1. The association between fine particulate matter exposure during pregnancy and preterm birth: a meta-analysis
- Author
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Bo Zhang, Chunmei Zhao, Chi Eung Danforn Lim, Tao Liu, Xiping Luo, Rachel Wai Chung Ng, and Xiaoli Sun
- Subjects
Fine particulate matter ,medicine.medical_specialty ,Adverse pregnancy outcome ,Reproductive medicine ,MEDLINE ,Pregnancy ,Air Pollution ,Obstetrics and Gynaecology ,medicine ,Humans ,Prospective Studies ,Prospective cohort study ,Exposure assessment ,Retrospective Studies ,business.industry ,Obstetrics ,Infant, Newborn ,Obstetrics and Gynecology ,Retrospective cohort study ,Preterm birth ,medicine.disease ,Pregnancy Complications ,Meta-analysis ,Premature birth ,Maternal Exposure ,Premature Birth ,Female ,Particulate Matter ,business ,Research Article - Abstract
Background Although several previous studies have assessed the association of fine particulate matter (PM2.5) exposure during pregnancy with preterm birth, the results have been inconsistent and remain controversial. This meta-analysis aims to quantitatively summarize the association between maternal PM2.5 exposure and preterm birth and to further explore the sources of heterogeneity in findings on this association. Methods We searched for all studies published before December 2014 on the association between PM2.5 exposure during pregnancy and preterm birth in the MEDLINE, PUBMED and Embase databases as well as the China Biological Medicine and Wanfang databases. A pooled OR for preterm birth in association with each 10 μg/m3 increase in PM2.5 exposure was calculated by a random-effects model (for studies with significant heterogeneity) or a fixed-effects model (for studies without significant heterogeneity). Results A total of 18 studies were included in this analysis. The pooled OR for PM2.5 exposure (per 10 μg/m3 increment) during the entire pregnancy on preterm birth was 1.13 (95 % CI = 1.03–1.24) in 13 studies with a significant heterogeneity (Q = 80.51, p
- Published
- 2015