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Background: Gambling disorder is a common mental health condition, and a growing cause of concern globally. Despite the availability of well-validated self-report and clinical instruments to measure symptom severity, there has been no study to establish optimal thresholds for determining treatment response based on these measures., Methods: Data from 553 participants (aged 18-65 years) who had participated in previous pharmacological and psychotherapeutic clinical trials for gambling disorder were aggregated. Studies were included that collected Clinical Global Impression Improvement (CGI-I) at end-of-study (reference standard), as well as baseline and end-of-study symptom severity using the Gambling Symptom Assessment Scale (GSAS) and/or the Yale-Brown Obsessive-Compulsive Scale Modified for Pathological Gambling (PG-YBOCS). Receiver Operator Characteristic (ROC) analyses were conducted to identify optimal thresholds for determining treatment response., Results: Greater than 50% improvement in PG-YBOCS and 35% improvement in GSAS were the optimal thresholds for defining treatment response. For the PG-YBOCS, the cutoff had acceptable sensitivity and specificity (85.0%, 83.0%) and area under the curve of 0.904. For the GSAS, the cutoff had acceptable sensitivity and specificity (81.2%, 73.4%), and area under the curve of 0.859., Conclusions: This study provides useful thresholds on two widely used, valid outcome measures for gambling disorder, in terms of determining treatment response or absence thereof. These thresholds may be useful for clinical practice at the level of individual patients, but also for future clinical trials., Competing Interests: Declaration of competing interest Dr Grant has received research grants from Janssen and Biohaven Pharmaceuticals. Dr Grant receives yearly compensation from Springer Publishing for acting as Editor-in-Chief of the Journal of Gambling Studies and has received royalties from Oxford University Press, American Psychiatric Publishing, Inc., Norton Press, and McGraw Hill. Dr Chamberlain receives a stipend for his role as Associate Editor at Neuroscience and Biobehavioral Reviews and at Comprehensive Psychiatry. Dr Ioannidis receives a stipend for his editorial role at Comprehensive Psychiatry., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Gambling disorder affects 0.5-2% of the population, and of those who receive treatment, dropout tends to be relatively high. Very little is known about participant-specific variables linked to treatment discontinuation/dropout in gambling disorder, especially in pharmacological clinical trial settings., Methods: Data were pooled from eight previous randomized, controlled pharmacological clinical trials conducted in people with gambling disorder. Demographic and clinical variables were compared between those who did versus did not subsequently dropout from those treatment trials., Results: The sample comprised data from 635 individuals, and the overall rate of treatment dropout was 40%. Subsequent treatment dropout was significantly associated with the following: positive family history of gambling disorder in one or more first degree relatives (relative risk [RR] of dropout in those with positive history vs not = 1.30), preference for mainly strategic vs non-strategic gambling activities (RR = 1.43), lower levels of education (Cohen's D = 0.22), and higher levels of functional disability (Cohen's D = 0.18). These variables did not differ significantly as a function of treatment condition (medication versus placebo). Dropouts and completers did not differ significantly in terms of the other demographic or clinical variables that were considered., Conclusions: This study identified several candidate participant-specific predictors of pharmacological treatment dropout in gambling disorder. The findings highlight the need for future studies to address a wider range of contextual variables at large scale (including also study-specific variables e.g. trial/intervention duration), including in naturalistic treatment and clinical trial settings, with a view to developing algorithms that might usefully predict dropout risk., Competing Interests: Declaration of competing interest Dr. Grant has received research grant support from Biohaven and Janssen Pharmaceuticals. He receives yearly compensation from Springer Publishing for acting as Editor-in-Chief of the Journal of Gambling Studies and has received royalties from Oxford University Press, American Psychiatric Publishing, Inc., Norton Press, and McGraw Hill. Dr. Chamberlain's work is funded by the NHS. He receives honoraria from Elsevier for associate editor work. Dr. Ioannidis's work is funded by the NHS. He receives honoraria from Elsevier for editorial work., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

This systematic review summarizes empirical evidence on risky decision-making (objective risk and ambiguity) in specific domains of problematic use of the internet (PUI) focusing on online addictive behaviors. We conducted a pre-registered (PROSPERO: CRD42020188452) PubMed search for PUI domains: gaming, social-network use, online buying-shopping, online pornography use, and unspecified PUI. We used the Newcastle-Ottawa Scale for quality assessment. Relevant studies were identified only for gaming (n = 19), social-network use (n = 8), unspecified PUI (n = 7), and online gambling (n = 1). The meta-analyses included 25 studies (2498 participants) comparing PUI and control groups regarding decision-making performance under objective risk and ambiguity. Across PUI domains, individuals with PUI compared to control participants showed more disadvantageous decision-making in measures of objective risk (g = -0.42 [-0.69, -0.16], p = .002) but not ambiguity (g = -0.22 [-0.47, -0.04], p = .096). PUI domain and gender were significant moderators. In the risk domain, effects were particularly present in gaming disorder, especially in exclusively male samples. Overall, the paucity of empirical studies in the considered area necessitates further research to identify probable gender- and disorder-specific cognitive relationships., Competing Interests: Competing interests SMM, EW, KI, MNP, SRC, and MB are (co-)authors of studies (n = 8) included in this review. MB, KI, and SRC are members of the “European Network for Problematic Usage of the Internet” (CA16207) supported by COST (European Cooperation in Science and Technology). KI and SRC receive honoraria from Elsevier for editorial work at Comprehensive Psychiatry (KI & SRC), and Neuroscience & Biobehavioral Reviews (SRC) journals. MNP has consulted for Opiant Pharmaceuticals, Idorsia Pharmaceuticals, AXA, Game Day Data, Baria-Tek and the Addiction Policy Forum; has been involved in a patent application with Yale University and Novartis; has received research support (to Yale) from Mohegan Sun Casino, Children and Screens and the Connecticut Council on Problem Gambling; has participated in surveys, mailings or telephone consultations related to drug addiction, impulse-control disorders or other health topics; has consulted for and/or advised gambling, non-profit and legal entities on issues related to internet-use/impulse-control/addictive disorders/behaviors; has performed grant reviews for research-funding agencies; has edited journals and journal sections; has given academic lectures in grand rounds, CME events and other clinical or scientific venues; and has generated books or book chapters for publishers of mental health texts., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: The coronavirus disease 19 (COVID-19) has led to increased reliance on the internet. How problematic usage of the internet (PUI) and COVID-19 related stress and other clinical variables relate, is unknown. We hypothesised that higher PUI level would be significantly associated with higher levels of: (i) pandemic-related stress; and (ii) impulsive and compulsive symptoms and traits., Methods: An online community-based cross-sectional survey was used for data collection. Relationships between PUI level and other variables were characterised using correlational analyses. Regression analyses determined the cumulative explanatory power of variables, with partial least squares structural equation modelling (PLS-SEM) to explore path loadings. ANOVA was used to investigate PUI level at varying lockdown levels., Results: Data from 2110 participants (64.5% female), aged 18-64 years (mean: 24.3, SD: 8.1) suggested that approximately a quarter (n = 489, 23.2%) had medium to high level internet use problems. Impulsive and compulsive symptoms and traits, pandemic-stress, and age were all significantly related to PUI (p < 0.01). These associations (medium effect sizes) cumulatively explained 29% of PUI variance. PLS-SEM indicated significant contributory effects, with the association between age and PUI level mediated by impulsivity, pandemic-stress and compulsivity., Discussion: Pandemic-stress, impulsive-compulsive symptoms and traits and age were related to PUI level. Enhancing resilience to stress, particularly in vulnerable populations, through lifestyle changes and implementation of adaptive coping strategies, is key to reduce risk for PUI during the COVID-19 pandemic and beyond., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Eating disorders are widespread illnesses with significant impact. There is growing concern about how those at risk of eating disorders overuse online resources to their detriment. We conducted a pre-registered systematic review and meta-analysis of studies examining Problematic Usage of the Internet (PUI) and eating disorder and related psychopathology. The meta-analysis comprised n = 32,295 participants, in which PUI was correlated with significant eating disorder general psychopathology Pearson r = 0.22 (s.e. = 0.04, p < 0.001), body dissatisfaction r = 0.16 (s.e. = 0.02, p < 0.001), drive-for-thinness r = 0.16 (s.e. = 0.04, p < 0.001) and dietary restraint r = 0.18 (s.e. = 0.03). Effects were not moderated by gender, PUI facet or study quality. Results are in support of PUI impacting on eating disorder symptoms; males may be equally vulnerable to these potential effects. Prospective and experimental studies in the field suggest that small but significant effects exist and may have accumulative influence over time and across all age groups. Those findings are important to expand our understanding of PUI as a multifaceted concept and its impact on multiple levels of ascertainment of eating disorder and related psychopathology., (Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Introduction: Impulsivity and compulsivity are important constructs, relevant to understanding behaviour in the general population, as well as in particular mental disorders (e.g. attention deficit hyperactivity disorder, obsessive-compulsive disorder). The current paper provides a narrative review of self-report impulsivity and compulsivity scales., Methods: A literature search was conducted using the following terms: ("impulsivity" OR "compulsivity") AND ("self-report" OR "questionnaire" OR "psychometric" OR "scale")., Results: 25 impulsive and 11 compulsive scales were identified, which varied considerably in psychometric properties, convenience, and validity. For impulsivity, the most commonly used scales were the BIS and the UPPS-P, whilst for compulsivity, the Padua Inventory was commonly used. The majority of compulsivity scales measured OCD symptoms (obsessions and compulsions) rather than being trans-diagnostic or specific to compulsivity (as opposed to obsessions). Scales capable of overcoming these limitations were highlighted., Discussion: This review provides clarity regarding relative advantages and disadvantages of different scales relevant to the measurement of impulsivity and compulsivity in many contexts. Areas for further research and refinement are highlighted., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Eating disorders are widespread illnesses with significant global impact. There is growing concern about how young people overuse online resources leading to mental health sequelae. We gathered data from 639 individuals from a population cohort. Participants were all young adults at the point of contact and were grouped as having probable eating disorder with excessive exercise (n = 37) or controls (n = 602). We measured obsessionality, compulsivity, impulsivity, and problematic internet use. Group differences in these domains were evaluated; and structural equation modelling (SEM) was used to assess structural relationships between variables. Cases had higher scores of obsessional thoughts of threat (Cohen's d = 0.94, p < 0.001), intolerance towards uncertainty (Cohen's d = 0.72; p < 0.001), thoughts of importance and control (Cohen's d = 0.65, p < 0.01), compulsivity (Cohen's d = 0.72; p < 0.001), negative urgency (Cohen's d = 0.75, p < 0.001), and higher problematic usage of the internet (Cohen's d = 0.73; p-corrected <0.001). Our SEM showed significant partial mediation of problematic internet use on both the effect of obsessionality latent factor on cases (z-value = 2.52, p < 0.05), as well as of sensation seeking latent factor on cases (z-value = 2.09, p < 0.05). Youth with eating disorder and heightened exercise levels have increased obsessive thoughts of threat, compulsivity traits and sensation seeking impulsivity. The association between obsessive thoughts and eating disorders, as well as sensation seeking and eating disorders were partially mediated by problematic internet use. Problematic internet use may be playing a role in the development or maintenance of eating disorder symptoms in the background of obsessional thoughts and sensation seeking impulsive traits., (Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Problematic internet use is common, functionally impairing, and in need of further study. Its relationship with obsessive-compulsive and impulsive disorders is unclear. Our objective was to evaluate whether problematic internet use can be predicted from recognised forms of impulsive and compulsive traits and symptomatology. We recruited volunteers aged 18 and older using media advertisements at two sites (Chicago USA, and Stellenbosch, South Africa) to complete an extensive online survey. State-of-the-art out-of-sample evaluation of machine learning predictive models was used, which included Logistic Regression, Random Forests and Naïve Bayes. Problematic internet use was identified using the Internet Addiction Test (IAT). 2006 complete cases were analysed, of whom 181 (9.0%) had moderate/severe problematic internet use. Using Logistic Regression and Naïve Bayes we produced a classification prediction with a receiver operating characteristic area under the curve (ROC-AUC) of 0.83 (SD 0.03) whereas using a Random Forests algorithm the prediction ROC-AUC was 0.84 (SD 0.03) [all three models superior to baseline models p < 0.0001]. The models showed robust transfer between the study sites in all validation sets [p < 0.0001]. Prediction of problematic internet use was possible using specific measures of impulsivity and compulsivity in a population of volunteers. Moreover, this study offers proof-of-concept in support of using machine learning in psychiatry to demonstrate replicability of results across geographically and culturally distinct settings., (Copyright © 2016 The Author(s). Published by Elsevier Ltd.. All rights reserved.)