Evidence map›Paper›PMID 41851714›Full record

ArticleBMC public health2026

Windows of susceptibility to fine particulate matter components for fetal birth weight: a birth cohort study.

Xingxu Yi, Shasha Song, Yi Zhou, Zhiqian Cui, Yuchen Xie, Rubing Pan, Jian Song, Weizhuo Yi, Jintao Liu, Keyu Wu and 7 more

Abstract read
In one paragraph

Article in BMC public health, 2026. 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
–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

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

17 authors.

Xingxu Yi *The Third People's Hospital of Hefei, Hefei, Anhui, China.
Shasha Song *Department of Gastroenterology, the Second Hospital of Anhui Medical University, Hefei, Anhui, China.
Yi Zhou *Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Zhiqian CuiDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Yuchen XieDepartment of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Rubing PanDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Jian SongDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Weizhuo YiDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Jintao LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Keyu WuDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Ming LiDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Yuxin HuangDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Zichen ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Lingmei KuangDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Jian ChengDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Chaoxue Zhang *Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China. zcxay@163.com.
Hong Su *Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China. suhong5151@ahmu.edu.cn.

Funding

Center for Big Data and Population Health of IHM JKS2022011National Natural Science Foundation of China 42375184
6 · The paper itself

Abstract

backgroundThe effects of prenatal exposure to fine particulate matter (PM2.5) on fetal birth weight (FBW) results have been inconsistent, and the crucial components of PM2.5 may be responsible for these harmful effects. We aimed to explore the effects of prenatal exposure to PM2.5 components on FBW and determine the pregnancy susceptible exposure windows for PM2.5 components.

methodsWe analyzed data from a birth cohort of 10,164 mother-infant pairs in Hefei, China. The study included singleton live births delivered between 2017 and 2021, with complete exposure and covariate data. We assessed pregnancy exposure to PM2.5 and its components (NH4+: ammonium; NO3−: nitrate; SO42−: sulfate; OM: organic matter; BC: black carbon) with spatial datasets matched to participants’ residential addresses, and assessed green space using the Normalized Difference Vegetation Index (NDVI). Generalized linear regression assessed the crucial components of PM2.5 affecting FBW Z-scores, and to further explore the susceptibility windows. Stratified analyses were conducted to explore potential moderating effects of green space.

resultsOur study found that pregnancy exposure to PM2.5 and its components was associated with reduced FBW Z-scores, with black carbon (BC) having a stronger negative effect. Each 1 µg/m3 increase in BC was associated with an expected FBW Z-score decrease of β&95%CI: -0.1176 (-0.1791, -0.0560). The most crucial periods for the effect of PM2.5 components on FBW Z-scores were the second and third trimesters. Finally, we observed that higher levels of green space exposure showed a protective effect on FBW Z-scores.

conclusionsOur research highlights that certain PM2.5 components like BC impact FBW negatively, particularly in the second and third trimesters, and that green space can mitigate this negative effect. This study provides scientific evidence for PM2.5 emission source control and maternal and child health protection.

Indexed as

Air PollutantsBirth WeightMaternal ExposureParticulate MatterAdultBirth CohortChinaFemaleHumansInfant, NewbornPregnancyAir PollutantsParticulate MatterGreen spacesInterventionNewbornPollutionPregnancySusceptibility

Identifiers

PMID41851714
PMCPMC13195831

What OpenQuestion holds

Textmetadata
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.