Drinking a structured water product on markers of hydration, airway health and heart rate variability in Thoroughbred racehorses: a small-scale, clinical field trial
Bibliographic record
Abstract
Racehorses in training are in situations of repeated stress that may have effects on hydration and health, including airway health. The main hypothesis of this descriptive study was that daily consumption of a structured water (SW) product for 4 weeks will result in improved hydration, reduced markers of upper airway health concerns and increased heart rate variability. Two groups of Thoroughbred racehorses matched for physiological, training and racing attributes were studied for 4 weeks. One group (n = 17) received 10 L (~15%) of their daily water as SW (followed by ad libitum filtered deep well water) and the control group (n = 15) only filtered deep well water. Duplicate (two separate days) blood samples and bioelectrical impedance analysis (BIA) measures were obtained at baseline, 2 and 4 weeks. Hydration was assessed using BIA. The upper airway was assessed by nasopharyngeal endoscopy at baseline within 60 minutes of breezing (weekly near-race gallop pace). On weekly breeze days heart rate was recorded at rest, during exercise and recovery and data were analysed for heart rate variability. Compared to controls, horses drinking SW showed: (a) increased hydration by 2 weeks that was sustained to 4 weeks; (b) upper airway health (less mucous and less trace bleeding) post-breezing; and (c) increased heart rate variability (more restorative autonomic response) at rest. There were no performance benefits, no adverse events occurred, and blood hematological and biochemistry parameters were normal throughout. It is concluded that drinking 10 L daily of SW increased hydration and may have conferred some wellness benefits.
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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 | 0.042 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".