Oral contraception and energy intake in women: Impact on substrate oxidation during exercise
Bibliographic record
Abstract
Oral contraception (OC) and energy intake may play a role in fuel selection during exercise. The aim of this study was to investigate the effect of OCs (OC+ vs. OC-) in fed and fasting conditions on substrate oxidation and metabolic and hormonal responses in women during exercise. Substrate oxidation (respiratory exchange ratio and lipid and carbohydrates oxidation rates), metabolic (glycerol, free fatty acids (FFA), and glucose), and hormonal (insulin, adrenaline, and noradrenaline) responses were determined in 21 women: 10 regularly menstruating women (OC-) and 11 women using OCs (OC+: low-dose monophasic pill; ethinyl estradiol ≤ 30 µg) during 45 min at 65% of maximal oxygen consumption in fasting and postprandial states. At rest, OC+ presented higher low-density lipoprotein cholesterol, total cholesterol, and triglyceride plasma concentrations as compared with OC-. OC status had no influence on substrate oxidation and metabolic and hormonal responses during exercise. In the fasting state, whatever the OC status, women exhibited greater reliance on fat than in postprandial condition. This occurred in the presence of lower plasma insulin concentrations and higher plasma FFA and glycerol levels. The results indicated that the use of low-dose monophasic combined with OCs did not modify fuel selection and metabolic and hormonal responses during exercise in women. The fasting condition, compared with the fed condition, decreased carbohydrate oxidation during exercise, leading to a greater lipid mobilization and utilization whatever the OC status. Thus, in women, the realization of an exercise in either the fed or fasting conditions had a greater impact on substrate oxidation than OC status.
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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) | 0.002 | 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".