Table 3.
Associations between participant characteristics and peak of SARS-CoV-2 immunoglobin G antibody levels.
| Dependent variable: Peak of antibody level | Univariable | Bivariable |
|---|---|---|
| Variables | β (95% CI) | β (95% CI) after adjusting for fever |
| Fever (ref: no fever) | 24.2 (–32.6-80.9) | - |
| Female sex (ref: male sex) | –44.2 (–104.5-16.1) | –43.4 (–103.9-17.1) |
| Age (10-years increment) | 24.6 (5.7-43.5)* | 25.0 (6.0-43.9)* |
| Chronic disease (ref: no chronic disease) | 47.8 (–16.4-112.0) | 46.3 (–18.2-110.8) |
| Body mass index (5 kg/m² increment) | 40.0 (2.9-77.2)* | 42.2 (4.9-79.5)* |
| Current smoker (ref: not currently smoking) | –41.7 (–114.0-30.7) | –41.4 (–113.9-31.1) |
| -Smoking (5 cigarettes per day increment) | –8.2 (–40.8-24.3) | –10.0 (–40.9-20.9) |
| Current alcohol user (ref: currently no alcohol use) | 26.7 (–65.7-119.0) | 26.9 (–65.6-119.4) |
| - Alcohol quantity (7 alcohol units per week increment) | –15.0 (–36.4-6.5) | –15.0 (–36.4-6.5) |
In the second column, beta coefficients and their 95% CIs were calculated using a univariable linear regression model. The last column reports beta coefficients for the variable listed in the first column, after adjusting for severity of COVID-19-related symptoms (fever/no fever) using a bivariable linear regression model.
CI, confidence interval; β, beta coefficient; Ref, reference.
⁎
P <0.05.