View clinical trials related to Weight Loss.
Filter by:This project capitalizes on principles of control systems engineering to build a dynamical model that predicts weight change during weight loss maintenance using behavioral, psychosocial, and environmental indicators evaluated in a system identification experiment. A 6-month behavioral obesity treatment will be administered to produce weight loss. Participants losing at least 3% of initial body weight will be followed for an additional 12 months via daily smartphone surveys that incorporates passive sensing to objectively monitor key behaviors. Survey data pertaining to behavioral, psychosocial, and environmental indicators will be used to develop a controller algorithm that can predict when an individual is entering a heightened period of risk for regain and why risk is elevated. Interventions targeting key risk indicators will be randomly administered during the system ID experiment. Survey and passive sensing data documenting the effects of the interventions will likewise drive development of the controller algorithm, allowing it to determine which interventions are most likely to counter risk of regain.
To evaluate the improvement in weight, body fat, and BMI after adding probiotics as a once-daily therapy for 84 days in overweight individuals.
In this project, investigators plan to conduct a randomized control trial of a weight loss intervention that is remotely delivered via SNS among the obese adult patients (20-64 years old, BMI ≥ 27 kg/m2) recruited from weight control clinic in a tertiary medical center in Taipei. Investigators will survey the participants' baseline characteristics at different dimensions including personal, behavioral, physiological, socio-environmental factors. Participants will be randomly assigned to a 16-week weight loss program of either enhanced intervention via Facebook group or standard intervention. After the intervention, the participants will be followed until 2 years after enrollment. Investigators will measure participants' change in weight as well as change in attitude, behavior, and physiological along the follow-up periods. Investigators proposed specific study aims as following: (1) Demonstrate the characteristics of the obese patient who visiting weight-control clinics at behavioral level, physiological level, and social level. (2) Implement an enhanced weight loss intervention by using SNS with personalized feedback (3) Investigate the social influence and the interaction between participants in the social networking site (4) Test the hypothesis that, compared with a standard behavioral weight loss intervention, the enhanced intervention would result in greater weight loss and physical benefit (5) Test the hypothesis that, the enhanced intervention would result in improvement on heath attitude, literacy, or behavior and minimize the attrition of weight loss program (6) Explore the trajectory of individual characteristics throughout the treatment course (7) Explore the predictor or correlate of successful weight loss, maintenance and attrition (8) Investigate the interrelationship between different behavioral, physiological, and environmental factors and their composite effect on weight loss (9) Refine the intervention and develop a further effective and individualized behavior intervention for weight loss
Obesity and cardiometabolic risks are significant public health issues, with about two-thirds of U.S. adults overweight or obese. Weight loss can prevent these health problems, but current lifestyle interventions have limited success. New, effective strategies are needed to address this rising issue at the population level. The goal of this clinical trial is to investigate how a behavioral intervention combined with technology impacts weight loss in young adults. The main questions it aims to answer are: - How does the combination of behavioral intervention and technology influence weight loss in young adults? - How does the combination of behavioral intervention and technology influence energy intake in young adults?
Obesity is a complex chronic disease, in which both genetic and environmental factors are involved, that shows a great heterogeneity in the response to different weight loss programs. Identifying patients as responder or no responder to the different obesity treatment options is a concept of great interest, both due to the high prevalence of obesity and its high consumption of resources. More than 500,000 surgeries are performed every year around the world, of which approximately 30% will present unsatisfactory results. The general objective is to carry out a multi-omics approach for the discovery and validation of markers of weight response to bariatric surgery (BS) in a large sample of people with severe obesity (n=6,966 men and women who underwent sleeve gastrectomy or gastric bypass, including an additional external validation set). Thus, the investigators want to know the integrated contribution of several genomic markers (Genome Wide Association study, GWAs), new clinical and analytical variables (human exposome concept) and gender perspective to the prediction of response to the intervention at 12 month and its long-term longitudinal maintenance (3 years). The investigators intend, therefore, to provide new evidence to advance towards precision medicine. The investigators will focus our attention also on identifying those patients who, after being classified at the weight loss nadir as responders experienced weight regain.
This trial is conducted in China. The purpose of the 24-week trial is to investigate the efficacy of henagliflozin to induce body weight loss and the purpose of the extension is to evaluate the hypoglycemic effect of henagliflozin in obese subjects without diabetes. Trial has the following two periods: 1) A 12-week randomized, double-blind, placebo-controlled, multi-center trial for evaluating the efficacy of henagliflozin to induce body weight loss; 2) A 12-week multicenter randomized controlled open-label trial for evaluating the hypoglycemic effect of henagliflozin followed by a 24-week extension period.
Metabolic-dysfunction associated steatotic liver disease, often referred to as "fatty liver disease", is a leading cause of liver failure. Dietary weight loss is a cornerstone of treating fatty liver disease, but access to traditional in-person nutritional education is often limited by cost, availability, and transportation. Immersive virtual reality (iVR) has the potential to not only overcome these barriers, but also provide an interactive learning experience, such as measuring and preparing foods. Therefore, the investigators have created and validated an iVR dietician program known as the Immersive Virtual Alimentation and Nutrition (IVAN) using evidence-informed practices from the Academy of Nutrition and Dietetics. The goal of this project is to translate the IVAN program from human and patient research to practice and community research. The investigators plan to accomplish this by performing a randomized clinical trial evaluating the effect of the IVAN program in combination with synchronous audio/video dietary counseling on self-reported dietary intake and weight compared to in-person counseling. Concurrently, the investigators will provide a survey assessing implementation outcomes to both groups as well as the dietician at each study visit, and crossover the intervention at study completion so all participants assess the IVAN program. Additionally, the investigators will have clinic health care providers experience the IVAN program and assess implementation outcomes.
Metabolic syndrome and resulting downstream health effects remains a growing health concern. In published trials, the use of continuous glucose monitoring (CGM) assists behavioral changes efforts, leading to improved adherence and results from diet and exercise changes in individuals with obesity. Mobile health (mHealth) platforms provide satisfactory, easy-to-use tools that help participants in the pursuit of weight change goals. The investigators hypothesize that the use of CGM data and targeted coaching and nutrition education will assist with weight optimization goals in the general (non-diabetic) population using the Signos mHealth platform, with associated health benefits.
This study aims to conduct a feasibility trial to examine the feasibility and acceptability of conducting a randomized controlled trial that evaluates the effect of the weight management intervention on anthropometric measures (body weight and BMI), dietary quality, physical activity levels, physical and psychosocial functioning, self- efficacy for weight loss and quality of life.
The incidence of childhood obesity is increasing, followed by metabolic diseases related to overweight and obesity in children. High intensity interval training (HIIT) has recently been shown to improve the body composition and cardiovascular health of obese children. Currently, there is little evidence on the impact of exercise intensity on endocrine and metabolic indicators and quality of life in obese children. The main purpose of this study is to compare the effects of short-term supervised high-intensity interval training and moderate intensity continuous training (MICT) on metabolic indicators in obese children under an energy limited balanced diet. A multicenter prospective randomized controlled trial was conducted on 388 obese children in South China. The experimental group will be randomly assigned to (1) HIIT and energy limited balanced diet, and (2) MICT and energy limited balanced diet. The experimental group will participate in a 3-month (supervised) exercise training. The measurement of the study endpoint will be followed up at baseline, 3 months (after supervised intervention), 9 months, and 1 year. The primary endpoint is the percentage of weight loss (△ Wt%). Secondary endpoints include waist to height ratio, body mass index (BMI), body fat percentage, insulin resistance index (HOMA-IR), insulin secretion index (ISI), and Δ HtSDSBA. The results of this study will generate a wealth of information on the impact of exercise intensity on weight loss and endocrine metabolism in obese children, and develop more effective evidence-based exercise prescription guidelines in this population.