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Cardiometabolic risk profile of rural South Indians undergoing coronary interventions
  1. Manne Sriharibabu1,
  2. Yalamanchali Himabindu2,
  3. Zubair Kabir3
  1. 1Department of Medicine, GSL Medical College & General Hospital, Rajahmundry, Andhra Pradesh, India
  2. 2Department of Obstetrics and Gynecology, GSL Medical College & General Hospital, Rajahmundry, Andhra Pradesh, India
  3. 3Department of Public Health & Epidemiology, University College Cork, Cork, Ireland
  1. Correspondence to Dr Manne Sriharibabu, Department of Medicine, GSL Medical College & General Hospital, NH 216 Rajahmundry, Andhra Pradesh–534296, India; manne.sappu{at}


Background According to projected estimates, India will bear 60% of the world's cardiovascular disease (CVD) burden by the year 2020. CVD mortality rates are high in South India compared with the rest of India.

Objective The objective of this study was to examine the prevalence of behavioural, biological and metabolic risk factors in different age groups of rural South Indians undergoing coronary interventions under a governmental health insurance scheme.

Methods This study includes 1294 patients who underwent coronary interventions. Age, gender and anthropometric measurements were recorded. History of hypertension, diabetes, smoking and family history of ischaemic heart disease was obtained from every subject. Physical activity was assessed using a General Practise physical activity questionnaire. Investigations like haemogram, blood urea, serum creatinine, fasting and postprandial blood glucose, lipid profile and echocardiography were carried out for all patients.

Results Hypertension was found in 65% patients, 32.38% had diabetes mellitus, 41.65% were smokers (current and former), 37.17% had dyslipidemia, 31.06% had body mass index more than 25 kg/m, 27.04% were physically active, 37% had left ventricular dysfunction, and 8.57% had renal impairment ( table 1). Statistically significant differences were seen in the prevalence rates of different risk factors in the compared age groups (p=<0.05) except for hypertension and dyslipidemia (p=0.596 and 0.306).

Conclusions Risks to health, as an area of study, has recently begun to receive attention in developing countries including India. Population-based strategies aimed at bringing down risk factor levels in the community can translate into major public health benefits.

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