Table 1.
Sociodemographic characteristics of the participants and distribution of CF athletes who reported current use/no use of supplements
| Frequency % (n) | p value | ||
|---|---|---|---|
| Supplement users | Non-supplement users | ||
| Use of supplements (n; %) | 77.7 (87) | 22.3 (25) | |
| Gender (n; %) | |||
| Male | 57.5 (50) | 28.0 (7) | 0.009 |
| Female | 42.5 (37) | 72.0 (18) | |
| Age (years) | 28.2 ± 6.6 | 31.3 ± 10.1 | 0.076 |
| Weight (kg) | 74.1 ± 17.3 | 76.8 ± 21.8 | 0.530 |
| Height (cm) | 170 ± 10.1 | 172 ± 12.3 | 0.517 |
| BMI (kg/m2) | 25.4 ± 4.55 | 25.8 ± 5.79 | 0.732 |
| Type of supplements (n; %) | |||
| Performance enhancement | 34.9 (65) | - | |
| Micronutrients | 7 (13) | - | |
| Improve recovery | 7.5 (14) | - | |
| Body composition changes | 38.7 (72) | - | |
| Low-level evidence-based supplements | 11.8 (22) | - | |
| CrossFit levels (n; %) | |||
| Scale | 11.5 (10) | 40.0 (10) | 0.002 |
| RX | 51.7 (45) | 48.0 (12) | |
| Elite | 36.8 (32) | 12.0 (3) | |
| CrossFit practice goals (n; %) | |||
| Changes in body composition | 53 (67.9) | 16 (80) | 0.003 |
| Improve exercise performance | 24 (30.8) | 1 (5) | |
| Improve quality of life | 1 (1.3) | 3 (15) | |
| Reasons to supplementation (n; %) | |||
| Exercise performance | 47 (54) | - | |
| Augment muscle mass | 29 (33.3) | - | |
| Reduces body fat | 8 (9.2) | - | |
| Injury prevention | 3 (3.4) | - | |
| Month income (n; %) | |||
| < 1 salaries | 11.6 (13) | 0.89 (1) | 0.204 |
| 1–2 salaries | 14.24 (16) | 4.46 (5) | |
| 3–4 salaries | 23.21 (26) | 8.92 (10) | |
| 5–9 salaries | 18.75 (21) | 6.25 (7) | |
| ≥ 10 salaries | 9.82 (11) | 1.78 (2) | |
| Diseases (n; %) | |||
| Type 2 diabetes mellitus | 0.9 (1) | 99.1 (111) | 0.061 |
| Type 1 diabetes mellitus | 0 | 0 | - |
| Systemic arterial hypertension | 0.9 (1) | 99.1 (111) | 0.590 |
| Dyslipidemias | 1.8 (2) | 98.2 (110) | 0.348 |
| Smoking (n; %) | 2.7 (3) | 97.3 (109) | 0.657 |
| Sleep-related parameters | |||
| Duration (h) | 7.15 ± 1.28 | 6.87 ± 1.58 | 0.373 |
| Efficiency (%) | 91.8 ± 10.7 | 88.1 ± 13.6 | 0.163 |
| PSQI score (n; %) | |||
| Good sleep quality (< 5) | 46 (54.11) | 15 (60) | 0.341 |
| Poor sleep quality (≥ 5) | 41 (45.88) | 10 (40) | |
| TFEQ-21 (scores) | |||
| Emotional eating | 33.2 ± 26.7 | 33.6 ± 24.3 | 0.953 |
| Binge eating | 32.2 ± 19.8 | 35.3 ± 17.5 | 0.486 |
| Cognitive restraint | 51.7 ± 18.6 | 42.6 ± 20.5 | 0.040 |
| Injury history (n; %) | |||
| Yes | 39 (44.8) | 4 (16.0) | 0.009 |
| No | 48 (55.2) | 21 (84) | |
Description of sociodemographic data. Chi-squared test. Salary (193.87 USD) in local currency was calculated considering the average exchange rate in the data collection period. N = 112. Significant data are displayed in bold