Evidence map›Paper›PMID 38244816›Full record

ArticleNeurotoxicology and teratology

Maternal prenatal lead levels and neonatal brain volumes: Testing moderations by maternal depressive symptoms and family income.

Amanda C Wylie, Sarah J Short, Rebecca C Fry, W Roger Mills-Koonce, Cathi B Propper

Open access · greenAbstract read
In one paragraph

Article in Neurotoxicology and teratology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Amanda C WylieDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, United States; Frank Porter Graham Child Development Institute, University of North Carolina at Chapel Hill, United States. Electronic address: acwylie@live.unc.edu.
Sarah J ShortDepartment of Educational Psychology, University of Wisconsin-Madison, United States; Center for Healthy Minds, University of Wisconsin-Madison, United States.
Rebecca C FryDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, United States; Institute for Environmental Health Solutions, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, United States.
W Roger Mills-KoonceSchool of Education, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Cathi B PropperFrank Porter Graham Child Development Institute, University of North Carolina at Chapel Hill, United States; School of Nursing, University of North Carolina at Chapel Hill, United States.
University of North Carolina at Chapel Hill · USUniversity of Wisconsin–Madison · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
From Biological to Social Processes: Interdisciplinary Training in Life Course ResearchT32HD091058 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT A HUMMER, Amanda L Thompson · 2017 to 2026
$4.3M
A mechanistic study of the association between poverty and executive functions in early childhood: Contributions of early brain development and the early caregiving environmentR01HD091148 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PROPPER, CATHI BARBRA, SHORT, SARAH J · 2018 to 2022
$3.4M
Latent profiles of prenatal exposure to toxic metals and psychosocial risk and protective factors: testing associations with child developmental outcomes and moderations by caregiving experienceF31ES034256 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WYLIE, AMANDA C. · 2023 to 2024
$56k
NICHD NIH HHS R01 HD091148NICHD NIH HHS T32 HD091058NIEHS NIH HHS F31 ES034256NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

There is considerable evidence that prenatal lead exposure is detrimental to child cognitive and socio-emotional development. Further evidence suggests that the effects of prenatal lead on developmental outcomes may be conditional upon exposure to social stressors, such as maternal depression and low socioeconomic status. However, no studies have examined associations between these co-occurring stressors during pregnancy and neonatal brain volumes. Leveraging a sample of 101 mother-infant dyads followed beginning in mid-pregnancy, we examined the main effects of prenatal urinary lead levels on neonatal lateralized brain volumes (left and right hippocampus, amygdala, cerebellum, frontal lobes) and total gray matter. We additionally tested for moderations between lead and depressive symptoms and between lead and family income relative to the federal poverty level (FPL) on the same neurodevelopmental outcomes. Analyses of main effects indicated that prenatal lead was significantly (ps < 0.05) associated with reduced right and left amygdala volumes (βs = -0.23- -0.20). The testing and probing of cross-product interaction terms using simple slopes indicated that the negative effect of lead on the left amygdala was conditional upon mothers having low depressive symptoms or high income relative to the FPL. We interpret the results in the context of trajectories of prenatal and postnatal brain development and susceptibility to low levels of prenatal lead in the context of other social stressors.

Indexed as

DepressionPrenatal Exposure Delayed EffectsBrainFemaleHumansInfantInfant, NewbornLeadMothersPregnancyLeadBrain developmentDepressionFetal developmentLeadNeuroimagingPrenatal programming

Identifiers

PMID38244816
PMCPMC10990786
OpenAlexW4390990705

What OpenQuestion holds

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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.