Low-intensity exercise elicits maximal fat oxidation in young healthy men
Bibliographic record
Abstract
Maximal Fat Oxidation (MFO) is a marker of skeletal muscle oxidative capacity measured through submaximal exercise testing. However, the intensity at which it occurs remains to be evaluated in nonathletic populations. The study investigated the effect of the lowest and highest range of self-selected comfortable walking paces on whole-body fat oxidation. Fourteen young healthy men (age = 28.5 ± 5.0 years, weight = 76.9 ± 10.9 kg, height = 176.9 ± 5.9 cm, BMI= 24.5 ± 2.8, V̇O2max = 3.8 ± 0.6 ml/min) performed a running incremental test (GXT) prior to partaking in two 30-min self-selected walking pace (low and high) trials. Walking paces, V̇O2, V̇CO2, HR, and RPE, were recorded, and substrate oxidation rates were calculated through stoichiometry equations. The MFO rate determined during the GXT was 473 ± 201 mg/min and occurred at 39.6 ± 11.8 % of V̇O2max. Peak fat oxidation (PFO) rates at the lowest (3.5 ± 0.7 km/h) and highest (5.7 ± 0.8 km/h) walking paces were significantly different (p-value=0.001; 254 ± 11 vs. 436 ± 11 mg/min, respectively). The lowest and highest self-selected walking paces corresponded to 21.2 ± 3.8 and 35.8 ± 5.9 % V̇O2max, respectively. At the highest walking pace, no statistical difference was observed between MFO and PFO.
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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 | 0.000 | 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".