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Table 4 Multiple logistic regression analysis of the association between selected independent variables and metabolic syndrome using De Ferranti's definition.

From: Prevalence and association between obesity and metabolic syndrome among Chinese elementary school children: a school-based survey

      95.0% CI for OR
  B S.E. Sig. OR Lower Upper
BMI       
BMI (1st quartile)     1.000   
BMI (2nd quartile) 0.522 1.300 0.296 1.686 0.132 21.554
BMI (3rd quartile) 1.189 1.138 0.014 3.284 0.353 30.557
BMI (4th quartile) 2.889 1.188 <0.001 17.975 1.753 184.344
HOMA-IR       
HOMA-IR(1st quartile)     1.000   
HOMA-IR (2nd quartile) 0.857 0.834 0.031 2.357 0.459 12.091
HOMA-IR (3rd quartile) 0.898 0.837 0.019 2.455 0.476 12.656
HOMA-IR (4th quartile) 1.352 0.856 0.001 3.865 0.721 20.706
  1. Dependent variable: Metabolic syndrome using De Ferranti 's definition.
  2. 1st quartile: 1%-25% percentiles, 2nd quartile: 26%-50% percentiles, 3rd quartile: 51%-75% percentiles, 4th quartile: 76%-100% percentiles.
  3. The analysis was adjusted for age, gender, tanner, waist circumference, blood pressure, serum triglycerides, serum high-density cholesterol and fasting blood sugar.