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Record W4416121617 · doi:10.1097/gme.0000000000002675

The role of masturbation in relieving symptoms associated with menopause

2025· article· en· W4416121617 on OpenAlexaff
Justin J. Lehmiller, Cynthia A. Graham, Louise Ferrall, Emily A. Mendelson, Merissa S. Prine

Bibliographic record

VenueMenopause The Journal of The North American Menopause Society · 2025
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMenopauseDiseaseMEDLINEEpidemiology

Abstract

fetched live from OpenAlex

OBJECTIVES: The present research sought to explore the potential role of masturbation in the relief of symptoms associated with menopause. METHODS: A demographically representative US sample of 1,178 women ages 40-65 completed an online survey about their current symptom management strategies (including masturbation) and their efficacy. Data were analyzed quantitatively using t tests and χ 2 , and qualitatively with thematic analysis. RESULTS: Nearly one in five perimenopausal and postmenopausal women had noticed that self-pleasure provided symptom relief. Relative to other symptom management strategies, masturbation was rated among the highest in providing symptom relief, especially with respect to psychological symptoms (ie, mood changes) and sleep disturbances. Nearly half of perimenopausal and postmenopausal women indicated that they would be open to trying masturbation as a symptom relief approach if their doctor recommended it. CONCLUSIONS: Masturbation may play a valuable role in managing menopause symptoms, and it is important that physicians discuss the potential benefits of self-pleasure with their patients.

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)0.005
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
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)0.0020.000

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 head0.007
GPT teacher head0.261
Teacher spread0.254 · 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
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

Citations3
Published2025
Admission routes1
Has abstractyes

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