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European journal of molecular biology and biochemistry

Volume 6, Issue 1, 2019
Mcmed International
European journal of molecular biology and biochemistry
Issn
2348 - 2192 (Print), 2348 - 2206 (Online)
Frequency
bi-annual
Email
editorejmbb@mcmed.us
Journal Home page
http://mcmed.us/journal/ejmbb
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Abstract
Title
COMPARISON OF ANTHROPOMETRIC INDICES WITH BIOCHEMICAL PARAMETERS IN YOUNG FEMALES OF DAKSHINA KANNADA DISTRICT: A CROSS SECTIONAL STUDY
Author
Greeshma B Kotian, Mahalaxmi S Petimani, Nivedita L Rao
Email
mahalaxmi.petimani@gmail.com
keyword
Anthropometric indices, Cardiovascular diseases, young adult females, Body Mass Index, Waist circumference, Waist – hip ratio, Waist –height ratio
Abstract
Objectives: To study co-relation between anthropometric indices (BMI, waist circumference, waist-hip ratio and waist- height ratio) with Fasting Blood Glucose, Glucose Tolerance, Lipid profile and Plasma insulin levels in young females of Dakshina Kannada district. Materials and Methods: A cross sectional study was carried out involving 70 female students aged between 18 to 21 years. Height, weight, waist circumference, hip circumference were measured and Body Mass Index (BMI), Waist to hip ratio (WHR), Waist to height ratio (WHtR) were calculated. Biochemical parameters like Fasting Blood Glucose, Glucose Tolerance, Lipid profile and Plasma insulin levels were estimated. Regression analysis and Receiver Operating Characteristic (ROC) analysis was done to compare correlation between anthropometric indices with biochemical parameters. Results: The present study shows that WC (>80cm) has statistically significant correlation with LDL-C, HDL-C, TC/ HDL-C, LDL-C/HDL-C and non HDL-C /HDL-C ratio with p value < 0.05. Similarly, WHR (> 0.84) has statistically significant correlations with HDL-C. Waist–height ratio (WHtR>0.5) has shown statistically significant (p<0.05) correlation with LDL-C, Triglycerides and LDL-C/HDL-C ratio. It was also noted that there exists statistically significant (p<0.05) correlation between Body Mass Index (BMI>25) with LDL-C. Conclusion: In this study we found that all the anthropometric indices have good correlations with the biochemical parameters and hence these non invasive anthropometric indices can be considered for predicting or controlling cardiovascular diseases.
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