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Comparison of Lipid Ratios to Identify Metabolic Syndrome.

Authors: Maysam, Rezapour; Armita, Shahesmaeili; Ali, Hossinzadeh; Razieh, Zahedi; Hamid, Najafipour; Mohammad Hossein, Gozashti;

Comparison of Lipid Ratios to Identify Metabolic Syndrome.

Abstract

The objective of this study was to compare various lipid ratios for detection of metabolic syndrome (MetS) in the Iranian general population.This cross-sectional study involved 5677 subjects aged ≥18 years from the general population in Kerman, Iran. Associations between lipid ratio quartiles and MetS were analyzed using logistic regression models. The areas under receiver operating characteristic (ROC) was calculated to determine the accuracy of lipid ratios in predicting MetS.The adjusted chance of having MetS across quartiles of all lipid ratios had an increasing significant pattern (P < 0.0001). The area under the curves of triglyceride/high-density-lipoprotein-cholesterol (TG/HDL-C) ratio was 0.85 (95% CI = 0.84-0.87) in men and 0.85 (95% CI = 0.84-0.86) in women, of total cholesterol (TC)/HDL-C ratio was 0.79 (95% CI = 0.77-0.81) in men and 0.79 (95% CI = 0.77-0.81) in women and of low-density-lipoprotein cholesterol (LDL-C)/HDL-C ratio was 0.73 (95% CI = 0.71-0.75) in men and 0.74 (95% CI = 0.72-0.76) in women.Our results indicate that the TG/HDL-C Ratio is a better marker than the LDL-C/HDL-C ratio and the TC/HDL-C ratio for identifying MetS in the Iranian population and could be used in clinical practice.

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Keywords

Adult, Aged, 80 and over, Male, Metabolic Syndrome, Adolescent, Cholesterol, HDL, Cholesterol, LDL, Iran, Middle Aged, Cross-Sectional Studies, Logistic Models, ROC Curve, Area Under Curve, Humans, Female, Sex Distribution, Lipoproteins, HDL, Biomarkers, Triglycerides, Aged

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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