Evidence map›Paper›PMID 41676007›Full record

ArticleHygiene and environmental health advances2024

Assessing the multi-dimensional effects of air pollution on maternal complications and birth outcomes: A structural equation modeling approach.

Boubakari Ibrahimou, Ning Sun, Sophie Dabo-Niang

Abstract read
In one paragraph

Article in Hygiene and environmental health advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

3 authors.

Boubakari IbrahimouDepartment of Biostatistics, Florida International University, Miami, FL, 33199, USA.
Ning SunDepartment of Biostatistics, Florida International University, Miami, FL, 33199, USA.
Sophie Dabo-NiangCNRS - Université de Montréal, CRM - CNRS, Montréal, Québec, Canada.

Funding

Particulate Matter (PM) Metals and Racial Disparity in Cardiovascular (CVD) Risk FactorsK01HL146944 · NHLBI · FLORIDA INTERNATIONAL UNIVERSITY · PI IBRAHIMOU, BOUBAKARI · 2020 to 2024
$878k
NHLBI NIH HHS K01 HL146944
6 · The paper itself

Abstract

Objective: This cross-sectional study aims to investigate the direct and indirect relationships between exposure to a metal mixture in air and adverse pregnancy outcomes across gestational stages. Methods: With 46,829 births in 2021 in two Florida counties and Air Quality System data, structural equation modeling was used to construct latent metal mixtures in PM Results: A latent variable featuring seven metals (Aluminum, Calcium, Iron, Magnesium, Manganese, Silicon, Vanadium) was identified through the measurement model. The latent metal mixture exposure had direct effects on gestational diabetes and preterm birth (1st trimester, 2nd trimester), low birth weight (1st trimester), and preeclampsia (2nd trimester). When considering total effects, the effects on low birth weight in the 1st trimester and on preeclampsia in 2nd trimester were masked, and the latent metal mixture increased the low-birth-weight risk in 2nd trimester by 2 % (OR = 1.02, 95 % CI = [1.00, 1.03]). Conclusion: This study reveals time-dependent associations between a metal mixture in PM

Indexed as

Air pollutionBirth outcomesMaternal complicationMetal mixtureStructural equation modeling

Identifiers

PMID41676007
PMCPMC12890219

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LicenceCC BY-NC-ND
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Registered trials

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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.