The effects of drinking hydrogen-rich water for six weeks on exercise-related biomarkers in exercise-naïve men and women over 50 years following resistance training program: a randomized controlled pilot trial
Bibliographic record
Abstract
The primary objective of this pilot study was to assess the impact of consuming hydrogen-rich water (HRW) for a duration of six weeks on exercise-related biomarkers in previously untrained men and women aged over 50 years, subsequent to a resistance training program. Twenty-seven apparently healthy middle-aged adults (age 57.6 ± 6.7 years; 18 females) voluntarily provided written consent to participate in this randomized, placebo-controlled experimental trial. All participants were allocated in a double-blind parallel-group design to receive either HRW (12 mg of dihydrogen per serving) or control water (<0.1 ppm of dihydrogen) administered two times per day during a 6-week intervention interval. Muscle performance indices showed a significant improvement following both HRW and control water interventions compared to the baseline values (p ≤ 0.05). HRW led to a significant increase in serum free testosterone and cortisol levels, along with reductions in total cholesterol and LDL-cholesterol levels at the follow-up (p ≤ 0.05). Moreover, HRW significantly outperformed the control water in reducing biomarkers of acute muscular damage caused by resistance exercise (p ≤ 0.05) and tended to outcompete placebo in improving sleep quality (p = 0.119). HRW could be advanced as a risk-free and effective beverage for promoting training-specific adaptations in exercise-naïve men and women over 50 years of age.
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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 | 0.019 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".