Table 1.
Main features of the sample and propensity for COVID-19 vaccination according to several socio-demographic determinants.
| Feature | Total N (%) | Propensity for COVID-19 Vaccination N (%) |
p |
|---|---|---|---|
| 443 | 335 (75.6) | ||
| Age | χ2 = 16.96, 1 df p < 0.001 | ||
| <40 | 224 (50.6) | 188 (83.9) | |
| ≥40 | 219 (49.4) | 147 (67.1) | |
| City | χ2 = 3.06, 1 df p = 0.080 | ||
| Palermo | 217 (49) | 172 (79.3) | |
| Bologna | 226 (51) | 163 (72.1) | |
| Gender | χ2 = 6.08, 1 df p = 0.014 | ||
| Male | 193 (43.6) | 157 (81.4) | |
| Female | 250 (56.4) | 178 (71.2) | |
| Level of education a | χ2 = 1.86, 1 df p = 0.172 | ||
| <High School Diploma | 227 (51.7) | 165 (72.7) | |
| ≥High School Diploma | 212 (48.3) | 166 (78.3) | |
| Propensity for Influenza vaccination a | χ2 = 36.01, 1 df p < 0.001 | ||
| No | 240 (54.7) | 154 (64.2) | |
| Yes | 199 (45.3) | 177 (88.9) |
a Total may not be equal to “N” due to missing data.