25(OH)D STATUS OF ELITE ATHLETES WITH A SPINAL CORD INJURY IN WINTER RELATIVE TO LIFESTYLE FACTORS
Bibliographic record
Abstract
G. Simpson1, H. Brzozowski1, K. Pritchett1, R. Pritchett1, D. Ogan1, E. Broad2, M. LaCroix3 1 Central Washington University, Ellensburg, WA, 2 US Olympic Committee, Chula Vista, CA, 3 Canadian Sport Institute Pacific, Vancouver, BC Due to the potential negative impact of low Vitamin D status on performance-related factors and the potentially higher risk of low Vitamin D status in a SCI population, research is warranted to determine whether elite athletes with a SCI have sufficient 25(OH)D levels. PURPOSE: to examine the seasonal prevalence of Vitamin D insufficiency among elite athletes with Spinal Cord Injuries (SCI), and (2) to determine whether lifestyle factors, and muscle performance/function are r elated to vitamin D status in athletes with a SCI. METHODS: Thirty nine members of the Canadian Wheelchair Sports Association & British Columbia Wheelchair Sports Association, and the US Olympic Committee Paralympic program from outdoor and indoor sports. Dietary and lifestyle factors, and serum 25(OH)D concentrations were assessed during the Winter (February/ March). RESULTS: Mean + SD serum 25(OH)D concentration was 67.4 + 25.5 mmol/L (range from 20 to 117.3 mmol/L) in Winter. In the Winter, 15.4% of participants were considered vitamin D deficient (25(OH)D < 50 mmol/L) whereas 41% had 25(OH)D concentrations that would be considered insufficient (<80 mmol/L). Pearson correlations for 20M sprint time and 25(OH)D were not significant during the Winter (r = -.03, p = .45), or for handgrip strength and 25(OH)D during the Winter (r = .08, p = .35). CONCLUSION: A substantial proportion of elite athletes with an SCI have insufficient (41%) and deficient (15.4%) 25(OH)D status in the Winter. Furthermore, a seasonal decline in vitamin D status was not observed in the current study.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".