Table 4 Multiple logistic regression of COVID-19 vaccination
β | Wald χ² | p | OR | OR(95% CI) | |
|---|---|---|---|---|---|
Model 1 Will receive/Have received | |||||
Gender (male = 1, female = 2) | 1.704 | 182.203 | 0.000* | 5.497 | 4.292, 7.041 |
Has ever received influenza vaccine (yes = 1, no = 2) | 0.980 | 33.167 | 0.000* | 2.664 | 1.908, 3.718 |
Has ever been tested for COVID-19 (yes = 1, no = 2) | 0.808 | 15.658 | 0.000* | 2.244 | 1.504, 3.349 |
Positive | 0.017 | 0.047 | 0.828 | 1.017 | 0.873, 1.185 |
Negative | 0.370 | 17.813 | 0.000* | 1.448 | 1.219, 1.719 |
Internal | -0.077 | 0.469 | 0.493 | 0.926 | 0.743, 1.154 |
External | -0.183 | 3.580 | 0.058 | 0.833 | 0.689, 1.007 |
Injunctive norms | -0.821 | 65.293 | 0.000* | 0.440 | 0.360, 0.537 |
Descriptive norms | -2.254 | 589.563 | 0.000* | 0.105 | 0.088, 0.126 |
Model 2 Never thought/Have received | |||||
Gender (men = 1, women = 2) | 0.810 | 3.000 | 0.083 | 2.249 | 0.899, 5.627 |
Has ever received influenza vaccine (yes = 1, no = 2) | 1.271 | 2.277 | 0.131 | 3.564 | 0.684, 18.564 |
Has ever been tested for COVID-19 (yes = 1, no = 2) | 0.961 | 1.932 | 0.165 | 2.615 | 0.674, 10.140 |
Positive | -0.901 | 9.709 | 0.002* | 0.406 | 0.230, 0.716 |
Negative | 0.498 | 2.248 | 0.134 | 1.646 | 0.858, 3.158 |
Internal | 0.030 | 0.004 | 0.948 | 1.030 | 0.419, 2.536 |
External | -0.683 | 2.918 | 0.088 | 0.505 | 0.231, 1.106 |
Injunctive norms | -1.263 | 10.186 | 0.001* | 0.283 | 0.130, 0.614 |
Descriptive norms | -2.817 | 145.691 | 0.000* | 0.060 | 0.038, 0.094 |