Table 2.
Multinomial logistics regression analysis for predicting Group 2 (High adverse event group) (n = 1,015).
| RRR (95% CI) | p value | |
|---|---|---|
| Age | 0.93 (0.917–0.938) | <0.001 |
| Sex (female) | 2.35 (1.723–3.206) | <0.001 |
| Vaccination kind of fourth dose (Moderna) | 1.08 (0.762–1.523) | 0.68 |
| Vaccination kind of third dose (Moderna) | 0.82 (0.590–1.137) | 0.23 |
| Daily medicine (yes) | ||
| Steroid | 0.34 (0.109–1.087) | 0.069 |
| Immunosuppression | 0.63 (0.141–2.854) | 0.55 |
| Biologics | 4.47 (0.420–47.728) | 0.22 |
| Comorbidity (yes) | ||
| Asthma | 1.62 (0.802–3.257) | 0.179 |
| Rheumatism | 0.53 (0.155–1.796) | 0.31 |
| Antigen Disease | 1.06 (0.134–8.437) | 0.95 |
| Allergy | 2.12 (1.064–4.210) | 0.033 |
| Immunological Disorder | 31,161.37 (0) | 0.99 |
95% CI, 95% confidence interval; RRR, Relative Risk Ratios.
The results of the multinomial logistic regression analysis conducted with Group 1 as the reference group. RRR indicates Relative Risk Ratios in the Multinomial logistics regression analysis. Coefficient (95% CI) is the Coefficient in the Multiple regression analysis, where 95% CI indicates the Confidence Interval.