Adjusted odds ratios (ORs) and their 95% confidence intervals (CIs) for the association between sociodemographic and socioeconomic characteristics and the odds of not having received a first dose of COVID-19 vaccine, Belgium, 28 December 2020 to 31 August 2021
| Variables | Model 1* | Model 2† | Model 3‡ |
| Adjusted OR (95% CI) | Adjusted OR (95% CI) | Adjusted OR (95% CI) | |
| Age groups | |||
| 18–24 | 4.78 (4.66 – 4.89) | – | – |
| 25–34 | 5.49 (5.37 – 5.62) | 5.98 (5.84 – 6.12) | 2.75 (2.71 – 2.78) |
| 35–44 | 3.89 (3.80 – 3.99) | 4.22 (4.12 – 4.32) | 1.97 (1.94 – 1.99) |
| 45–54 | 2.67 (2.60 – 2.73) | 2.83 (2.76 – 2.90) | 1.34 (1.32 – 1.36) |
| 55–64 | 2.15 (2.10 – 2.21) | 2.23 (2.18 – 2.29) | 1.00 |
| 65–74 | 1.43 (1.40 – 1.47) | 1.47 (1.43 – 1.51) | – |
| 75–84 | 1.00 | 1.00 | – |
| 85+ | 1.19 (1.14 – 1.23) | 1.15 (1.11 – 1.20) | – |
| Sex | |||
| Women | 1.00 | 1.00 | 1.00 |
| Men | 1.05 (1.04 – 1.06) | 0.99 (0.98 – 1.00) | 1.07 (1.06 – 1.07) |
| Regions | |||
| Flemish | 1.00 | 1.00 | 1.00 |
| Brussels | 1.80 (1.78 – 1.81) | 1.76 (1.74 – 1.78) | 1.77 (1.75 – 1.78) |
| Walloon | 1.63 (1.62 – 1.64) | 1.67 (1.66 – 1.68) | 1.67 (1.66 – 1.68) |
| Migration background | |||
| Belgian natives | 1.00 | 1.00 | 1.00 |
| Second-generation migrants | 2.25 (2.23 – 2.28) | 1.94 (1.91 – 1.96) | 2.12 (2.09 – 2.15) |
| First-generation European migrants | 2.90 (2.88 – 2.93) | 2.64 (2.62 – 2.67) | 3.10 (3.07 – 3.13) |
| First-generation non-European migrants | 2.98 (2.95 – 3.00) | 2.76 (2.73 – 2.78) | 3.45 (3.42 – 3.48) |
| Household type | |||
| Couples with children | 1.00 | 1.00 | 1.00 |
| Couples without children | 0.88 (0.87 – 0.89) | 0.84 (0.83 – 0.84) | 0.83 (0.82 – 0.84) |
| Single parents | 1.27 (1.26 – 1.29) | 1.32 (1.30 – 1.33) | 1.49 (1.47 – 1.51) |
| One-person households | 1.18 (1.17 – 1.19) | 1.17 (1.16 – 1.18) | 1.26 (1.25 – 1.27) |
| Collectivity | 0.63 (0.60 – 0.65) | 0.61 (0.58 – 0.63) | 0.53 (0.50 – 0.56) |
| Other | 1.23 (1.21 – 1.25) | 1.24 (1.22 – 1.26) | 1.21 (1.19 – 1.23) |
| Missing | 1.04 (1.01 – 1.08) | 1.04 (1.00 – 1.08) | 1.16 (1.13 – 1.18) |
| Income | |||
| High | 1.00 | 1.00 | – |
| Moderate | 1.54 (1.52 – 1.55) | 1.44 (1.43 – 1.46) | – |
| Low | 2.36 (2.34 – 2.38) | 2.08 (2.06 – 2.10) | – |
| Missing | 1.93 (1.89 – 1.96) | 1.68 (1.65 – 1.71) | – |
| Education level | |||
| High | – | 1.00 | – |
| Moderate | – | 1.31 (1.30 – 1.32) | – |
| Low | – | 1.37 (1.36 – 1.39) | – |
| Missing | – | 1.19 (1.18 – 1.21) | – |
| Healthcare degree | |||
| Yes | – | 1.00 | – |
| No | – | 1.41 (1.39 – 1.43) | – |
| Employment status | |||
| Employed | – | – | 1.00 |
| Unemployed | – | – | 1.46 (1.45 – 1.47) |
| Missing | – | – | 1.16 (1.13 – 1.18) |
*Logistic regression model applied on all age groups (n=5 342 110). ORs are adjusted for age, sex, region, migration background, household type and income.
†Logistic regression model applied only to individuals aged over 25 years (n=4 696 694). ORs are adjusted for age, sex, region, migration background, household type, income, education level and healthcare degree.
‡Logistic regression model applied only to individuals aged 25 to 65 years (n=3 792 100). ORs are adjusted for age, sex, region, migration background, household type and employment status. Income being strongly correlated with employment status, OR are not adjusted for income when employment status is included in the model.