View clinical trials related to Risk-taking.
Filter by:Nonsuicidal self-injury (NSSI) is defined as direct, intentional physical injury without suicidal intention. Problematic interpersonal relationships and decision-making have been demonstrated to play crucial roles in this maladaptive behavior, especially for adolescents. Accumulating evidence suggests that decision processes and risk-taking are strongly influenced by the affective state of the individual. However, whether these interactions are disrupted in NSSI adolescents has not been systematically examined. In the current study, the investigators modified one of the most widely used paradigms for measuring an individual's risk decision-making, the Balloon Analogue Risk Task (BART). The investigators combine social reward (green balloon), punishment (red balloon), and control feedback (yellow balloon), to investigate whether the NSSI adolescents have dysfunctional risk-taking behavior while facing different social outcomes. The investigators recruit one group of NSSI adolescents (n = 40) and one health control (HC) group (n = 40), to compare their risk-related decisions during the emotional BART. The investigators hypothesize that compared to HC, NSSI adolescents will show altered effects of social reward and punishment on risk-related decision-making, in particular higher risk avoidance in the context of social punishment.
The scope of the study covers the effects of music therapy on risk perception levels and sleep quality in pregnant women hospitalized due to the diagnosis of premature birth threat.
The goal of this project is to help individuals better self-assess by taking advantage of their emotional feelings.
The persistent political conflicts and COVID-19 pandemic have led to elevated chronic stress levels in Hong Kong, with far-reaching and profound negative impacts on the citizen's mental health. An important pathway via which chronic stress negatively impacts health is through promoting high-risk behaviours, such as addiction, suicide, and antisocial acts. Therefore, testing means to break the association between chronic stress and high-risk behaviour is essential to reducing the adverse consequences of stress and promoting stress resilience. The transcranial direct current stimulation (tDCS) may be a viable method for reducing risky tendency in high-stress individuals, through modulating brain functions and plasticity. Although single-session tDCS has been shown to reliably reduce risky decision making and behaviours acutely, its efficacy over extended periods of time has not been demonstrated, particularly among non-clinical samples. Being able to show that tDCS could lead to long-lasting reduction of risky tendency is necessary for promoting the wide application of this method in therapeutic settings. In this project, we aim to conduct a randomised control trial to systematically and comprehensively test whether 10 sessions of tDCS on either the dorsolateral prefrontal cortex or the orbitofrontal cortex would lead to reduction in risky tendency not only immediately after treatment, but also at 1 month and 3 months after treatment. Participants will be healthy male and female adults (21-40 years old) under relatively high levels of chronic stress, as selected from an online survey prior to the study. Participants will be randomly allocated to one of 3 treatment groups: DLPFC tDCS, OFC tDCS, and sham control. At baseline, participants will complete several risk-taking assessments, including an established computerised task that measures both risk taking and a cognitive bias that was shown to increase irrational risky tendency (illusion of control), an established questionnaire that measures risky decision making in real-life scenarios, and a scale measuring past engagement in common risky activities. Participants will also complete various personality and mood questionnaires, along with assessments on important cognitive abilities. We hypothesized that both DLPFC and OFC tDCS would reduce risk taking across the 3 timepoints, but the effect of DLPFC tDCS would be mediated by reduction in cognitive bias, whereas that of OFC tDCS would be mediated by increase in inhibition functions. These hypotheses will be tested by linear mixed models and mediation analyses. Additional exploratory analyses also test whether the tDCS effect would be moderated by relevant personality factors such as impulsivity.
The aim of this study is to identify the risk factors favoring the contagion of COVID-19 by studying the quarantine behavior and preventive measures in the Mexican population. As a secondary aim, the investigators sought to identify areas that need reinforcement, to help develop strategies for a successful plan to face an upcoming pandemic.
The study ANRS 174 Doxyvac is a clinical trial that will use Combined Prevention of Sexually Transmitted Infections (STIs) in Men Who Have Sex with Men and using oral TDF/FTC for HIV Pre-Exposure Prophylaxis (PrEP) and vaccination with Bexsero.
In Spain, an estimated 690,000 persons have epilepsy, of whom 270,000 have active epilepsy (defined as those who have had a seizure in the last 5 years). It is estimated that 30% of patients diagnosed with epilepsy are drug-resistant. Patients with loss of consciousness or impaired awareness during seizures are at higher risk of injury due to accidents. To prevent such injuries, it is important that patients are sufficiently knowledgeable about their disease to allow them to avoid risk behavior. In this project, we want to know if visualization of self seizures has an impact on the perception of the severity of the disease, as well as on the risky behavior habits.
Therefore, this study tries to examine relationships among risk perception, risk-taking and humor styles through the mediating role of self-control. The present study used the correlation method. The statistical population consisted of all undergraduate students from University of Bojnord. The number of 400 students from the Faculty of Humanities and Basic Sciences was selected by using cluster sampling. The questionnaires were distributed in the classes among who inclined to participate in this study and they completed the questionnaires as anonymous.
As most adolescents visit a healthcare provider once a year, health behavior change interventions linked to clinic-based health information technologies hold significant promise for improving healthcare quality and subsequent behavioral health outcomes for adolescents (Baird, 2014, Harris, 2017). Recognizing the potential to leverage recent advances in machine learning and interactive narrative environments, the investigators are now well positioned to design health behavior change systems that extend the reach of clinicians to realize significant impacts on behavior change for adolescent preventive health. The proposed project centers on the design, development, and evaluation of a clinically-integrated health behavior change system for adolescents. CHANGEGRADIENTS will introduce an innovative reinforcement learning-based feedback loop in which adolescent patients interact with personalized behavior change interactive narratives that are dynamically personalized and realized in a rich narrative-centered virtual environment. CHANGEGRADIENTS will iteratively improve its behavior change models using policy gradient methods for Reinforcement Learning (RL) designed to optimize adolescents' achieved behavior change outcomes. This in turn will enable CHANGEGRADIENTS to generate more effective behavior change narratives, which will then lead to further improved behavior change outcomes. With a focus on risky behaviors and an emphasis on alcohol use, adolescents will interact with CHANGEGRADIENTS to develop an experiential understanding of the dynamics and consequences of their alcohol use decisions. The proposed project holds significant transformative potential for (1) producing theoretical and practical advances in how to realize significant impacts on adolescent health behavior change through novel interactive narrative technologies integrated with policy-based reinforcement learning, (2) devising sample-efficient policy gradient methods for RL that produce personalized behavior change experiences by integrating theoretically based models of health behavior change with data-driven models of interactive narrative generation, and (3) promoting new models for integrating personalized health behavior change technologies into clinical care that extend the effective reach of clinicians.
HiSLAC is an independent, professionally-led study which will evaluate a key component of NHS England's policy drive for 7-day services: the intensity of specialist-led care of emergency medical admissions, with a particular focus on weekend provision. This research is important for patients and for NHS strategy because it offers a unique opportunity to evaluate the impact of the transition to seven-day working, and to understand factors likely to impede or enhance the effectiveness of this change in practice. In addition to examining the impact on patient-centred outcomes, the project will also undertake a health economics analysis of the impact of increasing specialist provision across the NHS. HiSLAC will therefore provide useful information across the NHS about the cost-effectiveness of investing in consultant and other specialist staffing in implementing the drive to 7-day service provision. In this survey instrument, physician characteristics and psychological attitudes have been shown to influence medical decisions. This study aims to describe the influence of several patient characteristics and reviewer characteristics and attitudes on the physician's overall case note review care quality judgement using an analytical method called multi-level modelling.