Acute changes in substrate oxidation do not affect short-term food intake in healthy boys and men
Bibliographic record
Abstract
The acute relationship between substrate oxidation as measured by respiratory exchange ratio (RER) and food intake (FI) has not been defined. The purpose of the study was to determine acute relationships between RER, modified by exercise and a glucose load, and FI and net energy balance (NEB) in physically active normal-weight boys and men. In a crossover design, 15 boys (aged 9-12 years) and 15 men (aged 20-30 years) were randomly assigned to 4 conditions: (i) water and rest, (ii) glucose-drink and rest, (iii) water and exercise, and (iv) glucose-drink and exercise. Indirect calorimetry was used to determine RER, energy expenditure, and carbohydrate and fat oxidation. Subjective appetite and blood glucose were also measured. RER was higher after glucose (0.91 ± 0.01) compared with water (0.87 ± 0.01) (p < 0.0001), and after exercise (0.91 ± 0.01) compared with rest (0.88 ± 0.01) (p = 0.0043) in men (0.91 ± 0.01) compared with boys (0.88 ± 0.01) (p = 0.0002). FI (kcal·m(-2)) did not differ between boys and men. Glucose (582 ± 24 kcal·m(-2)) reduced FI compared with water (689 ± 25 kcal·m(-2)) (p < 0.0001), and further decreased FI when combined with exercise (554 ± 34 kcal·m(-2)) (p = 0.0303). NEB was reduced with exercise (573 ± 25 kcal·m(-2)) compared with the sedentary condition (686 ± 24 kcal·m(-2)) (p < 0.0001), but was higher after the glucose drink (654 ± 27 kcal·m(-2)) compared with water (605 ± 25 kcal·m(-2)) (p = 0.0267). No correlations were found between RER and FI or NEB in boys and men, except in the control condition of resting with water. In conclusion, the short-term modification of substrate oxidation by glucose and/or exercise in normal weight and active boys and men did not affect FI and NEB.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".