Practice for Parturition: Does Sexual Activity Improve Labor and Birth Outcomes?
Bibliographic record
Abstract
Niles Newton, a prolific reproductive biologist, described physical, psychological, and hormonal similarities between female sexual response and childbirth. Such phenotypic overlap indicates shared mechanisms, which led Newton to suggest that dysfunction in one process could interfere with the other process. There currently exists very little research on how pre-birth female sexuality impacts subsequent parturition. We address this knowledge gap and extend Newton's work by proposing that sexual activity provides opportunities for women to physically and psychologically prepare for childbirth, a process that we call "practice for parturition." To introduce and describe the practice for parturition framework, we provide a detailed review of salient reflexes of the female genito-pelvis, as well as psychological states that facilitate both sexual pleasure and parturition. These physical and psychological mechanisms represent putative links between sex and birth that underpin our prediction that sexual activity provides birth preparation for women. We demonstrate the utility of the practice for parturition framework through three systematic reviews, evaluating the following hypotheses: (1) Pelvic floor interventions jointly improve sexual function and birth outcomes; (2) the presence of pre-birth sexual activity and/or sexual function predicts improved labor and birth; and (3) the presence of sexual dysfunction impairs birth outcomes. Results from our review provide notable evidence supporting the three hypotheses, although there are little to no data directly linking female orgasm or arousal with parturition. We describe specific ideas for further tests of the practice for parturition hypothesis, its practical implications, and the relevance of sex-birth interrelationships to informing ongoing debates concerning the evolutionary biology of female orgasm and sexuality more broadly. The practice for parturition hypothesis provides an organizing and testable framework through which to investigate potential benefits of female sexuality on birth.
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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 | 0.014 | 0.069 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".