TABLE 2.
Multiple linear regression analysis regarding independent associations between differences in LVMI and BPV (systolic and diastolic)
| Independent variables | Left ventricular mass index differences (ΔLVMI) | ||||||
|---|---|---|---|---|---|---|---|
| Total population (n = 180) | Controlled hypertensives (n = 119) | ||||||
| Model A (Office SBP) | |||||||
| ΔsBPV | β = 0.20, p = .01 | ΔdBPV | β = 0.17, p = .04 | ΔsBPV | β = 0.26, p = .01 | ΔdBPV | β = 0.22, p = .01 |
| Age | – | Age | – | Age | – | Age | – |
| Smoking | – | Smoking | – | Smoking | β = 0.19, p = .06 | Smoking | – |
| BMI | – | BMI | – | BMI | – | BMI | β = −0.20, p = .05 |
| Cholesterol | – | Cholesterol | – | Cholesterol | – | Cholesterol | – |
| Office SBP | – | Office SBP | – | Office SBP | – | Office SBP | – |
| Model B (Office mean BP) | |||||||
| ΔsBPV | β = 0.20, p = .01 | ΔdBPV | β = 0.17, p = .04 | ΔsBPV | β = 0.26, p = .01 | ΔdBPV | β = 0.22, p = .02 |
| Age | – | Age | – | Age | – | Age | – |
| Smoking | – | Smoking | – | Smoking | β = 0.19, p = .06 | Smoking | – |
| BMI | – | BMI | – | BMI | – | BMI | β = −0.20, p = .05 |
| Cholesterol | – | Cholesterol | – | Cholesterol | – | Cholesterol | – |
| Office mean BP | – | Office mean BP | – | Office mean BP | – | Office mean BP | – |
| Model C (24‐h SBP) | |||||||
| ΔsBPV | β = 0.20, p = .01 | ΔdBPV | – | ΔsBPV | β = 0.19, p = .04 | ΔdBPV | – |
| Age | – | Age | – | Age | – | Age | – |
| Smoking | – | Smoking | – | Smoking | Smoking | – | |
| BMI | – | BMI | – | BMI | β = −0.20, p = .03 | BMI | β = −0.20, p = .03 |
| Cholesterol | – | Cholesterol | – | Cholesterol | – | Cholesterol | – |
| 24‐h SBP | β = 0.29, p < .001 | 24‐h SBP | β = 0.30, p < .001 | 24‐h SBP | β = 0.35, p < .001 | 24‐h SBP | β = 0.39, p < .001 |