View clinical trials related to Glucose Intolerance.
Filter by:Sedentary behaviour has a detrimental effect on the mortality, morbidity, and well-being of patients with type 2 diabetes and prediabetes, and general practitioners should advise patients on how to self-monitor and increase their physical activity. The emergence of mobile health (mHealth) technologies unlocks the potential to further improve physical behaviour using an innovative "just-in-time" adaptive approach whereby behavioural support is provided in real-time, based on data from wearable sensors. Thus, the investigators aim to evaluate the effect of a just-in-time mHealth intervention administered by general practitioners on the physical activity and sedentary behaviour of patients with type 2 diabetes and prediabetes. A total of 340 patients will be recruited from 20 general practices across the Czech Republic and randomly assigned to either an active control or intervention group. Both groups will receive brief physical activity advice from their general practitioners and a Fitbit fitness tracker to self-monitor their daily steps, but the intervention group will also receive a mHealth-enabled just-in-time adaptive intervention and regular monthly phone counselling in the first 6 months. The mHealth intervention will be delivered using a custom-developed system (HealthReact) connected to the Fitbit that will trigger just-in-time text messages. For example, a prompt to take a break from sedentary behaviour will be triggered after 30 sedentary minutes or a motivational message with a specific goal to take more steps will be triggered when the total step count is too low. The primary outcome will be the change in daily step count at 6 months, other outcomes include changes in other physical behaviour measures, blood tests, anthropometry and patient-reported outcomes at 6 and 12 months. If the intervention is effective, this study will provide a model of health prevention that can be directly implemented and commissioned within primary care using existing infrastructure.
This is a prospective, multicenter, parallel-group, participants- and assessors-blinded randomized trial aiming to evaluate the effectiveness and safety of acupuncture in improving glucose metabolism for overweight/obese Participants with IGT, in comparison with sham acupuncture.
The study aims to investigate the genetic basis of the response to short-term (3 months) orally administered semaglutide treatment, in terms of improving metabolic parameters, including the hormonal response to a standardized meal, and changes in body composition and liver steatosis. In the study, parameters such as fasting and 2-hour glucose during OGTT, HbA1c, body fat mass, body weight, total cholesterol, HDL and LDL, triglycerides, HOMA-IR, Matsuda Index and liver steatosis will be assessed. All the patients will undergo genome-wide genotyping. Moreover, in a subset of participants, muscle and fat biopsies will be performed, before and after the treatment, and liver, muscle and pancreas fat content will be assessed using MRI.
Initial Recruitment and Sensitization: In this free-living randomized control parallel arm study of 24 weeks of almond intervention, we shall recruit apparently healthy middle aged (age range 40-60 years)prediabetic Asian Indians having fasting blood glucose ≥100mg/dl and <126 mg/dl and /or 2-h plasma glucose ≥140mg/dl and <200mg/dl (after ingestion of 75-gram anhydrous oral glucose).
African Americans (AAs) have rates of diabetes mellitus (DM) twice that of Whites and are disproportionately affected by leading risk factors for DM - obesity and low-income. A critical strategy in the battle against DM is the Diabetes Prevention Program (DPP), an evidence-based intervention that significantly delays or prevents Type 2 diabetes through the promotion of diet change, exercise and modest weight loss. However, weight loss from the DPP among AAs is about half that of White participants, and suboptimal AA attendance is a critical contributor. The investigators propose to conduct a study that will address social determinants (SD) that challenge DPP attendance with underserved African Americans from a safety net hospital. The investigators will examine DPP attendance and weight loss with participants randomized to 3 groups: standard DPP, a culturally-tailored DPP to address acceptability, and a culturally-tailored DPP enhanced to address socioeconomic-related barriers to DPP participation. This novel study is the first to tailor the DPP to address SD cultural and socioeconomic barriers that limit DPP attendance and reduce its effectiveness on outcomes. The proposed multidimensional, SD tailored DPP has great potential to be a feasible and scalable model to reduce DM risks among urban, African Americans and ultimately reduce DM disparities.
This study aims to improve blood glucose and weight in patients with prediabetes and obesity through health education, nutritional supplement interventions, clinical evaluation, and close clinical follow-up.100 patients with prediabetes with obesity were randomly divided into 2 groups: life intervention group, nutritional supplement intervention group. All enrolled participants were recommended for routine diabetes lifestyle education according to the "Expert Consensus on Prediabetes Intervention in Adults in China". The duration of the intervention was 3 months. The investigators aimed to compare the differences in weight, glycosylated hemoglobin, lipids and other indicators of the two groups of included populations before and after the intervention. In addition, the investigators are to explore the effects of nutritional supplement interventions on glycolipid metabolism and body weight in prediabetes with obesity.
This research will test whether a standard version or very low-carbohydrate version of the Diabetes Prevention Program better improves outcomes like blood glucose control and body weight for patients with prediabetes. Participants will have screening (includes blood draw) and baseline testing with a continuous glucose monitor. Once these enrollment steps are completed and the participants will be randomized to one of two groups: standard National Diabetes Prevention Program (NDPP) or a very low-carbohydrate version. In addition to the diet (12 months) participants will be asked to participate in hour-long weekly group classes over zoom. After four months in the program, classes will occur about every month to help participants maintain the new diet. There will also be check-ins and follow-up visits through out the study.
The goal of the study is to examine the impact of an educational video on the rate of breastfeeding in mothers who had gestational diabetes mellitus, and the rate of type-II diabetes mellitus diagnosed postpartum.
Prediabetes is associated to an increased risk of cardiovascular disease and mortality. Although metformin can delay progression to diabetes there is a lack of RCTs evaluating the effect of metformin on cardiovascular outcomes. MIMET aims to investigate if addition of metformin to standard care has effects on the occurrence of cardiovascular events after acute myocardial infarction in patients with newly detected prediabetes (identified by oral glucose tolerance test, HbA1c or fasting glucose levels).
The prevalence of type 2 diabetes (T2D) has been rising rapidly with an increased burden to the healthcare system. As such T2D prevention is highly recommendable, and, theoretically, it can definitely be successful. However, though feasible T2D prevention is difficult to implement due to the heterogeneity of the disease that make response to population intervention (and treatment) only partially successful. Precision medicine aims to prevent chronic diseases by tailoring interventions or recommendations to a combination of a genetic background, metabolic profile, and lifestyle. Classification of individuals at risk into clusters that differ in their susceptibility to develop T2D may foster the identification of preventive interventions. Recent advances in omics technologies have offered opportunities as well as challenges in the use of precision medicine to prevent T2D. Moreover, new mobile health (mHealth) technologies have enhanced how diabetes is managed. However, little is still known about the effectiveness of mHealth technology as intervention tools for reducing diabetes risk.