Association of anthropometric indices of obesity withdyslipidemia: A study from South India
Priyanka N Pawaskar, S. Arun, Kavana G.V, Nayanatara Ak, N Anupama, Ramesh M Bhat
Abstract
Priyanka N Pawaskar, S. Arun, Kavana G.V, Nayanatara Ak, N Anupama, Ramesh M Bhat
Abstract
Anthropometry is a simple reliable method for quantifying body size and proportions. The present study was aimed to study the association of selected established anthropometric indices of obesity such as waist circumference (WC), waist-hip ratio (WHR) and body mass index (BMI) with dyslipidemia in the population residing in south India. Hundred healthy subjects within the age group of 25 and 60 years were selected from out-patients setting in a teaching hospital. Anthropometric data and serum lipid profile were analysed. Based on anthropometric parameters and the lipid profile the subjects were grouped into obese and non-obese groups. Data obtained was statistically analysed. The raised values of WC, WHR and BMI were highly significant (p<0.001) in obese group compared to non-obese group. Based on the present results we conclude that WC was more sensitive for predicting altered lipid profile and WHR is a prime factor to predict occurrence of dyslipidaemia. Routine health examination will enhance obesity related evaluation of cardio vascular risk factors.
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Anthropometry is a simple reliable method for quantifying body size and proportions. The present study was aimed to study the association of selected established anthropometric indices of obesity such as waist circumference (WC), waist-hip ratio (WHR) and body mass index (BMI) with dyslipidemia in the population residing in south India. Hundred healthy subjects within the age group of 25 and 60 years were selected from out-patients setting in a teaching hospital. Anthropometric data and serum lipid profile were analysed. Based on anthropometric parameters and the lipid profile the subjects were grouped into obese and non-obese groups. Data obtained was statistically analysed. The raised values of WC, WHR and BMI were highly significant (p<0.001) in obese group compared to non-obese group. Based on the present results we conclude that WC was more sensitive for predicting altered lipid profile and WHR is a prime factor to predict occurrence of dyslipidaemia. Routine health examination will enhance obesity related evaluation of cardio vascular risk factors.
Key concepts: Anthropometry, Dyslipidemia, Waist, Body mass index, Medicine, Obesity, Waist–hip ratio, Lipid profile