For new mothers, the relationship matters: Relationship characteristics and postpartum sexuality
Bibliographic record
Abstract
Postpartum sexuality has traditionally been studied using a biomedical framework, which focuses on how the physical and biological changes that occur during pregnancy and childbirth affect the resumption of pain-free intercourse. The current study sought to use a more inclusive and contextual approach by investigating how relationship characteristics are related to postpartum sexual desire and predict the resumption of a variety of sexual activities. A total of 188 new mothers who were within one year postpartum completed an online study. The Sexual Desire Inventory was used to measure solitary and dyadic sexual desire. Relationship satisfaction was measured using the Relationship Assessment Scale and perception of partner's sexual desire was measured using three modified questions from the Sexual Desire Inventory. New mothers were also asked to report when they resumed a variety of sexual activities in the postpartum period. Relationship satisfaction and perceptions of partner's desire were negatively correlated with solitary sexual desire, and relationship satisfaction was positively correlated with dyadic sexual desire. Birth-related factors were not related to postpartum sexual desire. New mothers' perception of their partner's desire predicted the resumption of most sexual activities in the postpartum (i.e., manual stimulation of new mother's and partner's genitals, oral stimulation of partner's genitals, penile-vaginal intercourse). Relationship satisfaction predicted the resumption of oral stimulation of the new mother's genitals. The results of this study support the incorporation of contextual factors, such as relationship characteristics, and the inclusion of non-penetrative sexual activities in the study of postpartum 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".