Literature DB >> 34252430

Maternal air pollution exposure increases the risk of preterm birth: Evidence from the meta-analysis of cohort studies.

Liangliang Ju1, Changlian Li2, Mei Yang3, Shu Sun4, Qi Zhang5, Jiyu Cao6, Rui Ding7.   

Abstract

Preterm birth (PTB), a major public health impact, has been shown to be associated with prenatal air pollution exposure, but the results are still inconsistent. This meta-analysis was performed to quantitatively evaluate the correlation between maternal air pollutant exposure and PTB, and provide evidence of higher grade to help improving the pregnancy outcomes. Databases including Web of Science and PubMed were searched to retrieve eligible studies published up to October 2020. The quality of the articles was assessed by the Newcastle-Ottawa Quality Score (NOS), after which the pooled estimate of the effect was calculated. The robustness of the joint estimates was confirmed by sensitivity analysis of excluded studies one by one, and the sources of heterogeneity were discussed by stratification analysis. Egger's and Begg's tests were performed to examine publication bias. Sixty studies that met the eligible criteria were finally included in this study. The findings showed combined relative risks of 1.032-1.070 for PTB, 0.859-1.081 for moderate PTB, 1.119-1.194 for very PTB and 1.128-1.259 for extremely PTB when mothers were exposed to PM2.5, PM10, NO2, O3, SO2, CO and NOx during pregnancy, while the sensitive windows varied for different air pollutants. Notably, PM2.5 exposure in only the 2nd trimester, NO2 exposure in only the 3rd trimester, and O3 exposure in all three trimesters were positively associated with PTB, while NO2 exposure in the 1st trimester was negatively associated with PTB. In addition, exposure of PM2.5 and PM10 in the 2nd trimester was positively associated with moderate PTB, and in the 1st and 2nd trimesters were positively associated with very PTB. These findings demonstrated that PM2.5, PM10, O3, NO2 were associated with PTB (including moderate PTB, very PTB, and/or extremely PTB), while NOx was not, and the relationship between CO and SO2 and PTB was not stable.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Air pollution; Cohort study; Meta-analysis; Preterm birth

Mesh:

Substances:

Year:  2021        PMID: 34252430     DOI: 10.1016/j.envres.2021.111654

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  3 in total

1.  The amniotic fluid proteome predicts imminent preterm delivery in asymptomatic women with a short cervix.

Authors:  Dereje W Gudicha; Roberto Romero; Nardhy Gomez-Lopez; Jose Galaz; Gaurav Bhatti; Bogdan Done; Eunjung Jung; Dahiana M Gallo; Mariachiara Bosco; Manaphat Suksai; Ramiro Diaz-Primera; Piya Chaemsaithong; Francesca Gotsch; Stanley M Berry; Tinnakorn Chaiworapongsa; Adi L Tarca
Journal:  Sci Rep       Date:  2022-07-11       Impact factor: 4.996

2.  A Simple Method to Establish Sufficiency and Stability in Meta-Analyses: With Application to Fine Particulate Matter Air Pollution and Preterm Birth.

Authors:  Gavin Pereira
Journal:  Int J Environ Res Public Health       Date:  2022-02-11       Impact factor: 3.390

3.  Machine learning-based risk factor analysis of adverse birth outcomes in very low birth weight infants.

Authors:  Hannah Cho; Eun Hee Lee; Kwang-Sig Lee; Ju Sun Heo
Journal:  Sci Rep       Date:  2022-10-01       Impact factor: 4.996

  3 in total

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