Appropriate anthropometric indices of obesity and overweight for diagnosis of metabolic syndrome and its relationship with oxidative stress

Abstract

Aimsthis study aimed to determine the most appropriate anthropometric indices for diagnosis of metabolic syndrome (MetS) and its relationship with oxidative stress markers. Material and methodsThis cross-sectional study was conducted in 2015 on 108 employees working in Shahroud University of Medical Sciences. Demographics, anthropometric indices (BMI: Body mass index; WC: Waist circumference, WHR: Waist hip ratio, WHtR: Waist-to-height Ratio), Mets: and Then oxidative stress markers (total antioxidant capacity; TAC, Malondialdehyde; MDA, serum superoxide dismutase; SOD, catalase; Cat) were measured. All analyses were performed at a significant level of 0.05, using the SPSS Statistics 21 and Stata 12 software. ResultThe mean age of the participants was 41.4±7.8years. the mean values of different anthropometric indices in patients with metabolic syndrome were higher than those in subjects without MetS and this difference was significant. According to ROC curve the best marker for diagnosis of Mets was WHtR (Waist-to-height Ratio) and its cut off point was 0.54.Also, there was a positive correlation between WHtR and MDA serum levels. In addition, there was a negative correlation between WHtR and the levels of TAC, SOD, and CAT but it was not significant. ConclusionsIt seems that WHtR can be a valuable marker for predicting metabolic disorders and related diseases; moreover, it can be used for evaluation of oxidative stress level. Finally, the formula WC=height×0.54 as a simple tool for prevention of metabolic diseases can be used in university personnel.