TABLE 6.
Hierarchical regression analysis of anthropometric and sleep variables for the hemodynamic standardized coefficient β prediction of systolic blood pressure.
| Standardized coefficient β (SCB) of Systolic Blood Pressure (SBP) | ||||||
| Variable | Model 1 | Model 2 | Model 3 | |||
| B (95% CI) | β | B (95% CI) | β | B (95% CI) | β | |
| Constant | −0.229 (−0.737 to 0.280) | −0.136 (−0.628 to 0.357) | −0.392 (−0.857 to 0.073) | |||
| Age | 0.012 (0.002 to 0.021) * | 0.334 | 0.010 (0.001-0.019 | 0.284 | 0.011 (0.003 to 0.020) * | 0.321 |
| BMI | −0.010 (−0.021 to 0.000) | −0.264 | −0.013 (−0.024 to −0.002) * | −0.327 | −0.011 (−0.021 to −0.001) * | −0.279 |
| AHI | 0.003 (0.001 to 0.006) * | 0.314 | −0.003 (−0.007 to 0.001) | −0.295 | ||
| AI | 0.007 (0.003 to 0.010) * | 0.717 | ||||
| Model 1 | Model 2 | Model 3 | ||||
| R2 | 0.345 | 0.458 | 0.373 | |||
| F | 3.59 (p = 0.034) | 4,595 (p = 0.006) | 7.572 (p < 0.001) | |||
| ΔR2 | 0.09 | 0.163 | ||||
| ΔF | 5.935 (p = 0.018) | 13.257 (p = 0.001) | ||||
Hierarchical regression analysis of the SCB of systolic blood pressure. In model 1 age reached statistical significance (p = 0.019). In model 2 age (p = 0.038), BMI (p = 0.018), and AHI (p = 0.018) were statistically significant. There was a significant change compared to model 1. In model 3, age (p = 0.010), BMI (p = 0.026), and arousal index (p = 0.001) were statistically significant. R2F(1.51) increased significantly from model 2 to model 3. *p < 0.05.