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Abstract

METABOLIC SYNDROME AND RISK OF CARDIOVASCULAR DISEASE IN RURAL AND URBAN PATIENTS IN NORTH INDIA

Manoj Kumar Sharma, Sonali Pandey and Suryakant Nagtilak*

ABSTRACT

Introduction: Metabolic syndrome (MetS) and cardiovascular disease (CVD) have been associated with the variables of anthropometric and biochemical measurements. This study evaluated the effect of MetS and risk of CVD factors in rural and urban population. Aim: To compare the effect of MetS and CVD risk factors in rural and urban population of Greater Noida. Material and methods: A total three hundred sixty seven participants were recruited in the study, aged 20 to 55 years. Comprising, 290 patients (149 rural and 141 urban) and 77 were healthy age, sex matched controls from the study area. Over a period of 3 months by employing personal interview, anthropometric measurements, clinical and laboratory examination information was obtained. Blood pressure (BP), waist circumference (WC), hip circumference, waist hip ratio (WHR), body mass index (BMI), fasting blood glucose (FBG), triglycerides, high density lipoprotein (HDL), cholesterol and glycated haemoglobin (HbA1c) were compared in both rural and urban populations. Data were analysed by using Statistical Package for Social Survey (SPSS) for windows 16.0 software (SPSS Inc., Chicago, IL, USA) and result where expressed on mean ± SD. Results: There were significant differences in biochemical measurements and anthropometric measurements of study population (p<0.05). As per NCEP ATPIII criteria, the prevalence of MetS in rural patient population was 13.8% in male and 18.8% in female. Whereas in urban male and female exhibited 21.7% and 27.8% of MetS respectively. The risk of CVD in a rural patient population was 6.3% in male and 11.6% in female. Whereas in urban male and female exhibited 13.0% and 15.3% of CVD respectively. Conclusion: Metabolic syndrome in the presence of type 2 diabetes (T2DM) plays an important role in elevation of blood pressure, low-density lipoprotein and triglycerides which are precursors risk of CVD.

Keywords: Body mass index, Central obesity, Glycated haemoglobin, Type 2 diabetes mellitus.


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