Table 3.
Simple and multiple Logistic Regression analysis on the association between willingness to receive the vaccine and demographic variables
| Variable | Crude | Adjusted | |||
|---|---|---|---|---|---|
| OR (95% CI) | P value | OR (95% CI) | P value | ||
| Age category (year) | 20-29 | Reference | - | NA‡ | NA |
| 30-39 | 0.97 (0.79, 1.19) | 0.797 | NA | NA | |
| 40-49 | 1.03 (0.82, 1.29) | 0.818 | NA | NA | |
| ≥50 | 1.02 (0.74, 1.40) | 0.935 | NA | NA | |
| Sex | Men | Reference | - | Reference | - |
| Women | 0.58 (0.48, 0.71) | <0.001 | 0.55 (0.44, 0.67) | <0.001 | |
| Job category | Non-related Covid-19 hospital staff | Reference | - | Reference | - |
| Administrative employees | 0.71 (0.52, 0.99) | 0.045 | 0.62 (0.45, 0.87) | 0.005 | |
| Employees in health and prevention | 0.95 (0.71, 1.28) | 0.766 | 0.91 (0.67, 1.22) | 0.514 | |
| Staff who directly involved in patients with COVID-19 | 1.12 (0.89, 1.41) | 0.343 | 1.10 (0.87, 1.38 | 0.440 | |
| Other categories | 0.97 (0.69, 1.34) | 0.867 | 0.81 (0.37, 1.75) | 0.589 | |
| Employees in logistic and financial department | 1.07 (0.51, 2.29) | 0.999 | 0.92 (0.55, 1.28) | 0.626 | |
| Retired | 2.58 (0.75, 8.88) | 0.146 | 1.93 (0.57, 6.79) | 0.306 | |
| History of COVID-19 infection | No | Reference | - | NA | NA |
| Yes | 0.97 (0.81, 1.16) | 0.754 | NA | NA | |
| Underlying diseases | No | Reference | - | NA | NA |
| Yes | 0.852 (0.67, 1.09) | 0.204 | NA | NA | |
| Source of information | Radio and TV programs | Reference | - | Reference | - |
| Health workers | 1.08 (0.85, 1.39) | 0.568 | 1.11 (0.90, 1.43) | 0.404 | |
| Reputable news agency | 1.25 (0.94, 1.68) | 0.142 | 1.21 (0.89, 1.63) | 0.201 | |
| Social media | 0.91 (0.71, 1.17) | 0.473 | 0.89 (0.68, 1.15) | 0.354 | |
| Articles | 0.88 (0.68, 1.13) | 0.337 | 0.83 (0.64, 1.08) | 0.160 | |
| Others | 0.42 (0.16, 1.07) | 0.071 | 0.39 (0.15, 1.02) | 0.055 | |
‡
not applicable to include in the logistic regression model. Hosmer-Lemeshow test for goodness of fit of the model (P=0.499)