Table 3.
Multiple regression analysis performed in all subjects (n=147), by considering.
| Independent Variables | Estimate | Std. Error | T | P |
|---|---|---|---|---|
| Model 1 | ||||
| (Intercept) | 34.130 | 4.828 | 7.069 | < 0.001 |
| Diastolic blood pressure | -0.073 | 0.058 | -1.255 | Ns |
| Triglycerides | -0.019 | 0.012 | -1.557 | Ns |
| Fat mass | -0.159 | 0.055 | -2.879 | < 0.01 |
| Insulin | -0.060 | 0.078 | -0.776 | Ns |
| Sex | 3.248 | 1.495 | 2.173 | <0.05 |
| Model 2 | ||||
| Intercept | 22.997 | 7.934 | 2.899 | <0.01 |
| Waist circumference | 0.160 | 0.091 | 1.761 | Ns |
| Diastolic blood pressure | -0.085 | 0.058 | -1.457 | Ns |
| Triglycerides | -0.022 | 0.012 | -1.794 | Ns |
| Fat mass | -0.285 | 0.090 | -3.160 | <0.01 |
| Insulin | -0.068 | 0.078 | -0.880 | Ns |
| Sex | 1.745 | 1.712 | 1.019 | Ns |
25(OH)D levels as the dependent variable and diastolic blood pressure (BP), triglycerides, fat mass, insulin and sex as independent variables (Model 1), or waist circumference, diastolic blood pressure (BP), triglycerides, fat mass, insulin and sex as independent variables (Model 2).