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Association between PM2.5 and risk of hospitalization for myocardial infarction: a systematic review and a meta-analysis

Overview of attention for article published in BMC Public Health, March 2020
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Title
Association between PM2.5 and risk of hospitalization for myocardial infarction: a systematic review and a meta-analysis
Published in
BMC Public Health, March 2020
DOI 10.1186/s12889-020-8262-3
Pubmed ID
Authors

Zeynab Farhadi, Hasan Abulghasem Gorgi, Hosein Shabaninejad, Mouloud Aghajani Delavar, Sogand Torani

Abstract

It is generally assumed that there have been mixed results in the literature regarding the association between ambient particulate matter (PM) and myocardial infarction (MI). The aim of this meta-analysis was to explore the rate of short-term exposure PM with aerodynamic diameters ≤2.5 μm (PM2.5) and examine its potential effect(s) on the risk of MI. A systematic search was conducted on databases like PubMed, Scopus, Web of Science, and Embase with components: "air pollution" and "myocardial infarction". The summary relative risk (RR) and 95% confidence intervals (95%CI) were also calculated to assess the association between the PM2.5 and MI. Twenty-six published studies were ultimately identified as eligible candidates for the meta-analysis of MI until Jun 1, 2018. The results illustrated that a 10-μg/m 3 increase in PM2.5 was associated with the risk of MI (RR = 1.02; 95% CI 1.01-1.03; P ≤ 0.0001). The heterogeneity of the studies was assessed through a random-effects model with p < 0.0001 and the I2 was 69.52%, indicating a moderate degree of heterogeneity. We also conducted subgroup analyses including study quality, study design, and study period. Accordingly, it was found that subgroups time series study design and high study period could substantially decrease heterogeneity (I2 = 41.61, 41.78). This meta-analysis indicated that exposure - response between PM2.5 and MI. It is vital decision makers implement effective strategies to help improve air pollution, especially in developing countries or prevent exposure to PM2.5 to protect human health.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 16%
Student > Ph. D. Student 9 15%
Student > Postgraduate 8 13%
Student > Bachelor 6 10%
Student > Master 5 8%
Other 5 8%
Unknown 18 30%
Readers by discipline Count As %
Environmental Science 11 18%
Medicine and Dentistry 11 18%
Nursing and Health Professions 5 8%
Engineering 4 7%
Earth and Planetary Sciences 2 3%
Other 7 11%
Unknown 21 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 March 2023.
All research outputs
#20,897,310
of 23,524,722 outputs
Outputs from BMC Public Health
#14,257
of 15,257 outputs
Outputs of similar age
#311,727
of 365,696 outputs
Outputs of similar age from BMC Public Health
#307
of 337 outputs
Altmetric has tracked 23,524,722 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 337 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.