2010 Progress Report: Southern Center on Environmentally-Driven Disparities in Birth Outcomes

EPA Grant Number: R833293
Center: Southern Center on Environmentally Driven Disparities in Birth Outcomes
Center Director: Miranda , Marie Lynn
Title: Southern Center on Environmentally-Driven Disparities in Birth Outcomes
Investigators: Miranda , Marie Lynn , Ashley-Koch, Allison , Auten, Richard , Foster, W. Michael , Gelfand, Alan , Maxson, Pamela , Myers, Evan , Reiter, Jerome , Swamy, Geeta , Williams, Redford
Current Investigators: Miranda , Marie Lynn , Ashley-Koch, Allison , Auten, Richard , Foster, W. Michael , Gelfand, Alan , Gibson-Davis, Christina , Goodall, Jonathan , James, Sherman , Keating, Martha H. , Maxson, Pamela , Reiter, Jerome , Swamy, Geeta , Williams, Redford
Institution: Duke University
EPA Project Officer: Callan, Richard
Project Period: May 1, 2007 through April 30, 2012 (Extended to April 30, 2014)
Project Period Covered by this Report: May 1, 2010 through April 30,2011
Project Amount: $7,735,620
RFA: Centers for Children’s Environmental Health and Disease Prevention Research (2005) RFA Text |  Recipients Lists
Research Category: Children's Health , Health Effects , Health

Objective:

Center Overview
 
The central mission of the Southern Center on Environmentally-Driven Disparities in Birth Outcomes (SCEDDBO) is to determine how environmental, social, and host factors jointly contribute to health disparities. Specific aims of the Center are:
  1. To develop and operate an interdisciplinary children’s health research center with a focus on understanding how biological, physiological, environmental, and social aspects of vulnerability contribute to health disparities;
  2. To enhance research in children’s health at Duke by promoting research interactions among programs in biomedicine, pediatric and obstetric care, environmental health, and the social sciences and establishing an infrastructure to support and extend interdisciplinary research;
  3. To develop new methodologies for incorporating innovative statistical analysis into children’s environmental health research and policy practice, with a particular emphasis on spatial, genetic and proteomic analysis;
  4. To serve as a technical and educational resource to the local community, region, the nation, and to international agencies in the area of children’s health and health disparities; and,
  5. To translate the results of the Center into direct interventions in clinical care and practice.

SCEDDBO leverages and promotes active partnerships among the Nicholas School of the Environment, the Duke University Medical Center, Trinity College of Arts and Sciences, and Duke’s Children's Environmental Health Initiative, as well as the Durham County Health Department (DCHD), and the Lincoln Community Health Center (LCHC). The Center brings together the expertise of obstetricians, pediatricians, genetic epidemiologists, spatial statisticians, environmental scientists, social epidemiologists, social psychologists, geographers, and community organizations. SCEDDBO capitalizes on substantial ongoing commitments by Duke University to foster strong interdisciplinary research programs in environmental health sciences.

Progress Summary:

Synthesis across SCEDDBO.  Research Project A: Mapping Disparities in Birth Outcomes provides population-level research on health disparities in birth outcomes. Spatially-linking 1.7 million birth records with environmental, social, and host factor data layers allows for population-level analysis of potential co-factors identified in both the clinical obstetrics Research Project B: Healthy Pregnancy, Healthy Baby: Studying Racial Disparities in Birth Outcomes and mouse model Research Project C: Perinatal Environmental Exposure Disparity and Neonatal Respiratory Health studies. The data from Research Project A is spatially linked in GIS to the data from Research Project B.

The neighborhood assessment undertaken in Research Project B provides important neighborhood-level environmental and social data to Research Project A. In addition, the environmental data developed for Research Project A works synergistically with the mouse model work in Research Project C. For example, the air quality data from Research Project A is being used to further refine experimental dose design in Research Project C. In turn, results from Research Project C regarding experimental effects of multiple environmental agents on fetal growth restriction and postnatal somatic and lung development help point to locations in North Carolina where we are looking more closely at air quality impacts on birth outcomes in Research Project A.

Thus Research Project A is an epidemiological study, while Research Project B is a complementary clinical obstetrics project. Both projects focus on how combined environmental, social, and host factors shape disparities in birth outcomes.  Research Project B also allows for additional host factor analysis. Research Project C uses a mouse model system to explore how disparities in exposure and response to exposure initiate and/or enhance disparities in birth outcomes and subsequent neonatal respiratory health. Like Research Projects A and B, Project C explores the effects of combined environmental exposures to prototypical air pollutants common in North Carolina (particulate matter and ozone), as well as social stress, on fetal growth restriction, neonatal somatic growth, and subsequent lung development and function.

The synergy among the research projects is facilitated by the GIS and Statistical Analysis (GISSA) Core. The GISSA Core allows for data analysis of the very large amount of data through the use of high-end GIS applications in combination with Bayesian spatial hierarchical modeling and other advanced spatial statistical approaches, thus permitting multi-level analysis. Research Projects A and B both apply a Bayesian spatial hierarchical modeling approach to capture uncertainties in pregnancy outcomes and to elucidate the contributions of economic, sociocultural, and environmental stressors on health disparities in pregnancy outcomes. State-of-the-art GIS methods allow for sophisticated spatial statistical analyses at highly resolved spatial scales.  

The GISSA Core also provides the analysis of the biological response and genetic data generated in Research Projects B and C. The rich source of social, environmental, and host data in Project B, coupled with sophisticated statistical genetic approaches for identifying gene-gene and gene-environment interactions, provides the opportunity to make important discoveries of how these higher order interactions may be working together to promote or prevent adverse birth outcomes. By serving as a central clearinghouse for statistical analysis, the GISSA Core tracks outcomes in each project and uses these discoveries to guide the analysis in each of the other projects. 

The Community and Outreach Translation Core (COTC) facilitates the communication of findings from our large-scale study and future more-focused investigations. The COTC supported the implementation of the neighborhood assessment undertaken in Research Project B and has helped to communicate the results of the assessment to community partners. In addition, the COTC draws on the GISSA Core to develop materials that communicate the results of the research projects in formats and applications that are immediately accessible to the lay public.

SCEDDBO is characterized by significant synergies among center components. To provide concrete examples of how the work of the center is moving forward in a collaborative way, here we highlight four areas: air pollution, social context of environmental stress, the Community Assessment Project, and statistical methods development. We provide summaries in this center overview; additional details can be found in the individual center component write-ups.

Air Pollution. To investigate the relationship of air pollution exposure and pregnancy outcomes, we have examined air pollution in all three projects. In Projects A and B, we have used criteria air pollutant data from the EPA AQS monitoring network, as well as CMAQ and FUSED modeling data. In addition, we have recently obtained highly resolved air toxics data. These data have been spatially linked to the births in both Projects A and B. In addition, we have created a road proximity measure which can be used in both Projects A and B.  The road proximity measures allow us to consider a relatively simple metric for assessing risk of exposure to air pollution, specifically traffic-related air pollution which includes particulate matter and diesel exhaust, both of which are being investigated within Project C. We have already published several manuscripts on the relationship between air pollution and pregnancy outcomes and anticipate several more in Year 5. We are also preparing a manuscript that synthesizes the air pollution work done across projects to be submitted during year 5.

The Social Context of Environmental Stress. We continue to work toward synthesis across all three projects. We have been able to combine our knowledge of the pregnant women in Project A with our rich data from the pregnant women in Project B. With our access to the North Carolina Detailed Birth Record (DBR) in Project A, we have been able to link participants in Project B with their birth certificate data. Using maternal and infant identifying information, including name, place, and date of birth, we have been able to link 1349 (99.0%) participants who completed the study and had a live birth by December 31, 2009 and 96 (79.3%) participants that were lost-to-follow-up but with an expected delivery date on or before December 31, 2009. This linkage will allow us to examine multiple questions including racial residential segregation, residential mobility, and maternal medical complications.

Additionally, the effects of resource deprivation suggested by findings in Projects A and B prompted Project C to add a resource deprivation (nesting restriction) component in order to test the proof-of-principle that the combination of multiple stressors/environmental contaminants may affect health even when the individual exposures do not.

Community Assessment Project/Built Environment. An important measure of potential environmental stress is the built environment. Our Community Assessment Project assessed built environment variables for over 17,000 tax parcels, including the home addresses of over 40% of the participants in the Healthy Pregnancy, Healthy Baby Study (SCEDDBO Project B). Analyses of the built environment data are underway. Seven scales (housing damage, property disorder, security measures, tenure, vacancy, violent crime and nuisances) have been constructed at five levels of geography (census block, primary adjacency communities, census block group, census tract, and city-defined neighborhoods). The continuous and categorical scale variables have been merged with the Durham birth records (Project A) and with the clinical OB participants’ records (Project B), which enables multiple analyses of the relationships among the built environment, psychosocial health, and pregnancy outcomes. The second wave of data collection is planned for year 5.

Statistical Methods Development. We are pursuing three projects that capitalize on combining information in the data for Project A and Project B. The first project is to utilize the fine detail in Project B data to improve analyses involving Project A data. 

The second project is to use the Project B data to check the sensitivity of conclusions from Project A analyses to potential unmeasured confounding. This is accomplished by comparing the findings from models fit using Project A data with the findings from parallel models fit using Project B data that control for additional relevant variables available only in Project B. If the associations found in the Project A models remain robust after including the potential confounders from Project B, our confidence in the conclusions increases. We are working on methods that perform such tests in a principled, model-based manner. In a related project, we also are checking the sensitivity of conclusions from Project A analyses to possible measurement errors in the data. For example, educational attainment variables for mothers in the intersection of Project A and Project B are quite different on the two datafiles. We treat Project B education values as truth—since we are more confident in their accuracy—and replace the Project A education values with this new truth. For mothers in the intersection of the datasets, we then can re-run analyses to see if results change dramatically. We also are working on imputing corrected values of education for the entire Project A data.

The third project is to explore factors that affect maternal blood pressure during pregnancy. This project involves combining pollution data from Project A with other data from Project B. We consider a variety of statistical approaches for this project, including latent trajectory and sparse functional data models.  In the latter approach, we introduce a low-dimensional set of latent factors to predict blood pressure curves. Environmental, social, and genetic factors are used to help explain variation in the blood pressure trajectories. Our ultimate goal is to link these predicted trajectories to birth outcomes; for example, women with monotonically-increasing blood pressure trajectories may exhibit poorer birth outcomes than women with U-shaped curves. Methodological extensions include joint modeling of blood pressure and air pollution trajectories via structural equation models.


Journal Articles: 75 Displayed | Download in RIS Format

Other center views: All 162 publications 76 publications in selected types All 75 journal articles
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Journal Article Anthopolos R, James SA, Gelfand AE, Miranda ML. A spatial measure of neighborhood level racial isolation applied to low birthweight, preterm birth, and birthweight in North Carolina. Spatial and Spatio-temporal Epidemiology 2011;2(4):235-246. R833293 (2009)
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  • Journal Article Anthopolos R, Edwards SE, Miranda ML. Effects of maternal prenatal smoking and birth outcomes extending into the normal range on academic performance in fourth grade in North Carolina, USA. Paediatric and Perinatal Epidemiology 2013;27(6):564-574. R833293 (2012)
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  • Journal Article Anthopolos R, Kaufman JS, Messer LC, Miranda ML. Racial residential segregation and preterm birth: built environment as a mediator. Epidemiology 2014;25(3):397-405. R833293 (Final)
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  • Journal Article Auten RL, Potts EN, Mason SN, Fischer B, Huang Y, Foster WM. Maternal exposure to particulate matter increases postnatal ozone-induced airway hyperreactivity in juvenile mice. American Journal of Respiratory and Critical Care Medicine 2009;180(12):1218-1226. R833293 (Final)
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  • Journal Article Auten RL, Foster WM. Biochemical effects of ozone on asthma during postnatal development. Biochimica et Biophysica Acta 2011;1810(11):1114-1119. R833293 (2009)
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  • Journal Article Berrocal VJ, Gelfand AE, Holland DM. A bivariate space-time downscaler under space and time misalignment. Annals of Applied Statistics 2010;4(4):1942-1975. R833293 (2009)
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  • Journal Article Berrocal VJ, Gelfand AE, Holland DM. A spatio-temporal downscaler for output from numerical models. Journal of Agricultural, Biological, and Environmental Statistics 2010;15(2):176-197. R833293 (2009)
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  • Journal Article Berrocal VJ, Gelfand AE, Holland DM, Burke J, Miranda ML. On the use of a PM2.5 exposure simulator to explain birthweight. Environmetrics 2011;22(4):553-571. R833293 (2009)
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  • Journal Article Berrocal VJ, Gelfand AE, Holland DM. Space-time data fusion under error in computer model output: an application to modeling air quality. Biometrics 2012;68(3):837-848. R833293 (2011)
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  • Journal Article Berrocal VJ, Miranda ML, Gelfand AE, Bhattacharya S. Synthesizing categorical datasets to enhance inference. Statistical Methodology 2013;15:25-45. R833293 (2007)
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  • Journal Article Block ML, Elder A, Auten RL, Bilbo SD, Chen H, Chen J-C, Cory-Slechta DA, Costa D, Diaz-Sanchez D, Dorman DC, Gold DR, Gray K, Jeng HA, Kaufman JD, Kleinman MT, Kirshner A, Lawler C, Miller DS, Nadadur SS, Ritz B, Semmens EO, Tonelli LH, Veronesi B, Wright RO, Wright RJ. The outdoor air pollution and brain health workshop. NeuroToxicology 2012;33(5):972-984. R833293 (2011)
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  • Journal Article Bolton JL, Smith SH, Huff NC, Gilmour MI, Foster WM, Auten RL, Bilbo SD. Prenatal air pollution exposure induces neuroinflammation and predisposes offspring to weight gain in adulthood in a sex-specific manner. FASEB Journal 2012;26(11):4743-4754. R833293 (2011)
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  • Journal Article Bolton JL, Huff NC, Smith SH, Mason SN, Foster WM, Auten RL, Bilbo SD. Maternal stress and effects of prenatal air pollution on offspring mental health outcomes in mice. Environmental Health Perspectives 2013;121(9):1075-1082. R833293 (2012)
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  • Journal Article Brown JS, Graham JA, Chen LC, Postlethwait EM, Ghio AJ, Foster WM, Gordon T. Panel discussion review: session four--assessing biological plausibility of epidemiological findings in air pollution research. Journal of Exposure Science and Environmental Epidemiology 2007;17(Suppl 2):S97-S105. R833293 (2007)
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  • Journal Article Burgette LF, Reiter JP. Multiple imputation for missing data via sequential regression trees. American Journal of Epidemiology 2010;172(9):1070-1076. R833293 (2008)
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  • Journal Article Burgette LF, Reiter JP, Miranda ML. Exploratory quantile regression with many covariates: an application to adverse birth outcomes. Epidemiology 2011;22(6):859-866. R833293 (2010)
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  • Journal Article Burgette LF, Reiter JP. Nonparametric Bayesian multiple imputation for missing data due to mid-study switching of measurement methods. Journal of the American Statistical Association 2012;107(498):439-449. R833293 (2010)
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  • Journal Article Burgette LF, Reiter JP. Modeling adverse birth outcomes via confirmatory factor quantile regression. Biometrics 2012;68(1):92-100. R833293 (2010)
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  • Journal Article Buttke DE, Wolkin A, Stapleton HM, Miranda ML. Associations between serum levels of polybrominated diphenyl ether (PBDE) flame retardants and environmental and behavioral factors in pregnant women. Journal of Exposure Science & Environmental Epidemiology 2013;23(2):176-182. R833293 (2011)
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  • Journal Article Chang HH, Reich BJ, Miranda ML. Chang et al. Respond to “Environmental exposures and preterm birth." American Journal of Epidemiology 2012;175(2):111-112. R833293 (2011)
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  • Journal Article Chang HH, Reich BJ, Miranda ML. Time-to-event analysis of fine particle air pollution and preterm birth: results from North Carolina, 2001-2005. American Journal of Epidemiology 2012;175(2):91-98. R833293 (2010)
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  • Journal Article Chang HH, Reich BJ, Miranda ML. A spatial time-to-event approach for estimating associations between air pollution and preterm birth. Journal of the Royal Statistical Society--Series C (Applied Statistics) 2013;62(2):167-179. R833293 (2011)
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  • Journal Article Dadabhoy FZ, Maxson PJ, Huff N, Auten RL. Perinatal exposure to air pollutants had adverse effects on behavioral outcomes in mice. International Journal on Disability and Human Development 2012;11(4):359-368. R833293 (Final)
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  • Journal Article Edwards SE, Strauss B, Miranda ML. Geocoding large population-level administrative datasets at highly resolved spatial scales. Transactions in GIS 2014;18(4):586-603. R833293 (Final)
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  • Journal Article Gray SC, Edwards SE, Miranda ML. Assessing exposure metrics for PM and birth weight models. Journal of Exposure Science and Environmental Epidemiology 2010;20(5):469-477. R833293 (2008)
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  • Journal Article Gray SC, Gelfand AE, Miranda ML. Hierarchical spatial modeling of uncertainty in air pollution and birth weight study. Statistics in Medicine 2011;30(17):2187-2198. R833293 (2010)
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  • Journal Article Gray SC, Edwards SE, Miranda ML. Race, socioeconomic status, and air pollution exposure in North Carolina. Environmental Research 2013;126:152-158. R833293 (2012)
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  • Journal Article Gray SC, Edwards SE, Schultz BD, Miranda ML. Assessing the impact of race, social factors and air pollution on birth outcomes: a population-based study. Environmental Health 2014;13(1):4. R833293 (2012)
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  • Journal Article Gregory SG, Anthopolos R, Osgood CE, Grotegut CA, Miranda ML. Association of autism with induced or augmented childbirth in North Carolina Birth Record (1990-1998) and Education Research (1997-2007) databases. JAMA Pediatrics 2013;167(10):959-966. R833293 (2012)
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  • Journal Article Gruber A, Maxson P. Disparities in psychosocial health and the built environment during pregnancy. International Journal on Disability and Human Development 2012;11(4):377-385. R833293 (Final)
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  • Journal Article Heaton MJ, Gray SC, Gelfand AE. Process modeling for contingency tables with ordered categories. Statistical Modelling 2012;12(3):211-228. R833293 (Final)
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  • Journal Article Henderson K, Maxson P. Obesity intervention strategies and the built environment in Durham, North Carolina. International Journal of Child and Adolescent Health 2009;2(3):Article 8. R833293 (Final)
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  • Journal Article Henry H, Anthopolos R, Maxson P. Traffic-related air pollution and pediatric asthma in Durham County, North Carolina. International Journal on Disability and Human Development 2013;12(4):467-471. R833293 (Final)
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  • Journal Article Kim JY, Burnett RT, Neas L, Thurston GD, Schwartz J, Tolbert PE, Brunekreef B, Goldberg MS, Romieu I. Panel discussion review: session two--interpretation of observed associations between multiple ambient air pollutants and health effects in epidemiologic analyses. Journal of Exposure Science and Environmental Epidemiology 2007;17(Suppl 2):S83-S89. R833293 (2008)
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  • Journal Article Koehrn KM, Keating MH. The regulation of agricultural pesticides in North Carolina: implications for migrant farm workers and their families. International Journal of Child and Adolescent Health 2009;2(3):Article 4. R833293 (Final)
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  • Journal Article Kroeger GL, Messer L, Edwards SE, Miranda ML. A novel tool for assessing and summarizing the built environment. International Journal of Health Geographics 2012;11:46 (13 pp.). R833293 (Final)
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  • Journal Article Lum K, Gelfand AE. Spatial quantile multiple regression using the asymmetric Laplace process. Bayesian Analysis 2012;7(2):235-258. R833293 (2011)
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  • Journal Article Martz M, Anthopolos R, Geller M, Maxson P. Pediatric obesity and food access in Durham, North Carolina. International Journal of Child Health and Human Development 2014;7(3). R833293 (Final)
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  • Journal Article Maxson PJ, Edwards SE, Ingram A, Miranda ML. Psychosocial differences between smokers and non-smokers during pregnancy. Addictive Behaviors 2012;37(2):153-159. R833293 (2011)
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  • Journal Article Maxson PJ. Together we can break the cycle. International Journal on Disability and Human Development 2012;11(4):307-314. R833293 (Final)
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  • Journal Article Maxson PJ, Edwards SE, Valentiner EM, Miranda ML. A multidimensional approach to characterizing psychosocial health during pregnancy. Maternal and Child Health Journal 2016;20(6):1103-1113. R833293 (Final)
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  • Journal Article Maxson P, Miranda ML. Pregnancy intention, demographic differences, and psychosocial health. Journal of Women's Health 2011;20(8):1215-1223. R833293 (2010)
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  • Journal Article Messer LC, Maxson P, Miranda ML. The urban built environment and associations with women's psychosocial health. Journal of Urban Health 2013;90(5):857-871. R833293 (2011)
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  • Journal Article Miranda ML, Keating MH, Edwards SE. Environmental justice implications of reduced reporting requirements for the Toxics Release Inventory Burden Reduction Rule. Environmental Science & Technology 2008;42(15):5407-5414. R833293 (Final)
    R833293C004 (Final)
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  • Journal Article Miranda ML, Maxson P, Edwards S. Environmental contributions to disparities in pregnancy outcomes. Epidemiologic Reviews 2009;31(1):67-83. R833293 (2008)
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  • Journal Article Miranda ML, Edwards SE, Swamy GK, Paul CJ, Neelon B. Blood lead levels among pregnant women: historical versus contemporaneous exposures. International Journal of Environmental Research and Public Health 2010;7(4):1508-1519. R833293 (2008)
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  • Journal Article Miranda ML, Swamy GK, Edwards S, Maxson P, Gelfand A, James S. Disparities in maternal hypertension and pregnancy outcomes: evidence from North Carolina, 1994-2003. Public Health Reports 2010;125(4):579-587. R833293 (2008)
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  • Journal Article Miranda ML, Maxson P, Kim D. Early childhood lead exposure and exceptionality designations for students. International Journal of Child Health and Human Development 2010;3(1):77-84. R833293 (2008)
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  • Abstract: International Journal of Child Health and Human Development-Abstract
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  • Journal Article Miranda ML, Edwards SE, Keating MH, Paul CJ. Making the environmental justice grade: the relative burden of air pollution exposure in the United States. International Journal of Environmental Research and Public Health 2011;8(6):1755-1771. R833293 (2011)
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  • Journal Article Miranda ML, Edwards S, Maxson PJ. Mercury levels in an urban pregnant population in Durham County, North Carolina. International Journal of Environmental Research in Public Health 2011;8(3):698-712. R833293 (2010)
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  • Journal Article Miranda ML, Edwards SE. Use of spatial analysis to support environmental health research and practice. North Carolina Medical Journal 2011;72(2):132-135. R833293 (2011)
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  • Journal Article Miranda ML, Edwards SE, Myers ER. Adverse birth outcomes among nulliparous vs. multiparous women. Public Health Reports 2011;126(6):797-805. R833293 (2010)
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  • Abstract: Public Health Reports-Abstract
  • Journal Article Miranda ML, Anthopolos R, Edwards SE. Seasonality of poor pregnancy outcomes in North Carolina. North Carolina Medical Journal 2011;72(6):447-453. R833293 (2010)
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  • Journal Article Miranda ML, Anthopolos R, Hastings D. A geospatial analysis of the effects of aviation gasoline on childhood blood lead levels. Environmental Health Perspectives 2011;119(10):1513-1516. R833293 (2011)
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  • Journal Article Miranda ML, Edwards SE, Anthopolos R, Dolinsky DH, Kemper AR. The built environment and childhood obesity in Durham, North Carolina. Clinical Pediatrics 2012;51(8):750-758. R833293 (2011)
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  • Journal Article Miranda ML, Messer LC, Kroeger GL. Associations between the quality of the residential built environment and pregnancy outcomes among women in North Carolina. Environmental Health Perspectives 2012;120(3):471-477. R833293 (2011)
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  • Journal Article Miranda ML, Edwards SE, Chang HH, Auten RL. Proximity to roadways and pregnancy outcomes. Journal of Exposure Science & Environmental Epidemiology 2013;23(1):32-38. R833293 (2011)
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  • Abstract: Nature-Abstract
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  • Journal Article Modlin E, Maxson P. Breaking the cycle of maternal depression: an initiative to improve children’s environmental health. International Journal of Child Health and Human Development 2010;3(4):405-411. R833293 (Final)
    R833293C004 (Final)
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  • Journal Article Montagna S, Tokdar ST, Neelon B, Dunson DB. Bayesian latent factor regression for functional and longitudinal data. Biometrics 2012;68(4):1064-1073. R833293 (2011)
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  • Abstract: Wiley-Abstract
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  • Journal Article Neelon B, Swamy GK, Burgette LF, Miranda ML. A Bayesian growth mixture model to examine maternal hypertension and birth outcomes. Statistics in Medicine 2011;30(22):2721-2735. R833293 (2010)
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  • Journal Article Neelon B, Anthopolos R, Miranda ML. A spatial bivariate probit model for correlated binary data with application to adverse birth outcomes. Statistical Methods in Medical Research 2014;23(2):119-133. R833293 (Final)
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  • Journal Article Neelon B, Gelfand AE, Miranda ML. A multivariate spatial mixture model for areal data: examining regional differences in standardized test scores. Journal of the Royal Statistical Societ--Series C (Applied Statistics) 2014;63(5):737-761. R833293 (Final)
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  • Other: University of Minnesota-Prepublication PDF
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  • Journal Article Ouyang R. The relationship between the built environment and birthweight. Reviews on Environmental Health 2011;26(3):181-186. R833293 (Final)
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  • Journal Article Sanders A, Smeester L, Rojas D, DeBussycher T, Wu M, Wright F, Zhou Y-H, Laine J, Rager J, Swamy G, Ashley-Koch A, Miranda ML, Fry R. Cadmium exposure and the epigenome: exposure-associated patterns of DNA methylation in leukocytes from mother-baby pairs. Epigenetics 2014;9(2):212-221. R833293 (Final)
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  • Journal Article Schwartz SL, Gelfand AE, Miranda ML. Joint Bayesian analysis of birthweight and censored gestational age using finite mixture models. Statistics in Medicine 2010;29(16):1710-1723. R833293 (2008)
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  • Journal Article Schwartz S, Li F, Reiter JP. Sensitivity analysis for unmeasured confounding in principal stratification settings with binary variables. Statistics in Medicine 2012;31(10):949-962. R833293 (2010)
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  • Journal Article Stapleton HM, Eagle S, Anthopolos R, Wolkin A, Miranda ML. Associations between polybrominated diphenyl ether (PBDE) flame retardants, phenolic metabolites, and thyroid hormones during pregnancy. Environmental Health Perspectives 2011;119(10):1454-1459. R833293 (2011)
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  • Journal Article Swamy GK, Garrett ME, Miranda ML, Ashley-Koch AE. Maternal vitamin D receptor genetic variation contributes to infant birthweight among black mothers. American Journal of Medical Genetics Part A 2011;155A(6):1264-1271. R833293 (2009)
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  • Journal Article Swamy GK, Edwards S, Gelfand A, James SA, Miranda ML. Maternal age, birth order, and race: differential effects on birthweight. Journal of Epidemiology and Community Health 2012;66(2):136-142. R833293 (2009)
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  • Journal Article Tassone EC, Miranda ML, Gelfand AE. Disaggregated spatial modelling for areal unit categorical data. Journal of the Royal Statistical Society--Series C (Applied Statistics) 2010;59(1):175-190. R833293 (2007)
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  • Journal Article Vinikoor-Imler LC, Gray SC, Edwards SE, Miranda ML. The effects of exposure to particulate matter and neighbourhood deprivation on gestational hypertension. Paediatric and Perinatal Epidemiology 2012;26(2):91-100. R833293 (2011)
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  • Journal Article Zhou X, Reiter JP. A note on Bayesian inference after multiple imputation. The American Statistician 2010;64(2):159-163. R833293 (2008)
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  • Journal Article Zhu B, Dunson DB, Ashley-Koch AE. Adverse subpopulation regression for multivariate outcomes with high-dimensional predictors. Statistics in Medicine 2012;31(29):4102-4113. R833293 (2011)
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  • Journal Article Zhu B, Ashley-Koch AE, Dunson DB. Generalized admixture mapping for complex traits. G3--Genes, Genomes, Genetics 2013;3(7):1165-1175. R833293 (2012)
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  • Journal Article Miranda ML, Anthopolos R, Wolkin A, Stapleton HM. Associations of birth outcomes with maternal polybrominated diphenyl ethers and thyroid hormones during pregnancy. Environment International 2015;85:244-253. R833293 (Final)
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  • Supplemental Keywords:

    Data fusion, meta analysis, disparities, spatial disaggregation, spatial interpolation, spatial modeling, racial residential segregation, pregnancy, preterm birth, low birth weight, racial disparity, African American, environmental stressors, gene-environment interactions, psychosocial stressors, genes, single nucleotide polymorphisms, genetic admixture, epigenetic, innate immunity, Nqo1

    Progress and Final Reports:

    Original Abstract
  • 2007 Progress Report
  • 2008 Progress Report
  • 2009 Progress Report
  • 2011 Progress Report
  • 2012 Progress Report
  • Final Report
  • Subprojects under this Center: (EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
    R833293C001 Research Project A: Mapping Disparities in Birth Outcomes
    R833293C002 Research Project B: Healthy Pregnancy, Healthy Baby: Studying Racial Disparities in Birth Outcomes
    R833293C003 Research Project C: Perinatal Environmental Exposure Disparity and Neonatal Respiratory Health
    R833293C004 Community Outreach and Translation Core
    R833293C005 Geographic Information System and Statistical Analysis Core