Skip to main content
. 2017 Nov 1;15(9):431–438. doi: 10.1089/met.2017.0114

Table 5.

Multivariate Logistic Regression to Analyze the Variables Associated with the Presence of Metabolic Syndrome Excluding the Defining Variables of the Syndrome

Variable Odds ratio 95% CI Pa
Metabolic syndrome
 Level of education (low) 1.669 1.399–1.991 <0.001
 Sedentary lifestyle 1.500 1.269–1.772 <0.001
 Uric acid 1.334 1.262–1.411 <0.001
 Age 1.030 1.023–1.036 <0.001
 Albuminuria 1.003 0.996–1.010 0.044
Premorbid metabolic syndrome
 Level of education (low) 1.359 1.124–1.643 0.002
 Uric acid 1.344 1.264–1.430 <0.001
 Sedentary lifestyle 1.222 1.028–1.453 0.023
 Sex (woman) 1.217 1.014–1.461 0.035
 Age 1.011 1.003–1.018 0.007
 Total cholesterol 1.008 1.005–1.010 <0.001
 eGFR <60 mL/min 1.006 1.001–1.011 0.029

We included the age as continuous variable.

a

Wald chi-squared test.

eGFR, estimated Glomerular Filtration Rate.