Table 3.
Binary logistic regression analysis for variables and knowledge level (n = 2176)
Variables | β | SE | Wald | p | OR | 95% CI | |
---|---|---|---|---|---|---|---|
Gender | Male | Reference group | |||||
Female | 0.085 | 0.154 | 0.306 | 0.580 | 1.089 | 0.805 ~ 1.473 | |
Age | ≤39 | Reference group | |||||
40–49 | −1.014 | 0.223 | 20.748 | 0.000 | 0.363 | 0.234 ~ 0.561 | |
≥50 | −0.978 | 0.209 | 21.874 | 0.000 | 0.376 | 0.250 ~ 0.566 | |
Marital status | Unmarried | Reference group | |||||
Married | −1.297 | 0.421 | 9.471 | 0.002 | 0.273 | 0.120 ~ 0.624 | |
Divorce | −1.399 | 0.628 | 4.970 | 0.026 | 0.247 | 0.072 ~ 0.844 | |
Widowed | −1.537 | 0.740 | 4.312 | 0.038 | 0.215 | 0.050 ~ 0.917 | |
Education | Junior middle school or below | Reference group | |||||
Senior middle school | 0.404 | 0.171 | 5.589 | 0.018 | 1.498 | 1.072 ~ 2.094 | |
Associate’s degree or above | 1.441 | 0.215 | 44.721 | 0.000 | 4.224 | 2.769 ~ 6.443 | |
Region | Southern Anhui | Reference group | |||||
Central Anhui | −0.577 | 0.211 | 7.451 | 0.006 | 0.561 | 0.371 ~ 0.850 | |
Northern Anhui | −0.117 | 0.210 | 0.310 | 0.578 | 0.890 | 0.590 ~ 1.342 | |
Residence | Rural | Reference group | |||||
Urban | 0.636 | 0.188 | 11.477 | 0.001 | 1.888 | 1.307 ~ 2.727 | |
Suburbs | 0.405 | 0.206 | 3.852 | 0.050 | 1.500 | 1.001 ~ 2.247 | |
Have you heard of COVID-19 vaccine before this survey? | No | Reference group | |||||
Yes | 1.260 | 0.372 | 11.472 | 0.001 | 3.525 | 1.700 ~ 7.308 | |
Did you know the vaccine was effective in preventing COVID-19 before this survey? | No | Reference group | |||||
Yes | 0.661 | 0.311 | 4.512 | 0.034 | 1.937 | 1.052 ~ 3.564 |