Table 5.
Binary Logistic Regression-Dependent Variable: Mode of Recruitment (Random = 0 vs. Self-Selected = 1) |
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---|---|---|---|---|---|---|
Explanatory variables | Univariable | Multivariable | ||||
OR | 95% CI | p | OR | 95% CI | p | |
Age | 0.99 | 0.98 to 0.99 | * | 0.98 | 0.98 to 0.99 | * |
Body mass index | 0.99 | 0.98 to 1.00 | NS | X | X | X |
IgM ratio | 0.99 | 0.90 to 1.09 | NS | X | X | X |
IgG ratio | 1.20 | 1.14 to 1.26 | * | 1.08 | 1.03 to 1.15 | * |
Gender male vs. female | 0.70 | 0.61 to 0.80 | * | 0.76 | 0.64 to 0.89 | * |
Comorbidities Yes vs. No | 0.68 | 0.57 to 0.81 | * | 0.90 | 0.71 to 1.12 | NS |
Month of serological examination | ||||||
November vs. October | 38.09 | 28.75 to 51.35 | * | 35.52 | 26.48 to 48.78 | * |
December vs. October | 361.41 | 218.45 to 624.13 | * | 411.58 | 246.24 to 727.09 | * |
Professional activity | ||||||
Has a job vs. has no job | 2.01 | 1.77 to 2.31 | * | 1.92 | 1.62 to 2.28 | * |
Works and studies vs. has no job | 3.60 | 1.75 to 8.70 | * | 2.53 | 1.13 to 6.80 | 0.039 |
Contact with a confirmed COVID-19 case | ||||||
No vs. do not know | 0.61 | 0.52 to 0.73 | * | 0.67 | 0.55 to 0.83 | * |
Yes vs. do not know | 2.36 | 1.89 to 2.95 | * | 1.49 | 1.15 to 1.95 | 0.002 |
Post-contact test | ||||||
No vs. do not know | 0.98 | 0.60 to 1.54 | NS | X | X | X |
Yes vs. do not know | 1.39 | 0.84 to 2.26 | NS | X | X | X |
Vaccinated against tuberculosis | ||||||
No vs. do not know | 0.79 | 0.60 to 1.03 | 0.08 | 0.98 | 0.69 to 1.40 | NS |
Yes vs. do not know | 1.54 | 1.31 to 1.80 | * | 1.43 | 1.18 to 1.75 | * |
Vaccinated against seasonalinfluenza last year | ||||||
No vs. do not know | 1.16 | 0.38 to 3.00 | NS | X | X | X |
Yes vs. do not know | 1.79 | 0.57 to 4.69 | NS | X | X | X |
Legend: OR—odds ratio; CI—confidence interval; p—level of significance; *—p-value ≤ 0.001; NS—p-value > 0.1; X—not included in the multivariable model.