The Effect Of Bovine Colostrum On Performance, Body Composition, And Immunoglobulin-A Levels In Rugby Players.
Bibliographic record
Abstract
Bovine colostrum is the first milk secreted by cows after calving. It is high in protein and contains a number of bioactive compounds including growth and antimicrobial factors. Intense training may compromise the immune system; therefore, colostrum has potential to improve exercise performance by preventing immune system dysfunction that is common during periods of intense training. PURPOSE: The purpose was to determine the effect of 8 weeks of bovine colostrum supplementation in comparison to soy protein supplementation, on rugby players’ performance, body composition, and immunoglobulin-A (IgA) levels, during the regular rugby union season. METHODS: Twenty-nine rugby union players (n=3 female) were randomized into two groups (double blind); Group 1 received 38g/d of protein from bovine colostrum, and Group 2 received 38g/d of protein from soy. Before and after the 8 weeks of supplementation, participants were evaluated for IgA levels from salivary samples, body composition using dual energy X-ray absorptiometry, muscle thickness of their quadriceps and biceps using ultrasound, bench press and leg press strength, vertical jump height, and aerobic fitness using the Leger maximal multistage 20-m shuttle run field test. RESULTS: There was a significant group x time interaction for vertical jump (p=0.002) with the colostrum group increasing more than the soy group (6.2% vs. 0%). After removal of participants who were not compliant with the protocol there was a significant group x time interaction for aerobic performance in the male participants (p=0.05) with the colostrum group increasing predicted aerobic capacity more than the soy group (9.6% vs. 1.1%). There were no other differences between groups over time. CONCLUSION: Bovine colostrum supplementation enhances leg muscular power and aerobic fitness to a greater extent, in comparison to soy protein, in rugby union players during the regular season. Supported by MITACS and Saskatoon Colostrum Co. Ltd.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".