Evidence map›Paper›PMID 42045086›Full record

ReviewJournal of menopausal medicine2026

Sleep Disturbances during Menopause: Mechanisms and Management Approaches.

Masakazu Terauchi

Abstract readReview
In one paragraph

Review in Journal of menopausal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Masakazu TerauchiDepartment of Women's Health, Institute of Science Tokyo, Tokyo, Japan. teragyne@tmd.ac.jp.ORCID https://orcid.org/0000-0001-5577-0094

Funding

Ibaraki Prefecture
6 · The paper itself

Abstract

Sleep disturbances are highly prevalent during menopausal transition and postmenopause; however, the underlying mechanisms remain incompletely understood. Epidemiological cohort studies demonstrate a sharp increase in the occurrence of insomnia symptoms in midlife coincident with declining estradiol levels, vasomotor symptoms (VMS), and increased susceptibility to depression and anxiety. These psychological factors interact bidirectionally with insomnia, amplifying its adverse impacts on health-related quality of life. Additional contributors-including lower urinary tract symptoms, musculoskeletal pain, reduced muscle mass, and sleep-disordered breathing-emphasize the multifactorial nature of menopausal insomnia. Management includes hormonal, pharmacological, and nonpharmacological strategies. Although menopausal hormone therapy remains the most effective treatment for VMS, its benefits for sleep are inconsistent and largely limited to subjective improvement. Randomized trials suggest that non-benzodiazepine hypnotics can enhance sleep initiation and maintenance; moreover, traditional herbal formulas (e.g., Kampo) may benefit selected women, although the evidence is limited. Newer dual orexin receptor antagonists, such as suvorexant, daridorexant, and lemborexant, have shown efficacy with regard to sleep onset and maintenance in adults, including women in their midlife. By integrating epidemiological findings, mechanistic insights, and comparative treatment data, this review emphasizes individualized care tailored to symptom profile, risk factors, and patient preference. Future research should bridge gaps between subjective and objective evaluations and delineate biological pathways (neuroendocrine, circadian, orexin, and inflammatory/myokine) to guide targeted therapies.

Indexed as

AnxietyDepressionEstrogenInsomniaObstructive sleep apnea

Identifiers

PMID42045086
PMCPMC13129205

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.