| Number of participants who used the app in each condition | 475 (95%) | 478 (95%) | 480 (96%) | 474 (96%) | |
| Age (years) (mean (SD)) | 39 ± 13 | 39 ± 12 | 40 ± 13 | 40 ± 12 | 0.71 |
| Gender |
| Male | 213 (45%) | 220 (46%) | 225 (47%) | 242 (51%) | 0.52 |
| Female | 261 (55%) | 257 (54%) | 255 (53%) | 231 (49%) |
| Ethnicity |
| White | 342 (72%) | 329 (69%) | 316 (66%) | 334 (70%) | 0.07 |
| Other | 132 (28%) | 141 (29%) | 153 (32%) | 130 (27%) |
| Not stated | 1 (0.2%) | 8 (2%) | 11 (2%) | 10 (2%) |
| Calculated BMI1 |
| < 18.5 | 13 (3%) | 10 (2%) | 25 (5%) | 10 (2%) | 0.18 |
| 18.5 to 24.9 | 185 (42%) | 185 (42%) | 190 (42%) | 175 (39%) |
| 25 to 29.9 | 123 (28%) | 133 (30%) | 134 (30%) | 147 (33%) |
| > 29.9 | 123 (28%) | 120 (27%) | 100 (22%) | 115 (26%) |
| Not stated | 31 (6%) | 30 (6%) | 31 (6%) | 29 (6%) |
| Education |
| Did not graduate high school | 12 (2.5%) | 5 (1%) | 7 (1.5%) | 11 (2%) | 0.54 |
| High school graduate certificate/equivalent | 79 (17%) | 75 (16%) | 87 (18%) | 67 (14%) |
| Trades certificate/diploma | 22 (4%) | 30 (6%) | 20 (4%) | 24 (5%) |
| Community/technical college or CEGEP | 123 (26%) | 124 (26%) | 127 (27%) | 122 (26%) |
| University (undergraduate degree) | 168 (35%) | 189 (40%) | 184 (38%) | 180 (38%) |
| Post-graduate degree (Master, PhD) | 70 (15%) | 54 (11%) | 54 (11%) | 68 (14%) |
| Newest Vital Sign Score (max 6) |
| Low (0–1) | 49 (10%) | 53 (11%) | 42 (8%) | 48 (10%) | 0.13 |
| Likely Low (2, 3) | 58 (12%) | 46 (10%) | 73 (15%) | 72 (15%) |
| Adequate (4–6) | 367 (77%) | 378 (79%) | 364 (76%) | 354 (75%) |
| Income |
| Under $49,999 | 129 (27%) | 127 (27%) | 122 (25%) | 131 (28%) | 0.04 |
| $50,000 to $99,999 | 177 (37%) | 180 (38%) | 206 (43%) | 154 (32%) |
| Over $100,000 | 132 (28%) | 129 (27%) | 120 (25%) | 161 (34%) |
| Don’t know | 6 (1%) | 13 (3%) | 6 (1%) | 3 (0.6%) |
| Refused | 31 (7%) | 29 (6%) | 26 (5%) | 25 (5%) |
