Metabolic Syndrome and Inflammatory Biomarkers in Adults: A Population-Based Survey in Western Region of Iran

authors:

avatar Ali Maleki 1 , avatar Negin Rashidi 2 , avatar Hamidreza Aghaei Meybodi 3 , avatar Mahdi Montazeri 4 , * , avatar Mohammad Montazeri 5 , avatar Farid Falsafi 6 , avatar Reza Ghanavati 1 , avatar Saeid Forughi 6 , avatar Farshid Alyari 6

Department of Cardiology, Lorestan University of Medical Sciences, Khorramabad, Iran
Department of Internal Medicine, Tehran University of Medical Sciences, Tehran, Iran
Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
Department of Cardiology, Tehran University of Medical Sciences, Tehran, Iran
Young Researchers Club, Islamic Azad University, Babol Branch, Babol, Iran
International Cardiovascular Research Journal: Vol.8, issue 4; e11679
published online: December 01, 2014
article type: Research Article
received: April 19, 2017
accepted: June 29, 2014

how to cite: Maleki A , Rashidi N , Aghaei Meybodi H , Montazeri M , Montazeri M , et al. Metabolic Syndrome and Inflammatory Biomarkers in Adults: A Population-Based Survey in Western Region of Iran. Int Cardiovasc Res J. 2014;8(4):e11679. 

Abstract

Background: There is evidence that inflammation may be involved in pathogenesis of MetS. Inflammatory biomarkers are moving to the forefront as the potent predictors of MetS.
Objectives: The present study aimed to evaluate the association between MetS and some inflammatory biomarkers.
Patients and Methods: This community-based cross-sectional study was conducted on 800 subjects aged above 35 years selected through random sampling in Borujerd (west of Iran) from 2011 to 2013. MetS was defined based on ATP III criteria and the subjects were divided into two groups (MetS and non-MetS groups). Waist circumference and Body Mass Index (BMI) were calculated. In addition, blood samples were taken and C-Reactive Protein (CRP), lipid profile, Fasting Blood Sugar (FBS), and Bleeding Time (BT) were measured. Then, the correlations between MetS and the above-mentioned variables were estimated. After all, the data were entered into the SPSS statistical software (v. 17) and analyzed using T-test, chi-square, median test, and spearman’s rank correlation.
Results: In this study, 344 subjects (43%) met the ATP III criteria. The results showed a significant difference between MetS and non-MetS groups regarding BMI, white blood cell, total cholesterol, LDL, platelet, and high-sensitivity CPR (hs-CRP) (P < 0.0001, P = 0.040, P < 0.0001, P < 0.0001, and P = 0.045, respectively). Besides, waist circumference, Triglyceride (TG), FBS, and systolic and diastolic blood pressure were significantly higher, while HDL was significantly lower in the MetS group (P < 0.0001).
Conclusions:: The incidence rate of MetS in our survey was higher compared to the previous reports. In addition, this incidence rate was higher in females in comparison to males. The results also showed a significant correlation between inflammatory biomarkers and MetS and that the higher levels of hs-CRP were associated with higher rate of MetS.

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References

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