Table 4.

Summary of linear regression analysis demonstrating perceived COVID-19 vulnerability adjusted for confounding.

	β	SE B	t	95% CI	P Value
Outcome:
COVID-19 Vulnerability
(n = 446)
Model					0.002
Age	−0.01	0.00	−2.06	−0.01, −0.00	0.040
Female Sex	0.07	0.06	1.12	−0.06, 0.20	0.263
Education: Degree	−0.10	0.07	−1.35	−0.24, 0.04	0.178
Advanced Degree	−0.13	0.11	−1.25	−0.35, 0.08	0.211
Health Condition	0.26	0.07	3.39	0.11, 0.40	0.001
Positive Infection History	0.08	0.08	0.91	−0.09, 0.25	0.361
Social Media Exposure	0.05	0.03	1.69	−0.01, 0.10	0.091

Note. Sex was coded dichotomously such that 0 = Male and 1 = Female; three HCWs who preferred not to answer or selected third gender were not included in this model due to small numbers. Education was coded such that 0 = no degree program; 1 = degree program and 2 = advanced degree program; 7 HCWs with “other” responses were not included in this model due to small numbers. Positive Infection History was coded such that 0 = no infection history and/or did not get tested for COVID-19 and 1 = tested positive for COVID-19. Age was analyzed as a continuous variable; subjects provided their age in response to the question “How old are you?”