Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 389

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

The association between PM2.5 exposure and neurological disorders: A systematic review and meta-analysis

Fu, Pengfei, Guo, Xinbiao, Cheung, Felix Man Ho, Yung, Ken Kin Lam·2019·Science of The Total Environment

Abstract

BACKGROUND Recent systematic review and meta-analyses have tried to identify an association between PM2.5 exposure and stroke, but few could find a conclusive and comprehensive evidence. Moreover, the associations between PM2.5, neurodegenerative diseases and neurodevelopmental disorders have never been reviewed. We aimed to assess the effects of PM2.5 exposure on stroke, dementia, Alzheimer's disease, autism spectrum disorder (ASD), Parkinson's disease, and mild cognitive impairment (MCI). METHODS We searched PubMed and CNKI databases for articles published until June 2018. Studies were eligible for analysis if they were human studies and provided risk estimates with 95% CI. We screened 1645 articles and identified 80 eligible studies covering 26 countries across all continents except Antarctica. Risks of incidence and mortality were extracted and stratified by types of neurological disorders, PM2.5 concentration and duration of PM2.5 exposure. RESULTS We found significant association between PM2.5 exposure and stroke, dementia, Alzheimer's disease, ASD, Parkinson's disease. The risks of ischemic and hemorrhagic stroke were higher than that of stroke in general, and that hemorrhagic stroke had by far the highest mortality. The risk of stroke for heavily polluted countries was significantly higher than that of lightly polluted countries. Short- and long-term PM2.5 exposure was associated with increased risks of stroke (short-term odds ratio 1.01 [per 10 μg/m3 increase in PM2.5 concentrations], 95% CI 1.01-1.02; long-term 1.14, 95% CI 1.08-1.21) and mortality (short-term 1.02, 95% CI 1.01-1.04; long-term 1.15, 95% CI 1.07-1.24) of stroke. Long-term PM2.5 exposure was associated with increased risks of dementia (1.16, 95% CI 1.07-1.26), Alzheimer's disease (3.26, 95% 0.84-12.74), ASD (1.68, 95% CI 1.20-2.34), and Parkinson's disease (1.34, 95% CI 1.04-1.73). CONCLUSIONS There is a strong association between PM2.5 exposure and neurological disorders. National governments should exert greater efforts to improve air quality given its health implications.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.scitotenv.2018.11.218

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 33 references

Cited by

See all 389

Metadata

Authors
Fu, P., Guo, X., Cheung, F. M. H., & Yung, K. K. L.
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2019-03
Volume
655
Pages
1240-1248
ISSN
0048-9697 (ISSN-L)
OpenAlex
W2901206819
Cited by
389
References
33
FWCI
4.38
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The association between PM2.5 exposure and neurological disorders: A systematic review and meta-analysis. https://app.cochat.ai/papers/10.1016/j.scitotenv.2018.11.218
The paper
Fu, P., Guo, X., Cheung, F. M. H., & Yung, K. K. L. (2019). The association between PM2.5 exposure and neurological disorders: A systematic review and meta-analysis. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2018.11.218

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.