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The comparison of classical and newly designed anthropometric indices in the assessment of dyslipidemia

The comparison of classical and newly designed anthropometric indices in the assessment of dyslipidemia

 
 MUHAMMAD MUNEEB SOHAIL1, FATIMA AMEER2, GUR CHARN SINGH2, MUHAMMAD ZAID1* 


 1Department of Life Sciences, School of Science, University of Management and Technology, Lahore, Pakistan. 
2Institute of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan. 

ABSTRACT

 
 It has been shown that dyslipidemia involves low concentrations of high-density lipoprotein cholesterol (HDL) but high concentrations of other plasma lipids. This study reanalyzes the relation between plasma lipids and various anthropometric parameters. In this cross-sectional type of study, the participants (n=53) were recruited for the study. Participants were given one-day free health camps and they were anthropometrically measured. Plasma lipid fractions were accordingly determined. Participants suffering from bacterial/viral infection, hemophilia, diabetes mellitus, cardiovascular disease (CVD), cancer, or anemia were excluded from this study. Statistically significant and non-significant results were obtained for different lipoprotein fractions. Although, Body Mass Index (BMI) was a good classical indicator of obesity, other indicators like A Body Shape Index (ABSI) and Body Roundness Index (BRI), also proved significant in assessing the type and severity of dyslipidemia. Different lipoprotein fractions behaved differently with anthropometric parameters. Relationship of lipoprotein fractions with gender, ethnicity and occupation was also studied. Our study includes 79% of dyslipidemic and 21% of non-dyslipidemic patients. Males were more inclined towards lipid abnormalities than females especially HDL abnormality. Abnormal HDL levels were mostly associated with the rural population. But consumption of fast food may prove fatal for lowering the HDL level in the urban population also. This data gathered may have implications in the characterization and diagnosis of diseases but it can prove helpful in assessing their severity and type. 

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Biologia (Lahore)

December

Vol.65, Iss. 2

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