Literature DB >> 30241019

Identifying windows of susceptibility for maternal exposure to ambient air pollution and preterm birth.

Qiong Wang1, Tarik Benmarhnia2, Huanhuan Zhang1, Luke D Knibbs3, Paige Sheridan4, Changchang Li5, Junzhe Bao5, Meng Ren5, Suhan Wang5, Yiling He5, Yawei Zhang6, Qingguo Zhao7, Cunrui Huang8.   

Abstract

Maternal exposure to ambient air pollution has been associated with preterm birth (PTB), however, entire pregnancy or trimester-specific associations were generally reported, which may not sufficiently identify windows of susceptibility. Using birth registry data from Guangzhou, a megacity of southern China (population ~14.5 million), including 469,975 singleton live births between January 2015 and July 2017, we assessed the association between weekly air pollution exposure and PTB in a retrospective cohort study. Daily average concentrations of PM2.5, PM10, NO2, SO2, and O3 from 11 monitoring stations were used to estimate district-specific exposures for each participant based on their district residency during pregnancy. Distributed lag models (DLMs) incorporating Cox proportional hazard models were applied to estimate the association between weekly maternal exposure to air pollutant and PTB risk (as a time-to-event outcome), after controlling for temperature, seasonality, and individual-level covariates. We also considered moderate PTB (32-36 gestational weeks) and very PTB (28-31 gestational weeks) as outcomes of interest. Hazard ratios (HRs) and 95% confidential intervals (95% CIs) were calculated for an interquartile range (IQR) increase in air pollutants during the study period. An IQR increase in PM2.5 exposure during the 20th to 28th gestational weeks (27.0 μg/m3) was significantly associated with PTB risk, with the strongest effect in the 25th week (HR = 1.034, 95% CI:1.010-1.059). The significant exposure windows were the 19th-28th weeks for PM10, the 18th-31st weeks for NO2, and the 23rd-31st weeks for O3, respectively. The strongest associations were observed in the 25th week for PM10 (IQR = 37.0 μg/m3; HR = 1.048, 95% CI:1.034-1.062), the 26th week for NO2 (IQR = 29.0 μg/m3; HR = 1.060, 95% CI:1.028-1.094), and in the 28th week for O3 (IQR = 90.0 μg/m3; HR = 1.063, 95% CI:1.046-1.081). Similar patterns were observed for moderate PTB (32-36 gestational weeks) and very PTB (28-31 gestational weeks) for PM2.5, PM10, NO2 exposure, but the effects were greater for very PTB. We did not observe any association between pregnancy SO2 exposure and the risk of PTB. Our results suggest that middle to late pregnancy is the most susceptible air pollution exposure window for air pollution and PTB among women in Guangzhou, China.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Air pollution; Distributed lag model; Preterm birth; Susceptible exposure window

Mesh:

Substances:

Year:  2018        PMID: 30241019     DOI: 10.1016/j.envint.2018.09.021

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  18 in total

1.  A spatially varying distributed lag model with application to an air pollution and term low birth weight study.

Authors:  Joshua L Warren; Thomas J Luben; Howard H Chang
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2020-03-30       Impact factor: 1.864

2.  Associations between green space and preterm birth: Windows of susceptibility and interaction with air pollution.

Authors:  Yi Sun; Paige Sheridan; Olivier Laurent; Jia Li; David A Sacks; Heidi Fischer; Yang Qiu; Yu Jiang; Ilona S Yim; Luo-Hua Jiang; John Molitor; Jiu-Chiuan Chen; Tarik Benmarhnia; Jean M Lawrence; Jun Wu
Journal:  Environ Int       Date:  2020-06-05       Impact factor: 9.621

3.  Examining the joint effects of heatwaves, air pollution, and green space on the risk of preterm birth in California.

Authors:  Yi Sun; Sindana D Ilango; Lara Schwarz; Qiong Wang; Jiu-Chiuan Chen; Jean M Lawrence; Jun Wu; Tarik Benmarhnia
Journal:  Environ Res Lett       Date:  2020-10-09       Impact factor: 6.793

4.  The Association between Preterm Birth and Ambient Air Pollution Exposure in Shiyan, China, 2015-2017.

Authors:  Qihao Chen; Zhan Ren; Yujie Liu; Yunfei Qiu; Haomin Yang; Yuren Zhou; Xiaodie Wang; Kuizhuang Jiao; Jingling Liao; Lu Ma
Journal:  Int J Environ Res Public Health       Date:  2021-04-19       Impact factor: 3.390

Review 5.  Ozone exposure during early pregnancy and preterm birth: A systematic review and meta-analysis.

Authors:  Kristen M Rappazzo; Jennifer L Nichols; R Byron Rice; Thomas J Luben
Journal:  Environ Res       Date:  2021-05-12       Impact factor: 8.431

6.  Prenatal exposure to polycyclic aromatic hydrocarbons and gestational age at birth.

Authors:  Sophia L Freije; Daniel A Enquobahrie; Drew B Day; Christine Loftus; Adam A Szpiro; Catherine J Karr; Leonardo Trasande; Linda G Kahn; Emily Barrett; Kurunthachalam Kannan; Nicole R Bush; Kaja Z LeWinn; Shanna Swan; W Alex Mason; Morgan Robinson; Sheela Sathyanarayana
Journal:  Environ Int       Date:  2022-04-15       Impact factor: 13.352

7.  Air pollution in the week prior to delivery and preterm birth in 24 Canadian cities: a time to event analysis.

Authors:  David M Stieb; Eric Lavigne; Li Chen; Lauren Pinault; Antonio Gasparrini; Michael Tjepkema
Journal:  Environ Health       Date:  2019-01-03       Impact factor: 5.984

8.  Maternal PM2.5 exposure triggers preterm birth: a cross-sectional study in Wuhan, China.

Authors:  Xiaotong Zhang; Cuifang Fan; Zhan Ren; Huan Feng; Shanshan Zuo; Jiayuan Hao; Jingling Liao; Yuliang Zou; Lu Ma
Journal:  Glob Health Res Policy       Date:  2020-05-01

9.  Independent and Combined Effects of Heatwaves and PM2.5 on Preterm Birth in Guangzhou, China: A Survival Analysis.

Authors:  Qiong Wang; Bing Li; Tarik Benmarhnia; Shakoor Hajat; Meng Ren; Tao Liu; Luke D Knibbs; Huanhuan Zhang; Junzhe Bao; Yawei Zhang; Qingguo Zhao; Cunrui Huang
Journal:  Environ Health Perspect       Date:  2020-01-07       Impact factor: 9.031

10.  Association of Ambient air Pollution with risk of preeclampsia during pregnancy: a retrospective cohort study.

Authors:  Lu Jia; Qing Liu; Huiqing Hou; Guangli Guo; Ting Zhang; Songli Fan; Li Wang
Journal:  BMC Public Health       Date:  2020-11-05       Impact factor: 3.295

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