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Cited by 575

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Respiratory Health and PM 10 Pollution: A Daily Time Series Analysis

Pope, C. Arden, Dockery, Douglas W., Spengler, John D., Raizenne, Mark E.·1991·American Review of Respiratory Disease

Abstract

This study evaluated changes in respiratory health associated with daily changes in fine particulate pollution (PM10). Participants included a relatively healthy school-based sample of fourth and fifth grade elementary students, and a sample of patients with asthma 8 to 72 yr of age. Elevated PM10 pollution levels of 150 micrograms/m3 were associated with an approximately 3 to 6% decline in lung function as measured by peak expiratory flow (PEF). Current day and daily lagged associations between PM10 levels and PEF were observed. Elevated levels of PM10 pollution also were associated with increases in reported symptoms of respiratory disease and use of asthma medication. Associations between compromised respiratory health and elevated PM10 pollution were observed even when PM10 levels were well below the 24-h national ambient air quality standard of 150 micrograms/m3. Associations between elevated PM10 levels, reductions in PEF, and increases in symptoms of respiratory disease and asthma medication use remained statistically significant even when the only pollution episode that exceeded the standard was excluded. Concurrent measurements indicated that little or no strong particle acidity was present.

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Metadata

Authors
Pope, C. A., Dockery, D. W., Spengler, J. D., & Raizenne, M. E.
Venue
American Review of Respiratory Disease
Published
1991-09
Volume
144
Issue
3_pt_1
Pages
668-674
ISSN
0003-0805 (ISSN-L)
OpenAlex
W2016659043
Cited by
575
References
0
FWCI
12.55
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Respiratory Health and PM 10 Pollution: A Daily Time Series Analysis. https://app.cochat.ai/papers/10.1164/ajrccm/144.3_pt_1.668
The paper
Pope, C. A., Dockery, D. W., Spengler, J. D., & Raizenne, M. E. (1991). Respiratory Health and PM 10 Pollution: A Daily Time Series Analysis. American Review of Respiratory Disease. https://doi.org/10.1164/ajrccm/144.3_pt_1.668

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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.