Trajectories of Dyspareunia From Pregnancy to 24 Months Postpartum
Bibliographic record
Abstract
OBJECTIVE: To identify distinct trajectories of dyspareunia in primiparous women and examine biopsychosocial risk factors of these trajectories. METHODS: This was a prospective cohort of 582 first-time mothers. Participants completed validated measures of dyspareunia at 20-24 (baseline) and 32-36 weeks of gestation and at 3, 6, 12, and 24 months postpartum. Risk factors were assessed at baseline and 3 months postpartum, with labor and delivery characteristics collected by medical record review. Latent class growth analysis was conducted to identify homogeneous subgroups with distinct trajectories of dyspareunia. Univariable and multivariable binomial logistic regressions examined whether predictors were associated with these trajectories. RESULTS: Overall, the prevalence of dyspareunia ranged from 31.4% at 3 months postpartum to 11.9% at 24 months. We identified two distinct classes of dyspareunia with 21% of women in the class with moderate dyspareunia and 79% in the class with minimal dyspareunia, with pain decreasing in both groups until 12 months postpartum and little change thereafter. Biomedical factors-prior chronic pain (including preexisting dyspareunia), labor epidural analgesia, induction, episiotomy, perineal laceration, mode of delivery, breastfeeding, and whether the woman had a new pregnancy during the postpartum period-did not significantly predict dyspareunia class. Greater fatigue (odds ratio [OR] 1.30; 95% CI 1.05-1.60) and depressive symptoms (OR 1.08; 95% CI 1.02-1.14) in pregnancy and fatigue (OR 1.27; 95% CI 1.04-1.56) and pain catastrophizing (OR 1.10; 95% CI 1.05-1.16) at 3 months postpartum increased the odds for the moderate relative to the minimal pain trajectory in univariable models. In a multivariable model, pain catastrophizing at 3 months postpartum (OR 1.09; 95% CI 1.04-1.15) was associated with the moderate relative to the minimal pain trajectory. CONCLUSION: We identified two distinct trajectories of dyspareunia across pregnancy and postpartum. One in five nulliparous women experienced moderate dyspareunia. Pain catastrophizing at 3 months postpartum was associated with experiencing moderate relative to minimal levels of dyspareunia.
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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".