The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Prenatal exposure to antibiotics, cesarean section and risk of childhood obesity
Open accessAbstract
Background/Objectives:Cesarean section (CS) and antibiotic use during pregnancy may alter normal maternal-offspring microbiota exchange, thereby contributing to aberrant microbial colonization of the infant gut and increased susceptibility to obesity later in life. We hypothesized that (i) maternal use of antibiotics in the second or third trimester of pregnancy and (ii) CS are independently associated with higher risk of childhood obesity in the offspring.Subjects/Methods:Of the 727 mothers enrolled in the Northern Manhattan Mothers and Children Study, we analyzed the 436 mother–child dyads followed until 7 years of age with complete data. We ascertained prenatal antibiotic use by a questionnaire administered late in the third trimester, and delivery mode by medical record. We derived age- and sex-specific body mass index (BMI) z-scores using the CDC SAS Macro, and defined obesity as BMI z⩾95th percentile. We used binary regression with robust variance and linear regression models adjusted for maternal age, ethnicity, pre-gravid BMI, maternal receipt of public assistance, birth weight, sex, breastfeeding in the first year and gestational antibiotics or delivery mode.Results:Compared with children not exposed to antibiotics during the second or third trimester, those exposed had 84% (33–154%) higher risk of obesity, after multivariable adjustment. Second or third trimester antibiotic exposure was also positively associated with BMI z-scores, waist circumference and % body fat (all P<0.05). Independent of prenatal antibiotic usage, CS was associated with 46% (8–98%) higher offspring risk of childhood obesity. Associations were similar for elective and non-elective CS.Conclusions:In our cohort, CS and exposure to antibiotics in the second or third trimester were associated with higher offspring risk of childhood obesity. Future studies that address the limitations of our study are warranted to determine if prenatal antibiotic use is associated with offspring obesity. Research is also needed to determine if alterations in neonatal gut microbiota underlie the observed associations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Marginal Structural Models and Causal Inference in Epidemiology
Robins, J. M., Hernán, M. Á., & Brumback, B. (2000) · Epidemiology · doi:10.1097/00001648-200009000-00011 · Cited by 5,581
Dominguez-Bello, M. G., Costello, E. K., Contreras, M., Magris, M., Hidalgo, G., Fierer, N., & Knight, R. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002601107 · Cited by 4,774
Self-citationGut Microbiota from Twins Discordant for Obesity Modulate Metabolism in Mice
Ridaura, V. K., Faith, J. J., Rey, F. E., Cheng, J., Duncan, A. E., Kau, A. L., Griffin, N. W., Lombard, V., Henrissat, B., Bain, J. R., et al. (2013) · Science · doi:10.1126/science.1241214 · Cited by 3,788
Development of the Human Infant Intestinal Microbiota
Palmer, C., Bik, E. M., DiGiulio, D. B., Relman, D. A., & Brown, P. O. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050177 · Cited by 2,877
A structural approach to selection bias
Hernán, M. A., Hernández-Díaz, S., & Robins, J. M. (2004) · Epidemiology · doi:10.1097/01.ede.0000135174.63482.43 · Cited by 2,844 · cited 1×
“We also excluded those (22) born prematurely (i.”
Systematic review and meta-analysis
(2019) · Providing Information for Health · doi:10.1201/9781315377315-19 · Cited by 2,659
The Placenta Harbors a Unique Microbiome
Aagaard, K., Ma, J., Antony, K. M., Ganu, R., Petrosino, J., & Versalovic, J. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3008599 · Cited by 2,494
Factors influencing the composition of the intestinal microbiota in early infancy
Penders, J., Thijs, C., Vink, C., Stelma, F. F., Snijders, B., Kummeling, I., van den Brandt, P. A., & Stobberingh, E. E. (2006) · PEDIATRICS · doi:10.1542/peds.2005-2824 · Cited by 2,232
Easy SAS Calculations for Risk or Prevalence Ratios and Differences
Spiegelman, D. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwi188 · Cited by 1,738
Antibiotics in early life alter the murine colonic microbiome and adiposity
Cho, I., Yamanishi, S., Cox, L., Methé, B. A., Zavadil, J., Li, K., Gao, Z., Mahana, D., Raju, K., Teitler, I., et al. (2012) · Nature · doi:10.1038/nature11400 · Cited by 1,613
Cited by
Short-term and long-term effects of caesarean section on the health of women and children
Sandall, J., Tribe, R. M., Avery, L., Mola, G., Visser, G. H., Homer, C. S., Gibbons, D., Kelly, N. M., Kennedy, H. P., Kidanto, H., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31930-5 · Cited by 1,394
Hampl, S. E., Hassink, S. G., Skinner, A. C., Armstrong, S. C., Barlow, S. E., Bolling, C. F., Avila Edwards, K. C., Eneli, I., Hamre, R., Joseph, M. M., et al. (2023) · Pediatrics · doi:10.1542/peds.2022-060640 · Cited by 1,389
Metabolism disrupting chemicals and metabolic disorders
Heindel, J. J., Blumberg, B., Cave, M., Machtinger, R., Mantovani, A., Mendez, M. A., Nadal, A., Palanza, P., Panzica, G., Sargis, R., et al. (2017) · Reproductive Toxicology · doi:10.1016/j.reprotox.2016.10.001 · Cited by 1,101
The infant microbiome development: Mom matters
Mueller, N. T., Bakacs, E., Combellick, J., Grigoryan, Z., & Dominguez-Bello, M. G. (2015) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2014.12.002 · Cited by 943
Self-citationThe gut microbiota in human energy homeostasis and obesity
Rosenbaum, M., Knight, R., & Leibel, R. L. (2015) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2015.07.002 · Cited by 450
Metadata
- Authors
- Mueller, N. T., Whyatt, R., Hoepner, L., Oberfield, S., Dominguez-Bello, M. G., Widen, E. M., Hassoun, A., Perera, F., & Rundle, A.
- Venue
- International Journal of Obesity
- Published
- 2014-10-09
- Volume
- 39
- Issue
- 4
- Pages
- 665-670
- ISSN
- 0307-0565 (ISSN-L)
- 1476-5497
- OpenAlex
- W2151312927
- Cited by
- 485
- References
- 48
- FWCI
- 15.09
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Prenatal exposure to antibiotics, cesarean section and risk of childhood obesity. https://app.cochat.ai/papers/10.1038/ijo.2014.180
- The paper
- Mueller, N. T., Whyatt, R., Hoepner, L., Oberfield, S., Dominguez-Bello, M. G., Widen, E. M., Hassoun, A., Perera, F., & Rundle, A. (2015). Prenatal exposure to antibiotics, cesarean section and risk of childhood obesity. International Journal of Obesity. https://doi.org/10.1038/ijo.2014.180
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.