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Record W2427241893

Relationship between athletic performance and menstrual cycle.

2001· article· en· W2427241893 on OpenAlexaff
Constance Lebrun, Jane S Rumball

Bibliographic record

VenuePubMed · 2001
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsFowler Kennedy Sport Medicine Clinic
Fundersnot available
KeywordsMenstrual cycleAthletesHormoneAnterior cruciate ligamentEstrogenAerobic capacityPhysiologyThermoregulationEndocrinologyMedicineInternal medicinePsychologyPhysical therapySurgery
DOInot available

Abstract

fetched live from OpenAlex

The female sex steroid hormones have multiple actions on body systems other than the reproductive axis. Female athletes, coaches, medical professionals, and researchers have long been concerned about the potential impact of menstrual cycle fluctuations in these hormones on components of athletic performance. Estrogen is known to affect the cardiovascular system, bone, and the brain; progesterone primarily influences thermoregulation and ventilation. Substrate metabolism is likely altered by both hormones. Net physiological effects can be either opposing or synergistic and are determined by the relative proportions of each. Nevertheless, investigations to date have not consistently demonstrated significant differences in aerobic capacity, anaerobic capacity, aerobic endurance, or muscle strength in any specific menstrual cycle phase. The course of some chronic diseases may vary slightly during the menstrual cycle, but the mechanism is currently unknown. Recent research in underlying hormonal causes for anterior cruciate ligament (ACL) injuries also is not convincing.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.222

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.030
GPT teacher head0.249
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations36
Published2001
Admission routes1
Has abstractyes

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