In the August 2008 issue of Diabetes Care, researchers from the University of Texas Health Science Center at San Antonio, Texas, revealed from their study that a 1-hour oral glucose tolerance test (OGTT) is a strong predictor of the risk for type 2 diabetes.
The goal of this study is to evaluate the efficacy of 1-hour plasma glucose concentration and the metabolic syndrome to predict the risk for type 2 diabetes. The data they gathered was from the subjects who were enrolled in the San Antonio Heart Study (SAHS) and who had either a normal blood glucose level or with impaired glucose tolerance (IGT). IGT is diagnosed by determining the blood sugar level after a two-hour 75-g oral glucose intake. There were 2,616 eligible subjects with normal sugar levels. The sugar levels were take at baseline and 7 to 8 years after.
They assigned a cutoff level of 155 mg/dL for the 1-hour OGTT and used the Metabolic Syndrome criteria as laid out by the US National Heart, Lung, and Blood Institute's Adult Treatment Panel III (ATP-III). What they found are, among others:
- Persons with a 155 mg/dL or more after a 1-hour OGTT, there is a 32% risk for those with metabolic syndrome versus 9.4% without.
- Those with impaired glucose tolerance, a 37% risk for those with a level of 155 mg/dL or more after a 1-hour OGTT versus 10% for those who had less than
155 mg/dL. - In those with a level below 155 mg/dL after a 1-hour OGTT, there was a 3.2% risk for those with no metabolic syndrome and 7.8% for those who had metabolic syndrome.
For more info, click on the link below.
Oral Glucose Tolerance Test May Predict Risk for Type 2 Diabetes
Comment:
In essence, the following risk factors can have a high predictive value for future type 2 diabetes:
- The presence of an impaired glucose tolerance (IGT), using the two-hour 75-g oral glucose tolerance testing.
- A level of 155 mg/dL blood sugar or more after a one-hour 75-g oral glucose tolerance testing.
- The presence of the metabolic syndrome that includes: high blood pressure, a high fasting blood sugar, high cholesterol level, a low HDL (or good) cholesterol, high triglycerides, and obesity (waist circumference measurement).
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