View clinical trials related to Eating Disorders.
Filter by:The research team would like to test how efficacious an artificial intelligence chatbot is in delivering supportive behavioral interventions in populations with anxiety, depression, or eating concerns.
This present study will compare the efficacy of in-person versus virtually-delivered Body Project groups. It will also evaluate whether this body acceptance class produces greater reductions in eating disorder risk factor symptoms (pursuit of the thin ideal, body dissatisfaction, dieting, dietary restraint, negative affect, eating disorder symptoms, and the future onset of eating disorders over a 3-month follow-up in this population. It will also evaluate the effectiveness of this body acceptance class's ability to impact social appearance anxiety, body compassion, and self-stigma surrounding attaining help.
This trial aims at comparing three group treatments designed for eating disorders: a Cognitive-dissonance, a Mindfulness and a Person-centered based programs. Women with eating disorders will be recruited and randomized to one of the three programs. Participants will complete a pretest, a posttest, a 3-months follow-up and a 1-year follow-up. This trial aims to compare the programs to analyze the specific dimensions upon which each program acts. The investigators therefore made hypotheses according to the programs' theory: participants in the Cognitive-dissonance based program should experience a greater decrease in eating disorders symptoms, thin-ideal internalization and body dissatisfaction and a greater improvement in quality of life than other participants. Participants in the Mindfulness-based program should show a greater improvement in negative affect and in equanimity than other participants. Participants in the Person-Centered based program should report a greater increase in congruence than other participants.
It has been described in obese individuals in which decreased basal metabolism as well as dopaminergic changes in the prefrontal cortex and striatum parallels the increased activation of reward brain regions in response to delicious food cues. Our aim is to explore different neurobehavioral dimensions of food choices and motivational processes in the light of this information, and to reveal whether these behaviors can be changed by operant conditioning with neuroimaging methods for phenotypes at risk.
This protocol is a randomized, double-blind, placebo-controlled clinical trial which aims to investigate the effect of romosozumab on BMD in women with anorexia nervosa. The investigators will also investigate the safety of romosozumab in women with anorexia nervosa. The investigators hypothesize that 12 months of romosozumab administration will result in an increase in bone mineral density, increase in markers of bone formation and decrease in markers of bone resorption, and improvement in bone microarchitecture in osteopenic women with anorexia nervosa compared with placebo. The extension study will offer subjects 12-month administration of open-label alendronate (an oral bisphosphonate) 70 mg once weekly after the initial 12 month administration of romosozumab or placebo. The investigators hypothesize that 12 months of romosozumab followed by 12 months of open-label alendronate will result in a greater increase in BMD compared to 12 months of placebo followed by 12 months of open-label alendronate. Within the group of women who receive sequential therapy with 12 months of romosozumab followed by 12 months of alendronate, the investigators hypothesize that BMD will be maintained between 12 and 24 months while on alendronate.
The "inpatient-equivalent home treatment"(IEHT) according to §115d SGB-V is a particular version of the internationally well-known and evidence-based Home Treatment. As a complex intervention, IEHT requires a multi-method evaluation on different levels in the German context. The AKtiV study that is financed by the Innovation Fund of the Federal Joint Committee (proposal ID: VSF2_2019-108) meets this request. In this quasi-experimental study with a propensity score-matched control group, we assess and combine quantitative and qualitative data. Outcome parameters include classical clinical ones such as hospital readmission rates, mental state, and recovery outcomes. In addition, it evaluates issues concerning the right target population, treatment processes, implementation strategies, and factors associated with positive outcomes. The study takes into account the perspective of patients, relatives, staff as well as decision makers in politics and administration. Therefore, we expect the results to be relevant for a broad audience and to contribute to further refinement and adaption of the model.
Clinical or subclinical eating disorders (EDs) impact 10% of individuals in their lifetime and are marked by significant functional impairment, early mortality, chronicity, and emotional distress. ED symptoms often emerge in adolescence, with peak onset age in the teenage years. Early recognition and treatment of these devastating illnesses are needed to prevent long-term consequences and a chronic course. Most (80%) individuals with EDs, including teens with EDs (TwEDs), do not receive treatment. Due to major barriers to access and to the delivery of treatment for TwEDs, there is a need for a new model of service delivery that can identify and help TwEDs. We demonstrated our ability to harness social media to identify and efficiently recruit large numbers of TwEDs. Our team has successfully developed a guided self-help cognitive behavioral therapy (CBT)-based mobile app for previous studies and have adapted this app to address the specific needs of TwEDs. In proposed study, we will test this updated mHealth intervention, which includes simplified language and tailored content relevant to adolescent issues and a social networking feature designed to facilitate group exchanges. This mHealth intervention will be investigated among 161 TwEDs recruited from Instagram/Facebook to test preliminary efficacy and feasibility of this mHealth intervention to improved eating disorder symptoms among TwEDs not currently engaged in treatment. We will also garnering feedback via a mixed methods approach on the efficiency, technical effectiveness, and satisfaction with mHealth intervention content and features. Participants will be randomized to one of 3 study arms, including a control group (self-help version of the app), a group with access to the coached mobile app only, and a group with access to the coached mobile app plus social networking feature. We hypothesized that those with access to the coached mobile app intervention will have improved ED outcomes in comparison to the control group, and that those with access to the additional social networking feature will have the most improvement in ED symptoms out of all three groups.
The prevalence of mental health problems among college populations has risen steadily in recent decades, with one third of today's students struggling with anxiety, depression, or an eating disorder (ED). Yet, only 20-40% of college students with mental disorders receive treatment. Inadequacies in mental health care delivery result in prolonged illness, disease progression, poorer prognosis, and greater likelihood of relapse, highlighting the need for a new approach for detecting mental health problems and engaging college students in services. The investigators have developed a transdiagnostic, low-cost mobile health targeted prevention and intervention platform that uses population-level screening for engaging college students in tailored services that address common mental health problems. This care delivery system represents an ideal model given its use of evidence-based mobile programs, a transdiagnostic approach that addresses comorbid mental health issues, and personalized screening and intervention to increase service uptake, enhance engagement, and improve outcomes. Further, this service delivery model harnesses the expertise of an interdisciplinary team of behavioral scientists, college student mental health scholars, technology researchers, and health economists. This work bridges the study team's collective leadership over the past 25 years in successfully implementing a population-based screening program in more than 160 colleges and demonstrating the effectiveness of Internet-based programs for targeted prevention and intervention for anxiety, depression, and EDs. Through this study, Investigators will test the impact of this mobile mental health platform for service delivery in a large-scale trial across a diverse range of U.S. colleges. Students who screen positive or at high-risk for clinical anxiety, depression, or EDs (excluding anorexia nervosa, for which more intensive medical monitoring is warranted) and who are not currently engaged in mental health services will be randomly assigned to: 1) intervention via the mobile mental health platform; or 2) referral to usual care (i.e., campus health or counseling center). Participants in the study will be enrolled for 2 years and asked to complete surveys at baseline, 6 weeks, 6 months, and 2 years.
This is a naturalistic study implementing a routine assessment to monitor the evolution of the patients with eating disorders being treated in various centers of "ITA salud mental" in Spain.
Eating disorders (ED) are serious mental illnesses with an excess mortality and many affects in the quality of life of patients and thier relatives. Management of ED is very difficult : the prognosis remains relatively poor both in terms of remission rate and quality of life. In this context, the contribution of new strategies for pathophysiological exploration and the development of therapeutic options are crucial. In this project the investigators aim to constitute un cohort of patients from a day unit specialized in the management of ED. A prospective follow-up will be offered to patients to assess their clinical and psycho-social evolution. The overall objective is to identify which factors are prognostic of clinical improvement of the ED. We also want to better characterize patients that will migrate from diagnosis to another.