ArticleAmerican journal of obstetrics and gynecology2017
Interdelivery weight gain and risk of cesarean delivery following a prior vaginal delivery.
Article in American journal of obstetrics and gynecology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- The impact of interpregnancy weight change on perinatal outcomes in women and their children: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2020Pooled it
- Does a larger estimated fetus compared with prior birthweight increase the risk of cesarean delivery after a prior vaginal birth?Archives of gynecology and obstetrics · 2026Article
- Examining Interpregnancy Weight Change Across a Birthing Population in Aotearoa, New Zealand.The Australian & New Zealand journal of obstetrics & gynaecology · 2025Article
- Interpregnancy Body Mass Index Change and Offspring Mortality Risk following the Second Pregnancy.American journal of perinatology · 2023Article
- Interpregnancy weight change and perinatal outcomes: A protocol for a systematic review and meta-analysis.Medicine · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundApproximately one third of all deliveries in the United States are via cesarean. Previous research indicates weight gain during pregnancy is associated with an increased risk of cesarean delivery. It remains unclear, however, whether and to what degree weight gain between deliveries (ie, interdelivery weight gain) is associated with cesarean delivery in a subsequent pregnancy following a vaginal delivery.
objectivesThe objective of the study was to determine whether interdelivery weight gain is associated with an increased risk of intrapartum cesarean delivery following a vaginal delivery. STUDY
designThis was a case-control study of women who had 2 consecutive singleton births of at least 36 weeks' gestation between 2005 and 2016, with a vaginal delivery in the index pregnancy. Women were excluded if they had a contraindication to a trial of labor (eg, fetal malpresentation or placenta previa) in the subsequent pregnancy. Maternal characteristics and delivery outcomes for both pregnancies were abstracted from the medical record. Maternal weight gain between deliveries was measured as the change in body mass index at delivery. Women who underwent a subsequent cesarean delivery were compared with those who had a repeat vaginal delivery using χ
resultsOf 10,396 women who met eligibility criteria and had complete data, 218 (2.1%) had a cesarean delivery in the subsequent pregnancy. Interdelivery weight gain was significantly associated with cesarean delivery and remained significant in multivariable analysis for women with a body mass index increase of at least 2 kg/m
conclusionAmong women with a prior vaginal delivery, interdelivery weight gain was independently associated with an increased risk of intrapartum cesarean delivery in a subsequent pregnancy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.