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Table 3 Logistic binary regression analysis of obesity measures associated with metabolic syndrome risk factors

From: Performance of body mass index and body fat percentage in predicting metabolic syndrome risk factors in diabetic patients of Yazd, Iran

Dependent variables

Independent variables

Men

Women

OR (95% CI)

P-value

OR (95% CI)

P-value

Blood pressure

BMI

2.17(1.49–3.17)

< 0.001

BFP

1.63(1.14–2.32)

0.007

Fasting glucose

BMI

2.23(1.11–4.91)

BFP

4.68(0.4–54.19)

< 0.001

Waist circumference

BMI

60.93(23.99–154.75)

< 0.001

31.56(15.26–65.27)

< 0.001

BFP

HDL

BMI

BFP

3.23(0.843–4.05)

0.03

Triglyceride

BMI

2.39(1.48–3.18)

< 0.001

BFP

27.34(25.01–45.87)

0.000

  1. Notes: a Data are from logistic regression analyses adjusted for age, sex; Dashes mean variable removed from the equation by backward stepwise selection. According to the IDF definition, metabolic syndrome is existing if at least 3 of the following criteria are met: WC > 102 cm (men) or > 88 cm (women), fasting glucose > 1 mmol/l, triglycerides < 1.5 mmol/l (150 mg/dl), high-density lipoprotein cholesterol (HDL-C) < 0.4 mmol/l(40 mg/dl) (men) or < 0.5 mmol/l(50 mg/dl) (women), blood pressure > 130/85 mmHg (13/8 CmHg), or treatment for previously recognized hypertension. Metabolic syndrome is defined using the NCEP ATP III criteria modified for Asian population
  2. Abbreviations: WC Waist circumference, BFP Body Fat percentage, BMI Body mass, HDL High density lipoprotein, LDL Low density lipoprotein, HbA1c hemoglobin A1C, 2hpp 2 hour Post Prandial. Denotes statistically significant difference between groups (p-value< 0.05)