Table 2.
Logistic and linear regression coefficients for interest in (logistic) and value (linear) of free apps to increase physical activity and reduce sedentary behavior (N = 235).
| App to Increase physical activity |
App to reduce sedentary behavior |
|||
|---|---|---|---|---|
| Interest | Value | Interest | Value | |
| Intercept | 0.00 (1.84) | 0.22 (1.06) | − 2.18 (1.71) | − 0.47 (0.85) |
| Age | 0.03 (0.02) | 0.01 (0.01) | 0.02 (0.02) | 0.01 (0.01) |
| Sex | − 0.05 (0.46) | − 0.17 (0.27) | − 0.27 (0.44) | − 0.05 (0.22) |
| Body mass index | 0.00 (0.04) | 0.01 (0.02) | 0.01 (0.03) | 0.03 (0.02) |
| Parenthood | 0.62 (0.57) | − 0.31 (0.33) | 0.88 (0.54) | − 0.23 (0.27) |
| Lifetime history with activity-related disease or disorder (cancer, cardiovascular disease, depression, or diabetes) | 0.19 (0.39) | 0.30 (0.21) | 0.28 (0.38) | 0.23 (0.17) |
| 1 risk factor: insufficient physical activity | − 1.84 (0.67)⁎⁎ | 0.15 (0.32) | − 1.04 (0.53)⁎ | − 0.18 (0.25) |
| 1 risk factor: excessive sedentary behavior | − 0.87 (0.87) | 0.25 (0.43) | − 0.13 (0.67) | 0.03 (0.35) |
| 2 behavior risk factors: insufficient physical activity & excessive sedentary behavior | − 1.05 (0.73) | − 0.21 (0.34) | − 0.16 (0.59) | − 0.49 (0.27) |
| Perceived value of an app to increase physical activity | 0.76 (0.25)⁎⁎ | – | – | – |
| Perceived value of an app to reduce sedentary behavior | – | – | 2.55 (0.44)⁎⁎ | – |
| Interested in an app to increase physical activity | – | 1.05 (0.36)⁎⁎ | – | – |
| Interested in an app to reduce sedentary behavior | – | – | – | 1.26 (0.24)⁎⁎ |
⁎
p < .05.
⁎⁎
p < .01.