Mindfulness and cognitive behavior therapy for provoked vestibulodynia: Mediators of treatment outcome and long-term effects.
Bibliographic record
Abstract
OBJECTIVE: Provoked vestibulodynia (PVD) is a chronic vulvo-vaginal pain condition affecting 8% of premenopausal women. Cognitive-behavioral therapy (CBT) is effective in managing pain and associated sexual and psychological symptoms, and a recent study found group mindfulness-based cognitive therapy (MBCT) to be equivalent. Our goal was to examine the long-term outcomes of these treatments and to explore mediators of change. METHOD: Participants were 130 women diagnosed with PVD who had participated in a clinical trial comparing 8 weeks of group CBT to 8 weeks of group MBCT. Data were collected at pretreatment, posttreatment, and at 6- and 12-month follow-up periods. Outcomes focused on (a) pain with vaginal penetration, (b) pain elicited with a vulvalgesiometer, and (c) sex-related distress. Mediators of interest included pain acceptance (both pain willingness and activities engagement), self-compassion, self-criticism, mindfulness, decentering, and pain catastrophizing. RESULTS: All improvements in the 3 outcomes were retained at 12-month follow-up, with no group differences. Pain catastrophizing, decentering, and chronic pain acceptance (both scales) were mediators of improvement common to both MBCT and CBT. Changes in mindfulness, self-criticism, and self-compassion mediated improvements only in the MBCT group. CONCLUSIONS: Both MBCT and CBT are effective for improving symptoms in women with PVD when assessed 12 months later. The findings have implications for understanding common and potentially distinct pathways by which CBT and MBCT improve pain and sex-related distress in women with PVD. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".