Preterm delivery, low birth weight and small for gestational age (SGA) are major causes of infant mortality and severe morbidity in the U.S. For African Americans, these risks are nearly doubled. Several studies have implicated air pollution, especially particulate matter <2.5mm (PM2.5) as a risk factor for adverse birth outcomes. A challenge in this research is that particles vary widely in chemical composition by region and season. Due to lack of scientific evidence on which types of particles are most harmful, particles are regulated by size. We will investigate two aspects of the chemical composition of particles: 1) levels of individual PM2.5 chemical components (e.g., nickel); and 2) levels of PM2.5 from specific sources (e.g. oil combustion), to investigate the relationship between exposure to specific types of particles and birth outcomes. We obtained filters from 8 CT and MA monitoring sites that were used to measure PM2.5 total mass. We will analyze these filters to determine levels of 49 chemical components. This chemical component data will be used in source apportionment modeling to estimate PM2.5 from specific sources (e.g. motor vehicles). Our primary outcomes will be birth weight (continuous), low birth weight <2500 gm, very low birth weight <1500 gm, preterm birth <37 wks, very preterm birth <32 wks, and small for gestational age (<10th percentile weight for gestational age), using CT and MA birth certificate data for births (2001-2006) within 30 km of the monitoring sites (N=213,000). Associations will be assessed between birth outcomes and PM2.5 chemical components (Aim 1) and between birth outcomes and the levels of PM2.5 from particular sources (Aim 2).
In Aim 3 we will examine traffic PM2.5 with three exposure methods: 1) the chemical component most associated with traffic from Aim 1; 2) traffic PM2.5 levels from Aim 2; and 3) traffic-related air pollution estimated through a GIS traffic model. In our preliminary studies, risk of low birth weight increased 8-13% per interquartile range (IQR) increase in exposure to specific PM2.5 components. We will have >90% power to detect a 10% increase in risk of any outcome (including very low birth weight, prevalence 1.5%) associated with an IQR change exposure to a specific PM2.5 component or PM2.5 source. Associations will be investigated in interaction models to test whether effects differ by race. Findings from this study will identify the components or sources of PM2.5 with the greatest impact on birth outcomes and could lead to interventions targeted at the sources most toxic to infant health.

Public Health Relevance

We are currently investigating the effects of PM2.5 (total particle mass) on adverse birth outcomes: preterm delivery, low birth weight and intrauterine growth restriction. In this application, we propose to determine the chemical composition of the particles and the sources of PM2.5 to investigate the relationship between exposure to specific types of particles and birth outcomes.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Research Project (R01)
Project #
5R01ES019587-05
Application #
8828687
Study Section
Infectious Diseases, Reproductive Health, Asthma and Pulmonary Conditions Study Section (IRAP)
Program Officer
Gray, Kimberly A
Project Start
2011-07-18
Project End
2016-02-28
Budget Start
2015-03-01
Budget End
2016-02-28
Support Year
5
Fiscal Year
2015
Total Cost
$426,432
Indirect Cost
$140,874
Name
Yale University
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06510
Tang, Zhongfeng; Zhang, Hanru; Bai, Haiya et al. (2018) Residential mobility during pregnancy in Urban Gansu, China. Health Place 53:258-263
Warren, Joshua L; Son, Ji-Young; Pereira, Gavin et al. (2018) Investigating the Impact of Maternal Residential Mobility on Identifying Critical Windows of Susceptibility to Ambient Air Pollution During Pregnancy. Am J Epidemiol 187:992-1000
Pereira, Gavin; Lee, Hyung Joo; Bell, Michelle et al. (2017) Development of a model for particulate matter pollution in Australia with implications for other satellite-based models. Environ Res 159:9-15
Son, Ji-Young; Lee, Hyung Joo; Koutrakis, Petros et al. (2017) Pregnancy and Lifetime Exposure to Fine Particulate Matter and Infant Mortality in Massachusetts, 2001-2007. Am J Epidemiol 186:1268-1276
Berman, Jesse D; Ebisu, Keita; Peng, Roger D et al. (2017) Drought and the risk of hospital admissions and mortality in older adults in western USA from 2000 to 2013: a retrospective study. Lancet Planet Health 1:e17-e25
Shao, Yawen; Qiu, Jie; Huang, Huang et al. (2017) Pre-pregnancy BMI, gestational weight gain and risk of preeclampsia: a birth cohort study in Lanzhou, China. BMC Pregnancy Childbirth 17:400
Jacobs, Milena; Zhang, Guicheng; Chen, Shu et al. (2017) The association between ambient air pollution and selected adverse pregnancy outcomes in China: A systematic review. Sci Total Environ 579:1179-1192
Ebisu, Keita; Berman, Jesse D; Bell, Michelle L (2016) Exposure to coarse particulate matter during gestation and birth weight in the U.S. Environ Int 94:519-524
Pereira, Gavin; Bracken, Michael B; Bell, Michelle L (2016) Particulate air pollution, fetal growth and gestational length: The influence of residential mobility in pregnancy. Environ Res 147:269-74
Pereira, Gavin; Evans, Kristin A; Rich, David Q et al. (2016) Fine Particulates, Preterm Birth, and Membrane Rupture in Rochester, NY. Epidemiology 27:66-73

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