Table 2.
Sample characteristics of app-specific community users and nonusers (n=447).
| Characteristic | Community users (n=193) | Nonusers (n=254) | P valuea | Effect size, Φ | Effect size, Cohen d | |
| Age (years), n (%) | .005 | 0.16 | N/Ab | |||
|
|
18-25 | 34 (17.7) | 77 (30.4) |
|
|
|
|
|
>25-30 | 29 (15.1) | 46 (18.2) |
|
|
|
|
|
>30-40 | 59 (30.6) | 65 (25.7) |
|
|
|
|
|
>40 | 70 (36.2) | 65 (25.7) |
|
|
|
| Gender identity, n (%) | .05 | 0.09 | N/A | |||
|
|
Female | 159 (82.4) | 229 (90.2) |
|
|
|
|
|
Male | 29 (15.0) | 24 (9.4) |
|
|
|
| Ethnicity, n (%) | .45 | 0.11 | N/A | |||
|
|
White | 177 (91.7) | 231 (90.9) |
|
|
|
|
|
Asian | 9 (4.7) | 9 (3.5) |
|
|
|
|
|
Indian | 2 (1.0) | 4 (1.6) |
|
|
|
|
|
Other | 5 (2.6) | 10 (4.0) |
|
|
|
| Structured physical activity (min per week), mean (SD) | 357.6 (217.7) | 305.4 (196.3) | .009 | N/A | 0.25 | |
| Type of app, n (%) | .26 | 0.09 | N/A | |||
|
|
Tracking | 184 (95.3) | 234 (92.1) |
|
|
|
|
|
Guided workouts | 5 (2.6) | 14 (5.5) |
|
|
|
|
|
Tracking and workouts | 3 (1.6) | 2 (0.8) |
|
|
|
|
|
Other (booking classes or immersive games) | 1 (0.5) | 4 (1.6) |
|
|
|
| Physical activity app is used for, n (%) | .23 | 0.11 | N/A | |||
|
|
All daily activity | 18 (9.3) | 39 (15.3) |
|
|
|
|
|
Individual activities | 154 (80.0) | 184 (72.4) |
|
|
|
|
|
Group-based activities | 0 (0.0) | 1 (0.4) |
|
|
|
|
|
Gym-based activities | 10 (5.2) | 18 (7.1) |
|
|
|
|
|
Combination of individual and group-based and gym-based activities | 6 (3.1) | 6 (2.4) |
|
|
|
aStatistical significance is represented by P<.05.
bN/A: not applicable.