Participant characteristics
| Characteristics | Count (%) |
| Gender | |
| Female | 12 (54.5) |
| Male | 9 (41) |
| Non-binary | 1 (4.5) |
| Racial group | |
| White | 7 (31.8) |
| Asian | 6 (27.3) |
| Chinese | 3 (13.6) |
| Arab | 2 (9.1) |
| Indian | 2 (9.1) |
| Black | 2 (9.1) |
| Highest level of education | |
| High school | 2 (9.1) |
| Undergraduate degree | 14 (63.6) |
| Master’s degree | 6 (27.3) |
| Faculty | |
| Engineering | 8 (36.4) |
| Science | 5 (22.7) |
| Applied health sciences | 3 (13.6) |
| Environment | 3 (13.6) |
| Arts | 2 (9.1) |
| Mathematics | 1 (4.5) |
| Self-perceived health | |
| Excellent | 2 (9.1) |
| Very good | 11 (50) |
| Good | 5 (22.7) |
| Fair | 4 (18.2) |
| Poor | 0 (-) |