Energy substrate utilization during prolonged exercise with and without carbohydrate intake in preadolescent and adolescent girls
Bibliographic record
Abstract
Little information is available on energy metabolism during exercise in girls, particularly the contribution of exogenous carbohydrate (CHO(exo)). The purpose of this study was to determine substrate utilization during exercise with and without CHO(exo) intake in healthy girls. Twelve-yr-old preadolescent (YG; n = 12) and 14-yr-old adolescent (OG; n = 10) girls consumed flavored water (WT) or (13)C-enriched 6% CHO (CT) while cycling for 60 min at approximately 70% maximal aerobic power (Vo(2max)). Substrate utilization was calculated for the final 15 min of exercise. CHO(exo) decreased fat oxidation by approximately 50% in YG but not in OG (P < 0.001) and decreased endogenous CHO oxidation by approximately 15% in OG but not in YG (P = 0.006). Endogenous CHO oxidation was lower in YG than in OG regardless of trial (P < or = 0.01), whereas fat oxidation was higher in YG only during WT (P < 0.001). CHO(exo) oxidation rate was similar between YG and OG (7.1 +/- 0.5 and 6.8 +/- 0.4 mg.kg(-1).min(-1), respectively, P = 0.67), contributing approximately 19% to total energy expenditure. Serum estradiol levels in all girls correlated with fat (r = -0.50 to -0.59, P = 0.03 to 0.005) and endogenous CHO oxidation (r = 0.50 to 0.63, P = 0.03 to 0.005) but not with CHO(exo) oxidation (r = -0.09, P = 0.71). We conclude that CHO(exo) influences endogenous substrate utilization in an age-dependent manner in healthy girls but that total CHO(exo) oxidation during exercise is not different between YG and OG. Our results also point to potential sex-related differences in energy substrate utilization even during childhood.
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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 | 0.000 |
| 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".