Table 4. Results of Logistic Regression Analysis Based on HAP (n = 8657).
| β | SE | Wald | P-value | OR | 95% CI | |
|---|---|---|---|---|---|---|
| Intercept a | 3.065 | 1.003 | 9.333 | 0.002 | ||
| Age<30Y | 0.481 | 0.468 | 1.059 | 0.303 | 1.618 | 0.647–4.046 |
| Age 30∼39Y a | 0.686 | 0.338 | 4.109 | 0.043 | 1.985 | 1.023–3.853 |
| Age 40∼49Y a | 0.543 | 0.242 | 5.052 | 0.025 | 1.722 | 1.072–2.765 |
| Age 50∼59Y a | 0.555 | 0.150 | 13.709 | 0.000 | 1.742 | 1.298–2.337 |
| Age 60∼69Y a | 0.475 | 0.132 | 13.022 | 0.000 | 1.609 | 1.243–2.083 |
| Age 70∼Y a | 0.214 | 0.055 | 14.977 | 0.000 | 0.808 | 1.725–1.900 |
| gender | 0.074 | 0.099 | 0.569 | 0.451 | 1.077 | 0.888–1.307 |
| smoking | 0.066 | 0.239 | 0.076 | 0.783 | 1.068 | 0.668–1.707 |
| HBP a | 1.546 | 0.106 | 211.872 | 0.000 | 4.695 | 3.812–5.782 |
| CHD | -0.111 | 0.309 | 0.128 | 0.720 | 0.895 | 0.489–1.640 |
| DM | -0.012 | 0.158 | 0.006 | 0.939 | 0.988 | 0.726–1.345 |
| RHD | -0.385 | 0.234 | 2.708 | 0.100 | 0.681 | 0.430–1.076 |
| NRVD | 0.099 | 0.206 | 0.230 | 0.631 | 1.104 | 0.737–1.654 |
| MM | -0.024 | 0.270 | 0.008 | 0.930 | 0.977 | 0.575–1.658 |
| HLD | -0.415 | 0.283 | 2.144 | 0.143 | 0.660 | 0.379–1.151 |
| ED | 0.267 | 0.406 | 0.433 | 0.511 | 1.306 | 0.589–2.894 |
| cHD | -1.032 | 0.754 | 1.875 | 0.171 | 0.356 | 0.081–1.561 |
| HF a | 1.049 | 0.098 | 114.304 | 0.000 | 2.854 | 2.355–3.459 |
| AF a | 2.594 | 0.226 | 131.411 | 0.000 | 13.386 | 8.591–20.858 |
a = statistical significance.