Table 3.
Participants' demographics.
| Criterion | Subgroup | Number | Percent |
|---|---|---|---|
| Male | 118 | 57.84 | |
| Gender | Female | 78 | 38.24 |
| Others | 8 | 3.92 | |
| 18–24 | 1 | 0.49 | |
| 25–34 | 41 | 20.10 | |
| Age | 35–44 | 69 | 33.82 |
| 45–54 | 53 | 25.98 | |
| 55+ | 20 | 9.80 | |
| Unspecified | 11 | 5.39 | |
| Technical/Trade | 5 | 2.45 | |
| High School | 39 | 19.12 | |
| Bachelor | 107 | 52.45 | |
| Education | Master | 34 | 16.67 |
| Doctorate | 4 | 1.96 | |
| PhD | 6 | 2.94 | |
| Other | 9 | 4.41 | |
| 1–5 | 30 | 14.71 | |
| 6–10 | 95 | 46.57 | |
| Years using smartphone | 11-20 | 64 | 31.37 |
| >20 | 8 | 3.92 | |
| Unspecified | 7 | 3.43 | |
| Country of origin | Canada | 158 | 77.45 |
| Other | 46 | 22.55 | |
| COVID Alert | 65 | 31.86 | |
| Adoption status | Other ENA/CTA | 17 | 8.33 |
| Non-adopter | 116 | 56.86 | |
| Unspecified | 6 | 2.94 | |
| No-exposure | 33 | 16.18 | |
| Control design | Exposure | 36 | 17.65 |
| Diagnosis-report | 32 | 15.69 | |
| No-exposure | 35 | 17.16 | |
| Persuasive design | Exposure | 39 | 19.12 |
| Diagnosis-report | 29 | 14.22 |