Association of Bone Mineral Measurements With Peak Impact and Sport-Specific Muscle Loads in Elite Youth Artistic Swimmers
Bibliographic record
Abstract
PURPOSE: Bone mineral measurements and their association with peak impact and sport-specific, persistent muscle loads were examined in 10 elite artistic swimmers age 15-19 years. METHODS: Bone mineral density (BMD) and bone mineral content (BMC) of total body, total body less head, spine, and dominant and nondominant limbs were assessed by dual-energy X-ray absorptiometry. Peak ground-reaction forces of 2 dry jumps (countermovement jump and frog jump) were measured on a force plate. Peak forces applied during in-water exercises (vertical scull, barracuda push, and kick pull) were measured. RESULTS: On average, artistic swimmers' total-body BMD (1.12 [0.08] g/cm2) was similar to values reported for young swimmers and nonathletic females, and total-body BMC (2359 [399] g) was higher than previously reported in race swimmers. Based on previously published reference curves, 9 out of 10 artistic swimmers had total-body less head BMD and BMC at or above the 90th percentile, with average to above average z scores and height-adjusted z scores for their age. Countermovement jump and frog jump exhibited moderate peak ground-reaction forces (2.61 [0.46] and 1.93 [0.42] N/kg, respectively). In water, greater force was exerted in kick pull (60.4 [4.8] N) compared with vertical skull (45.5 [6.4] N) and barracuda push (40.6 [4.8] N). Bone measurements were correlated with the peak ground-reaction forces exerted in both dry jumps (r = .61-.83, P ≤ .05) and the peak force output of the in-water exercises (r = .63-.80, P ≤ .05). CONCLUSION: These results imply robust bone health among artistic swimmers, partially associated with the high muscle forces regularly applied during their sport-specific training that seem to counteract the low-impact nature of the sport.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".