ABSTRACT
<p><b>INTRODUCTION</b>In this study, we sought to determine whether insulin resistance, which is investigated by homeostatic modelling, is related to slow coronary flow (SCF).</p><p><b>MATERIALS AND METHODS</b>A total of 24 patients with SCF (4 females/20 males, mean age 47 +/- 12 years) and 32 patients with normal coronary artery (10 females/22 males, mean age 52 +/- 12 years) were included in the study. Baseline glucose, insulin and plasma lipid levels were measured. A standard oral glucose tolerance test (OGTT) was performed and post-challenge insulin levels were also measured. The index of insulin resistance was calculated with the homeostatic modelling [homeostatic model assessment for insulin resistance index (HOMA-IR)].</p><p><b>RESULTS</b>There were no differences between the 2 groups with regard to age, lipid levels, blood pressure levels, history of smoking, fasting and post-challenge plasma glucose. Baseline insulin levels were augmented in the SCF group (9.64 +/- 5.93 vs 7.04 +/- 3.26, P = 0.041). HOMA-IR levels were not different between the study groups (2.20 +/- 1.44 vs 1.69 +/- 0.86, P = 0.129). Manifest insulin resistance was significantly higher in the CSF group as compared with the control group (25% vs 3%, P = 0.01).</p><p><b>CONCLUSION</b>Manifest insulin resistance is seen more frequently in patients with SCF.</p>
Subject(s)
Female , Humans , Male , Middle Aged , Blood Flow Velocity , Blood Glucose , Blood Pressure , Body Mass Index , Coronary Circulation , Physiology , Glucose Tolerance Test , Homeostasis , Insulin , Blood , Insulin Resistance , Physiology , Lipids , Blood , Models, BiologicalABSTRACT
The objectives of this study were to determine the prevalence of diabetes mellitus in Nilufer District, Bursa, Turkey using standardized diagnostic criteria to investigate associated factors, and to determine the risk groups for a preventive public health program. This cross-sectional study was conducted in Nilufer Public Health Training and Research Area, Bursa Province in Turkey. The study population of 727 persons [382 women and 345 men] were selected by a random sampling method. The response rate was 80.6%. According to the fasting blood glucose levels of the 727 subjects, 44 [6.1%] were diabetic. In this study, the prevalence of known diabetes was 5.0%, and the prevalence of previously undiagnosed diabetes was 1.1%. The ratio of previously undiagnosed to known diabetes was 1:5. Multivariate logistic analyses showed that age [50 and over], family history of diabetes, hypertension and overweight [BMI > 25.0 kg/m2] were risk factors for type 2 diabetes [P < 0.05] in Nilufer District. A public health program in the district should be aimed primarily at these risk groups. The people in the risk groups should be registered and followed-up in a program aimed at preventing overt diabetes. The program can also provide efficient therapy if needed