Update on Gambling Disorder

Internet-based cognitive behavioral therapy for individuals with gambling disorder in Indonesia: protocol for a pilot and feasibility study

Background

Gambling disorder (GD) has become a wide concern in Indonesia, as many negative consequences arise from this psychiatric condition. Prompt treatment with an appropriate method of delivery is required to achieve optimal outcomes in GD patients. This protocol paper outlines a study to determine the effectiveness, acceptability, and feasibility of internet-based cognitive behavioral therapy (iCBT) in treating GD in Indonesia.

Methods

This non-randomized pilot and feasibility study will recruit 20 people with GD. All participants will receive the iCBT intervention through self-learning videos and guided weekly group sessions. The effectiveness of the intervention will be assessed at baseline (week 0), post- treatment completion (week 10), and 6 weeks post-treatment (week 16). The outcomes measured will be the change in gambling symptoms, gambling urges, cognitive distortions, readiness to change, emotional problems, and quality of life of the participants.

Discussion

The feasibility of iCBT for GD patients in Indonesia will be assessed by this study. The study's results will give an indication of the acceptability of the intervention and the feasibility of a subsequent conclusive trial. The delivery of iCBT may help to address the issue of treatment access in an extensive geographical region and provide immediate implications as a treatment resource for GD in practice.

Understanding the Co-occurrence of Gambling Disorder and Problematic Pornography Use: Exploring Sociodemographic and Clinical Factors

The co-occurrence between gambling disorder (GD) and problematic pornography use (PPU) has not yet been explored. Therefore, the present study compared (a) sociodemographic variables, (b) GD-related factors, (c) substance use, (d) psychopathology, (e) personality features, (f) impulsivity, and (g) emotion regulation between individuals with GD (GD group) and those with co-occurring GD and PPU (GD+PPU group). The sample consisted of 359 treatment-seeking individuals with GD: n = 332 individuals had GD only (GD group) and n = 37 individuals had GD and co-occurring PPU (GD+PPU group). GD severity, impulsivity, psychopathology, personality, emotion regulation, and other sociodemographic and clinical variables were assessed. No between-group differences in sociodemographic measures were observed. The GD+PPU group demonstrated greater GD severity and a higher likelihood of substance use compared to those without PPU. Furthermore, the presence of PPU was associated with worse psychopathology, higher impulsivity (except for lack of premeditation and positive urgency), more difficulties in emotion regulation (except for non-acceptance of emotions and limited access to emotions), and a personality profile characterized by lower levels of self-directedness and cooperativeness. The co-occurrence of GD and PPU seems associated with a more dysfunctional clinical profile.

Using the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) to Predict Gambling Disorder Among U.S. College Students

The Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) screening tool has not previously been used to evaluate risk for gambling disorder (GD). We aimed to assess the level at which each specific substance involvement score (SSIS), measured by ASSIST, most optimally predicted GD among U.S. college students. Data were analyzed for 141,769 students from the National College Health Assessment (fall 2019-spring 2021) utilizing multivariable logistic regression models. Sensitivities and specificities were utilized to find optimal cutoffs that best identified those with GD, overall and by biological sex and age group. Lower threshold of substance risk related to prescription opioids, cocaine, and hallucinogens (all with SSIS cutoffs of 4) predicts gambling disorder compared to sedatives (SSIS cutoff of 19). Younger students had lower thresholds of substance risk predicting GD than older students for heroin, but for all other substance classifications students 25 years and older had lower thresholds of SSIS predicting GD than students 18-24 years old. This study aids in the understanding that substance use behavior may put students at risk for other addictive behaviors such as GD. This study is the first to utilize the ASSIST tool to predict GD among U.S. college students, extending its application beyond substance use disorders. The identification of optimal cutoffs for each SSIS provides a novel approach to concurrently screen for GD and substance use disorders. This unique contribution could enhance early detection and intervention strategies for GD in the college student population.

Motivational interviewing-an evidence-based, collaborative, goal-oriented communication approach in lifestyle medicine: A comprehensive review of the literature

The global threat of noncommunicable diseases (NCDs) is alarmingly increasing. The health and economic burden of improper lifestyle choices is immense. Reducing modifiable risk factors has been demonstrated to significantly prevent chronic diseases. At this crucial time, lifestyle medicine (LM) has been recognized as an evidence-based medical domain applicable to NCDs. Among the tools used in LM, motivational interviewing (MI) is a patient-centered, collaborative counseling approach. In this evidence-based review article, we discuss recent literature on the application of MI in the six LM pillars defined by the British Society of LM (BSLM): healthy eating, mental wellbeing, healthy relationships, physical activity, minimizing harmful substances, and sleep. MI helps strengthen patients' motivation to ameliorate behaviorally influenced health problems, improve treatment adherence, and optimize medical interventions. Technically correct, theoretically congruent, and psychometrically sound MI interventions yield satisfactory outcomes and help improve patient quality of life. Lifestyle change is often a gradual process involving multiple efforts and setbacks. MI is based on the idea that change is a process rather than an event. Extensive literature evidence supports the benefits of MI treatment, and interest in research on MI application is increasing across all BSLM pillars. MI helps people alter their thoughts and feelings about making changes by recognizing obstacles to change. Even interventions of short duration have been reported to yield better outcomes. Healthcare professionals must understand the relevance and importance of MI in clinical practice.

Eating Disorders and Addictive Behaviors: Implications for Human Health

Eating disorders (EDs) are mental health diseases characterized by dysfunctional eating patterns, including restrictive eating, avoidance of foods, binge eating, and compensative behaviors to avoid weight increases and promote thinness (purging, vomiting, laxative/diuretics misuse, and compulsive exercise) [...].

The Price of Gambling: Examining Gambling Disorders

Gambling disorders are a serious public health problem. This manuscript will provide a comprehensive overview on this topic. Gambling disorder involves repeated patterns of gambling behaviors, that result in significant distress or impairment in a person's interpersonal relationships, employment, educational/career opportunities, and finances over a period of 12 months. Gambling is defined as an activity that involves risking something of value with the hopes of acquiring something of greater value. Comparable to substance use disorders, individuals with a gambling disorder may be unsuccessful in exercising control over their problematic behavior, engage in the behavior despite negative consequences, and have preoccupations/cravings to gamble. Gambling disorder has higher comorbidity rates of mental disorders including depression, anxiety, substance use, and personality disorders. Gamblers rarely seek treatment. Treatments must be tailored to the individual which may include psychological interventions, cognitive behavioral therapy, gamblers anonymous, and psychopharmacological agents such as selective serotonin reuptake inhibitors, mood stabilizers, and opioid antagonists to treat clinical symptoms.

Network Analysis of the Structure of the Core Symptoms and Clinical Correlates in Comorbid Schizophrenia and Gambling Disorder

Few studies have analyzed the clinical profile of treatment-seeking patients with the comorbid presence of schizophrenia (SCZ) and gambling disorder (GD), which warrants new research to assess the network structure of this complex mental condition. The aim of this study was to explore the organization of the symptoms and other clinical correlates of SCZ with GD. Network analysis was applied to a sample of N = 179 SCZ patients (age range: 19-70 years, mean=39.5, SD=9.9) who met clinical criteria for gambling disorder-related problems. Variables included in the network were the core GD symptoms according to the DSM-5, psychotic and paranoid ideation levels, global psychological distress, GD severity measures (debts and illegal behavior related with gambling), substances (tobacco, alcohol, and illegal drugs), and personality profile. The nodes with the highest authority in the network (variables of highest relevance) were personality traits and psychological distress. Four empirical modules/clusters were identified, and linkage analysis identified the nodes with the highest closeness (bridge nodes) to be novelty seeking and reward dependence (these traits facilitate the transition between the modules). Identification of the variables with the highest centrality/linkage can be particularly useful for developing precise management plans to prevent and treat SCZ with GD.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11469-022-00983-y.