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Record W4410504850 · doi:10.1093/jsxmed/qdaf085

Cognitive behavioural therapy for sexual concerns during menopause: evaluation of a four session protocol

2025· article· en· W4410504850 on OpenAlexafffund
Sheryl M. Green, Melissa Furtado, Alison K. Shea, Elena C. Ballantyne, David L. Streiner, Benício N. Frey, Randi E. McCabe

Bibliographic record

VenueThe Journal of Sexual Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare Hamilton
FundersCanadian Institutes of Health Research
KeywordsAnxietyDistressClinical psychologyMenopauseMedicineVasomotorDepression (economics)Randomized controlled trialSexual functionPsychologyPhysical therapyPsychiatryInternal medicine

Abstract

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BACKGROUND: Sexual concerns are reported by 43%-82.5% of peri- and post-menopausal women and negatively impact physical and emotional well-being. Despite the high prevalence and negative impact, treatment options are limited, particularly those which are non-pharmacological. AIM: The primary objective of this pilot trial was to evaluate the effectiveness of a novel four-session individual Cognitive Behavioural Therapy protocol for improving sexual functioning (CBT-SC-Meno) during peri- and post-menopause. Secondary objectives included assessing body image, relationship satisfaction, and common menopause symptoms (eg, vasomotor), depression, anxiety, and self-reported health. METHODS: Participants (n = 32) were peri- or post-menopausal women experiencing primary sexual concerns and reporting a score of 26.55 or lower on the Female Sexual Function Index (FSFI), indicating impaired sexual functioning. Eligible participants were assigned to a waitlist control condition for 4 weeks, after which they were reassessed and then completed the CBT protocol. OUTCOMES: Measures assessing sexual functioning, satisfaction, distress, and desire, as well as body image, relationship satisfaction, common menopause symptoms (eg, vasomotor), depression, anxiety, and self-reported health were completed at baseline, post-waitlist, and post-treatment. Treatment satisfaction was captured with the Client Satisfaction Questionnaire along with qualitative data. RESULTS: During the waitlist period, no significant changes were observed across measures, apart from the FSDQ concern subscale and GCS physical subscale. Following CBT-SC-Meno, participants experienced a significant improvement in overall sexual functioning (eg, desire, arousal, reduced pain, satisfaction), a decrease in symptoms of sexual distress, concern, and resistance, menopausal symptoms, symptoms of depression and anxiety, as well as improved body image, couple satisfaction, and overall health (P < 0.001). All participants endorsed high treatment satisfaction and indicated that treatment helped them better cope with their symptoms more effectively. CLINICAL IMPLICATIONS: To our knowledge, this is the first study examining the effectiveness of a CBT protocol specifically designed to target sexual concerns experienced during peri- and post-menopause. Results suggest that CBT-SC-Meno leads to significant improvements in sexual functioning across several important sexual concern domains and related areas (eg, body image), in addition to several other commonly comorbid menopausal symptoms (eg, vasomotor), depression, anxiety, and self-reported overall health. STRENGTHS AND LIMITATIONS: Although CBT-SC-Meno appears to be a promising treatment for sexual concerns, the sample was small and homogeneous. CONCLUSIONS: This study provides preliminary evidence of CBT as a non-pharmacological treatment for peri- and post-menopausal women experiencing sexual concerns and offers the basis for a larger randomized clinical trial. CLINICAL TRIAL REGISTRATION: Trial # NCT04922385 and Accessible at: https://clinicaltrials.gov/ct2/show/NCT04922385?term=NCT04922385&draw=2&rank=1.

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)0.030
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.022
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0240.003

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 head0.204
GPT teacher head0.456
Teacher spread0.252 · 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 designNon-randomized trial
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 routes2
Has abstractyes

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