Aspects of Sexual Self-Schema in Premenopausal Women with Dyspareunia: Associations with Pain, Sexual Function, and Sexual Distress
Bibliographic record
Abstract
INTRODUCTION: Although it is known that women with dyspareunia suffer from impaired psychological and sexual functioning, the study of the various dimensions of sexual self-schema and their associations with these outcomes has been neglected. AIM: To examine whether self-image cognitions about vaginal penetration, body image, and feelings and beliefs about one's own genitals contribute to the variance in pain, sexual functioning, and sexual distress. METHODS: Premenopausal women (n = 231; M age = 24.85, SD = 5.55) with self-reported dyspareunia completed an online survey focusing on self-image cognitions about vaginal penetration, body image, female genital self-image, pain during intercourse, sexual functioning, sexual distress, anxiety, and catastrophizing. MAIN OUTCOME MEASURES: (i) Pain intensity during intercourse, (ii) the Female Sexual Function Index without the Pain subscale, and (iii) the Female Sexual Distress Scale. RESULTS: Controlling for anxiety and catastrophizing, negative self-image cognitions about vaginal penetration, negative body image, and negative genital self-image together accounted for a portion of the variance in increased pain intensity, sexual dysfunction, and sexual distress. However, only self-image cognitions about vaginal penetration (β = 0.25, P = 0.005) contributed uniquely to the variance in pain intensity, whereas self-image cognitions about vaginal penetration (β = -0.18, P = 0.048) and genital self-image (β = 0.21, P = 0.008) contributed independently to the variance in sexual functioning. Finally, self-image cognitions about vaginal penetration (β = 0.28, P < 0.001), body image (β = 0.24, P < 0.001) and genital self-image (β = -0.14, P = 0.006) each contributed independently to the variance in sexual distress. CONCLUSIONS: Findings suggest that self-image cognitions about vaginal penetration and feelings and beliefs about one's own body and genitals are associated with pain and sexuality outcomes in women with dyspareunia.
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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 | 0.000 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".