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Record W4413418311 · doi:10.58931/cwht.2025.2124

How To Tackle Sleep Concerns In Peri-And Post-Menopausal Women

2025· article· en· W4413418311 on OpenAlexaffabout
Alison K. Shea, Carys Sosea

Bibliographic record

VenueCanadian Women s Health Today · 2025
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPeriSleep (system call)MedicinePsychologyComputer scienceInternal medicine

Abstract

fetched live from OpenAlex

Sleep concerns represent a common symptom of menopause, affecting approximately half of women during perimenopause and postmenopause. Often, sleep difficulties increase throughout the menopausal transition, particularly when not assessed and treated early on. Recent Canadian data highlights an increased risk among women for insomnia, more daytime sleepiness, and elevated rates of sleep-related conditions such as obstructive sleep apnea (OSA), REM sleep behaviour disorder, and restless leg syndrome. The etiology of poor sleep in this population is multi-factorial. While vasomotor symptoms (VMS) such as hot flashes and night sweats contribute to sleep disturbance, other contributing factors include hormonal changes, comorbidities, chronic pain, and age-related changes in circadian rhythm. A range of helpful options are available, including lifestyle and behavioural approaches and pharmacotherapy, which can ameliorate sleep quality to improve the lives of women during this important transition and thereafter.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.326
Threshold uncertainty score0.649

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0110.002

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 head0.010
GPT teacher head0.287
Teacher spread0.278 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes2
Has abstractyes

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