Evidence map›Paper›PMID 40435315›Full record

ArticlePloS one2025

Effects of chemical exposures and diet on birth outcomes in a New York City pregnancy cohort: Mediation through favorable fetal growth conditions.

Eunsil Seok, Akhgar Ghassabian, Yuyan Wang, Yelena Afanasyeva, Shilpi S Mehta-Lee, Kurunthachalam Kannan, Leonardo Trasande, Mengling Liu

Abstract read
In one paragraph

Article in PloS one, 2025. 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
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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

8 authors.

Eunsil SeokDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, United States of America.ORCID https://orcid.org/0000-0002-1999-563X
Akhgar GhassabianDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, United States of America.ORCID https://orcid.org/0000-0001-9551-4706
Yuyan WangDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, United States of America.
Yelena AfanasyevaDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, United States of America.
Shilpi S Mehta-LeeDepartment of Obstetrics and Gynecology, New York University Grossman School of Medicine, New York, New York, United States of America.
Kurunthachalam KannanWadsworth Center, New York State Department of Health, Albany, New York, United States of America.
Leonardo TrasandeDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, United States of America.
Mengling LiuDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, United States of America.ORCID https://orcid.org/0000-0001-9758-8522

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFetal growth is shaped by a complex interplay of parental traits, environmental exposures, nutritional intake, and genetic predispositions. In epidemiological research, birth weight is widely used as a proxy of impaired or favorable fetal growth; but it fails to provide a comprehensive measure, particularly if used alone.

methodsIn a cohort of 538 mother-fetal pairs from the New York University Children's Health and Environment Study (NYU CHES), we utilized multiple linear regression and structural equation modeling (SEM) to assess the influence of various determinants-maternal characteristics, chemical exposures, and dietary factors-on fetal growth. To comprehensively evaluate fetal growth, we employed the concept of latent variable Favorable Fetal Growth Conditions (FFGC), together with three observed outcomes: birth weight, birth length, and gestational age.

resultsMaternal characteristics such as height, BMI, race/ethnicity, and maternal alcohol intake were significantly associated with birth weight, birth length, and gestational age in both the linear regression and with FFGC in the SEM. However, SEM additionally revealed significant relationships that were not detected by linear regression. Specifically, di(2-ethylhexyl) phthalate (DEHP) latent factor showed a negative association with the FFGC (β=-0.16, 95% confidence interval (CI)=-0.27, -0.04). The diet latent variable positively impacted FFGC (β=0.15, 95% CI=0.04, 0.25), whereas total calorie intake exhibited a negative effect (β=-0.13, 95% CI=-0.22, -0.05).

conclusionThe SEM provided a thorough understanding of the multifaceted pathways through which multiple factors of chemical mixtures, diet intakes, and maternal characteristics affected fetal development, uncovering nuanced associations that were not apparent in direct effects models. Our findings highlight the intricate interplay of maternal characteristics, chemical exposures, and dietary factors in shaping fetal growth.

Indexed as

DietFetal DevelopmentMaternal ExposureAdultBirth WeightCohort StudiesFemaleGestational AgeHumansInfant, NewbornLinear ModelsMaleNew York CityPregnancyPregnancy Outcome

Identifiers

PMID40435315
PMCPMC12118982

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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.