Table 3.
Logistic regression on COVID-19 vaccination hesitancy.
| Exp(B) | 95% CI | Sig. | |
|---|---|---|---|
| Average concerns, vaccines ꝉ | 2.805 | 1.924–4.090 | < .001∗∗∗ |
| Average concerns, COVID-19 ꝉ | .713 | .563–.902 | .005∗∗ |
| Tested for COVID-19 (Referent: Not tested) | .350 | .126–.972 | .044∗ |
| Trust in experts ꝉ | .780 | .704–.863 | < .001∗∗∗ |
| Low health literacy ꝉ | .785 | .578–1.067 | .122 |
| Female (Referent: Not female) | 1.889 | .957–3.729 | .067 |
| Age (Referent: 65+) | |||
| 18–34 | 4.335 | .432–43.485 | .213 |
| 35–64 | 3.318 | .342–32.195 | .301 |
| White, non-Hispanic (Referent: Non-white) | 1.870 | .833–4.200 | .129 |
| Bachelor's degree+ (Referent: < Bachelor's) | .469 | .235–.939 | .033∗ |
| Not employed (Referent: Employed) | 1.517 | .682–3.375 | .307 |
| Income over 40K (Referent: Income <40K) | .771 | .392–1.519 | .453 |
| Democrat (referent: Not Democrat) | .431 | .215–.863 | .018∗ |
| Rural (Referent: Urban) | .868 | .403–1.869 | .718 |
| Health condition (Referent: No condition) | 1.269 | .610–2.639 | .524 |
| Constant | .133 | .249 |
Note. Vaccination hesitancy was analyzed as a binary variable where responses including “unsure,” “probably no,” and “definitely no” were coded as hesitant. ꝉ Indicates a continuous variable. ∗p ≤ .05, ∗∗p ≤ .01, ∗∗∗p ≤ .001. Nagelkerke R2 = 0.526.