TABLE 1.
Control group | COVID-19 group | Differences between groups | ||
Age (years) | 25.40 ± 4.37 | 25.18 ± 4.97 | t = 0.29; p = 0.77; d = 0.05; 95% CI = −1.30 to 1.74 | |
Sex (n,%) | Male | 38 (52.8%) | 37 (47.4%) | χ2 = 0.44; p = 0.51 |
Female | 34 (47.2%) | 41 (52.6%) | ||
Type of sport | Individual | 50 (69.4%) | 47 (60.3%) | χ2 = 1.38; p = 0.24 |
Team | 22 (30.6%) | 31 (39.7%) | ||
Self-consideration of spor performance level | Amateur | 40 (55.6%) | 36 (46.2%) | χ2 = 1.44; p = 0.49 |
Semiprofessional | 29 (40.3%) | 39 (50.0%) | ||
Professional | 3 (4.2%) | 3 (3.8%) | ||
Self-consideration of stage in sport career | Beginning of high-level competition | 15 (20.8%) | 28 (35.9%) | χ2 = 5.29; p = 0.07 |
Top performance in high-level competition | 44 (61.1%) | 34 (43.6%) | ||
End of high-level competition | 13 (18.1%) | 16 (20.5%) | ||
Ongoing studies | Degree | 56 (77.8%) | 64 (82.1%) | χ2 = 0.43; p = 0.51 |
Master’s degree | 16 (22.2%) | 14 (17.9%) | ||
Employed | Yes | 25 (34.7%) | 30 (38.5%) | χ2 = 0.22; p = 0.63 |
No | 47 (65.3%) | 48 (61.5%) | ||
Study completion pace (years/level) | 1.88 ± 0.89 | 1.87 ± 1.14 | t = 0.02; p = 0.98; d = 0.01; 95% CI = −0.33 to 0.33 | |
Self-perception | Athlete-student | 18 (25.0%) | 17 (21.8%) | χ2 = 0.21; p = 0.64 |
Student-athlete | 54 (75.0%) | 61 (78.2%) | ||
Priority | Studies | 28 (38.9%) | 41 (52.6%) | χ2 = 2.82; p = 0.09 |
Athletic career | 44 (61.1%) | 37 (47.4%) | ||
Hours per week spent on studying | 9.87 ± 8.59 | 12.93 ± 8.60 | t = −2.15; p = 0.03; d = 0.36; 95% CI = −1.58 to 3.32 | |
Training sessions per week | Between 1 and 5 | 13 (18.1%) | 19 (24.4%) | χ2 = 1.51; p = 0.47 |
Between 6 and 10 | 38 (52.8%) | 42 (53.8%) | ||
More than 10 | 21 (29.2%) | 17 (21.8%) | ||
Training hours per week | Fewer than 5 | 0 (0.0%) | 1 (1.3%) | χ2 = 3.78; p = 0.44 |
Between 5 and 10 | 7 (9.7%) | 15 (19.2%) | ||
Between 11 and 15 | 18 (25.0%) | 17 (21.8%) | ||
Between 16 and 20 | 20 (27.8%) | 20 (25.6%) | ||
More than 20 | 27 (37.5%) | 25 (32.1%) |