|
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%)
|
