The Indian Diabetes Risk Score was initially developed by the Madras Diabetes Research Foundation (MDRF-IDRS) to help detect undiagnosed Type 2 diabetes (T2DM) in the community. Soon it was found that the MDRF-IDRS could also help to predict incident diabetes, metabolic syndrome, coronary artery disease (CAD), non-alcoholic fatty liver disease as well as sleep disorders in the community. It hel...

RESEARCH DESIGN AND METHODS — A random population sample of 35to 64-year-old men and women with no antidiabetic drug treatment at baseline were followed for 10 years. New cases of drug-treated type 2 diabetes were ascertained from the National Drug Registry. Multivariate logistic regression model coefficients were used to assign each variable category a score. The Diabetes Risk Score was compos...

The aim of this study of Asian Indian migrants in New Zealand was to determine cut-off points for body mass index, waist circumference, waist-to-hip ratio, and waist-to-height ratio that best discriminate for increased risk of type 2 diabetes and cardiovascular disease. One hundred and seventy-five (90F, 85M) Asian Indian volunteers (aged >50 y) were recruited from urban Auckland, New Zealand. ...

Purpose India has over half a million diabetics, with many others at risk. The Indian Diabetes Risk Score (IDRS) is simple and validated tool used for mass screening of diabetes mellitus type 2 the community level. This study assessed vulnerability developing in adults rural West Bengal using IDRS finds out relationship risk socioclinical variables. Design/methodology/approach Multi-stage sampl...

background: The urban poor is a group that is known to be vulnerable to adoption of a more urbanized lifestyle that places them at a higher risk for diabetes. Individuals who are unaware of their disease status are more prone to microand macrovascular complications. Hence, it is necessary to detect this large pool of undiagnosed participants with diabetes and offer them early therapy. The aim o...

Background: Diabetes is a prevalent chronic disease around the world. To evaluate risk of diabetes comprehensively, we developed a score model for the risk prediction with HDL-C as a protective factor. Methods: We extracted physical examination data of 2728 individuals. The data contain 18 demographic and clinical variables. To identify the statistical significant feature variables, the backwa...