Physical Performance, Body Composition and Somatotype in Colombian Judo Athletes
Bibliographic record
Abstract
<p>Background: Judo is a grappling sport that requires a combination of powerful actions (e.g., throwing techniques) and aerobic capacity. Physical performance, body composition and somatotype influences athletes' performance. Problem and aim. Analyze the physical performance, body composition and somatotype of elite Colombian judokas and compare them with athletes from other countries. In addition, to investigate the correlation between body composition and physical performance. <br/></p><p>Methods: Fifteen judoists, eight women (21±4.7 years) and seven men (20.5±3.9 years), participated in the present study. The athletes were black belt and had international and national competition experience, winning medals in the Pan-American Games, Central and South American Championships. Squat jumps (SJ) and countermovement jumps (CMJ) on a contact platform were performed to evaluate lower limbs power. The maximum oxygen uptake (VO2<sub>max</sub>) was estimated using the multistage 20-m shuttle run test. The Anthropometric measurements were taken for body fat and skeletal muscle mass estimation. Pearson correlation was performed between body composition and physical performance variables. <br/></p><p>Results: In summary, lower physical performance, and higher body fat percentages were observed in Colombian judoists compared to elite judoists. In other countries Moderate negative correlation was observed between aerobic power and body fat percentage (r=-0.67), and the endomorph characteristic (r=-0.69). In addition, the skeletal muscle mass presented a very large correlation with power from both SJ (r=0.88) and CMJ (r=0.89) (p < 0.05). <br/></p><p>Conclusion: Elite Colombian judokas presented lower physical performance, and higher body fat percentage than other elite judokas. The somatotype was adequate and in accordance with that reported at the elite level.</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".