Worldwide the prevalence of diabetes amongst other chronic diseases is increasing. To facilitate diabetes management in a community setting for rural Indian populations, IKP Centre for Technologies in Public health (ICTPH) conducted a baseline survey in 2008-09, leading to the emergence of their diabetes risk profile.
A cross-sectional census survey across three villages in rural Tamil Nadu with a total of 3600 individuals aged above 18 years with Casual Plasma Glucose (CPG) and Body Mass Index (BMI) were made available for analysis. Percentages were used in risk profiling the samples and estimating diabetes prevalence. Using a scatter plot a framework was developed to categorise the samples into nine categories.
The prevalence of diabetes with CPG >200 mg/dl was 1.5% and that of pre diabetics with CPG 140 – 199 mg/dl was 4.0%. The risk profiling identified three broad groups based on CPG values and with the addition of BMI each group was further classified making a total of nine categories for the total population.
This paper details the methodology, and highlights CPG coupled with BMI as a convenient method of screening large segments of a population to estimate the burden of diabetes and risk profile the populations to promote targeted preventive and follow-up strategies.
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