Grantee Research Project Results
2011 Progress Report: Southern Center on Environmentally-Driven Disparities in Birth Outcomes
EPA Grant Number: R833293Center: The Center for Study of Neurodevelopment and Improving Children's Health
Center Director: Murphy, Susan K.
Title: Southern Center on Environmentally-Driven Disparities in Birth Outcomes
Investigators: Miranda , Marie Lynn , Foster, W. Michael , Gelfand, Alan , Ashley-Koch, Allison , Gibson-Davis, Christina , Myers, Evan , Swamy, Geeta , Reiter, Jerome , Goodall, Jonathan , Tootoo, Joshua , Maxson, Pamela , Williams, Redford , Auten, Richard , James, Sherman
Current Investigators: Miranda , Marie Lynn , Ashley-Koch, Allison , Auten, Richard , Foster, W. Michael , Gelfand, Alan , Gibson-Davis, Christina , Goodall, Jonathan , James, Sherman , Reiter, Jerome , Swamy, Geeta , Williams, Redford , Keating, Martha H. , Maxson, Pamela
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, 2011 through April 30,2012
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 , Human Health
Objective:
Research Project A: Mapping Disparities in Birth Outcomes
The central objective of Project A is to determine whether and to what extent joint exposures to socioeconomic and environmental stressors contribute to racial and ethnic health disparities in fetal growth restriction. Using a geographically based nested study design moving from analysis of births for the entire State of North Carolina to six demographically and geographically distinct counties to a single health center and state-of-the-art Geographic Information Systems applications with Bayesian spatial hierarchical modeling and other advanced spatial statistical approaches, the specific aims are to:
- Spatially link detailed birth record, fetal death certificates, socioeconomic, environmental, tax assessor, community-based, and clinical obstetric data at highly resolved scales for the State of North Carolina from 1990-2003;
- Refine the concept of fetal growth restriction by a) developing a joint distribution for birthweight and gestation using bivariate modeling for live births and fetal deaths – both separately and jointly, and b) defining it in terms of fetal and infant mortality, rather than percentile cut points; and
- Determine whether and to what extent differential exposures to both environmental and social stressors help explain health disparities in fetal growth restriction among (a) African-American women compared to Non-Hispanic white and Hispanic women, (b) Older African-American women compared to younger African-American women, (c) Hispanic women compared to Non-Hispanic white and African-American women, and (d) Foreign born Hispanic women compared to US born Hispanic women.
Research Project B: Healthy Pregnancy, Healthy Baby: Studying Racial Disparities in Birth Outcomes
The central objective of the Healthy Pregnancy, Healthy Baby Study is to determine how the interaction of environmental, social, and host factors contributes to disparities in birth outcomes between African-American and white women in the American South. There are four specific aims:
- Conduct a cohort study of pregnant women in Durham, NC, designed to correlate birth weight, gestation, and birth weight x gestation with environmental, social, and host factors;
- Develop community-level measures of environmental and social factors by inventorying neighborhood quality and the built environment in partnership with local community groups;
- Create a comprehensive data architecture, spatially resolved at the tax parcel level, of environmental, social, and host factors affecting pregnant women by linking data from the cohort study and neighborhood assessments with additional environmental and socioeconomic data; and
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Determine whether and to what extent differential exposures explain health disparities in birth outcomes by applying innovative spatial and genetic statistical methods to:
- Identify environmental, social, and host factors that cluster to predict birth outcomes in the entire sample,
- Determine whether these clusters are more or less present in African-American versus white populations and quantify the proportion of health disparities explained by differences in cluster frequency, and
- Identify environmental, social, and host factors that cluster to predict birth outcomes within the African-American and white sub-samples and compare these clusters across racial groups.
Research Project C: Perinatal Environmental Exposure Disparity and Neonatal Respiratory Health
Objectives of Research: Specific Aims
- To determine whether maternal exposure to airborne particulates (PM) and/or ozone (1st hit) restricts fetal growth and/or postnatal growth, and impairs lung development/function in newborn mice;
- To determine whether PM and/or ozone exposure ‘re-programs’ maternal inflammatory responses;
- To determine whether postnatal (2nd hit) ozone exposure further impairs postnatal somatic and lung development/function following maternal PM and/or ozone exposures;
- To determine whether genetic or developmental susceptibility to airway hyperreactivity exacerbates maternal and/or postnatal exposure effects on postnatal somatic and lung development/function.
Progress Summary:
Research Project A: Mapping Disparities in Birth Outcomes
A continuing goal is the linking of the detailed birth record data to USEPA PM10, PM2.5, and ozone monitoring data in order to study the impact of maternal exposure to air pollution on birth weight. We are especially focused on refining exposure metrics to most effectively characterize meaningful exposures, as well as to capture any windows of vulnerability. Significant progress has been made on the relationship between birth outcomes and exposure to particulate matter and ozone separately, and the current focus is determining how to characterize joint exposure to both particulate matter and ozone.
Ongoing work has been devoted to a novel project concerned with connecting the built environment to adverse pregnancy outcomes. Built environment data has been collected under the Community Assessment Project and, after preliminary analysis has focused on spatial layers capturing four primary attributes of the built environment: housing damage, property disorder, tenure, and vacancy. Connection has been made to preterm birth and low birth weight.
Our work on racial residential segregation can be connected to measures of social and economic disadvantage at these scales to gain insight into how racial residential segregation has manifested itself across urban landscapes. In turn, this promises to reveal key insights into how to think about the spatial aspects of the social factors influencing health disparities. We are working to determine which facets of segregation best characterize the way community-level racial residential segregation acts to promote health disparities in birth outcomes, as well as how those facets correlate with environmental exposures and disamenities.
We continue to work on developing methods to look at environmental exposures and pregnancy outcomes. We are building spatial downscalers, which enable the fusion of monitoring station data with computer model output to better assess environmental exposure at point level spatial resolution. We are also looking at joint models for birthweight and gestational age using bivariate normal mixtures. Such joint modeling adjusts for maternal risk factors and provides mixture analysis of the residuals to help illuminate further subpopulations with differential risk for adverse joint birth outcomes. In addition, we have examined quantile regression methodology in explaining the effect of exposure on pregnancy outcomes. Rather than explaining mean birthweight as in customary regression models, we are interested in explaining quantiles for birthweight. Our analysis indicates that risk factors and environmental exposures affect different quantiles differently. We have also completed considerable methodological work on expected performance accruing to synthesizing categorical datasets with the objective of enhancing inference. We are particularly interested in how to deal with a collection of datasets of varying sizes that are all relevant to a particular scientific question, but which include different subsets of the relevant variables, with some overlap.
Research Project B: Healthy Pregnancy, Healthy Baby: Studying Racial Disparities in Birth Outcomes
As of 4/1/2012, 1889 women have been enrolled in the study. Women are recruited from Duke University Medical Center (DUMC) and Lincoln Community Health Center. Demographic data indicate that we are successfully recruiting women who are most at risk for adverse pregnancy outcomes, particularly low-income, low educational attainment, and non-Hispanic black women. Data collection is now complete.
All maternal data are georeferenced (i.e., linked to the physical address of the mother) using Esri software. The Healthy Pregnancy/Healthy Baby Study also includes an in-depth neighborhood assessment designed to capture both built environment and community-level social stressors and community resources. The cohort study and neighborhood assessment data are spatially linked to extensive environmental and demographic data at a highly resolved spatial scale.
Genetic Data and Analysis. This project focused on genetic analysis of candidate genes, specifically those involving human environmental contaminant clearance (heavy metals and environmental tobacco smoke), infection and inflammation (cytokines, chemokines, and bacterial pathogen recognition), maternal stress response (serotonin), and other pathways that have been implicated as potential drivers of health disparities (vascular responsivity). To date, we have genotyped 412 Single Nucleotide Polymorphisms (SNPs) in fifty-two candidate genes. This past year, we focused on completing the genotyping of those SNPs in the samples which had been most recently ascertained.
Psychosocial Indicators. Analyses have been completed on psychosocial influences on birth outcomes. In order to reduce the number of psychosocial variables, cluster analysis has been performed, resulting in three distinct clusters of women. A paper examining the relationship between the built environment as measured through the Community Assessment Project and women’s psychosocial health was published in year 5. Future analyses will continue with a focus on the relationships among psychosocial health, risk behaviors, chemical and non-chemical stressors, and pregnancy outcomes.
Maternal Medical Complications. Fetal health is not only individually determined, but is also influenced by maternal health and well-being. This past year, we put additional emphasis on maternal outcomes.
Statistical Methods Development. We developed several new statistical methodologies designed to improve analysis of the Project B data, as well as to advance statistical analysis more broadly. First, we developed and implemented methods for finding important predictors in quantile regression when there are a very large number of covariates. These methods adapted the lasso and elastic net penalties for quantile regression. We applied the methods on a mid-study sample of women to uncover a previously unreported interaction: women who smoke and who have high blood lead levels tend to have babies with lower birth weights. Second, we developed and implemented methods for using factor analysis models in the context of quantile regression. The investigative team believes that many of the predictors can be grouped into underlying factors. Third, we developed and implemented methods for accounting for mid-study changes in measurement scales. These methods were needed because the Project B investigators switched laboratories for measuring blood levels of heavy metals midway through data collection in order to take advantage of finer measurement scales. Exploratory analysis indicated that the distributions of levels for several exposures were markedly different across the labs, so that analyses based on a simple concatenation of the two labs’ data would be biased. We also developed a Bayesian growth mixture model to jointly examine the associations between longitudinal blood pressure measurements, preterm birth (PTB), and low birthweight (LBW). The model partitions women into distinct classes characterized by a mean arterial pressure (MAP) curve and joint probabilities of PTB and LBW. Each class contains a unique mixed effects model for MAP with class-specific regression coefficients and random effect covariances. To account for the high correlation between PTB and LBW, we introduce a bivariate probit model within each class to capture residual within-class dependence between PTB and LBW. The model permits the association between PTB and LBW to vary by class, so that for some classes, PTB and LBW may be positively correlated, while for others, they may be uncorrelated or negatively correlated.
We also focused statistical methods development on the genetic data. The first statistical innovation involving the genetic data is the adverse sub-population regression (ASPR) for multivariate outcomes with high dimensional predictors. The ASPR is a two component latent class model, with the dominant component corresponding to (presumed) healthy individuals and the risk of falling in the minority component characterized via a logistic regression. The logistic regression model is designed to accommodate high-dimensional predictors, as occur in studies with a large number of gene by environment interactions, through use of a flexible nonparametric multiple shrinkage approach. The Gibbs sampler is developed for posterior computation.
Research Project C: Perinatal Environmental Exposure Disparity and Neonatal Respiratory Health
For Aim 4, we have distinguished the fetal versus maternal immune responses required for effects of maternal diesel exhaust (or diesel particle instillation) exposure on the induction of fetal pro-inflammatory cytokines in fetal lung, brain, and in placenta.
- Our studies on the neural contribution of persistent airway hyperreactivity in newborn mice exposed to environmentally relevant concentrations of ozone have shown that the muscarinic receptor pathway is unaffected, and that the effects are likely relevant to alterations in airway epithelial integrity, since the ozone effects on airway mechanics are apparent with inhaled methacholine challenge, but not apparent with intravenous acetylcholine challenge. The persistence of the epithelial impairment into adulthood well beyond recovery from the intermittent sub-chronic neonatal/juvenile exposures is highly relevant to the potential contribution to susceptibility in adults, which we are now evaluating. We are also examining the afferent neural plasticity in ozone exposed newborns as a potential contributor in collaboration with Dr. David Jacoby at Oregon Health Sciences University. This work has been submitted for publication.
- We have tested the contribution of fetal inflammation provoked by maternal diesel inhalation to susceptibility to obesity in adult mice. Diesel exposure of pregnant dams produced obese male offspring reared on a normal diet. If mice were given a high-fat diet, mice born to diesel -exposed dams had more obesity, insulin resistance, and males had higher evidence of anxiety.
Future Activities:
Research Project A: Mapping Disparities in Birth Outcomes
We plan to continue working on each of the areas described in the progress report/summary of accomplishments section. Achieving a better understanding of exposure to air toxicants, particularly particulate matter and ozone, is a central focus of our future efforts. We continue the process of linking participants in Project B with their associated birth certificate record. This linkage allows us to explore issues of data accuracy in the detailed birth record, as well as to begin implementing the methods of synthesizing categorical data.
Research Project B: Healthy Pregnancy, Healthy Baby: Studying Racial Disparities in Birth Outcomes
In the next year, we will focus on data analysis and further statistical methods innovation. Our overall goal is to identify complex interactions among host, social, and environmental contributors. With the data collection complete, we will are well-positioned to examine and identify combinations of factors that lead to health disparities in birth outcomes. We are particularly interested in identifying chemical and non-chemical environmental risk factors given that they are actionable to improve birth outcomes.
Research Project C: Perinatal Environmental Exposure Disparity and Neonatal Respiratory Health
- Delineation of the epigenetic mechanisms that underlie the inter-generational burden of perinatal exposure to atmospheric pollutants on juvenile and adult health, in the context of post-natal co-exposures to adverse diet, air pollutants, inflammatory challenges.
- Identification of the mechanisms of interaction between co-exposure agents during perinatal life that affect respiratory and cognitive development during juvenile development.
- Identify the mechanism underlying the long-term impairment of airway epithelial integrity that follows perinatal and neonatal air pollutant exposures.
Journal Articles: 76 Displayed | Download in RIS Format
Other center views: | All 163 publications | 77 publications in selected types | All 76 journal articles |
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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) R833293 (2010) R833293 (2011) R833293 (Final) R833293C001 (2010) R833293C001 (2011) R833293C001 (Final) |
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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) R833293 (Final) R833293C001 (Final) |
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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) R833293C001 (Final) |
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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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Auten RL, Foster WM. Biochemical effects of ozone on asthma during postnatal development. Biochimica et Biophysica Acta 2011;1810(11):1114-1119. |
R833293 (2009) R833293 (2010) R833293 (Final) R833293C003 (2010) R833293C003 (Final) |
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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) R833293 (Final) R833293C001 (Final) |
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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) R833293 (Final) R833293C001 (2009) R833293C001 (Final) |
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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) R833293 (2010) R833293 (2011) R833293 (Final) R833293C001 (2010) R833293C001 (2011) R833293C001 (Final) |
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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) R833293 (2012) R833293 (Final) R833293C001 (2011) R833293C001 (Final) |
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Berrocal VJ, Miranda ML, Gelfand AE, Bhattacharya S. Synthesizing categorical datasets to enhance inference. Statistical Methodology 2013;15:25-45. |
R833293 (2007) R833293 (2012) R833293 (Final) R833293C001 (Final) |
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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) R833293 (2012) R833293 (Final) R833293C003 (2011) R833293C003 (Final) |
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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) R833293 (Final) R833293C003 (2011) R833293C003 (Final) |
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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) R833293 (Final) R833293C003 (Final) |
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Bolton J, Auten R, Bilbo S. Prenatal air pollution exposure induces sexually dimorphic fetal programming of metabolic and neuroinflammatory outcomes in adult offspring. BRAIN BEHAVIOR AND IMMUNITY 2014;37:30-44. |
R833293 (Final) |
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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) R833293 (2008) R833293 (Final) R833293C003 (Final) |
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Burgette LF, Reiter JP. Multiple imputation for missing data via sequential regression trees. American Journal of Epidemiology 2010;172(9):1070-1076. |
R833293 (2008) R833293 (2009) R833293 (2010) R833293 (Final) R833293C002 (2009) R833293C002 (2010) R833293C002 (Final) |
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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) R833293 (2011) R833293 (Final) R833293C002 (2010) R833293C002 (2011) R833293C002 (Final) |
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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) R833293 (2011) R833293 (Final) R833293C002 (2010) R833293C002 (2011) R833293C002 (Final) |
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Burgette LF, Reiter JP. Modeling adverse birth outcomes via confirmatory factor quantile regression. Biometrics 2012;68(1):92-100. |
R833293 (2010) R833293 (2011) R833293 (Final) R833293C002 (2010) R833293C002 (2011) R833293C002 (Final) |
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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) R833293 (Final) R833293C002 (2011) R833293C002 (Final) |
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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) R833293 (Final) R833293C002 (2011) R833293C002 (Final) |
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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) R833293 (2011) R833293 (Final) R833293C001 (2010) R833293C001 (2011) R833293C001 (Final) R833293C002 (2011) R833293C002 (Final) R833863 (2011) |
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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) R833293 (2012) R833293 (Final) R833293C001 (2011) R833293C001 (Final) R833293C002 (2011) R833293C002 (Final) R834799 (2014) R834799 (2016) R834799 (Final) R834799C002 (2014) R834799C003 (2013) R834799C003 (2014) |
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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) R833293C004 (Final) |
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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) R833293C001 (Final) |
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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) R833293 (2009) R833293 (2010) R833293 (Final) R833293C001 (2009) R833293C001 (2010) R833293C001 (Final) |
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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) R833293 (2011) R833293 (Final) R833293C001 (2010) R833293C001 (2011) R833293C001 (Final) |
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Gray SC, Edwards SE, Miranda ML. Race, socioeconomic status, and air pollution exposure in North Carolina. Environmental Research 2013;126:152-158. |
R833293 (2012) R833293 (Final) R833293C001 (Final) |
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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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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) R833293 (Final) R833293C001 (Final) |
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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) R833293C004 (Final) |
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Heaton MJ, Gray SC, Gelfand AE. Process modeling for contingency tables with ordered categories. Statistical Modelling 2012;12(3):211-228. |
R833293 (Final) R833293C001 (Final) |
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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) R833293C004 (Final) |
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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) R833293C004 (Final) |
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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) R829213 (Final) |
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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) R833293C004 (Final) |
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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) R833293C004 (Final) |
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Lum K, Gelfand AE. Spatial quantile multiple regression using the asymmetric Laplace process. Bayesian Analysis 2012;7(2):235-258. |
R833293 (2011) R833293 (Final) R833293C001 (2011) R833293C001 (Final) |
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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) R833293C004 (Final) |
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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) R833293 (Final) R833293C002 (2011) R833293C002 (Final) |
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Maxson PJ. Together we can break the cycle. International Journal on Disability and Human Development 2012;11(4):307-314. |
R833293 (Final) R833293C004 (Final) |
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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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Maxson P, Miranda ML. Pregnancy intention, demographic differences, and psychosocial health. Journal of Women's Health 2011;20(8):1215-1223. |
R833293 (2010) R833293 (2011) R833293 (Final) R833293C002 (2010) R833293C002 (2011) R833293C002 (Final) |
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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) R833293 (2012) R833293 (Final) R833293C002 (2011) R833293C002 (Final) |
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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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Miranda ML, Maxson P, Edwards S. Environmental contributions to disparities in pregnancy outcomes. Epidemiologic Reviews 2009;31(1):67-83. |
R833293 (2008) R833293 (Final) R833293C001 (Final) |
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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) R833293 (2009) R833293 (2010) R833293 (Final) R833293C002 (2009) R833293C002 (2010) R833293C002 (Final) |
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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) R833293 (2009) R833293 (2010) R833293 (Final) R833293C001 (2009) R833293C001 (2010) R833293C001 (Final) |
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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) R833293 (Final) R833293C001 (2009) R833293C001 (Final) |
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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) R833293 (Final) R833293C001 (2011) R833293C001 (Final) |
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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) R833293 (Final) R833293C002 (2010) R833293C002 (Final) |
Exit Exit |
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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) R833293 (Final) R833293C001 (2011) R833293C001 (Final) |
Exit Exit |
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Miranda ML, Edwards SE, Myers ER. Adverse birth outcomes among nulliparous vs. multiparous women. Public Health Reports 2011;126(6):797-805. |
R833293 (2010) R833293 (2011) R833293 (Final) R833293C001 (2010) R833293C001 (2011) R833293C001 (Final) |
Exit |
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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) R833293 (2011) R833293 (Final) R833293C001 (2010) R833293C001 (2011) R833293C001 (Final) |
Exit Exit Exit |
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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) R833293 (Final) R833293C001 (2011) R833293C001 (Final) |
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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) R833293 (Final) R833293C001 (2011) R833293C001 (Final) |
Exit |
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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) R833293 (Final) R833293C001 (2011) R833293C001 (Final) |
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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) R833293 (2012) R833293 (Final) R833293C001 (2011) R833293C001 (Final) R833293C002 (2011) R833293C002 (Final) R833293C003 (2011) R833293C003 (Final) |
Exit Exit |
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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) |
Exit |
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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) R833293 (2012) R833293 (Final) R833293C001 (2011) R833293C001 (Final) |
Exit Exit Exit |
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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) R833293 (2011) R833293 (Final) R833293C001 (2011) R833293C001 (Final) R833293C002 (2010) R833293C002 (2011) R833293C002 (Final) |
Exit |
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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) R833293C001 (Final) |
Exit |
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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) R833293C001 (Final) R833293C002 (Final) |
Exit Exit |
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Ouyang R. The relationship between the built environment and birthweight. Reviews on Environmental Health 2011;26(3):181-186. |
R833293 (Final) R833293C004 (Final) |
Exit |
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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) R833293C002 (Final) |
Exit Exit |
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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) R833293 (2009) R833293 (2010) R833293 (Final) R833293C001 (2009) R833293C001 (2010) R833293C001 (Final) R833293C002 (Final) |
Exit Exit |
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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) R833293 (2011) R833293 (Final) R833293C002 (2010) R833293C002 (2011) R833293C002 (Final) |
Exit |
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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) R833293 (Final) R833293C002 (2011) R833293C002 (Final) |
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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) R833293 (2010) R833293 (2011) R833293 (Final) R833293C002 (2010) R833293C002 (2011) R833293C002 (Final) |
Exit |
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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) R833293 (2010) R833293 (2011) R833293 (Final) R833293C001 (2010) R833293C001 (Final) R833293C002 (2011) R833293C002 (Final) |
Exit |
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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) R833293 (2008) R833293 (2009) R833293 (Final) R833293C001 (2009) R833293C001 (Final) |
Exit Exit Exit |
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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) R833293 (Final) R833293C001 (2011) R833293C001 (Final) |
Exit Exit |
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Zhou X, Reiter JP. A note on Bayesian inference after multiple imputation. The American Statistician 2010;64(2):159-163. |
R833293 (2008) R833293 (2009) R833293 (Final) R833293C002 (2009) R833293C002 (Final) |
Exit Exit |
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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) R833293 (2012) R833293 (Final) R833293C002 (2011) R833293C002 (Final) |
Exit Exit |
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Zhu B, Ashley-Koch AE, Dunson DB. Generalized admixture mapping for complex traits. G3--Genes, Genomes, Genetics 2013;3(7):1165-1175. |
R833293 (2012) R833293 (Final) R833293C002 (Final) |
Exit Exit Exit |
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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) R833293C002 (Final) |
Exit Exit Exit |
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, neuroinflammation
Relevant Websites:
http://cehi.snre.umich.edu/projects/sceddbo Exit
Progress and Final Reports:
Original Abstract 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
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
- 2012 Progress Report
- 2010 Progress Report
- 2009 Progress Report
- 2008 Progress Report
- 2007 Progress Report
- Original Abstract
76 journal articles for this center