivity and failing health, older people are highly vulnerable to gambling-related problems. This study aimed to explore the existence of empirical clusters related to gambling habits in a sample of elderly participants from the general population. The sample included n = 361 participants, age range 50-90 years (mean 73.8, SD 8.4). Empirical clusters were identified through a two-step clustering analysis based on a broad set of indicators, including sociodemographic features, psychopathological state, substance use, life events, gambling preferences and scores on screening measures of gambling severity. The prevalence of GD in the study was 1.4%. Two clusters were identified: (a) cluster 1 (labeled as "low risk of gambling problems", n = 265, 73.4%), which included the higher proportion of non-gamblers or individuals who engage only in non-strategic gambling, women, widowed, and lower levels of education (no individual into this group met criteria for GD); and (b) cluster 2 (labeled as "higher risk of gambling problems", n = 96, 26.6%), which included the higher proportion of men, who reported both non-strategic and strategic gambling preferences (all participants diagnosed of GD were grouped into this cluster), older age, longer history of gambling, higher gambling severity, higher use of substances and worse psychopathological state. The elderly constitute a heterogeneous group with regard to gambling phenotypes. The results of this study may prove particularly useful for developing reliable screening tools able to identify older patients at a high risk of gambling problems, and for designing effective prevention and intervention programs.

Buying-shopping disorder, emotion dysregulation, coping and materialism: a comparative approach with gambling patients and young people and adolescents.

OBJECTIVE: The comorbidity between gambling disorder (GD) and buying-shopping disorder (BSD) has led to explore the core features that could be interacting between them. The main aim of this study was to examine the differences in both conditions considering emotion dysregulation, coping and materialism, as well as the relationship between these variables and their interaction with age and sex. METHODS: A community sample (n = 281 adolescents) and a sample of individuals with GD (n = 31) was compared. Both samples were split into a group with BSD and a group without it. RESULTS: The prevalence of participants who met the criteria for BSD was higher in the GD sample than in the community sample; the GD sample also presented higher values in the psychological variables studied. In the community sample group, positive associations were found between BSD severity and materialism and emotion dysregulation levels. In the GD sample, BSD severity was higher for participants who reported higher levels in materialism and lower scores in coping strategies. Variables impacted BSD severity differently according to sex and age covariates. CONCLUSIONS: The results of the interaction of the variables could be useful to design prevention and treatment approaches addressed to specific groups of age and sex. KEY POINTS Buying-shopping disorder (BSD) has been compared in clinical and community samples. The clinical sample was constituted by Gambling disorder (GD) patients. The variables emotion dysregulation, coping and materialism have been considered. Variables impacted BSD severity differently according to sex and age covariates.

Underlying Mechanism of the Comorbid Presence of Buying Disorder with Gambling Disorder: A Pathways Analysis.

Buying disorder (BD) and gambling disorder (GD) are behavioral addictions that are increasingly being researched and treated by mental health professionals. This study analyzes the underlying mechanisms of the comorbidity between both conditions in a sample of treatment-seeking patients. The sample included n = 127 patients recruited from a specialized unit in addictive behaviors at a public university hospital who presented BD symptoms with and without GD. Structural equation models analyzed the mediational mechanisms that explained the presence of the comorbid condition BD + GD. Personality variables indirectly influence the concurrence of GD and BD, and the relationship patterns were modulated by the age of onset of these two conditions. A direct relationship between being male and an increase in the risk of GD + BD comorbidity was also found. Sex and the amount of disorder-related debts also were directly associated with psychopathology. These results provide evidence on the pathways of concurrent BD + GD, which could contribute to the development of evidence-based preventive and therapeutic interventions.

Cognitive Deficits in Executive Functions and Decision-Making Impairments Cluster Gambling Disorder Sub-types.

To identify Gambling Disorder (GD) subtypes, in a population of men seeking treatment for GD, according to specific executive function domains (i.e., cognitive flexibility, inhibition and working memory as well as decision making) which are usually impaired in addictive behaviors. A total of 145 males ranging from 18 to 65 years diagnosed with GD were included in this study. All participants completed: (a) a set of questionnaires to assess psychopathological symptoms, personality and impulsivity traits, and (b) a battery of neuropsychological measures to test different executive functioning domains. Two clusters were identified based on the individual performance on the neuropsychological assessment. Cluster 1 [n = 106; labeled as Low Impaired Executive Function (LIEF)] was composed by patients with poor results in the neuropsychological assessment; cluster 2 patients [n = 46; labeled as High Impaired Executive Function (HIEF)] presented significantly higher deficits on the assessed domains and performed worse than the ones of LIEF cluster. Regarding the characterization of these two clusters, patients in cluster 2 were significantly older, unemployed and registered higher mean age of GD onset than patients in cluster 1. Additionally, patients in cluster 2 also obtained higher psychopathological symptoms, impulsivity (in both positive and negative urgency as well as sensation seeking) and some specific personality traits (higher harm avoidance as well as lower self-directedness and cooperativeness) than patients in cluster 1. The results of this study describe two different GD subtypes based on different cognitive domains (i.e., executive function performance). These two GD subtypes display different impulsivity and personality traits as well as clinical symptoms. The results provide new insight into the etiology and characterization of GD and have the potential to help improving current treatments.

Is gambling disorder associated with impulsivity traits measured by the UPPS-P and is this association moderated by sex and age?

OBJECTIVES: Impulsivity is a construct that is strongly associated with Gambling Disorder (GD). The main objectives in the present study are: 1) to explore the role of sex and age on impulsivity levels in GD patients; 2) to identify the relationship of the different impulsivity facets with comorbid psychopathology and other personality traits in GD patients; and (3) to assess whether impulsivity is a predictor for the severity of GD. METHOD: The final sample consisted of 406 consecutive participants. All of them were seeking treatment for GD (88.4% male and 11.6% female) and completed the South Oaks Gambling Screen (SOGS), the UPPS-P Impulsive Behavior Scale, the Symptom Checklist (SCL-90-R), the Temperament and Character Inventory-R (TCI-R) as well as other clinical and psychopathological measures. RESULTS: Results show a negative linear trend between age and lower sensation seeking levels as well as lack of premeditation (the higher the age the lower the UPPS-P scores), and a positive linear trend between age and positive urgency (UR) (the higher the age the higher the UPPS-P score). However, no sex differences were found for the assessed impulsivity dimensions. Lack of perseverance was positively associated with obsessive-compulsive symptoms and harm avoidance trait, and negatively related to persistence and self-directedness traits. Positive UR and negative UR were positively correlated with general psychopathology and the total number of DSM-IV criteria, and negatively associated to the following personality traits: self-directedness and cooperativeness. Finally, only the sensation seeking and negative UR of the UPPS-P showed predictive capacity on the severity of the disorder (the higher the impulsivity scores the higher the illness severity). CONCLUSIONS: These findings highlight the association between impulsivity traits (measured by the UPPS-P) and GD in a large and consecutively recruited clinical sample with GD, taking into account the variables sex and age.

Exploring the Relationship between Reward and Punishment Sensitivity and Gambling Disorder in a Clinical Sample: A Path Modeling Analysis.

Most individuals will gamble during their lifetime, yet only a select few will develop gambling disorder. Gray's Reinforcement Sensitivity Theory holds promise for providing insight into gambling disorder etiology and symptomatology as it ascertains that neurobiological differences in reward and punishment sensitivity play a crucial role in determining an individual's affect and motives. The aim of the study was to assess a mediational pathway, which included patients' sex, personality traits, reward and punishment sensitivity, and gambling-severity variables. The Sensitivity to Punishment and Sensitivity to Reward Questionnaire, the South Oaks Gambling Screen, the Symptom Checklist-Revised, and the Temperament and Character Inventory-Revised were administered to a sample of gambling disorder outpatients (N = 831), diagnosed according to DSM-5 criteria, attending a specialized outpatient unit. Sociodemographic variables were also recorded. A structural equation model found that both reward and punishment sensitivity were positively and directly associated with increased gambling severity, sociodemographic variables, and certain personality traits while also revealing a complex mediational role for these dimensions. To this end, our findings suggest that the Sensitivity to Punishment and Sensitivity to Reward Questionnaire could be a useful tool for gaining a better understanding of different gambling disorder phenotypes and developing tailored interventions.

The Involvement of a Concerned Significant Other in Gambling Disorder Treatment Outcome.

Interpersonal distress is a common feature in gambling disorder and adding a concerned significant other (CSO) to the recovery process could be an effective tool for improving treatment outcome. However, little empirical evidence is available regarding the effectiveness of including a CSO to interventions. We aimed to compare treatment outcomes (i.e. compliance with therapy guidelines, dropout from treatment, and relapse during treatment) in a CBT program involving a CSO to CBT treatment as usual (TAU) without a CSO. The sample comprised male gambling disorder patients (N = 675). The manualized CBT intervention consisted of 16 weekly outpatient group sessions and a 3-month follow-up period. Patient CSOs attended a predetermined number of sessions with the patient and were provided with resources to acquire a better understanding of the disorder, to manage risk situations, and to aid patients in adhering to treatment guidelines. Patients with a CSO had significant higher treatment attendance and reduced dropout compared to patients receiving TAU. Moreover, patients whose spouse was involved in the treatment program were less likely to relapse and adhered to the treatment guidelines more than those with a non-spousal CSO. Our results suggest that incorporating interpersonal support to gambling disorder interventions could potentially improve treatment outcomes.

Compulsive buying disorder clustering based on sex, age, onset and personality traits.

UNLABELLED: In spite of the revived interest in compulsive buying disorder (CBD), its classification into the contemporary nosologic systems continues to be debated, and scarce studies have addressed heterogeneity in the clinical phenotype through methodologies based on a person-centered approach. OBJECTIVES: To identify empirical clusters of CBD employing personality traits, as well as patients' sex, age and the age of CBD onset as indicators. METHODS: An agglomerative hierarchical clustering method defining a combination of the Schwarz Bayesian Information Criterion and log-likelihood was used. RESULTS: Three clusters were identified in a sample of n=110 patients attending a specialized CBD unit a) "male compulsive buyers" reported the highest prevalence of comorbid gambling disorder and the lowest levels of reward dependence; b) "female low-dysfunctional" mainly included employed women, with the highest level of education, the oldest age of onset, the lowest scores in harm avoidance and the highest levels of persistence, self-directedness and cooperativeness; and c) "female highly-dysfunctional" with the youngest age of onset, the highest levels of comorbid psychopathology and harm avoidance, and the lowest score in self-directedness. CONCLUSION: Sociodemographic characteristics and personality traits can be used to determine CBD clusters which represent different clinical subtypes. These subtypes should be considered when developing assessment instruments, preventive programs and treatment interventions.

Mediational Role of Age of Onset in Gambling Disorder, a Path Modeling Analysis.

The aim of the study is to assess a mediational pathway, which includes patients' sex, personality traits, age of onset of gambling disorder (GD) and gambling-related variables. The South Oaks Gambling Screen, the Symptom Checklist (SCL-90-R) and the Temperament and Character Inventory-R were administered to a large sample of 1632 outpatients attending a specialized outpatient GD unit. Sociodemographic variables were also recorded. A Structural Equation Model was adjusted to assess the pathway. Age of onset mediated between personality profile (novelty seeking and self-transcendence) and GD severity and depression symptoms (measured by SCL-90-R). Sex had a direct effect on GD onset and depression symptoms: men initiated the GD earlier and reported fewer depression symptoms. Age of onset is a mediating variable between sex, personality traits, GD severity and depression symptoms. These empirical results provide new evidence about the underlying etiological process of dysfunctional behaviors related to gambling, and may help to guide the development of more effective treatment and prevention programs aimed at high-risk groups such as young men with high levels of novelty seeking and self-transcendence.

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.