Table 3.
Summary of factors associated with hesitancy toward COVID-19 vaccine booster shots in China by stepwise logistic regression model.
| Characteristics | Adjusted odds ratio (95%CI) | p value |
|---|---|---|
| Social media use on acquiring COVID-19 vaccine information | ||
| Traditional media or from friends and family members | 4.115 (1.497–10.869) | .005 |
| Official social media | 0.676 (0.472–0.958) | .030 |
| Professional social media | 1.595 (0.841–2.891) | .137 |
| Public social media | Reference | |
| Perceived importance of social media in influencing attitudes about COVID-19 vaccine booster shots | ||
| Unimportant | Reference | |
| Moderate | 1.131 (0.664–1.986) | .658 |
| Important | 0.233 (0.137–0.407) | <.001 |
| Very important | 0.066 (0.033–0.130) | <.001 |
| Monthly income (RMB) | ||
| ≤3,000 | Reference | |
| 3,001–5,000 | 2.854 (1.561–5.281) | <.001 |
| 5,001– 10,000 | 2.883 (1.568–5.389) | <.001 |
| 10,000– 20,000 | 2.312 (1.145–4.682) | .019 |
| >20,000 | 1.851 (0.550–5.319) | .280 |
| Occupation | ||
| Employed | Reference | |
| Unemployed | 2.428 (1.590–3.670) | <.001 |
| Scores of knowledge | 0.917 (0.869–0.968) | .002 |
| Cues to action | 0.773 (0.689–0.869) | <.001 |
p < .05 are marked in bold.