Table 3.
Crude and adjusted binary logistic regression model to determine the factors of frontline workers on COVID-19 vaccine uptake hesitancy.
| Variables | COR at 95% at CI | P-value | AOR at 95% at CI | P-value |
|---|---|---|---|---|
| Age | .030 | .161 | ||
| Between 21 and 30 | Ref | |||
| Between 31 and 40 | 2.211(0.996,4.906) | .051 | 0.24(0.021,2.695) | .247 |
| Between 41 and 50 | .872(0.376,2.021) | .749 | 1.23(0.176, 8.701) | .835 |
| Above 50 | 0.251(0.120,0.740) | .049 | 0.67(0.093, 4.837) | .609 |
| Gender | .21 | |||
| Male | Ref | |||
| Female | 0.652(0.334,1.274) | .121 | 0.62(0.310,1.240) | .177 |
| Educational level attained | ||||
| Secondary education | Ref | |||
| College/University education | 1.369(0.381,4.925) | .650 | ||
| Manipulated imposters, satire and fabricated contents | 1.20(1.124, 1.281) | <.001 | 1.175(1.082,1.276) | <.001 |
| False content with their connection | 1.542(1.332,1.784) | 1.379(1.169,1.627) | <.001 |