Sex‐based differences in endurance exercise muscle metabolism: impact on exercise and nutritional strategies to optimize health and performance in women
Bibliographic record
Abstract
NEW FINDINGS: What is the topic of this review? The topic is how sex influences carbohydrate and fat metabolism during exercise and whether this influences adaptation to nutritional and exercise regimens aiming to improve health and performance. What advances does it highlight? Women respond differently to certain nutritional and training regimens aimed at improving health and performance. Few studies have included women in trials and thus we are unsure how women respond to nutritional and training strategies aimed at improving health and performance. Sex-based differences in substrate metabolism during moderate-intensity endurance exercise (END) have been well established. Specifically, during END of the same relative intensity women have a lower respiratory exchange ratio than men, indicative of a lesser reliance on carbohydrate oxidation to support fuel requirements for exercise. In fact, compared with men, women show a lesser reliance on both liver and muscle glycogen during END. Sex-based differences in intramyocellular lipid (IMCL) utilization during END are controversial. However, women have a larger depot of IMCL available to support END fuel needs and a greater percentage of IMCL in contact with mitochondria after a bout of END compared with men, suggestive of a greater capacity to use IMCL. These sex-based differences in metabolism during END are known to be mediated by oestrogen. Despite the well-recognized sexual dimorphisms in substrate metabolism during END, there is a paucity of research examining the effects of exercise and nutritional regimens aimed to enhance performance and/or health in women. Furthermore, the evidence that does exist is suggestive of discordance in the effectiveness of nutritional and exercise regimens between the sexes. The focus of this review is to provide an overview of the well-established sex-based differences in metabolism during END and how they relate to the physiological responses to nutritional and exercise strategies intended to improve exercise performance and/or health.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".