Table 4.

Multivariable logistic regressions (by separate blocks and overall) predicting negative COVID-19 vaccine intentions with sociodemographic and background characteristics, vaccine confidence and mistrust beliefs, perceived social norms, and neighborhood-level factors (n = 207).

	Negative Intentions a
	Separate Multivariable Models (by Block)		Final Multivariable Model
Predictor	OR (95% CI)	p-value	OR (95% CI)	p-value
Sociodemographic & Background Characteristics Block
Age	1.0 (1.0–1.0)	0.68
Male	0.5 (0.3–1.1)	0.10
Healthcare-related occupation	2.5 (1.0–6.4)	0.05
Negative COVID-19 impacts	1.2 (0.9–1.4)	0.18
Vaccine Confidence and Mistrust Beliefs Block
Confidence and Need	0.5 (0.3–0.9)	0.02	0.9 (0.5–1.7)	0.82
Government-related COVID-19 Mistrust	1.0 (0.6–1.7)	0.95
COVID-19 Vaccine Mistrust	2.8 (1.6–4.8)	<0.001	2.2 (1.2–3.9)	0.007
Race-based COVID-19 related Mistrust	0.8 (0.5–1.4)	0.43
Perceived Social Norms Block
Subjective social norm: friends b	1.0 (1.0–1.0)	0.30
Subjective social norm: family b	1.0 (1.0–1.0)	0.99
Subjective social norm: people close to you c	0.6 (0.4–0.8)	0.004	0.6 (0.4–0.7)	<0.001
Descriptive social norms: people in the U.S. c	1.1 (0.6–1.9)	0.80
Descriptive social norms: people of your own race c	0.9 (0.6–1.4)	0.62
Neighborhood-Level Factors Block
Socioeconomic status vulnerability	3.5 (1.2–10.4)	0.02	3.1 (0.9–11.0)	0.08

Note. Significant Odds Ratios (ORs) are bolded. For all model results N = 206 as response was missing for one individual. Overall weighted mean was imputed when predictors were missing; data were missing for n = 0 (for most items in this table) to n = 5 (3%; for healthcare-related occupation).

^aStrongly disagree/disagree (vs. strongly agree/agree or don't know) with the statement, “If a vaccine were available to prevent COVID-19, I would not get it.”.

^b0 = Not Important to 100 = Very Important.

^c1= Few (0–20%), 2 = Less than half (21–40%), 3 = Around half (41–60%), 4 = More than half (61–80%), 5 = Most or nearly all (81–100%).