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Background: Coronary artery disease (CAD) is a major cause of death globally in both developed and developing countries. Coronary artery disease which was once thought to be a disease of the urban population is now involving the rural community in an increased number. So a study of major coronary risk factors in rural communities will help to adopt various strategies particularly behavior change and communication relevant for these communities to prevent these risk factors and lower CAD related mortality and morbidity. Objective was to estimate rates of the various risk factors for CAD and identify the high-risk groups in the rural community.Methods: A community based cross sectional study was carried out in a rural area in the Howrah district of West Bengal. Four hundred and eighteen (418) persons (212 males and 206 females) were subjected to study using structured, pretested and predesigned schedule. Coronary artery disease risk factors were assessed. Statistical analysis was done with the help of statistical software, the SPSS 20.0 for windows.Results: The study observed that prevalence of tobacco use among the study population was the most significant risk factor (42.3%). The prevalence of other coronary risk factors ranged from 10-20%. Tobacco use, alcohol consumption and sedentary life style were significantly more amongst males. Whereas truncal obesity and systolic hypertension more among females.Conclusions: Various comprehensive strategies particularly behavior change and communication targeting these high risk population need to be emphasized to lower CAD related morbidity burden in the community.
RESUMO
@#Objective To investigate the relationship between resting heart rate (RHR) and coronary heart disease (CHD) and to explore the value of RHR in predicting the occurrence of acute coronary syndrome. Methods 445 patients with CHD were divided into stable angina group and acute coronary syndrome group. RHR, risk factors for coronary heart disease and their correlation were analyzed. Results RHR was higher in the acute coronary syndrome group than in the stable angina group (P<0.01). Logistic regression analysis showed that RHR (OR =1.052, 95% CI: 1.009~1.097, P=0.017), systolic blood pressure (OR=1.027, 95% CI: 1.003~1.053, P=0.031) and hyperglycemia (OR=2.743, 95% CI: 1.207~6.233, P=0.016) were independent risk factors for acute coronary syndrome. Conclusion RHR is an independent risk factor for incidence of acute coronary syndrome.