Evidence map›Paper›PMID 32873910›Full record

ArticleInternational journal of obesity (2005)2020

Association between cesarean delivery types and obesity in preadolescence.

Alexandra R Sitarik, Suzanne L Havstad, Christine C Johnson, Kyra Jones, Albert M Levin, Susan V Lynch, Dennis R Ownby, Andrew G Rundle, Jennifer K Straughen, Ganesa Wegienka and 3 more

Open access · greenAbstract read
In one paragraph

Article in International journal of obesity (2005), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Risk Factors in the First 1000 Days of Life Associated With Childhood Obesity: A Systematic Review and Risk Factor Quality Assessment.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  2. Pooled it
  3. Effect of Perinatal and Maternal Factors on Blood Pressure and Adiposity at Age 3.Journal of clinical hypertension (Greenwich, Conn.) · 2026
    Observational
  4. Article
  5. Article
  6. Article
  7. Impact of Spirometry Race-Correction on Preadolescent Black and White Children.The journal of allergy and clinical immunology. In practice · 2023
    Article
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  10. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 1 country.

Alexandra R SitarikDepartment of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA. asitari1@hfhs.org.ORCID http://orcid.org/0000-0001-8957-389X
Suzanne L HavstadDepartment of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA.
Christine C JohnsonDepartment of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA.
Kyra JonesDepartment of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA.
Albert M LevinDepartment of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA.
Susan V LynchDivision of Gastroenterology, Department of Medicine, University of California, San Francisco, CA, USA.
Dennis R OwnbyDivision of Allergy & Immunology, Medical College of Georgia at Augusta University, Augusta, Georgia.
Andrew G RundleDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Jennifer K StraughenDepartment of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA.
Ganesa WegienkaDepartment of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA.
Kimberley J WoodcroftDepartment of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA.
Germaine J M YongDivision of Gastroenterology, Department of Medicine, University of California, San Francisco, CA, USA.
Andrea E Cassidy-BushrowDepartment of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA.ORCID http://orcid.org/0000-0001-8272-4448
Henry Ford Health System · USUniversity of California, San Francisco · USAugusta University · USColumbia University · US

Funding

The Effect of Dog-Keeping and the Intestinal Microbiota on Immune DevelopmentP01AI089473 · NIAID · HENRY FORD HEALTH SYSTEM · PI OWNBY, DENNIS R · 2012 to 2024
$25.7M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Delivery mode, environment and the gut microbiome: influence on childhood body sizeR01HD082147 · NICHD · HENRY FORD HEALTH SYSTEM · PI CASSIDY-BUSHROW, ANDREA E · 2016 to 2020
$3.0M
Early Environmental Hygiene and Pediatric AtopyR01AI050681 · NIAID · HENRY FORD HEALTH SYSTEM · PI JOHNSON, CHRISTINE C · 2002 to 2006
$2.9M
EPIDEMIOLOGY OF ALLERGIC DISEASE ENDOTYPESR01AI110450 · NIAID · HENRY FORD HEALTH SYSTEM · PI WEGIENKA, GANESA REBECCA · 2015 to 2019
$1.7M
EARLY LIFE VITAMIN D, RACIAL DISPARITIES, AND WHEEZINGR01HL113010 · NHLBI · HENRY FORD HEALTH SYSTEM · PI WEGIENKA, GANESA REBECCA · 2012 to 2014
$1.2M
NHLBI NIH HHS R01 HL113010NIAID NIH HHS P01 AI089473NIAID NIH HHS R01 AI050681NIAID NIH HHS R01 AI110450NICHD NIH HHS R01 HD082147NIDDK NIH HHS P30 DK111022
6 · The paper itself

Abstract

BACKGROUND/

objectivesThe association between mode of delivery and childhood obesity remains inconclusive. Because few studies have separated C-section types (planned or unplanned C-section), our objective was to assess how these subtypes relate to preadolescent obesity. SUBJECTS/

methodsThe study consisted of 570 maternal-child pairs drawn from the WHEALS birth cohort based in Detroit, Michigan. Children were followed-up at 10 years of age where a variety of anthropometric measurements were collected. Obesity was defined based on BMI percentile (≥95th percentile), as well as through Gaussian finite mixture modeling on the anthropometric measurements. Risk ratios (RRs) and 95% confidence intervals (CIs) for obesity comparing planned and unplanned C-sections to vaginal deliveries were computed, which utilized inverse probability weights to account for loss to follow-up and multiple imputation for covariate missingness. Mediation models were fit to examine the mediation role of breastfeeding.

resultsAfter adjusting for marital status, maternal race, prenatal tobacco smoke exposure, maternal age, maternal BMI, any hypertensive disorders during pregnancy, gestational diabetes, prenatal antibiotic use, child sex, parity, and birthweight z-score, children born via planned C-section had 1.77 times higher risk of obesity (≥95th percentile), relative to those delivered vaginally ((95% CI) = (1.16, 2.72); p = 0.009). No association was found comparing unplanned C-section to vaginal delivery (RR (95% CI) = 0.75 (0.45, 1.23); p = 0.25). The results were similar but slightly stronger when obesity was defined by anthropometric class (RR (95% CI) = 2.78 (1.47, 5.26); p = 0.002). Breastfeeding did not mediate the association between mode of delivery and obesity.

conclusionsThese findings indicate that children delivered via planned C-section-but not unplanned C-section-have a higher risk of preadolescent obesity, suggesting that partial labor or membrane rupture (typically experienced during unplanned C-section delivery) may offer protection. Additional research is needed to understand the biological mechanisms behind this effect, including whether microbiological differences fully or partially account for the association.

Indexed as

Body Mass IndexBreast FeedingCesarean SectionChildDelivery, ObstetricFemaleHumansMaleMichiganPediatric Obesity

Identifiers

PMID32873910
PMCPMC7530127
OpenAlexW3082482004

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.