Table 5. Results of the binary logistic regression analysis for event runners’ usage of apps, in odds ratios (Exp (β)) with regards to the reference group (ref.).
| Use of apps | ||||
|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | ||
| Constant | 1.958*** | 2.522*** | 1.111 | |
| Gender | Male | Ref. | Ref. | Ref. |
| Female | 1.046 | 1.171 | 1.147 | |
| Age | ≤ 35 year | Ref. | Ref. | Ref. |
| 36–45 year | 0.908 | 1.090 | 1.123 | |
| ≥ 46 year | 0.313*** | 0.424*** | 0.449*** | |
| Education | Lower or middle education | Ref. | Ref. | Ref. |
| Higher education | 0.964 | 0.884 | 0.860 | |
| Training frequency | ≤ 1x/week | Ref. | Ref. | |
| 2x/week | 1.103 | 1.128 | ||
| ≥ 3x/week | 0.792 | 0.855 | ||
| Organizational context | Individual | Ref. | Ref. | |
| Friends, colleagues, small groups | 0.919 | 0.899 | ||
| Clubs | 0.584*** | 0.556*** | ||
| Main sport | Main sport | Ref. | Ref. | |
| Not as a main sport | 1.434** | 1.402* | ||
| Event participation | 1x/year | Ref. | Ref. | |
| 2-4x/year | 0.757* | 0.744* | ||
| ≥5x/year | 0.545*** | 0.545*** | ||
| Attitudes toward running | Running as a sport that is easy to practice | 0.971 | ||
| Perceived advantages of running | 1.071 | |||
| Individual motives for quitting | 1.205** | |||
| Social motives for quitting | 1.050 | |||
| Nagelkerke R2 | 0.090 | 0.144 | 0.149 | |
* = p<0.05
** = p<0.01
*** = p<0.001