Table 1.
Variable | Participants (N = 37) |
---|---|
Sex | F = 15 |
M = 22 | |
Age | |
Mean (SD) | 57.7 (4.3) |
<55 years | N = 7 (19 %) |
ASA classification | N (%) |
1 | 9 (24) |
2 | 23 (62) |
3 | 5 (14) |
4 | 0 (0) |
Type of work (ISCO-08) | |
Unemployed/early retired | 2 |
Disabled | 3 |
1. Managers | 1 |
2. Professionals | 2 |
3. Technicians & associate professionals | 5 |
4. Clerical support workers | 2 |
5. Service & sales workers | 9 |
6. Skilled agricultural, forestry and fishery workers | 1 |
7. Craft and related trades workers | 8 |
8. Plant & machine operators, and assemblers | 2 |
9. Elementary occupations | 2 |
Type of sports | |
Walking | 6 |
Cycling | 6 |
Swimming | 4 |
Running | 3 |
Soccer | 3 |
(Cardio-) fitness/bodybuilding | 3 |
Skiing | 4 |
Hiking | 4 |
Tennis | 2 |
Squash | 2 |
Mountain biking | 2 |
Shooting | 1 |
Rally racing | 1 |
Billiards | 1 |
Sailing | 1 |
Jeu de boules | 1 |
Mountain climbing | 1 |
Horseback riding | 1 |
Golf | 1 |
Ice skating | 1 |
Total | 50 |
Impact of sports* | N (%) |
Low-impact | 24 (48) |
Intermediate-impact | 16 (32) |
High-impact | 10 (20) |
* According to Vail et al. [46]