View clinical trials related to Diet Modification.
Filter by:Increasing evidences suggest that infections are important etiological factors for the development of Type 1 Diabetes (T1D). The overall hypothesis of the study is that the treatment of children, during the first year after diagnosis of T1D with Azithromycin, combined with repeated episodes of intensified insulin treatment to induce maximal beta-cell rest, and dietician support to promote dietary habits that minimize the likelihood of bacterial reflux from the duodenum to the pancreatic duct, will lead to preservation of beta cell function. This trial will examine whether the AIDIT protocol initiated within one week from diagnosis could preserve insulin production in children with Type 1 Diabetes.
The purpose of this study is to see how a diet that mimics fasting effects inflammation in patients with mild to moderate Ulcerative Colitis (UC). The diet may allow users to receive the benefits of fasting while also being able to enjoy food (the ingredients of which are GRAS (generally recognized as safe) by the Food and Drug Administration (FDA). Research on dietary interventions and UC are very limited. Fasting mimicking diets (FMD) have been studied with support of the National Institute of Health and published in leading journals. This research investigates whether markers of inflammation decrease and/or quality of life increases after three cycles of a five-day period of the fasting mimicking diet, and may provide rationale for its use to treat UC.
The foods we eat - our diet - can affect whether we develop diseases during our lives, such as diabetes or heart disease. This is because the amount and types of foods we eat can affect our weight, and because different foods are metabolised (processed) by the body in different ways. Scientists have also found that the bacteria in our guts (the gut microbiome) affects our metabolism, weight and health and that, together with a person's diet and metabolism, could be used to predict appetite and how meals affect levels of sugar (glucose) and fats (lipids) found in blood after eating. If blood sugar and fat are too high too often, there's a greater chance of developing diseases such as diabetes. The gut microbiome is different in different people. Only 10-20% of the types of bacteria found in our guts are found in everyone. This might mean that the best diet to prevent disease needs matching to a person's gut microbiome and it might be possible to find personalised foods or diets that will help reduce the chance of developing chronic disease as well as metabolic syndrome. The study investigators are recruiting volunteers aged 18 years or over from the TwinsUK cohort to take part in a study that aims to answer the questions above. The participants will need to come in for a clinical visit where they will give blood, stool, saliva and urine samples. The participants will also be given a standardised breakfast and lunch and fitted with a glucose monitor (Abbott Freestyle Libre-CE marked) to monitor their blood sugar levels. After the visit, the participants will be asked to eat standardised meals at home for breakfast for a further 12 days. Participants will also be required to prick their fingers at regular intervals to collect small amounts of blood, and to record constantly their appetite, food, physical activity and sleep using apps and wearable devices.
Obesity is currently considered an increasingly more severe social and health related problem. The World Health Organization qualified obesity as a chronic disease along with circulatory diseases, diabetes, cancer and respiratory diseases. The principal physiological methods of treatment for this disease are diet and exercise. The aim of the study is assess anhtropometric parameters, metabolic and proteomic profile and respiratory truck function in obese patients reducing body weight during 21 days course of calorie restriction and physical activity.
In 1986, The Pioneer Valley in Western Massachusetts was home to one of the first two community supported agriculture (CSA) businesses in the USA. In 2014, there were 6,200 CSAs across the states, and today, in the Pioneer Valley alone, there are sixty CSAs. As with many parts of the United States, there are too many CSAs competing for the same pool of middle and upper-class customers. In his research at the University of Massachusetts in 2014, Mark Paul stated CSA farms are trapped in a lose-lose conundrum in which the farmers are not making enough money for a living wage, while simultaneously CSA shares are too expensive for many community members. The central challenge facing the CSA model moving forward is to provide fair compensation to farmers and farm workers, while making shares available at prices that can attract more members of the community. "(Im)Proving the CSA Model" proposes to increase consumption of and access to local products AND to develop new market opportunities for farms by opening the CSA membership base nationwide to low-income consumers and more price conscious middle class consumers. The investigators will do this by researching and documenting the health benefits of belonging to a CSA program. The investigators expect the resulting data to justify insurance-provided cash "wellness" benefits for CSA participation, much like those currently provided for gym membership. A wellness benefit will provide the financial incentive necessary to open CSA programs to lower- and middle-income consumers. The two-year research study intends to demonstrate that enrolling community health center patients in a Community Supported Agriculture (CSA) program is feasible and leads to dietary improvements that would be expected to offer clinical benefits in larger scale studies over longer timeframes. To maximize the knowledge gained from participation in this study, the investigators will measure several self-reported, laboratory, and clinical outcomes, but the primary purpose of this study is to provide pilot data for the model. To test this the investigators will implement a randomized controlled clinical trial design, with individual-level randomization of 120 participants, assigned in 1:1 ratio to receipt of a CSA membership (goal: 60 participants) or enhanced usual care (goal: 60 participants).