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Cited by 281

The DOI matches its Crossref record; 234 of the 234 references it cites were found in a registry or an index.

Air pollution and cardiovascular disease: car sick

Open access
Miller, Mark R, Newby, David E·2019·Cardiovascular Research

Abstract

The cardiovascular effects of inhaled particle matter (PM) are responsible for a substantial morbidity and mortality attributed to air pollution. Ultrafine particles, like those in diesel exhaust emissions, are a major source of nanoparticles in urban environments, and it is these particles that have the capacity to induce the most significant health effects. Research has shown that diesel exhaust exposure can have many detrimental effects on the cardiovascular system both acutely and chronically. This review provides an overview of the cardiovascular effects on PM in air pollution, with an emphasis on ultrafine particles in vehicle exhaust. We consider the biological mechanisms underlying these cardiovascular effects of PM and postulate that cardiovascular dysfunction may be implicated in the effects of PM in other organ systems. The employment of multiple strategies to tackle air pollution, and especially ultrafine particles from vehicles, is likely to be accompanied by improvements in cardiovascular health.

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Crossref · 10.1093/cvr/cvz228

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Metadata

Authors
Miller, M. R., & Newby, D. E.
Venue
Cardiovascular Research
Published
2019-10-04
Volume
116
Issue
2
Pages
279-294
ISSN
  • 0008-6363 (ISSN-L)
  • 1755-3245
OpenAlex
W2977957754
Cited by
281
References
234
FWCI
10.90
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Air pollution and cardiovascular disease: car sick. https://app.cochat.ai/papers/10.1093/cvr/cvz228
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Miller, M. R., & Newby, D. E. (2019). Air pollution and cardiovascular disease: car sick. Cardiovascular Research. https://doi.org/10.1093/cvr/cvz228

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.