Evidence map›Paper›PMID 40301817›Full record

ArticleBMC pregnancy and childbirth2025

Association of maternal multi-metal exposure and dyslipidemia: a study of air pollution on pregnancy outcomes.

Yoon-Young Go, Young Min Hur, Young-Ah You, Sunwha Park, Gain Lee, Rin Chae, Soo-Min Kim, Young Ju Kim

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. An Exploration of Machine Learning Methods in Human Biomonitoring.International journal of environmental research and public health · 2026
    Review
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.

Yoon-Young GoDepartment of Obstetrics and Gynecology, College of Medicine and Ewha Medical Institute, Ewha Womans University, 1071, Anyangcheon-Ro, Yangcheon-Gu, Seoul, 07985, Republic of Korea.
Young Min HurDepartment of Obstetrics and Gynecology, College of Medicine and Ewha Medical Institute, Ewha Womans University, 1071, Anyangcheon-Ro, Yangcheon-Gu, Seoul, 07985, Republic of Korea.
Young-Ah YouDepartment of Obstetrics and Gynecology, College of Medicine and Ewha Medical Institute, Ewha Womans University, 1071, Anyangcheon-Ro, Yangcheon-Gu, Seoul, 07985, Republic of Korea.
Sunwha ParkDepartment of Obstetrics and Gynecology, College of Medicine and Ewha Medical Institute, Ewha Womans University, 1071, Anyangcheon-Ro, Yangcheon-Gu, Seoul, 07985, Republic of Korea.
Gain LeeDepartment of Obstetrics and Gynecology, College of Medicine and Ewha Medical Institute, Ewha Womans University, 1071, Anyangcheon-Ro, Yangcheon-Gu, Seoul, 07985, Republic of Korea.
Rin ChaeDepartment of Obstetrics and Gynecology, College of Medicine and Ewha Medical Institute, Ewha Womans University, 1071, Anyangcheon-Ro, Yangcheon-Gu, Seoul, 07985, Republic of Korea.
Soo-Min KimDepartment of Obstetrics and Gynecology, College of Medicine and Ewha Medical Institute, Ewha Womans University, 1071, Anyangcheon-Ro, Yangcheon-Gu, Seoul, 07985, Republic of Korea.
Young Ju KimDepartment of Obstetrics and Gynecology, College of Medicine and Ewha Medical Institute, Ewha Womans University, 1071, Anyangcheon-Ro, Yangcheon-Gu, Seoul, 07985, Republic of Korea. kkyj@ewha.ac.kr.

Funding

BK21 FOUR (Fostering Outstanding Universities for Research) funded by the Ministry of Education (MOE, Korea) and National Research Foundation of Korea NRF-5199990614253Korea Health Technology R&D Project through the Korea Health Industry Development Institute, Ministry of Health & Welfare RS-2023-00266554
6 · The paper itself

Abstract

backgroundExposure to air pollutants, including heavy metals, is a major environmental concern of public health and these environmental toxicants have been associated with pregnancy complications.

objectivesAn air pollution on pregnancy outcome (APPO) study was performed to investigate the adverse effects of fine particulate matter (PM

methodsThe concentrations of 16 metals were measured in 60 urine samples collected during the second trimester pregnancy. Logistic regression and Bayesian kernel machine regression (BKMR) models were used to analyze the single and overall effects of metal exposure on pregnancy complications, respectively.

resultsLogistic regression analysis showed a significant difference in urinary Ni and Zn concentrations between those exposed to high and low concentrations of fine particulate matter with an aerodynamic diameter of less than 2.5 µm (PM

conclusionsBKMR analyses showed a positive association between exposure to multi-metal mixtures and higher maternal TC and TG levels, a factor that contributes to PTB. Therefore, this also suggests that multi-metal exposure during pregnancy may be a potential risk factor for PTB.

Indexed as

Air PollutantsAir PollutionDyslipidemiasMaternal ExposureMetals, HeavyParticulate MatterPregnancy ComplicationsPremature BirthAdultBayes TheoremFemaleHumansLogistic ModelsPregnancyPregnancy OutcomePregnancy Trimester, SecondAir PollutantsMetals, HeavyParticulate MatterHeavy metalsOverall effectPregnancy outcomesTotal cholesterolTriglyceride

Identifiers

PMID40301817
PMCPMC12039002

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.