265 Postpartum Dyspareunia and Sexual Functioning: A Prospective Cohort Study
Bibliographic record
Abstract
ABSTRACT Introduction Dyspareunia is a common short-term pregnancy complication. Possible risk factors for perineal pain after childbirth include perineal trauma, mode of delivery and breastfeeding. Objective Considering the important implications of dyspareunia on women's quality of life. Our study aims to investigate the prevalence and determinants of dyspareunia and sexual dysfunction before and after childbirth. Methods Between November 2018 and December 2019, 150 women in their third trimester of pregnancy were enrolled in a prospective cohort study at gynecology and obstetrics Department-Ben Arous Regional Hospital. Dyspareunia and perineal pain after childbirth were evaluated at 6 months postpartum and were assessed using validated self-report questionnaires: Female Sexual Function Index (FSFI) validated Arabic version. This questionnaire evaluates the different parameters of female sexual function, recommended by the American Foundation for Health and Sexual Function. The collected data were systematically transcribed into a database and database, and their analysis was carried out with the help of the statistical software "SPSS 21" with the use of chi-square tests, and the ANOVA method. Results The mean FSFI pain domain score was 3.68 after delivery. Indeed, in our study, 82% of women reported dyspareunia after delivery. Sixteen percent of women rated the degree of discomfort during penetration after delivery as high and 18 % as very high. At six months postpartum, the degree of dyspareunia was significantly associated with the route of delivery (p = 0,005), perineal injury (p = 0,001) and breastfeeding (p = 0,026). Conclusions Our findings affirm that dyspareunia is a very common complaint after childbirth. Given the high prevalence and its impact on a woman's quality of life, special attention should be paid to this common complaint during the postpartum period. Disclosure Work supported by industry: no.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".