Table 5.
Binary logistic regression analysis with Ab positivity as dependent variable and potential confounders as independent variables.
| Variables | Male |
Female |
Total |
|||
|---|---|---|---|---|---|---|
| OR (95 % CI) | p | OR (95 % CI) | p | OR (95 % CI) | p | |
| Age, year | 0.97(0.92–1.01) | 0.138 | 1.00(0.97–1.04) | 0.957 | 0.98(0.96–1.01) | 0.224 |
| BMI | 1.08(0.98–1.17) | 0.125 | 1.03(0.96–1.10) | 0.410 | 1.03 (0 0.98–1.09) | 0.196 |
| Waist hip ratio | 1.17(2.29–6.01) | 0.026 | 0.64(0.01–49.55) | 0.838 | 7.03(0.33–150.95) | 0.212 |
| Comorbidity | 0.46(0.15–1.41) | 0.175 | 1.13(0.55–2.66) | 0.630 | 0.79(0.43–1.46) | 0.458 |
| COVID symptom positivity anytime | 2.15(0.73–6.35) | 0.167 | 0.85(0.42–1.72) | 0.643 | 1.21(0.69–2.10) | 0.507 |
| COVID report status anytime | 0.63(0.23–1.71) | 0.365 | 1.81(0.81–4.04) | 0.147 | 1.21(0.67–2.20) | 0.528 |
| Previous 3-month COVID symptom positivity | 15.24(1.54–151) | 0.020 | 1.28(0.54–3.31) | 0.578 | 1.88(0.92–3.83) | 0.083 |
| Previous 3-month COVID report status | 2.26(0.22–23.56) | 0.496 | 1.80(0.38–8.43) | 0.457 | 1.89(0.54–6.59) | 0.317 |
| Days after Dose1 vaccine | 1.00(0.99–1.01) | 0.323 | 1.00(0.99–1.00) | 0.346 | 1.00(0.99–1.00) | 0.503 |
| Days after Dose2 vaccine | 0.99(0.99–1.01) | 0.526 | 1.00(0.99–1.00) | 0.719 | 1.00(0.99–1.00) | 0.586 |
| Days after Dose 3 vaccine | 0.98(0.95–1.10) | 0.185 | 0.99(0.97–1.02) | 0.578 | 0.987 (0.97–1.00) | 0.136 |
| Vaccine Dose 3 Received | 0.45(0.09–2.22) | 0.324 | 0.43(0.12–1.54) | 0.195 | 0.415(0.16–1.08) | 0.071 |
| Constant | 0.000 | 0.030 | 0.516 | 0.827 | 0.101 | 0.324 |
Data were analyzed by Binary logistic regression analysis. Antibody positivity was considered as the dependent variable; OR, Odds Ratio; 95 % CI (95 % Confidence Interval); p < 0.05 was considered as statistically significant.