Effect of high-intensity interval training and high-intensity resistance training on irisin and fibroblast growth factor 21 in men with overweight and obesity
Bibliographic record
Abstract
Adipose tissue browning is a physiological process that increases energy expenditure and may combat against obesity and its related risk factors. Fibroblast growth factor 21 (FGF21) and irisin, hormones affected by exercise that also affect adipose tissue browning, have not been widely studied with regard to exercise type and duration. This study compared the effect of high-intensity interval training (HIIT) and high-intensity resistance training (HIRT) on irisin and FGF21 in men living with overweight and obesity. After completing a training program three times weekly for 8 weeks, participants’ serum levels of irisin and FGF21 were significantly increased in the HIIT and HIRT groups compared with the control group ( p < 0.05). Additionally, body fat percentage and body weight in both training groups were significantly reduced in comparison with the control group ( p < 0.05). Thus, HIIT and HIRT programs may be used as a feasible modality to promote favourable changes in body composition and irisin and FGF21, factors critical for browning white adipose tissue in men living with overweight and obesity.
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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) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".