Menstrual cycle irregularities are associated with testosterone levels in healthy premenopausal women
Bibliographic record
Abstract
High androgen levels have been associated with menstrual irregularities in clinical populations, but not in healthy women. We examined the association between testosterone and menstrual irregularities in a nonclinical population of 194 healthy premenopausal women, none of whom reported chronic health conditions. Women provided saliva samples for assay of salivary testosterone, and responded to questions about length of menstrual cycles, variability in menses, and retrospective history of menstrual irregularity. Results showed significant correlations between testosterone and menstrual irregularities, even when women with the most irregular cycles were excluded from analyses. This pattern was also apparent for a subgroup of 27 women using hormonal contraceptives. Based on our findings, it appears that even in healthy women reporting no health concerns, menstrual irregularities are associated with higher levels of circulating androgens.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".