View clinical trials related to Prediabetic State.
Filter by:This study is to analyze whether the SGLT2-inhibitor empagliflozin or the IL-1 receptor antagonist anakinra may improve postprandial hypoglycemia in subjects with prediabetes.
The purpose of this study is to investigate the effect of providing healthy foods and nutrition education on participants' body weight, blood pressure, and average blood sugar level. The healthy food offerings tested in this study will help determine which option is best to improve health outcomes among Cleveland Clinic Akron General patients with chronic conditions. Findings from this study could guide doctors in deciding on appropriate nutrition and dietitian services for Cleveland Clinic patients.
A pilot study titled "A Virtual Cardiometabolic Health Program for African Immigrants (The Afro-DPP Program) will be conducted to address the cardiometabolic of community-dwelling African immigrants who have multiple cardiometabolic risk factors including hypertension, Type 2 Diabetes, high cholesterol, and overweight/obesity. The proposed study will recruit a total of 60 participants and will use a non-equivalent control group design to test the effectiveness of the intervention at two African churches in the Baltimore, Washington, D.C. area. The two churches will be randomly assigned to the intervention or delayed intervention group. At the end of a 6-month follow-up period, the control church will receive the intervention (delayed control group). All participants will receive a Bluetooth-enabled digital scale (Omron Model: BCM-500) that measures body composition including Body Weight, Body Fat percentage, Visceral Fat, Skeletal Muscle percentage, Resting Metabolism and Body Mass Index. A Bluetooth-enabled blood pressure monitor (Omron Model: BP7250) will also be distributed to all participants. All participants will download the Omron Connect app which will allow the participants to sync participants' blood pressure readings and body composition readings into the app. The research team will access these readings to monitor study outcomes and participants progress during the follow-up period.
The purpose of this study is to assess the efficacy of adapting the National Diabetes Prevention Program (NDPP) to include recreational sports in effort to increase physical activity (PA) and promote lifestyle changes that can help reduce the risk of developing Type 2 Diabetes Mellitus. The hypothesis is that both the traditional NDPP and the NDPP+ Basketball will be considered feasible. The primary outcome is to assess whether the intervention (NDPP+BB) compared to the standard of care (NDPP only) will result in greater weight loss, lower A1c, and increased engagement in physical activity.
The purpose of this research study is to compare the effectiveness of a fully automated digital diabetes prevention program to standard of care human coach-based diabetes prevention programs for promoting clinically meaningful lifestyle changes to reduce the risk of type 2 diabetes in adults with prediabetes.
This trial studies the effect of exercise and nicotinamide riboside on muscle health and insulin resistance in adult survivors of childhood cancer with prediabetes (elevated blood sugar level that is not high enough to be considered diabetes). Nicotinamide riboside is a dietary supplement which is similar to vitamin B3. Information collected in this study may help the future development of regimens to improve metabolic outcomes such as muscle health and insulin resistance (when the body is not normally responding to insulin) in childhood cancer survivors.
With this study, researchers want to conduct ambulatory studies in which people (healthy, with T2D, or at-risk of T2D) will consume a variety of pre-set and conventional meals in free-living conditions while wearing one or more continuous glucose monitors (CGMs) and, to assess physical activity, a smart watch. With data from these devices, researchers will develop algorithms that can predict the content of a meal.
Participants who were previously Viome costumers who signed informed consent to participate and self reported type 2 diabetes or pre-diabetes were enrolled. They provided stool samples to VIOME and were provided with precision diet and supplement recommendations. The information obtained from this study is used to train a model to predict diabetes and/or risks of developing diabetes.
Many DM and pre-DM remain undiagnosed. The aim is to develop and validate a risk prediction function to detect DM and pre-DM in Chinese adults aged 18-84 in primary care (PC). The objectives are to: 1. Develop a risk prediction function using non-laboratory parameters to predict DM and pre-DM from the data of the HK Population Health Survey 2014/2015 2. Develop a risk scoring algorithm and determine the cut-off score 3. Validate the risk prediction function and determine its sensitivity in predicting DM and pre-DM in PC Hypothesis to be tested: The prediction function developed from the Population Health Survey (PHS) 2014/2015 is valid and sensitive in PC. Design and subjects: We will develop a risk prediction function for DM and pre-DM using data of 1,857 subjects from the PHS 2014/2015. We will recruit 1014 Chinese adults aged 18-84 from PC clinics to validate the risk prediction function. Each subject will complete an assessment on the relevant risk factors and have a blood test on OGTT and HbA1c on recruitment and at 12 months. Main outcome measures: The area under the Receiver operating characteristic (ROC) curve, sensitivity and specificity of the prediction function. Data analysis and expected results: Machine learning and Logistic regressions will be used to develop the best model. ROC curve will be used to determine the cut-off score. Sensitivity and specificity will be determined by descriptive statistics. A new HK Chinese general population specific risk prediction function will enable early case finding and intervention to prevent DM and DM complications in PC.
Currently, an estimated 3.9 million Malaysians continue to live with diabetes with many more who live with prediabetes. Diabetes was the one of the leading causes of death in the Malaysia and the leading cause for kidney failure, lower-limb amputations, and adult-onset blindness. Heart disease and stroke are two to four times more likely for individuals with diabetes. The use of mHealth or mobile health application can reduce blood sugar among individuals with prediabetes but also prevent a later occurrence of diabetes. In this study, the investigators aim to develop and evaluate the effectiveness of a digital health supported pre-diabetes management program based in an urban community pharmacy setting