Iron Metabolism Modification During Repeated Show Jumping Event in Equine Athletes
Bibliographic record
Abstract
Abstract In athletic horse the evaluation of iron status is of great importance to improve physical performance and health status of animal. The aim of this study was to evaluate the changes of iron indices following show jumping. Ten regularly trained Italian Saddlebred horses aged 7-8 years (mean body weight 467±12 kg) were subjected to three days jumping competition. Blood samples were collected at 5 time points: T0 (the day before competitions), T1 (immediately after exercise at day 1), T2 (immediately after exercise at day 2), T3 (immediately after exercise at day 3) and during the recovery period T4 (24 h after day 3). On each blood sample the values of red blood cell (RBC), hemoglobin concentration (Hb), hematocrit (Hct), serum iron, ferritin, transferrin, total iron-binding capacity (TIBC) and unsaturated iron-binding capacity (UIBC) were assessed. One-way repeated measure analysis of variance (ANOVA) showed a statistical significant effect of exercise (P<0.05) on all studied parameters. The application of Bonferroni’s post-hoc comparison showed a statistical significant increase in all studied parameters after exercise. These results provide new information about the changes in iron profile of jumper horse following exercise allowing for better evaluation of the health status and physical performance of this athlete horse.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".