Correlation between Anthropometric Indices and Lipid Profile in Adults.

ABSTRACT

Introduction: Obesity is a worldwide health issue, associated with excessive fat accumulation in the body to the extent that health and well-being are adversely affected. Obesity may increase the risk of many diseases such as diabetes, atherosclerosis, hypertension dyslipidemia, gallbladder diseases and cardiovascular diseases. Anthropometric measurements can easily reflect any changes in the lipid concentration in the human body. Intra-abdominal fat has been identified as being the most clinically relevant type of fat in humans. Abnormal visceral fat produces physiological changes that alter lipid profile, leading to dyslipidemia, which in turn increases the risk of cardiovascular events. Body mass index, waist and hip circumferences were found to be useful anthropometric predictors for cardiovascular risk. The aims and objectives of the study are Body mass index, waist and hip circumferences were found to be useful anthropometric predictors for cardiovascular risk. To evaluate the correlation between lipid profiles and anthropometric indices of total and central obesity. Methods: The present study was conducted among 90 adults (45 male, 45 female) in FH Medical College. All subjects were apparently healthy. The serum lipid profile included total cholesterol (TC), highdensity lipoprotein (HDL), low-density lipoprotein (LDL) and triacylglycerols (TG). BMI (kg/m2) was calculated using Quitelet’s index. Adults were classified according to their BMI into three groups. Results: Average age of males is 40.02 years and females 36.46 years. On the basis of BMI, there was 14.44% of normal weight persons, 26.67% overweight and 58.89% obese. Abnormal levels for TG in 35, TC in 20, LDL in 3, HDL in 27 of the total sample were found. Overall correlations were found between anthropometric analysis and lipid profiles. Conclusion: We found good correlations between anthropometric indices of general and central obesity and lipid profiles. Among, the anthropometric indices WHR proved to be a good predictor of dyslipidemia, showing the importance of using it in clinical practice and for screening of cardiovascular risk. Prospective studies using different parameters to assess abdominal obesity and its relationship to metabolic profile and with larger population are needed to quantify the results for application to community health lifestyle modifications.