Table 4.

Proportion of participants reporting wearing face coverings always or most of the time when around others, by demographic characteristics (n = 719 participants)^a

Variable	Sample size	No. (%) wearing face coverings always or most of the time	Average marginal effectb (95% CI)
Age
14–17 years	240	210 (87.5%)	Reference
18–24 years	479	431 (90.0%)	5.2 (−2.3, 12.6)
Gender
Female	372	335 (90.1%)	Reference
Male	287	249 (86.8%)	−4.1 (−9.4, 1.2)
Other	60	57 (95.0%)	5.3 (−.1, 11.3)
Race/ethnicity
Non-Hispanic white	400	346 (86.5%)	Reference
Non-Hispanic black	60	52 (86.7%)	1.1 (−8.7, 10.9)
Hispanic/any race	94	88 (93.6%)	8.2 (2.1, 14.2)
Non-Hispanic Asian	103	99 (96.1%)	10.3 (5.2, 15.4)
Other or multiracial/non-Hispanic	61	55 (90.2%)	4.0 (−4.4, 12.4)
Missing	1	1 (100.0%)	N/A
Participant education level
Less than high schoolc	254	227 (89.4%)	Reference
High school graduate	114	102 (89.5%)	−1.7 (−8.4, 5.0)
Some college or technical school	222	193 (86.9%)	−6.5 (−14.1, 1.1)
Associate's or technical school graduate	25	24 (96.0%)	4.5 (−4.7, 13.8)
Bachelor's degree or higher	104	95 (91.4%)	−2.1 (−10.8, 6.6)
Region
Northeast	106	96 (90.6%)	Reference
Midwest	251	225 (89.6%)	−.7 (−7.4, 5.9)
South	200	171 (85.5%)	−5.0 (−12.3, 2.3)
West	162	149 (92.0%)	−.1 (−7.4, 7.2)
Free lunch status while in high school
No	449	401 (89.3%)	Reference
Yes	263	233 (88.6%)	−2.0 (−7.3, 3.3)
Missing	7	7 (100.0%)	N/A

N/A, not applicable.

^a7 participants with missing data for race/ethnicity and/or free lunch status were excluded from the sample when conducting the regression analysis. Consequently, the sample size for the regression was 712.

^bAverage marginal effects represent the absolute change in the predicted probability of the outcome if all respondents had a particular value of the categorical variable compared with the reference category, holding other variables at their observed values.

^cIncludes participants still in high school.