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. 2022 Mar 12;47(3):519–529. doi: 10.1007/s10900-022-01080-w

Table 4.

Differences amongst complacency consistent accepting, consistent non-accepting, and COVID-specific non-accepting

Complacency
Consistent acceptance Consistent non-acceptance COVID-specific non-acceptance
Age 46.04 (13.02)a 45.16 (11.50)a 43.51 (12.98)a
Gender (% women) 82.7% (3374)a 78.9% (71)a 85.8% (91)a
Race (% white) 84.7% (3526)a 70.3% (71)b 78.3% (90)b
Diagnosed with COVID-19 14.2% (590)a 26.3% (26)b 21.7% (25)b
Vaccinated 90.9% (3784)a 20.8% (21)b 28.7% (33)b
Clinical care position 50.0% (2062)a 50.0% (48)a 56.1% (64)a
Work with COVID-19 patients past 3 months 18.7% (779)a 39.6% (40)b 29.6% (34)c
Anticipated likelihood of infection 38.20 (28.68)a 44.64 (33.27)ab 46.45 (30.88)b
Anticipated severity of infection 33.81 (25.00)a 29.38 (26.19)b 28.42 (23.33)b
Fear of infection 47.54 (33.80)a 18.63 (27.36)b 25.46 (28.88)b
# Vaccine concerns endorsed 2.35 (1.52)a 3.20 (1.40)b 3.43 (1.21)b
# Vaccine reasons endorsed 3.51 (1.10)a 0.59 (1.22)b 1.31 (1.62)c
Always mask with non-family 63.6% (2633)a 25.3% (25)b 33.0% (38)b

Non-matching superscripts across rows indicate a significance difference in the groups (i.e., Consistent Acceptance, Consistent Non-Acceptance, or COVID-Specific Non-Acceptance). Rows which contain superscripts of a, b, and c, indicate that all three groups were significantly different from one another. Groups with a superscript of “ab” indicate that the group did not differ from either of the other two groups. Significance indicates a p-value less than 0.05