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Updated: Feb 20, 2026

Mouse Model of Surgical Uterine Injury and Subsequent Pregnancy Outcomes
Published on: June 27, 2025
Cliff-edge model predicts intergenerational predisposition to dystocia and Caesarean delivery
Philipp Mitteroecker1, Sonja Windhager2,3, Mihaela Pavlicev4
1Department of Theoretical Biology, University of Vienna, A-1090 Vienna, Austria; philipp.mitteroecker@univie.ac.at.
Caesarean sections may be increasing fetal size, leading to more difficult childbirths (fetopelvic disproportion). Women born via Caesarean delivery are more likely to experience fetopelvic disproportion themselves, supporting the cliff-edge evolutionary model.
Area of Science:
- Human evolution
- Reproductive biology
- Medical anthropology
Background:
- The cliff-edge model proposes that increased Caesarean sections since the mid-20th century have driven evolutionary increases in fetal size relative to maternal pelvic dimensions.
- This evolutionary pressure is hypothesized to increase incidences of fetopelvic disproportion (FPD).
Purpose of the Study:
- To test the cliff-edge model's prediction of intergenerational predisposition to FPD.
- To evaluate if women born via Caesarean delivery for FPD are at higher risk for FPD in their own childbirth.
Main Methods:
- Analysis of multigenerational epidemiological data on childbirth outcomes.
- Comparison of Caesarean delivery risks between women born via Caesarean versus vaginally, specifically for anatomical indications of FPD.
Main Results:
- Multigenerational studies show an intergenerational predisposition to surgical delivery.
- Women born by Caesarean delivery for FPD face up to twice the risk of Caesarean delivery compared to women born vaginally.
- The study's model predicts a 2.8-fold increased risk of FPD for mothers born by Caesarean due to FPD.
Conclusions:
- Findings support the cliff-edge model of obstetric selection and its assumptions.
- The intergenerational link between Caesarean delivery for FPD and subsequent risk provides evidence for evolutionary pressures on human childbirth.
- Despite idealizations, the model's congruence with epidemiological data strengthens its validity.
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