Effects of carob rich-polyphenols on oxidative stress markers and physical performance in taekwondo athletes
Bibliographic record
Abstract
Excessive exercise can induce cell damage and impair muscle function by generating oxidative stress.Carob rich phenolic components have attracted the attention of many researchers because of their antioxidant actions.We utilized a double-blind randomized placebo-controlled design to study the putative antioxidant role of six weeks of daily polyphenol supplementation on selected blood markers of oxidative stress and performance in taekwondo athletes.We studied the effects of daily supplementation with carob (40 g/d, for six-weeks) on performance levels and antioxidant capacity in 22 taekwondo athletes (age 21.9 ± 1.2 years; height 1.66 ± 0.34 m; weight 68.3 ± 16.9 kg; women = 10, men = 12) using a randomized, double-blinded study.Participants were divided into an experimental group (EG) or placebo group (PG).All athletes performed a frequency speed of kick test mult (FSKT mult ) before and after a six-week training period.Superoxide dismutase (SOD), catalase (CAT), and malondialdehyde (MDA) were measured 5 min after a FSKT mult .Physical performances improved significantly after six weeks in EG compared to PG for kicks number per set (from set 1 to set 5: p = 0.032, d = 0.70; p = 0.020, d = 0.77; p = 0.001, d = 1.12; p = 0.001, d = 1.25; p = 0.003, d = 1.01), total kicks number (p = 0,002, d = 1.04), and kick decrement index (%) (p = 0.017, d = 0.13).There were significant increases in CAT (p = 0.001, d = 1.85) and SOD (p = 0.001, d = 1.98) activities and significant decreases in MDA levels (p = 0.002, d = 0.81) in the EG.Carob supplementation during a six-week training program reduced oxidative stress and improved physical performance levels in taekwondo athletes.
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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) | 0.000 | 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 | 0.000 | 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".