Effects of perimenopausal transdermal estradiol on self-reported sleep, independent of its effect on vasomotor symptom bother and depressive symptoms
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to determine the efficacy of transdermal estradiol (E2) plus intermittent progesterone (EPT) for improving self-reported sleep in perimenopausal women, after controlling for vasomotor symptoms (VMS) bother and depressive symptoms. METHODS: Using a double-blind, placebo-controlled design, 172 healthy women meeting STRAW+10 criteria for being in the menopausal transition or early postmenopause were randomized to 12 months of transdermal E2 (0.1 mg/d) + 200 mg progesterone (12 d every 3 mo) or placebo. Using standard questionnaires, self-reported sleep, depression, and VMS bother were obtained at baseline and bimonthly postrandomization. RESULTS: Controlling for baseline levels, EPT (vs placebo) led to reductions in minutes to fall asleep (estimate = -0.12, P = 0.002) and number of awakenings (estimate = -0.24, P = 0.04) over the 12 months. Controlling for changes in VMS bother and depressive symptoms, EPT still predicted reductions in minutes to fall asleep (estimate = -0.28, P = 0.02) and number of awakenings (estimate = -0.11, P = 0.02) over the 12 months. CONCLUSIONS: We extend existing research by demonstrating that hormone therapy (HT) in subjective sleep cannot be fully explained by improvements in VMS bother or depressive symptoms. Research to examine the mechanism (s) underlying HT's effects on sleep would have public health significance for perimenopausal women and also advance our general understanding of the pathophysiology of impaired sleep.
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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) | 0.002 | 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".