Active clinical trials for "Overweight"

This study will investigate how some artificial sweeteners (AS) cross from blood to breastmilk in breastfeeding women after oral intake. Moreover, it will be investigated whether the kinetics of AS differ based on the women's body composition (BMI) and metabolic status (diabetes). This will be investigated through a clinical trial in which 60 women divided into three groups (normal weight, overweight and diabetic) will drink a beverage containing four AS. over a period of six hours the women will donate blood and breast milk samples in order to investigate the presence of AS.

New advances in information computer technology and artificial intelligence (AI) offer the possibility to create a personalized tool and support system for healthy living and eating, and this is the principal objective of the PROTEIN Project (an EU-funded consortium; Horizon 2020). In order to obtain information on the acceptability, usability and its effectiveness at facilitating behaviour change of the application within the home and store. A pilot trial will be conducted in participants who are overweight (BMI 25-29.9 kg/m2) and a separate group of participants who consume a low quality diet (low in fruit and vegetable intake) and/or have a nutrition deficiency (specifically iron-deficiency anaemia). During this study the subjects will be asked to attend the lab (or remotely due to covid restrictions) at the beginning of the study for baseline measurements and instructions on how to use / download the mobile application. Participants will have their anthropometrics measured (including height/ weight/ waist: hip circumference). The PROTEIN application will collect self-reported data from the user, which includes: user profile input, dietary and fluid intake, daily physical activity (such as step count), biochemistry, sleep and chewing (in- meal behaviour). Information on how users will interact with the app, which screens they use, how many log ons and how often data is inputted will also be collected. Throughout the trial, the participants will be contacted via the application or by the researchers to request feedback on their progress and to encourage reporting of any issues. Health care professionals will also be recruited to test the expert dashboard of the PROTEIN app. Through this system they will be able to provide nutrition/ physical activity advice directly to their patients and input their relevant biochemical results (such as haemoglobin for anaemic patients).

Worldwide, 13% of the population had obesity in 2016 and overweight and obesity are recognized as the fifth leading risk factor for death (roughly 5 million deaths per year). In the United States alone, a recent study predicts that over half of the population will have obesity in 2030. At the global level, overweight and obesity are also estimated to account for 44% of diabetes, 23% of heart disease and between 7% to 41% of cancer cases, in addition to numerous other pathologies, including neurological disorders. While obesity and overweight are classified as a general disease (i.e. a body mass index (BMI) above 25 kg/m2 or 30 kg/m2, respectively), there are large variabilities between classifications of obesity observed. For example, sub-populations of obesity present either a rapid or delayed onset of other chronic diseases, such as diabetes or cardiovascular disease. Many studies show that lifestyle interventions are effective in improving overweight and obesity through weight loss, but with very large inter-individual variability, especially in the long-term. These interventions and the respective observed weight loss are also shown to reduce the risk of other cardiovascular or metabolic diseases, demonstrating the importance of weight loss for future quality of life Interestingly, there is a large variation in weight loss when implementing the same dietary or lifestyle changes, even when many factors are accounted for in clinical studies. Similar variable weight loss or metabolic responses are also observed for other obesity treatments, such as pharmaceutical or surgical interventions. Therefore, in order to prevent and treat overweight and obesity, it is critical to progress in the understanding of individual variations in responses (trajectories) to weight loss programs. While biological, environmental, and behavioral factors indeed drive personal responses, recent advances have allowed more insight into how the human body processes these stimuli, namely through microorganisms inhabiting the gastrointestinal tract. Over the last 10 years, the gut microbiota, the 100 billion bacterial cells inhabiting our intestines, has emerged as a recognized factor contributing to our health. Given its access to the food and medicine consumed by an individual, the gut microbiota can be seen as a "super integrator" highly sensitive to our environmental and lifestyle changes. Accumulating evidence has highlighted that the gut microbiota translates these environmental changes by altering its diversity of bacteria or functions and producing molecules that interact with organs and the brain. As part of a weight loss program conducted within the standard of care in a network of clinical centers across France, the investigators set out to establish a cohort to examine the relative contribution of clinical, nutritional, and lifestyle factors related to individual's weight loss success with an emphasis on evaluating the gut microbiome of individuals. Within this context, the investigators are testing whether an individuals' microbiota profile before the real-life dietary intervention influences weight loss responses and changes in metabolic health parameters to a standardized weight loss diet.

There remain important barriers to the translation of the programs like the Diabetes Prevention Program to public health. There is a lack of established lifestyle intervention programs as they are resource and time intensive, exceeding both the resources and the training of most primary care providers. A solution may be the implementation of lifestyle intervention programs in the community setting that are unrelated to primary medical care. A community based program at a public facility may extend the reach of lifestyle intervention to those unable to obtain these services from an established medical facility. Community lifestyle intervention to modify dietary, physical activity, and behavioral factors may be a promising strategy for weight management and the reduction of risk for metabolic disease. In this validation study we will assess pre and post intervention to identify whether measurable changes can be detected in body weight, body composition, markers of metabolic disease and quality of life after participation in the "Healthy Creations", a community based lifestyle intervention program presented by Center Court Fitness Center of the Grand Forks Park District and Altru Health System.

Barley, like oats, is a rich source of the soluble fibre β-glucan, which has been shown to significantly lower LDL-cholesterol (LDL-C). However, barley foods have been less widely studied.

Overweight and obesity are highly significant clinical and public health issues, affecting more than two-thirds of adults in this country; however, primary care clinicians often do not document overweight or obesity or discuss weight management with their patients. The objectives of the proposed research are to develop and evaluate a set of tools within electronic health records (EHRs) to assist primary care clinicians with the diagnosis and treatment of overweight and obesity and to help patients manage their weight.

Evidence indicates that almond consumption is associated with multiple health benefits. However, nuts are commonly excluded from diets on the basis that their high energy content may induce weight gain. Evidence from numerous studies show that this is not the case, yet the mechanism responsible for the less than predicted effect on weight is unknown. This study aimed to examine the effects of increased mastication on lipid bioavailability and satiety related peptide released in humans. Its purpose is to provide valuable mechanistic data to support the results from previous completed clinical studies.

The purpose of this study is to determine if 14-19 year old African American adolescents are able to take a daily vitamin D supplement daily for about 4 months and how well a daily dose of 400 IU or 2000 IU vitamin D supplement raises their vitamin D blood level.

This study will provide data on the response over 24 months to two commercial weight loss programs (center-based and telephone-based) compared to control conditions.

Rationale: The global prevalence of diabetes, along with its devastating effects on life expectancy and quality of life, continues to increase. Worldwide, the total number of people with diabetes is projected to rise from about 171 million in 2000 to 336 million in the year 2030. Type 2 diabetes accounts for about 85 percent to 95 percent of all diagnosed cases of diabetes and is associated with a number of serious long-term complications, which are a major cause of morbidity, hospitalization and mortality in diabetic patients. More evidence is becoming available that both lifestyle and clinical intervention in the pre-diabetic condition are effective in slowing down progression of pre-diabetes to overt diabetes. Over many centuries, several forms of traditional medicine have developed which are often based on fundamental principles that differ from those of "Western" medicine. One of the most prominent characteristics of Traditional Chinese Medicine (TCM), is a more holistic approach to the functioning and disfunctioning of living organisms. Every healthy organism is in a Yin Yang balance and is considered to be a complex interplay between body and mind. Western medicine relies on detailed classification of diseases, empirical investigations and treatments targeting those disorders. However, "Western medicine" is showing an increased interest in traditional forms of medicine. Objectives: The primary objective of the present study is to determine consistency in classification of DM type 2 in three categories as defined by Traditional Chinese Medicine (TCM) in pre-diabetic subjects. Secondary objectives are to find relationships between diagnosis according to TCM and risk profile according to Western approach (fasting glucose and HbA1c in plasma, age, BMI, waist circumference). Another objective is to find relationships between classification of risk for DM type 2 according to TCM and objective parameters.