A Comparison of Mindfulness-Based Cognitive Therapy Vs Cognitive Behavioral Therapy for the Treatment of Provoked Vestibulodynia in a Hospital Clinic Setting
Bibliographic record
Abstract
INTRODUCTION: Chronic and distressing genito-pelvic pain associated with vaginal penetration is most frequently due to provoked vestibulodynia (PVD). Cognitive behavioral therapy (CBT) significantly reduces genital pain intensity and improves psychological and sexual well-being. In general chronic pain populations, mindfulness-based approaches may be as effective for improving pain intensity as CBT. AIM: To compare mindfulness-based cognitive therapy (MBCT) with CBT in the treatment of PVD. METHODS: To ensure power of 0.95 to find medium effect size or larger in this longitudinal design, we enrolled 130 participants. Of these, 63 were assigned to CBT (mean age 31.2 years), and 67 to MBCT (mean age 33.7 years). Data from all participants who completed baseline measures were analyzed, with intent-to-treat analyses controlling for years since diagnosis. MAIN OUTCOME MEASURES: Our primary outcome was self-reported pain during vaginal penetration at immediate post-treatment and at 6 months' follow-up. Secondary endpoints included pain ratings with a vulvalgesiometer, pain catastrophizing, pain hypervigilance, pain acceptance, sexual function, and sexual distress. RESULTS: There was a significant interaction between group and time for self-reported pain, such that improvements with MBCT were greater than those with CBT. For all other endpoints, both groups led to similar significant improvements, and benefits were maintained at 6 months. CLINICAL IMPLICATIONS: Mindfulness is a promising approach to improving self-reported pain from vaginal penetration and is as effective as CBT for several psychological endpoints. STRENGTH & LIMITATIONS: A strength of the present study was the robust sample size (n = 130 women) who had received confirmed clinical diagnoses of PVD. CONCLUSION: The present study showed mindfulness to be as effective for most pain- and sexuality-related endpoints in the treatment of PVD. Brotto LA, Bergeron S, Zdaniuk B, et al. A Comparison of Mindfulness-Based Cognitive Therapy Vs Cognitive Behavioral Therapy for the Treatment of Provoked Vestibulodynia in a Hospital Clinic Setting. J Sex Med 2019;16:909-923.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".