ArticleAJOG global reports2025
Gestational weight gain and increased risk of cesarean delivery across body mass index categories.
Article in AJOG global reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
4 citing papers in PubMed.
- Influence of Preconception Maternal BMI and Gestational Weight Gain on Perinatal Outcomes.Cureus · 2026Article
- Impact of trimester-specific nutrition counseling on maternal vitamin D status, and perinatal outcomes in India: a quasi-experimental cohort study.BMC public health · 2026Article
- Article
- Hispanic Views About Online Information on Weight Gain, Diet, and Physical Activity in Pregnancy: A Qualitative Study.Global qualitative nursing researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
backgroundUnnecessary cesarean delivery can have negative implications for both mothers and infants. In the United States, the proportion of women undergoing cesarean delivery exceeds the acceptable World Health Organization proportion. Reducing cesarean deliveries is a national goal of Centers for Disease Control and Prevention Healthy People 2030, the American College of Obstetricians and Gynecologists, and the Alliance for Innovation on Maternal Health.
objectiveThis study aimed to examine if excessive gestational weight gain is associated with increased risk of cesarean delivery across multiple body mass index categories. STUDY
designAnalysis was conducted using vital records data from the National Center for Health Statistics birth records. Only low-risk births were included (singleton, term-gestation [≥37 weeks], cephalic presentation, and first birth to exclude women who had a prior cesarean delivery). We used the rate of gestational weight gain (lb/wk) measured as both a categorical and continuous variable. These results were confirmed by a sensitivity analysis using total gestational weight gain (lb).
resultsRegardless of prepregnancy body mass index category, women with excessive gestational weight gain had a higher risk of cesarean delivery. Among women with a healthy prepregnancy body mass index, the risk of cesarean delivery decreased with appropriate weight gain, suggesting a potential protective effect of moderate weight gain for individuals with a healthy prepregnancy body mass index. However, weight gain beyond the appropriate level increased the risk of cesarean delivery. For women with overweight or obese prepregnancy body mass index, any increase in gestational weight gain was associated with a higher cesarean delivery risk.
conclusionThis study found a strong association between an excessive rate of gestational weight gain and the risk of cesarean delivery, regardless of prepregnancy body mass index, suggesting the need for continued efforts to reduce excessive gestational weight gain across populations.
Indexed as
Identifiers
What OpenQuestion holds
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.