Table 3. Descriptive Traits of Participants (N = 2472).
| Factor | Mean (SD) or N (%) |
|---|---|
| Age | 48.07 (17.18) |
| Female | 1380 (55.83%) |
| Married | 1183 (47.86%) |
| Employed Full-Time | 853 (34.51%) |
| Less than 50K Income | 1194 (54.27%) |
| High School or Less | 864 (34.95%) |
| Some College or Associate Degree | 777 (31.43%) |
| Bachelor’s Degree or More | 831 (33.61%) |
| Conservative* | 575 (23.27%) |
| Religion Important* | 1536 (62.14%) |
| White | 617 (24.96%) |
| Black | 528 (21.36%) |
| Hispanic | 489 (19.78%) |
| Asian | 511 (20.67%) |
| Native American | 327 (13.23%) |
| Good Health* | 1897 (76.74%) |
| Have Provider* | 2001 (80.95%) |
| Trust Provider* | 1956 (79.13%) |
| Trust Hospital* | 1735 (70.21%) |
| Trust AI Companies* | 1346 (54.45%) |
Note: Factors shown with asterisk (*) are based on groupings in Likert-scales. For example, good health (1 = excellent/very good/good), religion viewed as important (1 = very/somewhat important), and conservative (very conservative/conservative). The trust measures (provider/hospital/AI companies) were grouped by selections of 1–5 on a -5 (complete distrust) to 5 (complete trust) scale. Income was measured on 16-point scale (from less than $10,000 to more than $500,000), education was measured on a 6-point scale (from less than high school to graduate school).