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Record W2777390064 · doi:10.1080/00224499.2017.1408768

Effects of a Mindfulness Task on Women’s Sexual Response

2017· article· en· W2777390064 on OpenAlexaff
Julia Velten, Jürgen Margraf, Meredith L. Chivers, Lori A. Brotto

Bibliographic record

VenueThe Journal of Sex Research · 2017
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsUniversity of British ColumbiaQueen's University
Fundersnot available
KeywordsMindfulnessSexual arousalArousalPsychologySexual functionSexual dysfunctionSex organConcordanceFeelingClinical psychologyDevelopmental psychologyMedicineSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Mindfulness-based interventions are effective at improving symptoms of sexual dysfunction in women. The mechanisms by which mindfulness improves sexual function are less clear. The main objective of our study was to investigate the impact of a mindfulness task on sexual response in women. Forty-one women (mean age = 27.2, SD = 5.6) participated in two laboratory sessions that each included two erotic films and one attention task that were presented in counterbalanced order. Both attention tasks consisted of a six-minute audio recording of either a modified body scan, focusing on genital arousal sensations (mindfulness condition), or a visualization exercise. Subjective and genital sexual arousal were measured continuously during stimulus presentation. The mindfulness task led to greater subjective and lower genital arousal. The agreement of subjective and genital sexual arousal (i.e., concordance) was greater in the mindfulness condition. Trait mindfulness was related to lower sexual arousal but also greater sexual concordance in women. Mindfulness-based interventions that encourage women to focus on physical arousal sensations in the here and now may be associated with women's improved sexual function by enhancing feelings of sexual arousal during sexual activity and by increasing concordance between subjective and genital sexual arousal.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · 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
Metaresearch0.0000.002
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 head0.094
GPT teacher head0.419
Teacher spread0.325 · 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 designObservational
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

Citations48
Published2017
Admission routes1
Has abstractyes

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