Eastern Approaches for Enhancing Women's Sexuality: Mindfulness, Acupuncture, and Yoga (CME)
Bibliographic record
Abstract
INTRODUCTION: A significant proportion of women report unsatisfying sexual experiences despite no obvious difficulties in the traditional components of sexual response (desire, arousal, and orgasm). Some suggest that nongoal-oriented spiritual elements to sexuality might fill the gap that more contemporary forms of treatment are not addressing. AIM: Eastern techniques including mindfulness, acupuncture, and yoga, are Eastern techniques, which have been applied to women's sexuality. Here, we review the literature on their efficacy. METHODS: Our search revealed two empirical studies of mindfulness, two of acupuncture, and one of yoga in the treatment of sexual dysfunction. MAIN OUTCOME MEASURE: Literature review of empirical sources. RESULTS: Mindfulness significantly improves several aspects of sexual response and reduces sexual distress in women with sexual desire and arousal disorders. In women with provoked vestibulodynia, acupuncture significantly reduces pain and improves quality of life. There is also a case series of acupuncture significantly improving desire among women with hypoactive sexual desire disorder. Although yoga has only been empirically examined and found to be effective for treating sexual dysfunction (premature ejaculation) in men, numerous historical books cite benefits of yoga for women's sexuality. CONCLUSIONS: The empirical literature supporting Eastern techniques, such as mindfulness, acupuncture, and yoga, for women's sexual complaints and loss of satisfaction is sparse but promising. Future research should aim to empirically support Eastern techniques in women's sexuality.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".