[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"risk-taking\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:risk-taking":31},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,5,0,[8,52,80,111,141],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":20,"enrollmentInfo":21,"targetDuration":4,"studyType":24,"phases":25,"briefSummary":27,"conditions":28,"keywords":32,"overallStatus":39,"whyStopped":4,"lastUpdateSubmitDate":40,"lastUpdatePostDateStruct":41,"startDateStruct":44,"completionDateStruct":46,"leadSponsor":48,"locationsCount":51},"100586887","exploratory-analysis-of-interpersonal-and-intrapersonal-psychological-processes-implied-in-risk-taking-and-suicidal-behaviors-in-adult-and-adolescent-at-risk-100586887",false,"NCT06921226","Exploratory Analysis of Interpersonal and Intrapersonal Psychological Processes Implied in Risk-taking and Suicidal Behaviors, in Adult and Adolescent At-risk","Intra-personal and Interpersonal Psychological Processes Involved in Risk-taking and Suicidal Behaviors Among Vulnerable Adolescents and Adults","RISKY","Inclusion Criteria:\n\n* Age 12-65 years\n* Adolescent population considered as at risk in mental health : admitted to the peadiatric department (CHMS).\n\nor - Adult population : user of the Espoir73 association (an association for adults with a mental health problem) or users of SM@RT (CHS, a psycho-social rehabilitation center for adults with a mental illness).\n\nExclusion Criteria:\n\n\\- No suicidal ideation or behaviors (none \" Yes \" response at the 6 questions of the C-SSRS screen version).",true,"ALL","12 Years","65 Years",{"count":22,"type":23},1400,"ESTIMATED","INTERVENTIONAL",[26],"NA","In a recent report, Santé Publique France (2023), reported that 4.2% of 18-85 year-olds had thought about suicide in the last 12 months, and 6.8% had attempted suicide in their lifetime and 0.5% in the last year. Even more recently, the DREES (Direction de la recherche, des études, de l'évaluation et des statistiques auprès des Ministères Sociaux) published a report on May 16, 2024, showing a sharp rise in hospitalization rates for self-inflicted acts among female patients aged between 10 and 24, with a peak around age 15. Two-thirds of these hospitalizations for self-inflicted injuries are related to deliberate drug intoxication. Depression, bipolar disorders and schizophrenia spectrum disorders (among other psychological disorders) are known risk factors for suicide, which is the leading cause of death in this clinical context. In addition to these formalized psychopathological elements, risk behaviors underpinned by psychological processes common to suicide attempts are suspected and need to be studied in depth.\n\nResearch into psychiatry and the psychopathology of suicide has identified a number of risk and protective factors. These psychological determinants - or processes - act alongside other key factors such as the environment and social ties. Life contexts can have an impact on health, and more specifically on the psychopathology of individuals, through disturbances of a biological, psychological and social nature. It is important to be able to describe what processes are at work and how they explain the development and maintenance of behaviours that put one's life and health at risk. This is part of a preventive approach to mental health. We suggest that the study of psychological processes such as suicidal ruminations, impulsivity and interpersonal needs (e.g. the interpersonal theory of suicide) is necessary to understand their involvement in risk-taking and suicidal behavior. To our knowledge, few studies of this type are underway in France, particularly with vulnerable clinical populations (adolescents\u002Fadults). The inclusion of a process-centered approach (Kinderman, 2015), in a transdiagnostic and preventive way, constitutes an innovative approach.",[29,30,31],"Suicidal Ideas","Suicidal Ideation","Risk-taking",[33,34,35,36,37,38],"Risk-taking behaviors","Impulsivity","Interpersonal needs","Suicidal ruminations","Suicidal behaviors","BART","RECRUITING","2026-06-09",{"date":42,"type":43},"2026-06-10","ACTUAL",{"date":45,"type":43},"2025-06-26",{"date":47,"type":23},"2027-06-26",{"name":49,"class":50},"Centre Hospitalier Metropole Savoie","OTHER",3,{"id":53,"slug":54,"hasResults":11,"nctId":55,"briefTitle":56,"officialTitle":57,"acronym":4,"eligibilityCriteria":58,"healthyVolunteers":11,"sex":18,"minAge":19,"maxAge":59,"enrollmentInfo":60,"targetDuration":4,"studyType":24,"phases":62,"briefSummary":63,"conditions":64,"keywords":67,"overallStatus":39,"whyStopped":4,"lastUpdateSubmitDate":70,"lastUpdatePostDateStruct":71,"startDateStruct":73,"completionDateStruct":75,"leadSponsor":77,"locationsCount":79},"100623694","effects-of-cbt-i-on-impulsivity-and-risk-taking-in-youths-with-insomnia-100623694","NCT07399964","Effects of CBT-I on Impulsivity and Risk Taking in Youths With Insomnia","Effects of Cognitive Behavioural Therapy for Insomnia (CBT-I) on Impulsivity and Risk Taking in Youths With Insomnia: A Randomised Controlled Trial","Inclusion Criteria:\n\n* Chinese aged 12-24 years old\n* Written informed consent of participation in the study is given by the participant and his\u002Fher parent or guardian (for those aged under 18)\n* Willing to comply with the study protocol\n* Meeting the DSM-V diagnostic criteria of insomnia disorder and with a score on Insomnia Severity Index (ISI) \\>= 9 (suggested cut-off for adolescents)\n\nExclusion Criteria:\n\n* A current diagnosis of substance abuse or dependence; a current or past history of manic or hypomanic episode, schizophrenia spectrum disorders, neurodevelopmental disorders, organic mental disorders, or intellectual disabilities\n* Having a prominent medical condition known to interfere with sleep continuity and quality (e.g. eczema, gastro-oesophageal reflux disease)\n* Having a clinically diagnosed sleep disorder (other than insomnia disorder) that may potentially contribute to a disruption in sleep continuity and quality, such as narcolepsy, sleep-disordered breathing, and restless leg syndrome, as ascertained by the Structured Interview for Sleep Patterns and Disorders (DISP), a validated structured diagnostic interview to assess major sleep disorders according to the International Classification of Sleep Disorder (ICSD) criteria\n* Concurrent, regular use of medications(s) known to affect sleep continuity and quality including both western medications (e.g. hypnotics, steroids) and over-the-counter OTC medications (e.g. melatonin, Traditional Chinese Medicine, TCM)\n* In the opinion of the research clinician, having a clinically significant suicidality (presence of suicidal ideation with a plan or an attempt)\n* Currently receiving any psychological treatment for insomnia\n* With hearing or speech deficit\n* Night shift worker","24 Years",{"count":61,"type":23},124,[26],"Insomnia is prevalent in adolescents. Impulsive behaviours and excessive risk-taking have been linked to the manifestation of psychopathology in youths. Previous research based on behavioural and neurophysiological measures has found that individuals with insomnia demonstrated impaired inhibitory control, which is associated with detrimental outcomes such as substance abuse and self-harm.\n\nExisting evidence has shown some positive effects of cognitive behavioural therapy for insomnia (CBT-I) on insomnia symptoms and daytime functioning in youths. Given the link between insomnia and impulsivity reported in previous research, and sleep as a highly modifiable factor, we are conducting this randomised controlled trial to examine the impact of CBT-I in improving impulsivity and risk-taking in youth with insomnia.",[65,34,66],"Insomnia","Risk-Taking",[65,68,34,69],"Youth","Inhibitory Control","2026-02-05",{"date":72,"type":43},"2026-02-10",{"date":74,"type":43},"2024-06-19",{"date":76,"type":23},"2026-12-01",{"name":78,"class":50},"The University of Hong Kong",1,{"id":81,"slug":82,"hasResults":11,"nctId":83,"briefTitle":84,"officialTitle":85,"acronym":4,"eligibilityCriteria":86,"healthyVolunteers":17,"sex":18,"minAge":87,"maxAge":88,"enrollmentInfo":89,"targetDuration":4,"studyType":24,"phases":91,"briefSummary":92,"conditions":93,"keywords":98,"overallStatus":39,"whyStopped":4,"lastUpdateSubmitDate":102,"lastUpdatePostDateStruct":103,"startDateStruct":105,"completionDateStruct":107,"leadSponsor":109,"locationsCount":79},"100371007","changegradients-promoting-adolescent-health-behavior-change-100371007","NCT04110756","ChangeGradients: Promoting Adolescent Health Behavior Change","Promoting Adolescent Health Behavior Change With Clinically Integrated Sample-Efficient Policy Gradient Methods","Inclusion Criteria:\n\n* Adolescents between the ages of 15 and 17 years of age\n* Report current alcohol use\n* Presenting for a well-visit at UCSF Pediatric primary care clinics (the Mt. Zion Pediatric Primary Care Practices at UCSF and The Adolescent\u002FYoung Adult Clinic at UCSF)\n\nExclusion Criteria:\n\n* Non-English speakers","15 Years","17 Years",{"count":90,"type":23},200,[26],"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.\n\nThe 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.",[94,95,96,66,97],"Alcohol Drinking","Self Efficacy","Adolescent Behavior","Cancer",[99,100,101],"Alcohol- Prevention\u002FControl","Adolescent behavior","Video games- psychology","2025-10-29",{"date":104,"type":43},"2025-10-31",{"date":106,"type":43},"2024-02-12",{"date":108,"type":23},"2026-09-30",{"name":110,"class":50},"University of California, San Francisco",{"id":112,"slug":113,"hasResults":11,"nctId":114,"briefTitle":115,"officialTitle":115,"acronym":4,"eligibilityCriteria":116,"healthyVolunteers":11,"sex":117,"minAge":118,"maxAge":4,"enrollmentInfo":119,"targetDuration":4,"studyType":121,"phases":4,"briefSummary":122,"conditions":123,"keywords":4,"overallStatus":131,"whyStopped":4,"lastUpdateSubmitDate":132,"lastUpdatePostDateStruct":133,"startDateStruct":135,"completionDateStruct":137,"leadSponsor":139,"locationsCount":79},"100593790","sexual-health-of-sub-saharan-african-migrant-women-recently-diagnosed-with-hiv-in-le-de-france-missed-opportunities-for-prevention-100593790","NCT07011017","Sexual Health of Sub-Saharan African Migrant Women Recently Diagnosed With HIV in Île-de-France: Missed Opportunities for Prevention","Inclusion Criteria:\n\n* Sub-Saharan African migrant women recently diagnosed with HIV (from 2021 onward)\n* HIV diagnosis made on French territory\n* Aged 18 years or older\n\nExclusion Criteria:\n\n* Inability to inform the patient about the study due to a language barrier or other obstacle\n* HIV diagnosis made before 2021\n* HIV diagnosis made in the country of origin\n* Under 18 years of age","FEMALE","18 Years",{"count":120,"type":23},45,"OBSERVATIONAL","This study looks at the sexual health of women from Sub-Saharan Africa who recently found out they have HIV after arriving in Île-de-France. It aims to understand their risk factors and identify missed chances for HIV testing and prevention. The goal is to improve care and support for these women by learning more about their experiences and the challenges they face.",[124,125,126,127,128,129,66,130],"HIV Infections","Sexual Health","Migrants","Women's Health","Health Services Accessibility","Sub-Saharan Africa","Vulnerable Populations","NOT_YET_RECRUITING","2025-05-30",{"date":134,"type":43},"2025-06-08",{"date":136,"type":23},"2025-06-15",{"date":138,"type":23},"2025-11-15",{"name":140,"class":50},"Centre Hospitalier de Saint-Denis",{"id":142,"slug":143,"hasResults":11,"nctId":144,"briefTitle":145,"officialTitle":146,"acronym":4,"eligibilityCriteria":147,"healthyVolunteers":17,"sex":18,"minAge":87,"maxAge":118,"enrollmentInfo":148,"targetDuration":4,"studyType":121,"phases":4,"briefSummary":150,"conditions":151,"keywords":4,"overallStatus":39,"whyStopped":4,"lastUpdateSubmitDate":153,"lastUpdatePostDateStruct":154,"startDateStruct":156,"completionDateStruct":158,"leadSponsor":160,"locationsCount":79},"100514682","social-feedback-and-dysfunctional-risk-taking-in-nssi-adolescents-100514682","NCT05981677","Social Feedback and Dysfunctional Risk Taking in NSSI Adolescents","Risk and Social Feedback in Adolescents With Nonsuicidal Self-Injury","Inclusion Criteria:\n\n* 15-18 years\n* right-handed\n* normal or corrected normal visual acuity\n* meet the proposed DSM-5 frequency criteria (e.g., ≥5 days of NSSI behaviors in the past year)\n\nExclusion Criteria:\n\n* diagnosis of borderline personality disorder, major depressive disorder, other\n* psychiatric disorders, etc.\n* high suicidal risk\n* recent use of medications that can affect neural activity\n* have received or are receiving Dialectical Behavior Therapy (DBT) other treatment for emotional problems within the past 6 months\n* have a contraindication to MRI scanning (e.g., metal implants, claustrophobia or other conditions that make them inappropriate for MRI scanning)",{"count":149,"type":23},80,"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.",[152,66],"Nonsuicidal Self Injury","2024-04-09",{"date":155,"type":43},"2024-04-11",{"date":157,"type":43},"2023-12-06",{"date":159,"type":23},"2027-07",{"name":161,"class":50},"University of Electronic Science and Technology of China"]