Table 2. Multiple logistic regression analyses predicting vaccination status and intention (dichotomized) by demographics.

	Vaccinated (vs. Unvaccinated)			Leaning Toward (vs. Resistant)
	AOR	95% CI	p	AOR	95% CI	p
(Intercept)	4.37	3.70 – 5.16	< .001	1.56	1.15 – 2.11	.004
Age (ref = 18–25)
26–35	0.77	0.68 – 0.88	< .001	0.80	0.64 – 0.99	.045
36–45	0.84	0.74 – 0.96	.013	0.78	0.62 – 0.98	.032
46–55	1.10	0.96 – 1.27	.179	0.66	0.52 – 0.85	.001
56–64	1.51	1.30 – 1.77	< .001	0.69	0.52 – 0.92	.011
65–74	2.64	2.21 – 3.16	< .001	0.54	0.37 – 0.78	.001
75–84	3.32	2.54 – 4.41	< .001	0.56	0.31 – 0.99	.051
85+	1.21	0.97 – 1.51	.097	0.41	0.25 – 0.66	< .001
Gender (ref = Male)
Female	0.82	0.75 – 0.89	< .001	0.88	0.76 – 1.03	.114
Other	0.69	0.57 – 0.85	< .001	0.65	0.44 – 0.96	.034
Race (ref = White)
Black	0.78	0.68 – 0.89	< .001	1.37	1.09 – 1.72	.007
Latinx	1.13	0.98 – 1.29	.096	2.47	1.93 – 3.16	< .001
Asian	2.27	1.82 – 2.86	< .001	1.86	1.21 – 2.88	.005
NA/AN	0.84	0.65 – 1.09	.187	0.82	0.49 – 1.32	.430
Other	0.62	0.52 – 0.74	< .001	1.00	0.72 – 1.38	.988
Multi-racial	1.14	0.97 – 1.34	.122	1.30	0.97 – 1.73	.073
Education (ref = High school or less)
Tech/vocational training	1.05	0.93 – 1.20	.426	1.04	0.83 – 1.30	.709
College degree	1.52	1.37 – 1.69	< .001	1.08	0.89 – 1.30	.452
Masters or higher	1.89	1.64 – 2.17	< .001	0.72	0.55 – 0.95	.022
Living Location (ref = Large city)
Suburb	1.13	1.01 – 1.26	.033	1.05	0.86 – 1.29	.617
Town/village	0.93	0.83 – 1.05	.237	0.99	0.81 – 1.23	.949
Rural area/farm	0.80	0.71 – 0.91	< .001	0.75	0.60 – 0.94	.014
Political Leaning (ref = Democrat)
Independent, lean Democrat	0.81	0.69 – 0.96	.012	0.97	0.71 – 1.32	.824
Independent	0.42	0.37 – 0.47	< .001	0.64	0.52 – 0.80	< .001
Independent, lean Republican	0.31	0.26 – 0.36	< .001	0.48	0.36 – 0.63	< .001
Republican	0.37	0.33 – 0.42	< .001	0.41	0.32 – 0.52	< .001
Income (ref = Under $20,000)
$20,000 - $50,000	1.04	0.92 – 1.17	.523	0.79	0.64 – 0.96	.021
$50,001 - $75,000	1.05	0.92 – 1.20	.486	0.72	0.56 – 0.91	.006
$75,001 - $125,000	1.38	1.20 – 1.59	< .001	0.78	0.60 – 1.01	.062
$125,001 - $250,000	1.64	1.38 – 1.96	< .001	0.76	0.54 – 1.07	.116
Over $250,000	1.05	0.90 – 1.24	.534	0.69	0.51 – 0.94	.021

AOR = adjusted odds ratio. Ref = reference category. Income = annual household income. The AORs compare the given subgroup to the referent group, adjusting for all other variables in the model. For example, Asian respondents were 2.27 times more likely to be vaccinated than White respondents, adjusting for age, gender, education, living location, political leaning, and income. Model R² Nagelkerke were 0.13 and 0.08 for the vaccination status and vaccination intention models, respectively.