Journal of AdvancedMedical and Dental Sciences Research

Aim: The purpose of this research is to examine the relationship between obesity-related dyslipidemia and anthropometric indicators. Methods: This cross-sectional research was conducted at the Department of Physiology. A total of 100 healthy males and females participated in this study using a self-structured questionnaire. With a non elastic tape, WC was measured in cm halfway between the lower costal border and the iliac crest at the end expiratory phase. With the subject upright and muscles relaxed, the hip circumference was measured in centimetres at the level of the greater trochanters. Results: Based on WC, the current research 70% of the study population was classified as obese, whereas 30% were classified as non-obesity. Based on WHR, 66.67% of participants were classified as obese, whereas 33.33% were classified as non-obese. Furthermore, based on BMI values, 65.71% of participants were classified as obese and 34.29% as non-obese. When compared to the non-obese group, anthropometric indices and serum lipid profile values increased significantly (p<0.001). WC accurately detected 24 obese participants with abnormal blood lipid profiles out of 27 obese subjects. Furthermore, the % sensitivity and specificity of anthropometric measures in predicting dyslipidaemia were calculated. In terms of diagnostic accuracy, WC was more sensitive (71.58%), correctly identifying the obese with dyslipidaemia, and WHR showed higher positive predictive value in terms of diagnostic power, i.e. ability to correctly predict the occurrence of dyslipidaemia (PPV% - 91.39%) in healthy study subjects. Conclusion: Changes in lipid profile and dyslipidemia are significantly linked to obesity. This research also shows that WHR is the most specific measure that may be utilised in a clinical setting to identify those obese patients who are at a higher risk for developing CVD so that they can be given the proper treatment.