Table 3.
Logistic regression analysis for sex, age, and health conditions for prediction of intention to be vaccinated against COVID-19
| Vaccine intention a |
||
|---|---|---|
| Variable | OR [95% CI] | p-Value |
| Sex | ||
| Male | Ref a | |
| Female | 0.67 [0.50–0.90] | 0.008* |
| Age (years) | ||
| 18–44 | Ref a | |
| 45–64 | 0.86 [0.64–1.15] | 0.314 |
| 65 | 0.58 [0.31–1.06] | 0.078 |
| Number of health conditions | ||
| None | Ref a | |
| 1–2 | 0.93 [0.70–1.24] | 0.626 |
| ≥3 | 0.56 [0.28–1.31] | 0.106 |
aResponses to vaccine intention question was dichotomized to ‘Likely to get vaccine’ as extremely/somewhat likely to get vaccinated (n = 479) versus ‘Not likely to get vaccine’ as unsure/somewhat unlikely/extremely unlikely (n = 383).
*p < 0.05; a Reference Category; OR = odds ratio; CI = confidence interval.