Evidence map›Paper›PMID 28635158›Full record

ArticleMaternal & child nutrition2018

Prepregnancy overweight and obesity are associated with impaired child neurodevelopment.

Elizabeth Marie Widen, Linda Gross Kahn, Piera Cirillo, Barbara Cohn, Katrina Lynn Kezios, Pam Factor-Litvak

Open access · bronzeAbstract read
In one paragraph

Article in Maternal & child nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  3. A Review of the Effects of Maternal and Paternal Obesity on Neurodevelopmental Disorders and Related Neurobiology in Rodent and Human Offspring.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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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

6 authors at 3 institutions in 1 country.

Elizabeth Marie WidenDepartment of Nutritional Sciences, University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-9574-6109
Linda Gross KahnDepartment of Pediatrics, New York University School of Medicine, New York, New York, USA.
Piera CirilloChild Health and Development Studies, Berkeley, California, USA.
Barbara CohnChild Health and Development Studies, Berkeley, California, USA.
Katrina Lynn KeziosDepartment of Epidemiology, Columbia University Medical Center, New York, New York, USA.
Pam Factor-LitvakDepartment of Epidemiology, Columbia University Medical Center, New York, New York, USA.
Columbia University Irving Medical Center · USChild Development Associate · USNew York University · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
OBESITY RESEARCH CENTER TRAINING PROGRAMT32DK007559 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI DYMPNA GALLAGHER · 1989 to 2026
$4.3M
Training Program in Environmental Life Course EpidemiologyT32ES023772 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FACTOR-LITVAK, PAM R, PERERA, FREDERICA P · 2015 to 2019
$1.3M
Pregnancy weight trajectories and offspring adiposityR00HD086304 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI WIDEN, ELIZABETH MARIE · 2018 to 2020
$744k
Pregnancy weight trajectories and offspring adiposityK99HD086304 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI WIDEN, ELIZABETH MARIE · 2016 to 2017
$258k
NICHD NIH HHS K99 HD086304NICHD NIH HHS P2C HD042849NICHD NIH HHS R00 HD086304NIDDK NIH HHS T32 DK007559NIEHS NIH HHS P30 ES009089NIEHS NIH HHS T32 ES023772
6 · The paper itself

Abstract

The authors examined the relationship of prepregnancy body mass index (BMI) and gestational weight gain (GWG) with child neurodevelopment. Mother-child dyads were a subgroup (n = 2,084) of the Child Health and Development Studies from the Oakland, California, area enrolled during pregnancy from 1959 to 1966 and followed at child age 9 years. Linear regression was used to examine associations between prepregnancy BMI, GWG, and standardized Peabody Picture Vocabulary Test and Raven Progressive Matrices scores and to evaluate effect modification of GWG by prepregnancy BMI. Before pregnancy, 77% of women were normal weight, 8% were underweight, 11% were overweight, and 3% were obese. Associations between GWG and child outcomes did not vary by prepregnancy BMI, suggesting no evidence for interaction. In multivariable models, compared to normal prepregnancy BMI, prepregnancy overweight and obesity were associated with lower Peabody scores (b: -1.29; 95% CI [-2.6, -0.04] and b: -2.7; 95% CI [-5.0, -0.32], respectively). GWG was not associated with child Peabody score [b: -0.03 (95% CI: -0.13, 0.07)]. Maternal BMI and GWG were not associated with child Raven score (all P >0.05). Maternal prepregnancy overweight and obesity were associated with lower scores for verbal recognition in mid-childhood. These results contribute to evidence linking maternal BMI with child neurodevelopment. Future research should examine the role of higher prepregnancy BMI values and the pattern of pregnancy weight gain in child cognitive outcomes.

Indexed as

Fetal DevelopmentMaternal Nutritional Physiological PhenomenaNeurogenesisAdultBody Mass IndexCaliforniaChildChild DevelopmentCohort StudiesFemaleFollow-Up StudiesHumansMaleNeurodevelopmental DisordersObesityOverweightchild developmentcognitive developmentmaternal obesitypregnancy

Identifiers

PMID28635158
PMCPMC5739977
OpenAlexW2641797065

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.