Impulsivity profiles in pathological slot machine gamblers.

INTRODUCTION: In gambling disorder (GD), impulsivity has been related with severity, treatment outcome and a greater dropout rate. The aim of the study is to obtain an empirical classification of GD patients based on their impulsivity and compare the resulting groups in terms of sociodemographic, clinical and gambling behavior variables. METHODS: 126 patients with slot machine GD attending the Pathological Gambling Unit between 2013 and 2016 were included. The UPPS-P Impulsive Behavior Scale was used to assess impulsivity, and the severity of past-year gambling behavior was established with the Screen for Gambling problems questionnaire (NODS). Depression and anxiety symptoms and executive function were also assessed. A two-step cluster analysis was carried out to determine impulsivity profiles. RESULTS: According to the UPPS-P data, two clusters were generated. Cluster 1 showed the highest scores on all the UPPS-P subscales, whereas patients from cluster 2 exhibited only high scores on two UPPS-P subscales: Negative Urgency and Lack of premeditation. Additionally, patients on cluster 1 were younger and showed significantly higher scores on the Beck Depression Inventory and on the State-Trait Anxiety Inventory questionnaires, worse emotional regulation and executive functioning, and reported more psychiatric comorbidity compared to patients in cluster 2. With regard to gambling behavior, cluster 1 patients had significantly higher NODS scores and a higher percentage presented active gambling behavior at treatment start than in cluster 2. CONCLUSIONS: We found two impulsivity subtypes of slot machine gamblers. Patients with high impulsivity showed more severe gambling behavior, more clinical psychopathology and worse emotional regulation and executive functioning than those with lower levels of impulsivity. These two different clinical profiles may require different therapeutic approaches.

Pathological gambling: understanding relapses and dropouts.

There is little available information on the factors that influence relapses and dropouts during therapy for pathological gambling (PG). The aim of this study was to determine socio-demographic, clinical, personality, and psychopathological predictors of relapse and dropout in a sample of pathological gamblers seeking treatment. A total of 566 consecutive outpatients diagnosed with PG according to DSM-IV-TR criteria were included. All patients underwent an individualized cognitive-behavioral treatment program. We analyzed predictors of relapse during 6months of treatment and during the subsequent 6months of follow-up, and predictors of dropout over the entire therapeutic program. Eighty patients (14.1%) experienced at least one relapse during the entire follow-up of the study: 50 (8.8%) within the treatment period and 12 (2.1%) during the subsequent 6-month follow-up period. The main predictors of relapse were single marital status, spending less than 100euros/week on gambling, active gambling behavior at treatment inclusion, and high scores on the TCI-R Harm Avoidance personality dimension. One hundred fifty-seven patients (27.8%) missed 3 or more therapeutic sessions over the entire therapeutic program. The main predictors of dropout were single marital status, younger age, and high scores on the TCI-R Novelty Seeking personality dimension. The presence of these factors at inclusion should be taken into account by physicians dealing with PG patients.

Reduced stereotypicality and spared use of facial expression predictions for social evaluation in autism.

Background/Objective: Autism has been investigated through traditional emotion recognition paradigms, merely investigating accuracy, thereby constraining how potential differences across autistic and control individuals may be observed, identified, and described. Moreover, the use of emotional facial expression information for social functioning in autism is of relevance to provide a deeper understanding of the condition. Method: Adult autistic individuals (n = 34) and adult control individuals (n = 34) were assessed with a social perception behavioral paradigm exploring facial expression predictions and their impact on social evaluation. Results: Autistic individuals held less stereotypical predictions than controls. Importantly, despite such differences in predictions, the use of such predictions for social evaluation did not differ significantly between groups, as autistic individuals relied on their predictions to evaluate others to the same extent as controls. Conclusions: These results help to understand how autistic individuals perceive social stimuli and evaluate others, revealing a deviation from stereotypicality beyond which social evaluation strategies may be intact.

Differences in Screen Addiction in the Past 15 Years.

The use of information and communication technologies (ICTs) has become widespread in recent years, leading to an increase in addiction cases. A total of 118 patients who attended the Behavioral Addictions Unit of Consorci Sanitari de Terrassa (Barcelona, Spain) between October 2005 and December 2021 were included in the study. The sample was divided into three groups according to the time period in which they started treatment: between 2005 and 2010 (before the rise in new technologies, named the pre-ICT period), between 2011 and 2019 (a time of major ICT development, named the ICT period) and between 2020 and 2021 (with massive use of the internet due to effects of the pandemic, named the COVID-19 period). We found an increase in the incidence of screen addiction cases related to the development of technology throughout the study years, and this increase was accentuated during the COVID-19 period. This increase was not equal for all types of content consumed via the internet, with patients with video game addiction increasing to a greater extent than patients with internet/social network addiction. In addition, patients with video game addiction were younger and had started gaming at a younger age than those with internet/social network addiction. These results contribute to a better understanding of the phenomenon of technology addiction and to the design of appropriate treatment protocols and preventive programs.

Predictive processing in depression: Increased prediction error following negative valence contexts and influence of recent mood-congruent yet irrelevant experiences.

BACKGROUND: Novel theoretical models of depression have recently emerged based on an influential new perspective in neuroscience known as predictive processing. In these models, depression may be understood as an imbalance of predictive signals in the brain; more specifically, a dominance of predictions leading to a relative insensitivity to prediction error. Despite these important theoretical advances, empirical evidence remains limited, and how expectations are generated and used dynamically in individuals with depression remains largely unexplored. METHODS: In this study, we induced facial expression predictions using emotion contexts in 34 individuals with depression and 34 healthy controls. RESULTS: Compared to controls, individuals with depression perceived displayed facial expressions as less similar to their expectations (i.e., increased difference between expectations and actual sensory input) following contexts evoking negative valence emotions, indicating that depressed individuals have increased prediction error in such contexts. This effect was amplified by recent mood-congruent yet irrelevant experiences. LIMITATIONS: The clinical sample included participants with comorbid psychopathology and taking medication. Additionally, the two groups were not evaluated in the same setting, and only three emotion categories (fear, sadness, and happiness) were explored. CONCLUSIONS: Our results shed light on potential mechanisms underlying processing abnormalities regarding negative information, which has been consistently reported in depression, and may be a relevant point of departure for exploring transdiagnostic vulnerability to mental illness. Our data also has the potential to improve clinical practice through the implementation of novel diagnostic and therapeutic tools based on the assessment and modulation of predictive signals.

Current Addiction in Youth: Online Sports Betting.

Background: Gambling landscape has changed in recent years with the emergence of online gambling (OG). Greater accessibility and availability of this betting modality can increase the risk of developing a gambling disorder (GD). Online sports betting (OSB) is currently the most common type of OG, but little is known about the clinical characteristics of OSB compared to slot-machine (SM) gamblers, the most common offline gambling disorder. Methods: This was a prospective study conducted between October 2005 and September 2019, and included outpatients diagnosed with GD seen in a Pathological Gambling and Behavioral Addictions referral unit. Only patients with OSB and SM disorders were included. The main objective was to assess the clinical profile of OSB compared to SM gamblers, and to define clinical predictors for developing OSB gambling disorder. Logistic regression was performed to determine the effects of variables on the likelihood of this disorder. Results: Among 1,186 patients attended in our Unit during the study period, 873 patients were included; 32 (3.7%) were OSB gamblers and 841 (96.3%) were SM gamblers. Overall, mean age was 45 ± 13 years and 94.3% were men. Compared to SM patients, OSB patients were younger (34.9 ± 9.5 vs. 45.3 ±13), more frequently single (43.8 vs. 20.6%) and had a university education level (43.8 vs. 4.5%); they were also more frequently non-smokers (18.7 vs. 66.7%) and had fewer psychiatric comorbidities (12.5 vs. 29.4%) than SM gamblers. GD duration before treatment initiation was shorter in OSB patients than in SM gamblers, most of them (81.3 vs. 42.4%) with ≤ 5 years of GD duration. OSB gamblers showed significant differences in weekly gambling expenditure, spending higher amounts than SM patients. Younger age (OR: 0.919; 95% CI: 0.874-0.966), university education level (OR: 10.658; 95% CI: 3.330-34.119), weekly expenditure >100€ (OR: 5.811; 95% CI:1.544-21.869), and being a non-smoker (OR:13.248; 95% CI:4.332-40.517) were associated with an increased likelihood of OSB gambling behavior. Conclusions: We identified different profiles for OSB and SM gamblers. Younger age, university education level, higher weekly expenditure, and non-smoking habit were associated with OSB compared to SM disorders. Prevention strategies should help young people become aware of the severe risks of OSB.

Predicting treatment failure in pathological gambling: the role of personality traits.

INTRODUCTION: The aim of this study was twofold: First, to assess the personality profile of treatment-seeking adult outpatients with pathological gambling compared to a matched control group under the Alternative Five Factor Model perspective, and second, to determine which personality variables would predict treatment outcome. METHODS: The final total sample consisted of 44 consecutive treatment-seeking pathological gamblers (PGs) and 88 controls paired by age and sex who completed the Zuckerman-Kuhlman Personality Questionnaire (ZKPQ). Twelve months after starting an open program of individual cognitive-behavioral therapy, PGs were categorized as abstinent or treatment failure. RESULTS: PGs scored significantly higher on Neuroticism-Anxiety. Those who had relapsed or dropped out showed higher Impulsivity and Sensation Seeking scores. Impulsivity emerged as a significant predictor of treatment failure. Treatment-seeking PGs scored higher on Neuroticism-Anxiety and Impulsivity appeared as a risk factor of relapsing or dropping out. CONCLUSIONS: Our findings support the importance of individual differences in personality on therapy outcomes. The ZKPQ may constitute a useful tool to identify these individual differences that might be considered when making personalized treatment decisions to improve the effectiveness and quality of treatment interventions.

The role of personality in the prediction of treatment outcome in pathological gamblers: a follow-up study.

The aim of the present study was to determine which domains in NEO Personality Inventory-Revised would predict relapse and dropout in treatment-seeking slot-machine pathological gamblers after 1-year follow-up. The NEO PI-R was completed by 73 consecutive treatment-seeking outpatients before they began an open program of individual cognitive-behavioral therapy. Twelve months after starting treatment, patients were categorized in groups as abstinent versus relapsed or completers versus dropouts. At 1-year follow-up, 29% of patients were abstinent, and 48% had completed treatment. Those who had relapsed showed higher significant scores on Neuroticism and lower scores on Conscientiousness. The dropout group scored significantly higher on Neuroticism and lower on Agreeableness and Conscientiousness than the completer group. Low scores on Conscientiousness emerged as a significant predictor of relapse; while low scores on Conscientiousness and Agreeableness were significant predictors of dropout. It seems as if low Conscientiousness could be considered as a predictor of treatment failure measured by either relapses or dropouts, whereas, low Agreeableness seems to be a prognostic domain specifically for dropouts. Pathological gamblers with lower Conscientiousness and lower Agreeableness seem to be at risk of prematurely dropping out of treatment. Our findings support the importance of individual differences in personality on therapy outcomes. The NEO PI-R may constitute an important tool to identify treatment-seeking pathological gamblers who may be at risk of relapsing or dropping out of treatment.

Terapia de rehabilitación cognitiva para trastornos depresivos: estudio piloto sobre la mejora y mantenimiento del funcionamiento cognitivo y psicosocial / Cognitive remediation therapy for depressive disorders: Pilot study on the improvement and maintenance of cognitive and psychosocial functioning

Los trastornos depresivos son una de las principales causas de discapacidad global y la presencia de déficits cognitivos se relacionan con un peor pronóstico. Dado que la rehabilitación cognitiva en este trastorno está poco estudiada, y menos sus efectos a largo plazo, nuestro objetivo fue investigar sus beneficios en la mejora cognitiva y funcional de estos pacientes. Veintidós participantes fueron asignados aleatoriamente a: a) terapia cognitivo conductual grupal; y b) terapia cognitivo conductual grupal+terapia de rehabilitación cognitiva. Se realizó una evaluación al inicio del tratamiento, a los 3 y 6 meses de la finalización del mismo. Los participantes asignados al grupo con terapia de rehabilitación cognitiva mejoraron más su funcionamiento ejecutivo y estos efectos se mantenían en el tiempo. Sin embargo, no se encontraron diferencias entre ambos grupos en funcionamiento psicosocial. Estos resultados apoyan la importancia de seguir investigando la utilidad de la rehabilitación cognitiva en la recuperación de pacientes con trastornos depresivos

Depressive disorders are one of the main causes of global burden disease and cognitive impairment is associated with worse prognosis. Cognitive Remediation Therapy (CRT) and its long-term effects are understudied; our aim is to investigate the benefits of CRT in the cognitive and functional improvement and maintenance of theses patients. Twenty-two participants were randomly assigned to: a) Group Cognitive Behavioral Therapy (CBT-G) and b) CBT-G plus CRT. Patients were evaluated before treatment, at 3 and 6 months after the end of the treatment. Participants assigned to the TRC group improved more in executive function and its effects remain over time. However, no differences were found between groups in psychosocial functioning improving. These results support the relevance of continue investigating the usefulness of CRT in depression patients recovery