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Record W4392748413 · doi:10.1080/00224499.2024.2319695

Effects of Group Mindfulness-Based Cognitive Therapy versus Supportive Sex Education on Sexual Concordance and Sexual Response Among Women with Sexual Interest/Arousal Disorder

2024· article· en· W4392748413 on OpenAlexafffund
Meredith L. Chivers, Bożena Zdaniuk, Martin L. Lalumière, Lori A. Brotto

Bibliographic record

VenueThe Journal of Sex Research · 2024
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsUniversity of OttawaUniversity of British ColumbiaQueen's University
FundersCanadian Institutes of Health Research
KeywordsMindfulnessSexual arousalConcordancePsychologyClinical psychologySexual dysfunctionArousalSexual desireDistressHuman sexualityMedicinePsychiatrySexual behaviorInternal medicineSocial psychology

Abstract

fetched live from OpenAlex

Low interest in sexual activity and impaired sexual response are among women’s most frequent sexual concerns. Mindfulness-based treatments improve low sexual desire and arousal and associated distress. One theorized mechanism of change is the cultivation of increased mind-body awareness via greater concordance between psychological and physiological components of sexual response. We examined sexual psychophysiology data from 148 cisgender women randomized to receive mindfulness-based cognitive therapy (MCBT: n = 70) or supportive sex education (STEP: n = 78) over eight weekly group sessions. Women completed in-lab assessments of subjective, affective, and genital sexual responses to an erotic film pre- and post-treatment, and at 6- and 12-month follow-ups. Both groups showed positive changes in sexual and affective responses, but these were generally more pronounced for MBCT. MCBT increased sexual concordance to a greater degree, and gains in sexual concordance predicted improvements in sexual distress throughout treatment.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0030.000

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 head0.061
GPT teacher head0.392
Teacher spread0.331 · 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 designRandomized 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

Citations9
Published2024
Admission routes2
Has abstractyes

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