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.
Wald chi-squared test.
eGFR, estimated Glomerular Filtration Rate.