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Cliff-edge model predicts intergenerational predisposition to dystocia and Caesarean delivery
Recently, we presented the cliff-edge model to explain the evolutionary persistence of relatively high incidences of fetopelvic disproportion (FPD) in human childbirth. According to this model, the regular application of Caesarean sections since the mid-20th century has triggered an evolutionary inc...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676923/ https://www.ncbi.nlm.nih.gov/pubmed/29078368 http://dx.doi.org/10.1073/pnas.1712203114 |
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author | Mitteroecker, Philipp Windhager, Sonja Pavlicev, Mihaela |
author_facet | Mitteroecker, Philipp Windhager, Sonja Pavlicev, Mihaela |
author_sort | Mitteroecker, Philipp |
collection | PubMed |
description | Recently, we presented the cliff-edge model to explain the evolutionary persistence of relatively high incidences of fetopelvic disproportion (FPD) in human childbirth. According to this model, the regular application of Caesarean sections since the mid-20th century has triggered an evolutionary increase of fetal size relative to the dimensions of the maternal birth canal, which, in turn, has inflated incidences of FPD. While this prediction is difficult to test in epidemiological data on Caesarean sections, the model also implies that women born by Caesarean because of FPD are more likely to develop FPD in their own childbirth compared with women born vaginally. Multigenerational epidemiological studies indeed evidence such an intergenerational predisposition to surgical delivery. When confined to anatomical indications, these studies report risks for Caesarean up to twice as high for women born by Caesarean compared with women born vaginally. These findings provide independent support for our model, which we show here predicts that the risk of FPD for mothers born by Caesarean because of FPD is 2.8 times the risk for mothers born vaginally. The congruence between these data and our prediction lends support to the cliff-edge model of obstetric selection and its underlying assumptions, despite the genetic and anatomical idealizations involved. |
format | Online Article Text |
id | pubmed-5676923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-56769232017-11-15 Cliff-edge model predicts intergenerational predisposition to dystocia and Caesarean delivery Mitteroecker, Philipp Windhager, Sonja Pavlicev, Mihaela Proc Natl Acad Sci U S A Biological Sciences Recently, we presented the cliff-edge model to explain the evolutionary persistence of relatively high incidences of fetopelvic disproportion (FPD) in human childbirth. According to this model, the regular application of Caesarean sections since the mid-20th century has triggered an evolutionary increase of fetal size relative to the dimensions of the maternal birth canal, which, in turn, has inflated incidences of FPD. While this prediction is difficult to test in epidemiological data on Caesarean sections, the model also implies that women born by Caesarean because of FPD are more likely to develop FPD in their own childbirth compared with women born vaginally. Multigenerational epidemiological studies indeed evidence such an intergenerational predisposition to surgical delivery. When confined to anatomical indications, these studies report risks for Caesarean up to twice as high for women born by Caesarean compared with women born vaginally. These findings provide independent support for our model, which we show here predicts that the risk of FPD for mothers born by Caesarean because of FPD is 2.8 times the risk for mothers born vaginally. The congruence between these data and our prediction lends support to the cliff-edge model of obstetric selection and its underlying assumptions, despite the genetic and anatomical idealizations involved. National Academy of Sciences 2017-10-31 2017-10-16 /pmc/articles/PMC5676923/ /pubmed/29078368 http://dx.doi.org/10.1073/pnas.1712203114 Text en Copyright © 2017 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .https://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Biological Sciences Mitteroecker, Philipp Windhager, Sonja Pavlicev, Mihaela Cliff-edge model predicts intergenerational predisposition to dystocia and Caesarean delivery |
title | Cliff-edge model predicts intergenerational predisposition to dystocia and Caesarean delivery |
title_full | Cliff-edge model predicts intergenerational predisposition to dystocia and Caesarean delivery |
title_fullStr | Cliff-edge model predicts intergenerational predisposition to dystocia and Caesarean delivery |
title_full_unstemmed | Cliff-edge model predicts intergenerational predisposition to dystocia and Caesarean delivery |
title_short | Cliff-edge model predicts intergenerational predisposition to dystocia and Caesarean delivery |
title_sort | cliff-edge model predicts intergenerational predisposition to dystocia and caesarean delivery |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676923/ https://www.ncbi.nlm.nih.gov/pubmed/29078368 http://dx.doi.org/10.1073/pnas.1712203114 |
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