Binge Eating Paid Clinical Trials in Pennsylvania

Overweight/obesity and inadequate sleep are prevalent, and frequently co-occurring, health risks among children, both of which are associated with serious medical and psychosocial health complications including risk for cardiovascular disease. Although the investigator's data suggest that disrupted or shortened sleep may be causally associated with increased energy intake and weight gain in children, and with self-regulation and neural response to food cues in adults, understanding of mechanisms involved in the sleep/eating association is incomplete, thereby impeding development of targeted, optimally timed intervention strategies. The proposed mechanistic clinical trial aims to assess the effects of an experimental sleep manipulation on eating-related self-regulation and its neural substrates, and on real-world eating behavior, among children with overweight/obesity, which will help guide research efforts towards the refinement of prevention and intervention strategies targeting sleep and its eating-related correlates to curb weight gain throughout development. Read Less

The aim of this project is to pilot test a novel mobile app intervention for adolescents with dysregulated eating behaviors and elevated weight status. This intervention will incorporate evidence-informed strategies targeting self-regulation into cognitive-behavioral treatment for maladaptive eating. Adolescents will use the app for 16 weeks and provide feedback on its usability and effectiveness in managing dysregulated eating. Read Less

The proposed study is an open label, non randomized, waitlist controlled single group feasibility study of the feasibility and usability of a digital intervention (called ChangeBite) to be used by individuals with obesity and comorbid binge eating behavior. The proposed research will include approximately 30 participants. Participants will be recruited for this single group pilot trial using online advertising to attend a virtual screening session. Screened participants willing and eligible to participate, will receive informed consent and formally start ChangeBite. Participants will be instructed to engage with ChangeBite and attend follow up assessments on scheduled video calls. Feasibility and acceptability of implementation will be assessed by collecting data on recruitment, retention, usability and satisfaction. The research team will also collect assessment data from participants on feasibility, and usability. In addition to self report scales, semi-structured interviews will be completed with a trained research team member via video call and will be partially recorded. Assessments will be done at baseline, 12 weeks, and 24 weeks. Participants' app use frequency and duration will be tracked using software analytics. Participants' body weight will be captured weekly using a timestamped picture of their weight as it appears on their scale and Body Mass Index will be calculated with these data points. Read Less

The purpose of this study is to identify the independent and combined effects of two types of self-monitoring and two types of micro-interventions when combined with standard cognitive behavioral treatment for bulimia nervosa (BN) and binge eating disorder (BED). The primary aims of this study are (1) to evaluate the optimal complexity of Self-Monitoring and Micro-Interventions on eating pathology (at post-treatment and at 6 and 12-month follow-ups and (2) to test the hypotheses that the optimal complexity level of each component is moderated by baseline deficits in self-regulation. The secondary aim will be to test target engagement for each level of complexity for each component, i.e., to test whether higher complexity of each technological components is associated with better rates of therapeutic skill use and acquisition and that improvements in skill use and acquisition are associated with improvements in outcomes. A final exploratory aim will be to quantify the component interaction effects, which may be partially additive (because components overlap and/or there is diminishing return), fully additive, or synergistic (in that component complexities may partially depend on each other). Read Less