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Background & objectives: Screening of individuals for early detection and identification of undiagnosed diabetes can help in reducing the burden of diabetic complications. This study aimed to evaluate the performance of Madras Diabetes Research Foundation (MDRF)-Indian Diabetes Risk Score (IDRS) to screen for undiagnosed type 2 diabetes in a large representative population in India. Methods: Data were acquired from the Indian Council of Medical Research–INdia DIABetes (ICMR–INDIAB) study, a large national survey that included both urban and rural populations from 30 states/union territories in India. Stratified multistage design was followed to obtain a sample of 113,043 individuals (94.2% response rate). MDRF-IDRS used four simple parameters, viz. age, waist circumference, family history of diabetes and physical activity to detect undiagnosed diabetes. Receiver operating characteristic (ROC) with area under the curve (AUC) was used to assess the performance of MDRF-IDRS. Results: We identified that 32.4, 52.7 and 14.9 per cent of the general population were under high-, moderate- and low-risk category of diabetes. Among the newly diagnosed individuals with diabetes [diagnosed by oral glucose tolerance test (OGTT)], 60.2, 35.9 and 3.9 per cent were identified under high-, moderate- and low-risk categories of IDRS. The ROC-AUC for the identification of diabetes was 0.697 (95% confidence interval: 0.684-0.709) for urban population and 0.694 (0.684-0.704) for rural, as well as 0.693 (0.682-0.705) for males and 0.707 (0.697-0.718) for females. MDRF-IDRS performed well when the population were sub-categorized by state or by regions. Interpretation & conclusions: Performance of MDRF-IDRS is evaluated across the nation and is found to be suitable for easy and effective screening of diabetes in Asian Indians. [ABSTRACT FROM AUTHOR]

Background & objectives: The objective of the study was to determine whether visceral or subcutaneous component of abdominal fat was associated with insulin resistance and metabolic syndrome in non-diabetic Asian Indians. Method: This cross-sectional study had on 120 individuals with normal glucose tolerance (49 males and 71 females). A single slice CT scan at L4- L5 was done for measurement of visceral and subcutaneous abdominal fat. Metabolic syndrome was defined according to the South Asian Modified National Cholesterol Education Program Adult Treatment Panel III criteria (SAM-NCEP) criteria. Insulin Sensitivity Index (ISI-Matsuda) was used to assess insulin sensitivity/resistance. Results: Linear regression analysis revealed that visceral, but not subcutaneous fat was associated with serum triglycerides (R²=0.457, β= 0.34; P=0.006), HDL cholesterol (R²=0.430, β= -0.051; P=0.018) and ISI-Mutsuda (R²=0.437, β= -0.05; P=0.039) after adjusting for age, gender and BMI. Visceral fat showed significant association with metabolic syndrome (OR: 1.013, 95% CI: 1.001- 1.025; P=0.041) even after adjusting for age, gender, body mass index and glycated haemoglobin whereas subcutaneous fat did not show such an association. Interpretation & conclusions: These results indicate that in non-diabetic Asian Indians, visceral, but not subcutaneous component of abdominal fat is associated with insulin resistance, cardiovascular risk factors and metabolic syndrome. [ABSTRACT FROM AUTHOR]