Table 4.
The regression analysis of the relationship between of oxidative stress and blood pressure
| βa(95%CI) | Q1 | Q2 | Q3 | Q4 | P-trend | |
|---|---|---|---|---|---|---|
| GSH | ||||||
| DBP | −0,075 (−0110,−0.040)* | Ref | −0.003 (−0.034,0.027) | −0.036 (−0.066,−0.005) | −0.062 (−0.092,−0.031) | < 0.001 |
| SBP | −0.085 (−0.122,−0.048)* | Ref | −0.005 (−0.037,0.027) | −0.038 (−0.070,−0.006) | −0.069 (−0.102,−0.037) | < 0.001 |
| SOD | ||||||
| DBP | −0.033 (−0.047,−0.019)* | Ref | −0.003 (−0.034,0.027) | −0.036 (−0.066,−0.005) | −0.062 (−0.092,−0.031) | < 0.001 |
| SBP | −0.038 (−0.053,−0.024)* | Ref | −0.005 (−0.037,0.027) | −0.038 (−0.070,−0.006) | −0.069 (−0.102,−0.037) | < 0.001 |
| MDA | ||||||
| DBP | 0.150 (0.066,0.234)* | Ref | 0.041 (0.010,0.071) | 0.035 (0.004,0.065) | 0.043 (0.012,0.074) | < 0.001 |
| SBP | 0.185 (0.097,0.273)* | Ref | 0.033 (0.001,0.066) | 0.033 (0.001,0.065) | 0.047 (0.015,0.080) | < 0.001 |
DBP Diastolic blood pressure, SBP Systolic blood pressure, GSH Glutathione, SOD Superoxide Dismutase, MDA Malondialdehyde. All models had adjustments for age, sex, BMI, smoke, drink, education, family income, occupation. Oxidative stress and blood pressure were ln-transformed
amultivariate linear regression, urinary metal and DBP were ln-transformed. *p < 0.05