Table 1. Demographic and sport-related characteristics in athletes and non-athletes. Data are means (±SD).
| Type of sports |
sample size |
age
(years)* |
duration
(years)* |
winning experience** |
| Endurance sports |
| Long distance running |
22 |
17.5 (.7) |
4.5 (1.0) |
8 |
| Power sports/combat |
95 |
17.6 (.7) |
4.8 (.1) |
34 |
| Taekwondo |
28 |
17.9 (.5) |
5.3 (.9) |
12 |
| Cireum |
20 |
17.4 (.6) |
4.8 (1.6) |
8 |
| Judo |
47 |
17.7 (1.0) |
4.4 (.8) |
14 |
| Power sports/individual |
94 |
17.6 (.8) |
4.4 (.4) |
38 |
| Throwing |
29 |
17.7 (.5) |
4.5 (1.6) |
15 |
| Swimming |
27 |
17.6 (.6) |
4.3 (1.2) |
9 |
| Golf |
38 |
17.4 (1.1) |
4.4 (1.2) |
14 |
| Team sports |
66 |
17.6 (.8) |
4.6 (.9) |
30 |
| Soccer |
20 |
17.4 (.6) |
5.1 (.9) |
8 |
| Rugby |
18 |
17.6 (.8) |
4.3 (.9) |
6 |
| Baseball |
28 |
17.9 (1.0) |
4.5 (.9) |
16 |
| Non athletes |
152 |
17.9 (.8) |
- |
- |
* ANOVA : p > 0.05** χ-test : p > 0.05.Duration: duration of athletic experiences, winning experience: the number of the winning experience in the final match or 1 in his major
