What anthropometric parameters and lipid parameters predict abnormal glucose tolerance in the first-degree relatives of patients with type 2 diabetes?

Introduction First degree relatives of patients with type2 diabetes have a high risk of pre-diabetes and diabetes. We aimed to study the predictors of abnormal glucose tolerance in this category. Methods Previously healthy 157 first degree relatives of type 2 diabetes were studied. Age was noted and body mass index (BMI) was calculated. All underwent 75 gram standard oral glucose tolerance test (OGTT) and fasting lipid profile. Association of each independent variable (age, gender, BMI, total cholesterol, low density lipoprotein, triglycerides, and high density lipoprotein level) with impaired glucose tolerance (IGT) was studied with binary logistic regression as the 2 hour value of OGTT 140 mg / dL as the dependent variable. Results Majority (63%) of the sample were females. Mean (SD) age, BMI were 49.9(11) years and 23.5(3.6) kg/m2. 26/ 157 had IGT and 22 had diabetes on OGTT. Binary logistic regression revealed age and BMI as significant risk factors (Exp> 1 with p < 0.05) and total cholesterol and triglycerides as associations (Exp>1 with p >0.05) of IGT. Conclusions First degree relatives of type 2 diabetic patients with higher BMI and age are at increased risk of developing pre-diabetes and diabetes. Early screening to uncover abnormal glucose tolerance in this subcategory of individuals is warranted