Association between anthropometric parameters and dyslipidemia in obese and non-obese patients

Abstract

Background: Obesity leads to dyslipidemia and predisposes to risk of atherosclerosis and premature death. Anthropometric variables when correlated with lipid profile help to screen at risk individuals who are more susceptible for developing obesity-related morbidities. Aim and Objective: This study aims to determine the association of dyslipidemia of obesity with anthropometric indices. Materials and Methods: This cross-sectional study was carried out in the Department of Physiology, Patna Medical College, Patna, Bihar, India from October 2018 to August 2019.Total 200 healthy males & females with the help of self structured questionnaire were include in this study. WC was measured, in cm, midway between the lower costal margin and iliac crest during the endexpiratory phase, with a non elastic tape. Hip circumference was measured, in cm, at the level of the greater trochanters, with the person standing and relaxed muscles. Results: Mean age of obese group and non obese group was 41.5 ± 9.28 years, 39.5 ± 9.37 years respectively. Mean body weight of obese group and non obese group was 94.78 ± 5.78 kg, and 92.66 ± 6.47 kg, respectively. Mean height of obese group and non obese group was 161.7± 4.78 cm, and 158.2 ± 5.15cm, respectively. Mean BMI of obese group and non obese group was 28.21 ± 2.5kg/m2, and 23.45 ± 2.7 kg/m2, respectively. Mean WHR of obese group and non obese group was 0.96 ± 0.10 cm, and 0.79 ± 0.07 cm, respectively. All the anthropometric variables were found highest in the obese group as compared to non obese group and this difference between the groups was statistically highly significant. Conclusion: Obesity strongly correlates with dyslipidemia and altered lipid profile status. Furthermore, from this study, we can say that WHR is the most specific parameter that can be used in the clinical setup to identify within obese subjects those who are more predisposed for developing CVD and treated appropriately.

Keywords: Obesity; Body Mass Index; Lipid Profile; Anthropometric indices