Table 5. Risk factors and parameters of multiple logistic regression model.
Variables | ßd | SE | Wald | P | OR | 95%CI |
---|---|---|---|---|---|---|
Model1a | ||||||
Gender | 0.40 | 0.13 | 9.04 | 0.001 | 1.49 | (1.15–1.93) |
BaPWVb | 0.73 | 0.13 | 30.15 | 0.001 | 2.08 | (1.60–2.71) |
UA | 0.01 | 0.01 | 92.23 | 0.001 | 1.02 | (1.01–1.03) |
Hs-CRP | 0.06 | 0.01 | 12.92 | 0.001 | 1.06 | (1.03–1.10) |
Model2c | ||||||
Gender | 0.45 | 0.17 | 20.91 | 0.001 | 1.58 | (1.11–2.23) |
BaPWVb | 0.73 | 0.13 | 30.24 | 0.001 | 2.68 | (1.60–2.71) |
UA | 0.01 | 0.00 | 90.69 | 0.001 | 1.01 | (1.01–1.02) |
Hs-CRP | 0.06 | 0.01 | 12.89 | 0.001 | 1.07 | (1.03–1.11) |
aAdjusted variables in model1: baPWV, gender (male vs. female), educational level, income level, marriage status, UA, Hs-CRP and BNP;
bBaPWV abnormal range: ≥1435 cm/sec, normal range, <1435 cm/sec;
cAdjusted variables in model2: baPWV, gender, educational level, income level, marriage status, smoking, alcohol drinking, UA, hs-CRP and BNP;
dRegression coefficient.