Grantee Research Project Results
2015 Progress Report: Novel Estimates of Pollutant Mixtures and Pediatric Health in Two Birth Cohorts
EPA Grant Number: R834799C003Subproject: this is subproject number 003 , established and managed by the Center Director under grant R834799
(EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
Center: The Southeastern Center for Air Pollution and Epidemiology: Multiscale Measurements and Modeling of Mixtures
Center Director: Tolbert, Paige
Title: Novel Estimates of Pollutant Mixtures and Pediatric Health in Two Birth Cohorts
Investigators: Waller, Lance , Russell, Armistead G. , Chang, Howard , Mulholland, James , Darrow, Lyndsey , Strickland, Matthew , Klein, Mitchel , Guensler, Randy , Liu, Yang
Current Investigators: Strickland, Matthew J , Russell, Armistead G. , Chang, Howard , Mulholland, James , Waller, Lance , Darrow, Lyndsey , Klein, Mitchel , Guensler, Randy , Liu, Yang
Institution: Emory University , Georgia Institute of Technology
Current Institution: Emory University , Georgia Institute of Technology , University of Nevada - Reno
EPA Project Officer: Chung, Serena
Project Period: January 1, 2011 through December 31, 2016
Project Period Covered by this Report: August 1, 2014 through July 31,2015
RFA: Clean Air Research Centers (2009) RFA Text | Recipients Lists
Research Category: Human Health , Air
Objective:
In utero and early life experiences affect physiological development and can influence sensitivity to environmental factors throughout life. In this Project, we explore the interplay between certain early life events, characterizations of air pollutant mixtures developed as part of the Center’s Mixtures Characterization Toolkit, and a range of pediatric health outcomes using two large, population-based birth cohorts. One cohort consists of roughly 1.7 million Georgia birth records that have been geocoded to the Census block level and linked with pediatric emergency department visits by staff at the Georgia Department of Human Resources. Using this statewide birth cohort, we are investigating acute effects of air pollution mixtures on respiratory health outcomes and ear infections in children, and we are assessing whether children who were born premature or low birth weight are more sensitive to ambient air pollutant concentrations than their counterparts. Further, we are using the statewide birth cohort to investigate whether ambient air pollutant mixtures during pregnancy are associated with the risk of preterm delivery or reduced birth weight. The second birth cohort is comprised of children who were members of the Kaiser Permanente Georgia Health Maintenance Organization in metropolitan Atlanta. In this birth cohort, where comprehensive medical and residential histories are available for each study subject, we will examine whether air pollutant mixtures during the first year of life are associated with the incidence of childhood asthma.
Progress Summary:
- Published associations of ambient air pollution with several different types of respiratory emergency visits among children age 0-4 years in Atlanta (Darrow, et al. 2014 Am J Epidemiol), which received the 2014 Society of Toxicology Occupational Public Health Specialty Section Paper of the Year award. Also published a related manuscript describing the relationship between emergency visits for bronchiolitis during infancy and subsequent risk of emergency visits for asthma after age 5 in Georgia (Strickland, et al. 2014 Paediatr Perinat Epidemiol).
- Published joint effects estimates for NO2, ozone, and PM2.5 using classification and regression trees for pediatric asthma emergency visits in a three-city study (Atlanta, Dallas, and St. Louis) (Gass, et al. 2015 Environ Health). The estimates plateaued on moderately-high pollution days and did not increase further on days when all three pollutants were high.
- Published pediatric asthma emergency visits analyses using the Bayesian ensemble source apportionment estimates in Atlanta (Gass, et al. 2015 Am J Epidemiol). Analyses are innovative in part because they enable the uncertainty from the source apportion models to be propagated through the epidemiologic analyses.
- A manuscript on the Georgia analyses of fused CMAQ estimated in relation to preterm birth was accepted for publication at Environ Health Perspect on June 19, 2015. Associations were observed for traffic-related pollutants across several pregnancy windows, and associations tended to be higher for mothers with low educational attainment and for African American mothers.
- A manuscript on Georgia analyses of satellite-derived PM2.5 and emergency visits for pediatric respiratory disease was accepted for publication at Environ Health Perspect on May 21, 2015. We observed associations between short-term changes in PM2.5 with asthma/wheeze and with upper respiratory infections. Estimated associations were similar in urban, suburban, and rural areas.
- Published Atlanta time-series analyses using mixtures estimated from self-organizing maps (Pearce, et al. 2015 Environ Health). Using a low pollution day type as the reference level, we found significant associations of increased asthma morbidity in three of nine categories suggesting adverse effects when combinations of primary (CO, NO2, NOX, EC, and OC) and/or secondary (O3, NH4, SO4) pollutants exhibited elevated concentrations (typically, occurring on dry days with low wind speed).
- A manuscript describing the fusion of observational data with chemical transport model simulations and a manuscript describing the link between reactive oxygen species and cardiorespiratory effects are under peer review.
- Preliminary results were generated for a Georgia-wide analysis of pediatric ED visits with fused CMAQ estimates; a first draft manuscript has been prepared.
- The CMAQ + RLINE fusion air quality model for estimating PM2.5 from traffic emissions in Atlanta for use in the Kaiser Permanente analyses has been finalized.
- Presented preliminary results for associations between RLINE estimates and incidence of asthma in the Kaiser Permanente cohort at the 2015 Society for Epidemiologic Research Annual Meeting. We have drafted a related manuscript on asthma diagnosis issues within the cohort, and also have investigated the link between C-section delivery and asthma diagnosis later in childhood. These findings were presented at the Society for Pediatric and Perinatal Epidemiology Conference (2015) and at the Society for Epidemiologic Research Conference (2015).
Future Activities:
- Ensure all manuscripts currently in the peer review process are published.
- Finalize analyses and submit manuscript for statewide pediatric ED visit and fused CMAQ analysis.
- Finalize analyses and submit manuscript for statewide birth weight analyses.
- Prepare and submit a manuscript describing the CMAQ and RLINE fusion model estimates in Atlanta.
- Prepare and submit a manuscript on the Kaiser Permanente asthma incidence analyses.
- Prepare and submit a manuscript on the Kaiser Permanente asthma classification approach.
- Examine associations between pregnancy exposures to PM2.5 from traffic and asthma in the Kaiser Permanente cohort.
- Conduct further sub-analyses of both cohorts.
Journal Articles on this Report : 28 Displayed | Download in RIS Format
Other subproject views: | All 91 publications | 39 publications in selected types | All 37 journal articles |
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Other center views: | All 338 publications | 139 publications in selected types | All 135 journal articles |
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Balachandran S, Pachon JE, Hu Y, Lee D, Mulholland JA, Russell AG. Ensemble-trained source apportionment of fine particulate matter and method uncertainty analysis. Atmospheric Environment 2012;61:387-394. |
R834799 (2012) R834799 (2013) R834799 (2014) R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2013) R834799C003 (2014) R834799C003 (2015) R834799C003 (Final) R834799C004 (2013) R834799C004 (2014) R834799C004 (2015) R834799C004 (Final) R833866 (2012) R833866 (Final) |
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Chang HH, Hu X, Liu Y. Calibrating MODIS aerosol optical depth for predicting daily PM2.5 concentrations via statistical downscaling. Journal of Exposure Science & Environmental Epidemiology 2014;24(4):398-404. |
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Chang HH, Warren JL, Darrow LA, Reich BJ, Waller LA. Assessment of critical exposure and outcome windows in time-to-event analysis with application to air pollution and preterm birth study. Biostatistics 2015;16(3):509-521. |
R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2015) R834799C003 (Final) |
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Darrow LA, Klein M, Flanders WD, Mulholland JA, Tolbert PE, Strickland MJ. Air pollution and acute respiratory infections among children 0-4 years: an 18-year time-series study. American Journal of Epidemiology 2014;180(10):968-977. |
R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2015) R834799C003 (Final) |
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Flanders WD, Klein M, Darrow LA, Strickland MJ, Sarnat SE, Sarnat JA, Waller LA, Winquist A, Tolbert PE. A method for detection of residual confounding in time-series and other observational studies. Epidemiology 2011;22(1):59-67. |
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Flanders WD, Klein M, Darrow LA, Strickland MJ, Sarnat SE, Sarnat JA, Waller LA, Winquist A, Tolbert PE. A method to detect residual confounding in spatial and other observational studies. Epidemiology 2011;22(6):823-826. |
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Gass K, Klein M, Chang HH, Flanders WD, Strickland MJ. Classification and regression trees for epidemiologic research: an air pollution example. Environmental Health 2014;13(1):17 (10 pp.). |
R834799 (2014) R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2013) R834799C003 (2014) R834799C003 (2015) R834799C003 (Final) R834799C004 (2013) R834799C004 (2014) R834799C004 (2015) R834799C004 (Final) |
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Gass K, Balachandran S, Chang HH, Russell AG, Strickland MJ. Ensemble-based source apportionment of fine particulate matter and emergency department visits for pediatric asthma. American Journal of Epidemiology 2015;181(7):504-512. |
R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2015) R834799C003 (Final) R833866 (Final) |
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Gass K, Klein M, Sarnat SE, Winquist A, Darrow LA, Flanders WD, Chang HH, Mulholland JA, Tolbert PE, Strickland MJ. Associations between ambient air pollutant mixtures and pediatric asthma emergency department visits in three cities: a classification and regression tree approach. Environmental Health 2015;14:58 (14 pp.). |
R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2015) R834799C003 (Final) R834799C004 (2014) R834799C004 (2015) R834799C004 (Final) |
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Goldman GT, Mulholland JA, Russell AG, Strickland MJ, Klein M, Waller LA, Tolbert PE. Impact of exposure measurement error in air pollution epidemiology: effect of error type in time-series studies. Environmental Health 2011;10:61 (11 pp.). |
R834799 (2011) R834799 (2013) R834799 (2014) R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2011) R834799C003 (2013) R834799C003 (2014) R834799C003 (2015) R834799C003 (Final) R834799C004 (2013) R834799C004 (2014) R834799C004 (2015) R834799C004 (Final) R829213 (Final) R833866 (Final) |
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Goldman GT, Mulholland JA, Russell AG, Gass K, Strickland MJ, Tolbert PE. Characterization of ambient air pollution measurement error in a time-series health study using a geostatistical simulation approach. Atmospheric Environment 2012;57:101-108. |
R834799 (2012) R834799 (2013) R834799 (2014) R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2012) R834799C003 (2013) R834799C003 (2014) R834799C003 (2015) R834799C003 (Final) R834799C004 (2013) R834799C004 (2014) R834799C004 (2015) R834799C004 (Final) R829213 (Final) R833626 (Final) R833866 (Final) |
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Hao H, Chang HH, Holmes HA, Mulholland JA, Klein M, Darrow LA, Strickland MJ. Air pollution and preterm birth in the U.S. state of Georgia (2002-2006): associations with concentrations of 11 ambient air pollutants estimated by combining Community Multiscale Air Quality Model (CMAQ) simulations with stationary monitor measurements. Environmental Health Perspectives 2016;124(6):875-880. |
R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2015) R834799C003 (Final) |
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Hu X, Waller LA, Al-Hamdan MZ, Crosson WL, Estes Jr. MG, Estes SM, Quattrochi DA, Sarnat JA, Liu Y. Estimating ground-level PM2.5 concentrations in the southeastern U.S. using geographically weighted regression. Environmental Research 2013;121:1-10. |
R834799 (2013) R834799 (2014) R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2013) R834799C003 (2014) R834799C003 (2015) R834799C003 (Final) |
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Hu X, Waller LA, Lyapustin A, Wang Y, Al-Hamdan MZ, Crosson WL, Estes Jr. MG, Estes SM, Quattrochi DA, Puttaswamy SJ, Liu Y. Estimating ground-level PM2.5 concentrations in the Southeastern United States using MAIAC AOD retrievals and a two-stage model. Remote Sensing of Environment 2014;140:220-232. |
R834799 (2014) R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2013) R834799C003 (2014) R834799C003 (2015) R834799C003 (Final) |
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Hu X, Waller LA, Lyapustin A, Wang Y, Liu Y. 10-year spatial and temporal trends of PM2.5 concentrations in the southeastern US estimated using high-resolution satellite data. Atmospheric Chemistry and Physics 2014;14(12):6301-6314. |
R834799 (2014) R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2014) R834799C003 (2015) R834799C003 (Final) |
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Ma Z, Hu X, Huang L, Bi J, Liu Y. Estimating ground-level PM2.5 in China using satellite remote sensing. Environmental Science & Technology 2014;48(13):7436-7444. |
R834799 (2014) R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2014) R834799C003 (2015) R834799C003 (Final) |
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Pachon JE, Balachandran S, Hu Y, Mulholland JA, Darrow LA, Sarnat JA, Tolbert PE, Russell AG. Development of outcome-based, multipollutant mobile source indicators. Journal of the Air & Waste Management Association 2012;62(4):431-442. |
R834799 (2012) R834799 (2013) R834799 (2014) R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2013) R834799C003 (2014) R834799C003 (2015) R834799C003 (Final) R834799C004 (2013) R834799C004 (2014) R834799C004 (2015) R834799C004 (Final) R833626 (Final) R833866 (Final) |
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Pearce JL, Waller LA, Chang HH, Klein M, Mulholland JA, Sarnat JA, Sarnat SE, Strickland MJ, Tolbert PE. Using self-organizing maps to develop ambient air quality classifications: a time series example. Environmental Health 2014;13:56. |
R834799 (2014) R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2015) R834799C003 (Final) R834799C004 (2014) R834799C004 (2015) R834799C004 (Final) |
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Pearce JL, Waller LA, Mulholland JA, Sarnat SE, Strickland MJ, Chang HH, Tolbert PE. Exploring associations between multipollutant day types and asthma morbidity: epidemiologic applications of self-organizing map ambient air quality classifications. Environmental Health 2015;14:55 (12 pp.). |
R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2013) R834799C003 (2015) R834799C003 (Final) R834799C004 (2013) R834799C004 (2015) R834799C004 (Final) |
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Reich BJ, Chang HH, Strickland MJ. Spatial health effects analysis with uncertain residential locations. Statistical Methods in Medical Research 2014;23(2):156-168. |
R834799 (2012) R834799 (2013) R834799 (2014) R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2012) R834799C003 (2013) R834799C003 (2014) R834799C003 (2015) R834799C003 (Final) R833863 (2011) |
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Strickland MJ, Darrow LA, Mulholland JA, Klein M, Flanders WD, Winquist A, Tolbert PE. Implications of different approaches for characterizing ambient air pollutant concentrations within the urban airshed for time-series studies and health benefits analyses. Environmental Health 2011;10:36 (9 pp.). |
R834799 (2011) R834799 (2013) R834799 (2014) R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2011) R834799C003 (2013) R834799C003 (2014) R834799C003 (2015) R834799C003 (Final) R834799C004 (2013) R834799C004 (2014) R834799C004 (2015) R834799C004 (Final) R829213 (Final) |
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Strickland MJ, Marsh CA, Darrow LA. Gestational age-specific associations between infantile acute bronchiolitis and asthma after age five. Pediatric and Perinatal Epidemiology 2014;28(6):521-526. |
R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2015) R834799C003 (Final) |
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Strickland MJ, Klein M, Flanders WD, Chang HH, Mulholland JA, Tolbert PE, Darrow LA. Modification of the effect of ambient air pollution on pediatric asthma emergency visits: susceptible subpopulations. Epidemiology 2014;25(6):843-850. |
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Strickland MJ, Gass KM, Goldman GT, Mulholland JA. Effects of ambient air pollution measurement error on health effect estimates in time-series studies: a simulation-based analysis. Journal of Exposure Science & Environmental Epidemiology 2015;25(2):160-166. |
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Strickland MJ, Hao H, Hu X, Chang HH, Darrow LA, Liu Y. Pediatric emergency visits and short-term changes in PM2.5 concentrations in the U.S. state of Georgia. Environmental Health Perspectives 2016;124(5):690-696. |
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Waller LA. Commentary: regarding assessments of chance in investigations of ‘cluster series.’ International Journal of Epidemiology 2013;42(2):449-452. |
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Winquist A, Kirrane E, Klein M, Strickland M, Darrow LA, Sarnat SE, Gass K, Mulholland J, Russell A, Tolbert P. Joint effects of ambient air pollutants on pediatric asthma emergency department visits in Atlanta, 1998-2004. Epidemiology 2014;25(5):666-673. |
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Yu C, Di Girolamo L, Chen L, Zhang X, Liu Y. Statistical evaluation of the feasibility of satellite-retrieved cloud parameters as indicators of PM2.5 levels. Journal of Exposure Science & Environmental Epidemiology 2015;25(5):457-466. |
R834799 (2014) R834799 (2015) R834799 (2016) R834799 (Final) R834799C003 (2014) R834799C003 (2015) R834799C003 (Final) |
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Supplemental Keywords:
ambient air, atmosphere, health effects, human health, susceptibility, vulnerability, sensitive populations, infants, children, risk, dose-response, cumulative effects, epidemiology, exposure, public policy, air quality modeling, monitoring, measurement methods, aerosol, particulates, PM2.5, organics, elemental carbon, metals, ozone, oxidants, PAH, sulfates, source characterization, mobile sources, Georgia, GA, Southeast, Scientific Discipline, Health, Health Risk Assessment, Risk Assessments, Environmental Monitoring, Biochemistry, Atmospheric Sciences, children's health, particulate matter, ambient air monitoring, climate change, air pollution, airshed modeling, ambient particle health effects, susceptibility, human health riskRelevant Websites:
Southeastern Center for Air Pollution & Epidemiology (SCAPE) Exit
Progress and Final Reports:
Original AbstractMain Center Abstract and Reports:
R834799 The Southeastern Center for Air Pollution and Epidemiology: Multiscale Measurements and Modeling of Mixtures Subprojects under this Center: (EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
R834799C001 Development and Deployment of an Instrumentation Suite for Comprehensive Air Quality Characterization Including Aerosol ROS
R834799C002 Examining In-Vehicle Pollution and Oxidative Stress in a Cohort of Daily Commuters
R834799C003 Novel Estimates of Pollutant Mixtures and Pediatric Health in Two Birth Cohorts
R834799C004 A Multi-City Time-Series Study of Pollutant Mixtures and Acute Morbidity
The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.
Project Research Results
- Final Report
- 2014 Progress Report
- 2013 Progress Report
- 2012 Progress Report
- 2011 Progress Report
- Original Abstract
37 journal articles for this subproject
Main Center: R834799
338 publications for this center
135 journal articles for this center