Variations of sex-hormones in reproductive aged females do not impact the repeated bout effect following maximal unaccustomed eccentric exercise of the elbow flexors
Bibliographic record
Abstract
Neuromuscular function is impaired following unaccustomed eccentric exercise, the repeated bout effect (RBE) however, protects from damage following a subsequent bout. Muscle damage may be mitigated in females due to protective effects of estradiol. The purpose of this study was to investigate the relationship between the follicular phase of the menstrual cycle and oral contraceptive use on neuromuscular impairments following damaging eccentric exercise and the magnitude of the RBE. Fifteen female participants (18-30 years) performed two bouts of 150 maximal eccentric contractions of the elbow flexors four weeks apart. Normally menstruating females were tested during the late follicular phase (day:10-14) of their menstrual cycle, when estradiol is near peak. Oral contraceptive users were tested on their placebo pill days (lower estradiol). Neuromuscular function following Bout1 and Bout2 (4 weeks later), was assessed using both voluntary (maximal voluntary contraction torque; MVC, voluntary activation; VA), and electrically evoked contractions (peak twitch torque, 10 Hz and 100 Hz torque). For both groups, following Bout1, there was a 16% decrease in MVC torque (p < 0.05), and soreness increased ~20-fold (p < 0.05). Following Bout 2, both groups recovered to baseline values by 48 hrs for MVC torque, and the magnitude of the RBE was similar between groups (p > 0.05). Females in the late follicular phase (classified as high estradiol) and females on combined oral contraceptives (low estradiol) had similar impairments in neuromuscular function following the first bout of eccentric exercise, and a similar RBE.
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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) | 0.003 | 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".