Cardiovascular Disease, Hypertension, Obesity, Prediabetes
Conditions
Brief summary
1. To develop a database containing matched information from dynamic tests of postprandial glycemic control (OGTT or MMTT), results of a broad panel of fasting biomarkers, and clinical information related to diabetes risk obtain through subject interview. 2. To use the database to identify fasting biomarkers and associated algorithms to best predict parameters derived from dynamic tests (OGTT or MMTT) such as Insulin Glucose Tolerance (IGT), impaired first phase insulin response, etc., controlling for clinical information such as current medication use.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* Weight \>95
Exclusion criteria
* Prior diagnosis of Diabetes
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Identify fasting biomarkers and associated algorithms to predict parameters | Baseline | To assess relations between baseline factors and patterns of change over time due to feeding treatments. |
Countries
United States