Field Evaluation of Paralympic Athletes in Selected Sports
Bibliographic record
Abstract
PURPOSE: The purpose of this study was 1) to describe the acute cardiorespiratory and metabolic responses of Paralympic athletes participating in the following five sports: Nordic sit skiing (NS, n = 5), wheelchair distance racing (WR, n = 6), wheelchair basketball (WB, n = 13), wheelchair fencing (WF, n = 6), and wheelchair tennis (WT, n = 4); and 2) to examine the relationship between field test performance and laboratory measures of aerobic fitness of these Paralympic athletes. METHODS: Each athlete completed an incremental arm cranking exercise test to determine ventilatory threshold (VT) and peak oxygen uptake (VO2peak). Subsequently, field assessments were carried out using a telemetric system to measure the cardiorespiratory responses in their respective sport. RESULTS: VT and VO2peak (both expressed in milliliters per kilogram per minute) of athletes competing in NS (38.3 +/- 5.76 and 51.0 +/- 6.92 mL x kg(-1) x min(-1)) and WR (35.5 +/- 5.96 and 48.1 +/- 6.35 mL x kg(-1) x min(-1)) were significantly higher (P < 0.05) than those competing in WB (26.0 +/- 2.13 and 36.9 +/- 3.70 mL x kg(-1) x min(-1)), WF (23.2 +/- 3.96 and 34.4 +/- 5.81 mL x kg(-1) x min(-1)), and WT (24.0 +/- 2.30 and 33.1 +/- 2.85 mL x kg(-1) x min(-1)). In the field tests, the average V O2, higher in NS and WR than in WB, WF, and WT, during NS, WR, WB, WF, and WT was 79.4% +/- 3.30%, 84.4% +/- 2.10%, 72.1% +/- 5.72%, 73.0% +/- 3.10%, and 73.0% +/- 1.91%, respectively, of VO2peak. There was a strong linear relationship between VO2 measured during the field tests and VT and VO2peak (R2 = 0.92 in each case). CONCLUSIONS: Athletes regulated their average work intensity during the field tests in the five Paralympic sports to approximate their individualized VT measured during incremental arm cranking exercise test, and this intensity was within the range recommended by the American College of Sports Medicine to improve cardiorespiratory fitness in well-trained subjects. In addition, performance of Paralympic athletes in these sports was highly dependent upon athletes' aerobic fitness.
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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 | 0.000 |
| Research integrity | 0.000 | 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".