Association between ambient air pollution and pregnancy complications: A systematic review and meta-analysis of cohort studies

2020 ◽  
Vol 185 ◽  
pp. 109471 ◽  
Author(s):  
Wei Bai ◽  
Yuanyuan Li ◽  
Yaling Niu ◽  
Ye Ding ◽  
Xiao Yu ◽  
...  
2020 ◽  
Author(s):  
Wenning Fu ◽  
Li Zou ◽  
Hongbin Xu ◽  
Xiantao Zeng ◽  
Shijiao Yan ◽  
...  

Abstract Background and Objective: An increasing amount of epidemiological original studies suggested that long-term exposure to particulate matter (PM 2.5 and PM 10 ) could be associated with the risk of myocardial infarction(MI), but the results were inconsistent. We aimed to synthesized available cohort studies to identify the association between ambient air pollution (PM 2.5 and PM 10 ) and MI risk by a meta-analysis. Methods: PubMed and Embase were searched through September 2019 to identify studies that met predetermined inclusion criterion. Reference lists from retrieved articles were also reviewed. A random-effects model was used to calculate the pooled relative risk ( RR ) and 95% confidence intervals ( CI ). Results: Twenty-two cohort studies involving 6,567,314 participants and 865,98 patients with MI were included in this systematic review. The pooled results showed that higher levels of ambient air pollution (PM 2.5 and PM 10 ) exposure were significantly associated with the risk of MI. The pooled relative ratio ( RR) for each 10-μg/m 3 increment in PM 2.5 and PM 10 were 1.20 (95% CI : 1.11–1.29), and1.03 (95% CI :1.00-1.07) respectively. Exclusion of any single study did not materially alter the combined risk estimate. Conclusions: Integrated evidence from cohort studies supports the hypothesis that long-term exposure to PM 2.5 and PM 10 as a risk factor for MI.


2021 ◽  
Vol 8 ◽  
Author(s):  
Li Zou ◽  
Qiao Zong ◽  
Wenning Fu ◽  
Zeyu Zhang ◽  
Hongbin Xu ◽  
...  

Background and Objective: An increasing number of epidemiological original studies suggested that long-term exposure to particulate matter (PM2.5 and PM10) could be associated with the risk of myocardial infarction (MI), but the results were inconsistent. We aimed to synthesized available cohort studies to identify the association between ambient air pollution (PM2.5 and PM10) and MI risk by a meta-analysis.Methods: PubMed and Embase were searched through September 2019 to identify studies that met predetermined inclusion criteria. Reference lists from retrieved articles were also reviewed. A random-effects model was used to calculate the pooled relative risk (RR) and 95% confidence intervals (CI).Results: Twenty-seven cohort studies involving 6,764,987 participants and 94,540 patients with MI were included in this systematic review. The pooled results showed that higher levels of ambient air pollution (PM2.5 and PM10) exposure were significantly associated with the risk of MI. The pooled relative risk (RR) for each 10-μg/m3 increment in PM2.5 and PM10 were 1.18 (95% CI: 1.11–1.26), and 1.03 (95% CI: 1.00–1.05), respectively. Exclusion of any single study did not materially alter the combined risk estimate.Conclusions: Integrated evidence from cohort studies supports the hypothesis that long-term exposure to PM2.5 and PM10 is a risk factor for MI.


2018 ◽  
Vol 235 ◽  
pp. 576-588 ◽  
Author(s):  
Bo-Yi Yang ◽  
Zhengmin Qian ◽  
Steven W. Howard ◽  
Michael G. Vaughn ◽  
Shu-Jun Fan ◽  
...  

2020 ◽  
Vol 265 ◽  
pp. 114999 ◽  
Author(s):  
Sihan Huang ◽  
Xinyu Zhang ◽  
Jianfeng Huang ◽  
Xiangfeng Lu ◽  
Fangchao Liu ◽  
...  

Author(s):  
Sylvester Dodzi Nyadanu ◽  
Gizachew Assefa Tessema ◽  
Ben Mullins ◽  
Bernard Kumi-Boateng ◽  
Michelle Lee Bell ◽  
...  

Prenatal exposure to ambient air pollution and extreme temperatures are among the major risk factors of adverse birth outcomes and with potential long-term effects during the life course. Although low- and middle-income countries (LMICs) are most vulnerable, there is limited synthesis of evidence in such settings. This document describes a protocol for both an umbrella review (Systematic Review 1) and a focused systematic review and meta-analysis of studies from LMICs (Systematic Review 2). We will search from start date of each database to present, six major academic databases (PubMed, CINAHL, Scopus, MEDLINE/Ovid, EMBASE/Ovid and Web of Science Core Collection), systematic reviews repositories and references of eligible studies. Additional searches in grey literature will also be conducted. Eligibility criteria include studies of pregnant women exposed to ambient air pollutants and/or extreme temperatures during pregnancy with and without adverse birth outcomes. The umbrella review (Systematic Review 1) will include only previous systematic reviews while Systematic Review 2 will include quantitative observational studies in LMICs. Searches will be restricted to English language using comprehensive search terms to consecutively screen the titles, abstracts and full-texts to select eligible studies. Two independent authors will conduct the study screening and selection, risk of bias assessment and data extraction using JBI SUMARI web-based software. Narrative and semi-quantitative syntheses will be employed for the Systematic Review 1. For Systematic Review 2, we will perform meta-analysis with two alternative meta-analytical methods (quality effect and inverse variance heterogeneity) as well as the classic random effect model. If meta-analysis is infeasible, narrative synthesis will be presented. Confidence in cumulative evidence and the strength of the evidence will be assessed. This protocol is registered with PROSPERO (CRD42020200387).


2011 ◽  
Vol 119 (5) ◽  
pp. 598-606 ◽  
Author(s):  
Martine Vrijheid ◽  
David Martinez ◽  
Sandra Manzanares ◽  
Payam Dadvand ◽  
Anna Schembari ◽  
...  

2014 ◽  
Vol 2014 (1) ◽  
pp. 1515
Author(s):  
Ikenna Eze* ◽  
Lars Hemkens ◽  
Heiner Bucher ◽  
Barbara Hoffmann ◽  
Christian Schindler ◽  
...  

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