Developing novel measures and treatments for gambling disorder

Background: While gambling is an activity that seems to have entertained humanity for millennia, it is less clear why problematic gambling behavior may persist despite obvious negative consequences, from a research and clinical perspective. With the introduction of the 5th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM–5), gambling was equated with alcohol and drug use and labeled an addictive disorder, Gambling Disorder (GD). Problem gambling is associated with destroyed careers, broken marriages, financial ruin, and psychiatric comorbidities. Still, research on gambling can be described as a field still in its infancy, with a need to conduct further gambling research on measurement and treatment procedures. Aims: The overall aim for the thesis was to develop and evaluate measures and treatments for Gambling Disorder. • The aims of Study I were to reach a consensus regarding a specific set of potential new measurement items, to yield a testable draft version of a new gambling measure, and to establish preliminary construct and face validity for this novel gambling measure, the Gambling Disorder Identification Test (GDIT). • The aim of Study II was to evaluate psychometric properties (e.g., internal consistency and test-retest reliability, factor structure, convergent and discriminant validity, as well as diagnostic accuracy) of the GDIT, among treatment- and support-seeking samples (n = 79 and n = 185), self-help groups (n = 47), and a population sample (n = 292). • The aim of Study III was to formulate hypotheses on the maintenance of GD by identifying clinically relevant behaviors at an individual level, among six treatmentseeking participants with GD. This qualitative study was conducted as a preparatory step to develop the iCBTG (see Study IV). • The aim of Study IV was to evaluate acceptability and clinical effectiveness of the newly developed iCBTG, among treatment seeking-patients with GD (n = 23) in routine care. A further aim was to evaluate research feasibility of using existing healthcare infrastructure to deliver the iCBTG program. Methods: In Study I, gambling experts from ten countries rated 30 items proposed for inclusion in the GDIT, in a two-round Delphi (n = 61; n = 30). Three following consensus meetings including gambling researchers and clinicians (n = 10; n = 4; n = 3), were held to solve item-related issues and establish a GDIT draft version. To evaluate face validity, the GDIT draft version was presented to individuals with experience of problem gambling (n = 12) and to treatment-seeker participants with Gambling Disorder (n = 8). In Study II, the psychometric properties of the GDIT were evaluated among gamblers (N = 603), recruited from treatment- and support-seeking contexts (n = 79; n = 185), self-help groups (n = 47), and a population sample (n = 292). The participants completed self-report measures, a GDIT retest (n = 499) and a diagnostic semi- structured interview assessing GD (n = 203). In Study III, treatment-seeking patients with GD and various additional psychiatric symptom profiles (n = 6), were interviewed using an in-depth semi-structured functional interview. Participants also completed self-report measures assessing gambling behavior. A qualitative thematic analysis was performed using functional analysis as a theoretical framework. Following completion of Study III, the results were synthesized with existing experimental evidence on gambling behavior and used to develop the novel treatment model and internet-delivered treatment evaluated in Study IV, i.e., the iCBTG. In Study IV, a non-randomized preliminary evaluation of the novel iCBTG was conducted in parallel with implementation into routine addiction care, through the Support and Treatment platform (St d och behandlingsplattformen; ST platform). Feasibility was evaluated among a sample of treatment-seeking patients (N = 23), in terms of iCBTG adherence, acceptability and clinical effectiveness, and feasibility of using existing healthcare infrastructure for clinical delivery as well as research purposes. Results: Study I established preliminary face validity for the GDIT, as well as construct validity in relation to a researcher agreement from 2006 on measuring problem gambling, known as the Banff consensus. Study II showed excellent internal consistency reliability (α = .94) and test–retest reliability (6-16 days, intraclass correlation coefficient = 0.93) for the GDIT. Confirmatory factor analysis yielded factor loadings supporting the three proposed GDIT domains of gambling behavior, gambling symptoms, and negative consequences. Receiver operating characteristic curves (ROC) and clinical significance estimates were used to establish GDIT cut-off scores for recreational gambling (<15), problem gambling (15-19), and GD (any ≥20; mild 20-24; moderate 25-29; and severe ≥30). Study III yielded several functional categories for gambling behavior, as well as four main processes potentially important for treatment, i.e., access to money, anticipation, selective attention (focus) and chasing behaviors. Study IV showed that patient engagement in the iCBTG modules was comparable to previous internet-delivered cognitive behavioral treatment trials in the general population. The iCBTG was rated satisfactory in treatment credibility, expectancy, and satisfaction. Mixed effects modeling revealed a significant decrease in gambling symptoms during treatment (within-group effect size d=1.05 at follow-up), which correlated with changes in loss of control (in the expected direction of increased control). However, measurement issues related to the ST platform were also identified, which led to significant attrition in several measures. Conclusions: GDIT is a reliable and valid measure to assess GD and problem gambling. In addition, GDIT demonstrates high content validity relation to the Banff consensus. The iCBTG was developed to achieve a theoretically grounded and meaningful treatment model for GD. Preliminary estimates support acceptability and clinical effectiveness in “real world” settings, but further randomized controlled studies are warranted to ensure treatment efficacy

Assessing severity of problem gambling–confirmatory factor and Rasch analysis of three gambling measures

The comparative psychometric properties of self-report measures for gambling are insufficiently evaluated, in particular regarding factor structure and item response properties. Confirmatory factor and Rasch analyses were tested for three widely used gambling measures assessing problem gambling and related constructs, that is, the Problem Gambling Severity Index (PGSI), the Problem and Pathological Gambling Measure (PPGM), and the NORC Diagnostic Screen for Gambling Problems (NODS). Psychometric data was analyzed, including help-seeking and recreational gambling samples (N = 598). Compared to the PPGM and the NODS, the PGSI performed worse in the confirmatory factor analysis, and showed poor fit for the theoretically assumed unidimensional model. The Rasch analysis indicated that the PPGM had an adequate difficulty range (i.e. lowest to highest item difficulty) to detect gambling problems across a severity continuum. Compared to the PPGM, the PGSI and NODS had smaller item difficulty ranges, indicating detection of higher gambling severity problems. We conclude that using the PGSI for detection of low severity problems, such as at-risk gambling, might be problematic. The PPGM can be used in general populations and clinical contexts to detect problem gambling and pathological gambling. The NODS is suitable for use in clinical samples for identification of pathological gambling.publishedVersio

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Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements