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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.
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BMC Public Health

ISSN: 1471-2458

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