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Cited by 434

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Fine particulate air pollution and human mortality: 25+ years of cohort studies

Open access
Pope, C. Arden, Coleman, Nathan, Pond, Zachari A., Burnett, Richard T.·2020·Environmental Research

Abstract

) contributes to increased risk of mortality comes from survival studies of cohorts of individuals. Although the first two of these studies, published in the mid-1990s, were highly controversial, much has changed in the last 25 + years. The objectives of this paper are to succinctly compile and summarize the findings of these cohort studies using meta-analytic tools and to address several of the key controversies. Independent reanalysis and substantial extended analysis of the original cohort studies have been conducted and many additional studies using a wide variety of cohorts, including cohorts constructed from public data and leveraging natural experiments have been published. Meta-analytic estimates of the mean of the distribution of effects from cohort studies that are currently available, provide substantial evidence of adverse air pollution associations with all-cause, cardiopulmonary, and lung cancer mortality.

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Metadata

Authors
Pope, C. A., Coleman, N., Pond, Z. A., & Burnett, R. T.
Venue
Environmental Research
Publisher
Elsevier BV
Published
2020-04
Volume
183
Pages
108924
ISSN
0013-9351 (ISSN-L)
OpenAlex
W2983857761
Cited by
434
References
11
FWCI
20.02
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Fine particulate air pollution and human mortality: 25+ years of cohort studies. https://app.cochat.ai/papers/10.1016/j.envres.2019.108924
The paper
Pope, C. A., Coleman, N., Pond, Z. A., & Burnett, R. T. (2020). Fine particulate air pollution and human mortality: 25+ years of cohort studies. Environmental Research. https://doi.org/10.1016/j.envres.2019.108924

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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.