Author/Authors :
Amini, Massoud Isfahan University of Medical Sciences, Isfahan , Esmaillzadeh, Ahmad Isfahan University of Medical Sciences, Isfahan , Sadeghi, Marzieh Isfahan University of Medical Sciences, Isfahan , Mehvarifar, Najmahe Isfahan University of Medical Sciences, Isfahan , Amini, Marzieh Isfahan University of Medical Sciences, Isfahan , Zare, Maryam Isfahan University of Medical Sciences, Isfahan
Abstract :
BACKGROUND: Antropometric measures with biochemical indicators have been used as screening tools for metabolic
abnormalities in adolescents and adults. A few studies have assessed the relation of EWET (Enlarge waist Elevated triglyceride)
phenotype with diabetes, especially among individuals with first relative history of diabetes. This study aimed
to evaluate the association of EWET phenotype with diabetes among individuals with family history of diabetes.
METHODS: Antropometric and biochemical measurments were evaluated in a population – based cross – sectional study
of 332 male and 991 female Isfahani adults aged 35-55 year. The EWET phenotype was defined as serum trigcylglycerol
concentrations ≥ 150 mg/dl and concurrent waist circumference (WC) ≥ 88 cm in females and ≥ 102 cm in males.
RESULTS: The prevalence of EWET phenotype was respectively 9.6% and 23.6% among male and female. Individuals
with the phenotype had significantly higher BMI and WHR (waist to hip ratio) as compared to other groups. After control
for age and physical activity, male with EWET phenotype were significantly more likely to have high serum triglyceride
levels (p < 0.001), cholesterol (p < 0.001). Even after additional control for BMI, the significant associations
remained except for low HDL Cholestrol. Female with EWET phenotype had significantly adverse metabolic risks as
compared to other groups, either before or after control for BMI (p < 0.001). Individuals with the phenotype were more
likely to have diabetes (both gender) and (IGT) Impaired Glucose Tolerance (female only).
CONCLUSIONS: Our results showed that EWET phenotype has significantly associated with diabetes. This phenotype
could be used for early identification of diabetes and IGT.