Evidence map›Paper›PMID 42083880›Full record

SynthesisObesity reviews : an official journal of the International Association for the Study of Obesity2026

Maternal Overnutrition in Pregnancy Predicts Greater Body Mass Index Gains in Offspring by Early Midlife: A Systematic Review and Meta-Analysis.

Szimonetta Eitmann, Péter Mátrai, Péter Hegyi, Márta Balaskó, Erika Pétervári

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Szimonetta EitmannInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID https://orcid.org/0000-0002-3420-9940
Péter MátraiInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID https://orcid.org/0000-0001-5144-0733
Péter HegyiInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.
Márta BalaskóInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID https://orcid.org/0000-0003-4377-9758
Erika PéterváriInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID https://orcid.org/0000-0002-3673-8491

Funding

National Research, Development and Innovation Fund of Hungary K138452
6 · The paper itself

Abstract

Maternal overnutrition during pregnancy predisposes children to increased adiposity later in life. This systematic review and meta-analysis examined how this association persists into adulthood and whether it differs by sex. MEDLINE, EMBASE, Scopus, and CENTRAL were searched for human studies published in English before May 2025. From 9191 screened records, 29 studies (430,764 mother-offspring pairs) provided quantitative data on the link between maternal pre-pregnancy body mass index (ppBMI) or gestational weight gain (GWG) and adiposity in adult offspring. The meta-analysis found significant positive associations between maternal ppBMI and offspring BMI, body fat percentage, or waist circumference. Each 1 kg/m

Indexed as

Body Mass IndexGestational Weight GainMaternal Nutritional Physiological PhenomenaObesityOvernutritionPregnancy ComplicationsPrenatal Exposure Delayed EffectsAdiposityAdultDevelopmental Origins of Health and DiseaseFemaleHumansPregnancybody mass indexgestational weight gainmaternal obesityoffspring

Identifiers

PMID42083880
PMCPMC13655943

What OpenQuestion holds

Textmetadata
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.