Anaerobic and aerobic contributions to repeated supramaximal cycling exercises and their adaptation to high-intensity interval training in obese perimenopausal and postmenopausal women
Bibliographic record
Abstract
OBJECTIVE: This study investigated the anaerobic and aerobic contributions to total energy release during repeated supramaximal cycling exercises (SCE) and their adaptation in response to 6 weeks of high-intensity interval training (HIIT) in obese perimenopausal and postmenopausal women. METHODS: Nineteen perimenopausal women and 21 postmenopausal women with an average age of 50.1 years participated in the 6-week HIIT intervention. Before and after the training, the accumulated oxygen deficits (mL·min -1 ) and anaerobic and aerobic contributions (%) were measured in all groups via repeated SCE. RESULTS: The results showed that, before training, the anaerobic contributions to repeated SCE did not differ between the perimenopausal and postmenopausal women for the first three repetitions. However, a higher decrease was reported for postmenopausal women at the fourth and fifth repetitions ( P < 0.01, respectively). After HIIT, anaerobic contributions increased significantly in both groups ( P < 0.01, respectively). Nevertheless, postmenopausal women still had significantly lower anaerobic contributions to repeated SCE compared with perimenopausal women ( P < 0.01, respectively). Multiple linear regression analysis indicated that menopause status was an independent predictor of anaerobic contribution, accounting for 17%, 21%, 15%, 19%, and 22% of variations (β = 0.28, P = 0.03; β = 0.29, P = 0.04; β = 0.18, P = 0.05; β = 0.22, P = 0.05; and β = 0.33, P = 0.03 for the first to the fifth repetitions consecutively for perimenopausal vs postmenopausal groups). CONCLUSIONS: A 6-week HIIT intervention increased the anaerobic contributions to energy in response to repeated SCE in obese perimenopausal and postmenopausal women. However, postmenopausal women had lower anaerobic contributions at the fourth and fifth repetitions mainly due to the effects of menopause.
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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) | 0.001 | 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".