View clinical trials related to Bulimia.
Filter by:This pilot project targets both binge drinking and binge eating behavior in college students through a mobile-based online program that provides students with evidence-based intervention material designed to reduce the incidence of both behaviors and encourage students to seek more formal in-person counseling.
Pregnancy is a time of heightened risk for disordered eating behaviors, which have been linked to adverse health outcomes in gestation, delivery, and the postpartum. These adverse outcomes may at least in part be mediated by greater risk of deviation from recommended gestational weight gain trajectories, especially in those engaged in binge and loss of control eating. This study will explore the efficacy of a single-session, self-guided online acceptance-based intervention targeting food cravings as powerful and modifiable predictors of binge and LOC eating in pregnancy.
The current study aims to evaluate the efficacy and feasibility of enhanced cue exposure therapy (E-CET) in reducing negative emotional eating, in comparison to an active control behavioral lifestyle intervention (BLI) in a double-blind, parallel, randomized controlled trial. The secondary aim is to evaluate whether changes in the four types of CS-US expectancy mediate the changes in NEE.
The aim of the SEMASEARCH project is therefore to constitute a retrospective cohort, from the available data on patients already included in the ATUc/AP2, and prospective, on new patients who will initiate treatment according to the AP2 PUT, of 15 Specialized Obesity Centers in order to describe the effect of WEGOVY® treatment in this population. Thanks to a high phenotyping, subpopulations of interest will be identified to know the specifics of the effect of the treatment in these subgroups of interest. Secondary analyses will aim to look for clinical or biological biomarkers of success in the weight response to WEGOVY® in the entire prospective cohort, but also in specific subpopulations. In summary, the analysis of the entire SEMASEARCH cohort and sub-populations of interest will be based on a complete clinical phenotyping of patients (included in retrospective and prospective studies), completed by ad hoc questionnaires and associated with biological markers (prospective) partly collected within the framework of the WEGOVY® AP (glycaemia, hepatic assessment, lipid assessment ) and partly from a biobank to test specific hypotheses (predictive role of leptin sensitivity, insulin sensitivity level, plasma level of endocannabinoids, etc.). In addition, approaches using artificial intelligence (AI), notably machine learning, will make it possible to determine the variables or combination of variables that are most predictive of the weight response to treatment with WEGOVY® in the largest population. Indeed, individual weight loss in response to weight loss strategies is highly variable, whether purely related to lifestyle changes or pharmacological. Well-known factors associated with the ability to lose weight include adherence to lifestyle change, gender, age and specific medications. However, after controlling for these factors, differences in weight loss appear to persist in response to different interventions including pharmacological ones. Adaptation to energy deficit involves complex feedback mechanisms, and inter-individual differences are likely to arise from a range of poorly defined factors. Thus, a better understanding of the factors involved in inter-individual variability in response to WEGOVY® will help guide more personalised approaches to the management of these patients. AI techniques will be used to determine which combination of clinical or biological variables are most predictive of weight response.
Craving is defined as an irrepressible urge to consume certain products and represents one of the key factors in severe substance use disorders, as illustrated by its recent inclusion as a diagnostic criterion in the most recent fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM 5). However, the pathophysiological models of craving remain debated. The "metacognitive hub model", a conceptual, experimental and clinical approach to craving, proposes that craving should be considered as the embedded consequence of the interaction between three components (the reflexive, automatic and interoceptive systems), each of which has an implicit and explicit element. This model links the three components by suggesting that metacognitive abilities, the ability to understand one's own cognitive functioning, may be a skill of individuals that allows them to make the three sub-components explicit or not. To date, the conception of eating disorders is increasingly similar to that of addictive disorders. Indeed, there is growing evidence that the symptomatology of bulimia nervosa and binge eating disorder can be considered in part as an "food addiction" and would fit the diagnostic criteria of an addictive disorder. Bulimia nervosa is an eating disorder (DSM 5) characterized by a cycle of binge eating and compensatory behaviors such as self-induced vomiting that tend to negate or compensate for the effects of the binge eating. Binge eating disorder (DSM 5) is characterized by a cycle of binge eating, but without the compensatory behaviors seen in bulimia nervosa. In addition, there are common neurological aspects as well as similar cognitions between these eating disorders and addictive disorders. Given the importance of craving in addictive pathology, it seems essential to address this issue in bulimia nervosa and binge eating disorder. The cognitive difficulties of patients with bulimia nervosa and binge eating disorder, which are close to the difficulties observed in patients with addictive behaviors, suggest that the "metacognitive hub model" could provide a clear and measurable theoretical framework of the different dimensions of craving. The overall objective of this project is to explore the relationship between the level of craving induced by food picture exposure and the level of impairment of the reflexive, automatic, interoceptive, and metacognitive systems in women with bulimia nervosa and binge eating disorder and to compare these impairments according to the nature of the eating disorder (i.e., binge eating versus bulimia nervosa). Our hypotheses are: 1. the induction of food craving will affect the reflexive, automatic, and interoceptive systems of patients with bulimia nervosa and binge eating disorder. 2. the magnitude of the effect of food craving induction on implicit craving and explicit craving will be modulated by the participants' metacognitive abilities.
Eating disorders with binge eating as the core feature include bulimia nervosa (BN) and binge eating disorder (BED). In recent years, the prevalence rate has increased rapidly, mostly among women, accompanied by emotional problems, physiological complications and increased risks of obesity and depression, which bring great pain to patients. Enhanced Cognitive Behavioral therapy (CBT-E) for eating disorders is an evidence-based and effective first-line psychotherapy for BN and BED. CBT-E is implemented in various forms. In addition to face-to-face therapy, online group CBT-E and guided self-help CBT-E can significantly reduce binge eating in BN and BED patients. However, there are no relevant clinical studies in China. Since 2008, the applicant has carried out CBT treatment and research on eating disorders, translated and published the self-help book "Overcoming Overeating", and accumulated rich clinical research experience. This study intends to establish a set of CBT-E self-help therapy courses suitable for Chinese binge eating patients, and conduct a randomized controlled study of web-based guided self-help CBT-E and online group CBT-E to compare the effectiveness of the treatment modalities in the treatment of binge eating and the feasibility of online guided self-help CBT-E and online group CBT-E in the treatment of binge eating.
Binge-eating behavior is a central feature of eating disorders (e.g., binge-eating disorder, bulimia nervosa, anorexia nervosa-binge-eating/purging subtype) and is associated with higher rates of psychopathology, psychosocial impairment, medical comorbidity, and more severe obesity, all of which pose significant public health problems. Passive detection of binge eating episodes combined with a context-based reminder intervention could assist a patient in resuming healthy eating patterns. This study will test a smartwatch app that identifies binge eating behavior and provides CBT strategies to the patient after the episode.
The primary goal of this study is to elucidate the impact of disorder provocation on the efficacy of TMS for the treatment of BED. In order to meet this objective, the investigators propose to evaluate this relationship in using a crossover study. Secondary objectives of this study include determining whether TMS with or without BED symptom provocation has effects in altering neurophysiology as detected by fMRI.
The purpose of this 6-month randomized clinical trial is to examine the feasibility of recruitment, attendance, retention, program adherence, and satisfaction of a digital application designed, Centering Appetite to improve glucose scores (HbA1c) and binge eating in African American adults with type 2 diabetes. Intervention participants will receive type 2 diabetes education and web-based lessons on appetite self-regulation. Participants will also receive a Fitbit to monitor daily physical activity. The investigators will follow up with participants at six months.
More than 30% of Black women with obesity binge eat. Binge eating may increase the risk for the development of metabolic syndrome and binge-eating-disorder (BED), which is associated with severe obesity. Though several effective treatments for binge eating exist, Black women have not fared well. Not only has their inclusion in treatment trials been limited, but when participating, they are more likely to drop out, and/or lose less weight, compared to their White counterparts. Furthermore, treatment for binge eating is often not available in primary care and community-based settings places where Black women are more likely to receive treatment for their eating and weight-related concerns. Currently, there is scant intervention research to treat binge eating in Black women. With the highest rates of obesity (57%) nationally, Black women are in need of culturally-relevant treatments for binge eating and weight gain prevention. Given the established relationship between frequent binge eating and subsequent weight gain, addressing binge eating among Black women with obesity is imperative.