The combined effect of creatine and sodium bicarbonate supplementation on blood lactate and anaerobic power in young taekwondo players.
Bibliographic record
Abstract
Purpose: The aim of this study was to investigate the combined effect of Creatine (Cr) and sodium bicarbonate (SB) supplementation on blood lactate and anaerobic power during two bouts of repeated vertical jump test in taekwondo players. Methods: Sixteen young male taekwondo players were matched in two treatments (Cr+SB, n=8 and placebo (P), n=8) according to weight, Vo2max and anaerobic power in double-blinded procedure. Both treatments consisted of placebo (20 gr maltodextrine per day) or Cr supplementation (20 gr Cr per day) in a period of six days. In the morning of the seventh day and after the blood taking, there was P or SB supplementation (0.065 gr per kg body weight), an hour before two repeated vertical jump tests that were performed in 30 seconds with an hour of active recovery between sets. Blood samples were taken in two phases, each phase in three steps after an overnight fast. The data was analyzed via repeated measures, post hoc least significant difference (LSD) and independent t-test in significant level P≤0.05. Results: Mean of anaerobic power increased significantly during first (P=0.006) and especially in second (P=0.001) bout of test in combined group at post-test, but blood lactate levels were not affected by Cr and SB supplementation. Anaerobic power increased significantly in second bout of test at post-test in combined group more than placebo group (P=0.049). Conclusion: The main finding of the study was that supplementation of CrSB improved the anaerobic power but did not have significant effect on blood lactate.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".