Literature DB >> 22167746

Time-to-event analysis of fine particle air pollution and preterm birth: results from North Carolina, 2001-2005.

Howard H Chang1, Brian J Reich, Marie Lynn Miranda.   

Abstract

Exposure to air pollution during pregnancy has been suggested to be a risk factor for preterm birth; however, epidemiologic evidence remains mixed and limited. The authors examined the association between ambient levels of particulate matter <2.5 μm in aerodynamic diameter (PM(2.5)) and the risk of preterm birth in North Carolina during the period 2001-2005. They estimated the risks of cumulative and lagged average exposures to PM(2.5) during pregnancy via a 2-stage discrete-time survival model. The authors also considered exposure metrics derived from 1) ambient concentrations measured by the Air Quality System (AQS) monitoring network and 2) concentrations predicted by statistically fusing AQS data with process-based numerical model output (the Statistically Fused Air and Deposition Surfaces (FSD) database). Using the AQS measurements, an interquartile-range (1.73 μg/m(3)) increase in cumulative PM(2.5) exposure was associated with a 6.8% (95% posterior interval: 0.5, 13.6) increase in the risk of preterm birth. Using the FSD-predicted levels and accounting for prediction error, the authors also found significant adverse associations between trimester 1, trimester 2, and cumulative PM(2.5) exposure and preterm birth. These findings suggest that exposure to ambient PM(2.5) during pregnancy is associated with increased risk of preterm birth, even in a region characterized by relatively good air quality.

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Year:  2011        PMID: 22167746     DOI: 10.1093/aje/kwr403

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  42 in total

1.  Calibrating MODIS aerosol optical depth for predicting daily PM2.5 concentrations via statistical downscaling.

Authors:  Howard H Chang; Xuefei Hu; Yang Liu
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-12-25       Impact factor: 5.563

2.  Particulate air pollution, fetal growth and gestational length: The influence of residential mobility in pregnancy.

Authors:  Gavin Pereira; Michael B Bracken; Michelle L Bell
Journal:  Environ Res       Date:  2016-02-23       Impact factor: 6.498

3.  Assessment of critical exposure and outcome windows in time-to-event analysis with application to air pollution and preterm birth study.

Authors:  Howard H Chang; Joshua L Warren; Lnydsey A Darrow; Brian J Reich; Lance A Waller
Journal:  Biostatistics       Date:  2015-01-07       Impact factor: 5.899

4.  A Bayesian ensemble approach to combine PM2.5 estimates from statistical models using satellite imagery and numerical model simulation.

Authors:  Nancy L Murray; Heather A Holmes; Yang Liu; Howard H Chang
Journal:  Environ Res       Date:  2019-07-25       Impact factor: 6.498

5.  Traffic-related Air Pollution and Pregnancy Loss.

Authors:  Marianthi-Anna Kioumourtzoglou; Raanan Raz; Ander Wilson; Ronen Fluss; Ronit Nirel; David M Broday; Michele R Hacker; Thomas F McElrath; Itamar Grotto; Petros Koutrakis; Marc G Weisskopf
Journal:  Epidemiology       Date:  2019-01       Impact factor: 4.822

6.  Maternal exposure to fine particulate matter (PM2.5) and pregnancy outcomes: a meta-analysis.

Authors:  Xiaoxia Zhu; Ying Liu; Yanyan Chen; Cijiang Yao; Zhen Che; Jiyu Cao
Journal:  Environ Sci Pollut Res Int       Date:  2014-08-28       Impact factor: 4.223

7.  Fine-scale spatiotemporal air pollution analysis using mobile monitors on Google Street View vehicles.

Authors:  Yawen Guan; Margaret C Johnson; Matthias Katzfuss; Elizabeth Mannshardt; Kyle P Messier; Brian J Reich; Joon Jin Song
Journal:  J Am Stat Assoc       Date:  2019-10-09       Impact factor: 5.033

Review 8.  Current Methods and Challenges for Epidemiological Studies of the Associations Between Chemical Constituents of Particulate Matter and Health.

Authors:  Jenna R Krall; Howard H Chang; Stefanie Ebelt Sarnat; Roger D Peng; Lance A Waller
Journal:  Curr Environ Health Rep       Date:  2015-12

9.  A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration.

Authors:  Veronica J Berrocal; Yawen Guan; Amanda Muyskens; Haoyu Wang; Brian J Reich; James A Mulholland; Howard H Chang
Journal:  Atmos Environ (1994)       Date:  2019-11-14       Impact factor: 4.798

10.  A spectral method for spatial downscaling.

Authors:  Brian J Reich; Howard H Chang; Kristen M Foley
Journal:  Biometrics       Date:  2014-06-25       Impact factor: 2.571

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