Table 3.
The correlation between CVDs hospitalization rate and factors by OLS model.
| Diseases | Variables | (95%CI) | P | VIF | Adjusted R2 |
|---|---|---|---|---|---|
| Hypertension | Intercept | −186.982(−252.045, −121.918) | <0.001 | 0.265 | |
| PGDP | 10.835 (6.947,14.724) | <0.001 | 1.435 | ||
| CP | −37.908(−57.441, −18.375) | <0.001 | 1.272 | ||
| PISR | 0.500(−0.300,1.300) | 0.220 | 1.076 | ||
| PLIH | 2.363(−0.858,5.584) | 0.150 | 1.089 | ||
| PA | 1.981 (1.216,2.746) | <0.001 | 1.052 | ||
| HB | 1.988 (1.541,2.435) | <0.001 | 1.362 | ||
| Heart diseases | Intercept | −77.445(−109.519, −45.371) | <0.001 | 0.353 | |
| PGDP | 8.502 (6.445,10.558) | <0.001 | 1.426 | ||
| CP | −8.964(−19.452,1.524) | 0.094 | 1.303 | ||
| PISR | −0.04(−0.464,0.385) | 0.855 | 1.075 | ||
| PLIH | 3.848 (2.350,5.346) | <0.001 | 1.076 | ||
| PA | 0.859 (0.465,1.252) | <0.001 | 1.122 | ||
| HB | 0.808 (0.574,1.043) | <0.001 | 1.33 | ||
| Cerebrovascular diseases | Intercept | −92.266(−180.641, −3.89) | 0.041 | 0.350 | |
| PGDP | 18.215 (13.999,22.431) | <0.001 | 1.49 | ||
| CP | −21.693(−42.393, −0.993) | 0.040 | 1.263 | ||
| PISR | −0.846(−1.694,0.002) | 0.051 | 1.069 | ||
| PLIH | 3.962 (0.539,7.385) | 0.023 | 1.100 | ||
| PA | 0.931(−0.269,2.131) | 0.128 | 1.097 | ||
| HB | 1.802 (1.33,2.274) | <0.001 | 1.343 |
: represents the strength and type of relationship between each explanatory variable and the dependent variable. Probability (P): Coefficient is statistically significant (P < 0.05). Variance inflation factor (VIF): large VIF values (>7.5) indicate redundancy among explanatory variables. Adjusted R2: the fraction of the variance in the data that is explained by the model.