Detection of Possible Determinants for Prediction of Risk for Cardiovascular Disease in the Rural Population of Central India: A Cross-Sectional Study

Estimation of risk for the coronary heart disease (CHD) in population involves identification of those persons at high risk. This provides a cost-effective prevention strategy against CHD-associated health burden in the resource-poor countries including awareness and lifestyle changes. Towards this end, a cross-sectional study including 572 subjects was carried out in rural population of Wardha during 2017-19 to detect at-risk individuals and its underlying determinants. The study population was then stratified in following categories of CHD risk group by definitions used from Framingham's risk score online calculator; low risk 20%. Of total 572 subjects, 47.7% population were female and 52.3% were male. Majority of population is involved in physical work except 1.4% of population belonging to service class. As per definitions of HOMA indexing, 92% (517) of study subjects did not have insulin resistance while only 8% (45) had it. Based risk categories for CHD, 12.8% (72) were at moderate risk and 2.0% (11) were at high risk for cardiovascular events in next 10 years. Logistic regression analysis revealed that female sex (95% CI 8 to 147.16; P