Spatial-temporal modeling of the association between air pollution exposure and preterm birth: Identifying critical windows of exposure

Warren, J; Fuentes, M; Herring, A; Langlois, P

HERO ID

1668664

Reference Type

Journal Article

Year

2012

Language

English

PMID

22568640

HERO ID 1668664
In Press No
Year 2012
Title Spatial-temporal modeling of the association between air pollution exposure and preterm birth: Identifying critical windows of exposure
Authors Warren, J; Fuentes, M; Herring, A; Langlois, P
Journal Biometrics
Volume 68
Issue 4
Page Numbers 1157-1167
Abstract Exposure to high levels of air pollution during the pregnancy is associated with increased probability of preterm birth (PTB), a major cause of infant morbidity and mortality. New statistical methodology is required to specifically determine when a particular pollutant impacts the PTB outcome, to determine the role of different pollutants, and to characterize the spatial variability in these results. We develop a new Bayesian spatial model for PTB which identifies susceptible windows throughout the pregnancy jointly for multiple pollutants (PM(2.5) , ozone) while allowing these windows to vary continuously across space and time. We geo-code vital record birth data from Texas (2002-2004) and link them with standard pollution monitoring data and a newly introduced EPA product of calibrated air pollution model output. We apply the fully spatial model to a region of 13 counties in eastern Texas consisting of highly urban as well as rural areas. Our results indicate significant signal in the first two trimesters of pregnancy with different pollutants leading to different critical windows. Introducing the spatial aspect uncovers critical windows previously unidentified when space is ignored. A proper inference procedure is introduced to correctly analyze these windows.
Doi 10.1111/j.1541-0420.2012.01774.x
Pmid 22568640
Wosid WOS:000314236200017
Url https://academic.oup.com/biometrics/article/68/4/1157-1167/7394059
Is Certified Translation No
Dupe Override No
Comments Source: Web of Science WOS:000314236200017
Is Public Yes
Language Text English
Keyword Air pollution; Bayesian analysis; MCMC; Preterm birth; Probit regression; Spatial model