obesity secondary to medication and genetic or endocrine disorders were excluded from the study. Weight and height were measured for calculating Body Mass Index (BMI). Waist circumference and blood pressure were measured, as well. Plasma glucose, serum High Density Lipoprotein-cholesterol (HDL-c), and Triglyceride (TG) were also analyzed. The presence of MetS was determined using Adult Treatment Panel-III (ATP-III) criteria.
Results:The results showed significant correlations between age and waist circumference, Fasting Blood Sugar (FBS), Systolic Blood Pressure (SBP), and Diastolic Blood Pressure (DBP). Moreover, statistically significant relationships were found between waist circumference and TG, SBP, DBP, and BMI. Significant correlations were also observed between FBS and TG, SBP, and DBP. Besides, there were strong correlations between TG and HDL-c, SBP, DBP, and BMI. Moreover, BMI, SBP, and DBP were significantly correlated. In addition, serum HDL-c was negatively associated with most of the variables. The prevalence of pre-diabetes, pre-hypertension, and hypertriglyceridemia was higher among males. On the other hand, the prevalence of hypertension, diabetes, high waist circumference, and MetS was significantly higher among the female participants. Conclusions: A better understanding of the role of gender in the prevalence of MetS is important in developing prevention and treatment strategies.