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BMC Pregnancy and Childbirth

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Open Access 01-12-2020 | Obesity | Research article

Use of the Robson classification to understand the increased risk of cesarean section in case of maternal obesity

Authors: Simon Crequit, Diane Korb, Cécile Morin, Thomas Schmitz, Olivier Sibony

Published in: BMC Pregnancy and Childbirth | Issue 1/2020

Abstract

Background

The aim of this study was to identify characteristics of pregnant women with obesity that contribute to increased cesarean rate.

Methods

Retrospective cohort in a single academic institution between 2012 and 2019. Women who delivered during this period were classified according to the Robson classification. Women with normal body mass index (N = 11,797) and with obesity (N = 2991) were compared. The contribution of each Robson group to the overall caesarean rate were compared.

Results

The overall cesarean rate was higher for women with (28.1%) than without (14.2%, p < 0.001) obesity. This result came mainly from Robson group 5a (history of one cesarean). After adjustment for medical factors within this group, the association between maternal obesity and cesarean during labor was significant.

Conclusions

The higher cesarean rate in women with obesity is explained by Robson group 5a in which obesity is an independent risk factor of in labor cesarean delivery.

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Title: Use of the Robson classification to understand the increased risk of cesarean section in case of maternal obesity
Authors: Simon Crequit
Diane Korb
Cécile Morin
Thomas Schmitz
Olivier Sibony
Publication date: 01-12-2020
Publisher: BioMed Central
Keywords: Obesity
Obesity
Sectio Ceasarea
Sectio Caesarea
Published in: BMC Pregnancy and Childbirth / Issue 1/2020
Electronic ISSN: 1471-2393
DOI: https://doi.org/10.1186/s12884-020-03410-z

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Use of the Robson classification to understand the increased risk of cesarean section in case of maternal obesity

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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