Anthropometric Correlation with Metabolic Syndrome in Sarajevo Population

Title:Anthropometric Correlation with Metabolic Syndrome in Sarajevo Population

Volume: 16 Issue: 2

Author(s): Nekić Vanesa, Loga Zec Svjetlana and Sutkovic Jasmin

Affiliation:

Keywords: Anthropometric parameters, body-mass-index, cardiovascular disease, metabolic syndrome, obesity, waist circumference.

Abstract: Background: Metabolic syndrome, described as one of the most common clustering metabolic risk factors in the world, combines minimum three of the following five risk factors: central obesity, elevated fasting glucose, lipid disorders, arterial hypertension and high serum triglycerides. International Diabetes Federation (IDF) in 2009 defined abdominal obesity as the waist circumference of ≥80 cm in women and ≥ 94 cm in men. The research goal of this study is to analyze the anthropometric risk factors for metabolic syndrome, their correlation and effects on metabolic indices related to metabolic syndrome in the analyzed population.

Methods: The study population consisted of 90 patients (51 males and 39 females). Total cholesterol, triglycerides, glucose, body mass index (BMI), waist circumference (WC), systolic and diastolic blood pressure were measured in all patients.

Results: In the complete study group, WC was found to be significantly correlated with BMI (R = 0. 67, P < 0. 001). Furthermore the correlation analysis significantly confirmed positive association between BMI and WC, where other cardiovascular risk factors significantly increased with increasing BMI.

Conclusion: Our results show linear correlation between waist circumference and body mass index, suggesting that the presence of MetSy is seen in both healthy males and female in Sarajevo population.This research indicates and confirms that WC and BMI together are good indicators of health risks in both women and men.

Cite this article as:

Vanesa Nekić, Svjetlana Zec Loga and Jasmin Sutkovic, Anthropometric Correlation with Metabolic Syndrome in Sarajevo Population, Endocrine, Metabolic & Immune Disorders - Drug Targets 2016; 16 (2) . https://dx.doi.org/10.2174/1871530316666160208150135