Evidence map›Paper›PMID 38532124›Full record

ArticleJournal of exposure science & environmental epidemiology2025

The joint effects of prenatal exposure to PM

Shuang Zhou, Tiantian Li, Na Han, Kai Zhang, Gongbo Chen, Yi Zhang, Qin Li, Yuelong Ji, Jue Liu, Hui Wang and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 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
0.6field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

15 authors at 8 institutions in 4 countries.

Shuang ZhouDepartment of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, 100191, Beijing, China.ORCID http://orcid.org/0000-0003-0387-5489
Tiantian LiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 100021, Beijing, China.
Na HanTongzhou Maternal and Child Health Care Hospital of Beijing, 101101, Beijing, China.
Kai ZhangDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Rensselaer, NY, 12144, USA.
Gongbo ChenGuangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Yi ZhangChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 100021, Beijing, China.
Qin LiDepartment of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, 100191, Beijing, China.
Yuelong JiDepartment of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, 100191, Beijing, China.
Jue LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, 100191, Beijing, China.
Hui WangDepartment of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, 100191, Beijing, China.
Jianlin HuJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Ting LiuJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Hein RaatDepartment of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands.
Yuming GuoDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Haijun WangDepartment of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, 100191, Beijing, China. whjun@pku.edu.cn.
Peking University · CNChinese Center For Disease Control and Prevention · CNNanjing University of Information Science and Technology · CNChongqing Maternal and Child Health Hospital · CNErasmus MC · NLMonash University · AUSun Yat-sen University · CNUniversity at Albany, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrenatal fine particulate matter (PM

objectiveThe study investigated whether the joint effects are present between PM

methodsThe study was embedded in a birth cohort in China, including 5424 mother-child pairs. Prenatal PM

resultsChildren with lower fetal growth trajectory, PTB, LBW, and SGA had increased odds of children's accelerated growth, with odds ratios (ORs) ranging from 1.704 to 11.605. Compared with lower exposure (≤median), higher exposure (>median) of PM IMPACT: Fine particulate matter (PM

Indexed as

Air PollutantsChild DevelopmentFetal DevelopmentMaternal ExposureParticulate MatterPrenatal Exposure Delayed EffectsAdultBirth CohortChild, PreschoolChinaCohort StudiesFemaleHumansInfantInfant, Low Birth WeightInfant, NewbornAir PollutantsNitratesParticulate MatterAccelerated childhood growthConstituentsFetal growthParticulate matters

Identifiers

PMID38532124
OpenAlexW4393202419

What OpenQuestion holds

Textmetadata
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.