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Short-term effects of atmospheric particulate matter on myocardial infarction: a cumulative meta-analysis

Lookup NU author(s): Professor Zhenhong Li

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Abstract

Atmospheric particulate matter (PM) is hypothesized to increase the risk of myocardial infarction (MI). However, the epidemiological evidence is inconsistent. We identified 33 studies with more than 4 million MI patients and applied meta-analysis and meta-regression to assess the available evidence. Twenty-five studies presented the effects of the PM level on hospitalization for MI patients, while eight studies showed the effects on mortality. An increase in PM10 was associated with hospitalization and mortality in myocardial infarction patients (RR per 10 μg/m3 = 1.011, 95 % CI 1.006–1.016; RR per 10 μg/m3 = 1.008, 95 % CI 1.004–1.012, respectively); PM2.5 also increased the risk of hospitalization and mortality in MI patients (RR per 10 μg/m3 = 1.024, 95 % CI 1.007–1.041 for hospitalization and RR per 10 μg/m3 = 1.012, 95 % CI 1.010–1.015 for mortality). The results of the cumulative meta-analysis indicated that PM10 and PM2.5 were associated with myocardial infarctionwith the addition of new studies each year. In conclusion, short-term exposure to high PM10 and PM2.5 levels revealed to increase risk of hospitalization and mortality for myocardial infarction. Policy support of pollution control and individual protection was strongly recommended.


Publication metadata

Author(s): Cai X, Li Z, Scott EM, Li X, Tang M

Publication type: Article

Publication status: Published

Journal: Environmental Science and Pollution Research

Year: 2016

Volume: 23

Issue: 7

Pages: 6139-6148

Print publication date: 01/04/2016

Online publication date: 05/02/2016

Acceptance date: 27/01/2016

ISSN (print): 0944-1344

ISSN (electronic): 1614-7499

Publisher: Springer

URL: http://dx.doi.org/10.​1007/​s11356-016-6186-3

DOI: 10.​1007/​s11356-016-6186-3


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Funding

Funder referenceFunder name
Zhejiang University Undergraduate Zetetic Experiment Public Health Project
2014BAI08B00National Twelfth Five-year Science and Technology Support Plan Project in the Field of Population and Health

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