Table 1.
Participant demographic data (N = 305)
| Characteristic | Participants, n (%) |
|---|---|
| Age | |
| 18–29 | 6 (2.0) |
| 30–49 | 81 (26.6) |
| 50–64 | 106 (34.8) |
| 65 + | 112 (36.7) |
| Race/ethnicity | |
| White | 276 (90.5) |
| Hispanic or Latino | 6 (2.0) |
| Black or African American | 13 (4.3) |
| Native American or American Indian | 2 (0.7) |
| Asian or Pacific Islander | 3 (1.0) |
| Other | 5 (1.6) |
| Education level | |
| Less than high school diploma | 1 (0.3) |
| High school or equivalent | 24 (7.9) |
| Some college, no degree | 63 (20.7) |
| Associate degree | 33 (10.8) |
| Bachelor’s degree | 91 (29.8) |
| Master’s degree | 72 (23.6) |
| Professional degree | 13 (14.3) |
| Doctorate degree | 8 (2.6) |
| Healthcare provider? | |
| Yes | 53 (17.5) |
| No | 249 (81.6) |
| No answer | 3 (1.0) |
| Employment status | |
| Employed full time (40 + hours/week) | 111 (36.4) |
| Employed part time (< 40 h/week) | 28 (9.2) |
| Unemployed (looking for work) | 9 (3.0) |
| Unemployed (not looking for work) | 26 (8.5) |
| Student | 1 (0.3) |
| Retired | 116 (38.0) |
| Unemployed | 13 (4.3) |
| No answer | 1 (0.3) |
| Income | |
| Less than $10,000 | 4 (1.3) |
| $10,000–50,000 | 75 (24.6) |
| $50,000–100,000 | 89 (29.2) |
| $100,000–150,000 | 55 (18.0) |
| $150,000+ | 46 (15.1) |
| I don’t know/prefer not to say | 36 (11.8) |
| COVID-19 Exposure: personal | |
| Yes | 27 (8.9) |
| No | 278 (91.1) |
| COVID-19 Exposure: acquaintance | |
| Yes | 117 (38.4) |
| No | 187 (61.3) |
| No answer | 1 (0.3) |
| At risk for COVID-19 complications | |
| Yes | 217 (71.1) |
| No | 88 (28.9) |