RESUMEN
Introduction: Mandatory breaks have been discussed as a harm reduction strategy in the context of gambling for several years, but their effectiveness remains unclear. The TESSA pilot study examines the association of physiological arousal (PA) and mandatory breaks during gambling with an aim to conceptualize the framework for a subsequent randomized controlled trial. Material and methods: In a one-armed experimental pilot study 28 participants engaged in a simulated online slot game with mandatory breaks. PA, disentangled into fear, anger, joy, attraction, balance, and retraction, was continuously monitored via skin conductivity and skin temperature. The occurrence of PA in distinct phases (phase 1: initiation, phase 2: pre-break, phase 3: post-break) was contrasted by multilevel logistic regression. Results: Fear and attraction did not change. Compared to phase 1, anger (OR = 0.698; p = 0.015) and joy (OR = 0.714; p = 0.032) were less likely in phase 2, with joy also being less likely in phase 3 (OR = 0.690; p = 0.023). Balance was more likely in phase 2 (OR = 5.073; p < 0.0001) than in phase 1 and less likely in phase 3 (OR = 0.348; p < 0.0001) whilst retraction declined from phase to phase. Discussion: Mandatory breaks appear suited to offset changes in PA response evolving during gambling, but a sustained effect on initial PA levels should not to be expected. However, to sensitively judge the role of breaks additional framework conditions that impact on gambling behavior (e. g. wins/losses) should be considered.
RESUMEN
OBJECTIVE: A previous study using Scleroderma Patient-centered Intervention Network (SPIN) Cohort data identified five classes of people with systemic sclerosis (also known as scleroderma) based on patient-reported somatic (fatigue, pain, sleep) and mental health (anxiety, depression) symptoms and compared indicators of disease severity between classes. Across four classes ("low", "normal", "high", "very high"), there were progressively worse somatic and mental health outcomes and greater disease severity. The fifth ("high/low") class, however, was characterized by high disease severity, fatigue, pain, and sleep but low mental health symptoms. We evaluated resilience across classes and compared resilience between classes. METHODS: Cross-sectional study. SPIN Cohort participants completed the 10-item Connor-Davidson-Resilience Scale (CD-RISC) and PROMIS v2.0 domains between August 2022 and January 2023. We used latent profile modeling to identify five classes as in the previous study and multiple linear regression to compare resilience levels across classes, controlling for sociodemographic and disease variables. RESULTS: Mean CD-RISC score (N = 1054 participants) was 27.7 (standard deviation = 7.3). Resilience decreased progressively across "low" to "normal" to "high" to "very high" classes (mean 4.7 points per step). Based on multiple regression, the "high/low" class exhibited higher resilience scores than the "high" class (6.0 points, 95% confidence interval [CI] 4.9 to 7.1 points; standardized mean difference = 0.83, 95% CI 0.67 to 0.98). CONCLUSIONS: People with worse disease severity and patient-reported outcomes reported substantially lower resilience, except a class of people with high disease severity, fatigue, pain, and sleep disturbance but positive mental health and high resilience.