Fat Oxidation Rate Curves and Exercise Intensity in Pre-Pubertal Males
Bibliographic record
Abstract
1491 Evidence exists that, compared to adults, children utilize more fat and less carbohydrate during endurance exercise performed at similar relative intensities. Recently, a protocol has been published that standardizes the measurement of fat oxidation rates during a range of exercise intensities using elite male cyclists (Achten et al., 2001). PURPOSE: We determined fat oxidation rates over a range of exercise intensities in healthy, untrained, pre-pubertal males. METHODS: Five subjects, ages 11–12 yrs, underwent an incremental cycle ergometry test (12.5 Watts increments, 3 min intervals) to volitional exhaustion with measurements of breath-by-breath gas exchange and heart rate. Fat oxidation rate curves were determined from indirect calorimetry during the final 30 seconds of each stage as described previously (Achten et al., 2001) and expressed per kilogram lean body mass (LBM). Body composition was estimated from triceps and mid-calf skinfold measurements. RESULTS: Fat oxidation rates are shown in the figure below. Maximal fat oxidation rates were 0.818 ± 0.072 × 10−2 g/min/kg LBM, which occurred at 56 ± 1.3 % of peak VO2. High rates of fat oxidation (within 20% of maximum value) occurred between 33 ± 1.4 and 78 ± 1.8 %VO2 max. CONCLUSIONS: The observed fat oxidation rates are very similar to those published for elite male cyclists. We conclude that this protocol is highly suited for examining fat oxidation rates in pre-pubertal males and that in this population, fat oxidation is maximized throughout a wide range of exercise intensities.Figure
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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 | 0.001 | 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) | 0.003 | 0.001 |
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".