Abstract
Background
Preterm birth (PTB) and term low birth weight (LBW) have been associated with pollution and other environmental exposures, but the relationship between these adverse outcomes and specific characteristics of polluted sites is not well studied.
Objectives
We conducted a retrospective cohort study to examine relationships between residential proximity to polluted sites in North Carolina (NC) and PTB and LBW. We further stratified exposure to polluted sites by route of contaminant emissions and specific contaminants released at each site.
Methods
We created an integrated exposure geodatabase of polluted sites in NC from 2002 to 2015 including all landfills, Superfund sites, and industrial sites. Using birth certificates, we assembled a cohort of 1,494,651 singleton births in NC from 2003 to 2015. We geocoded the gestational parent residential address on the birth certificate, and defined exposure to polluted sites as residence within one mile of a site. We used log-binomial regression models to estimate adjusted risk ratios (aRR) and 95% confidence intervals (CI). Binomial models were used to estimate adjusted risk differences (aRD) per 10,000 births and 95% CIs for associations between exposure to polluted sites and PTB or LBW.
Results
We observed weak associations between residential proximity to polluted sites and PTB [aRR(95% CI): 1.07(1.06,1.09); aRD(95% CI): 61(48,74)] and LBW [aRR(95% CI): 1.09(1.06,1.12); aRD(95% CI): 24(17,31)]. Secondary analyses showed increased risk of both PTB and LBW among births exposed to sites characterized by water emissions, air emissions, and land impoundment. In analyses of specific contaminants, increased risk of PTB was associated with proximity to sites containing arsenic, benzene, cadmium, lead, mercury, and polycyclic aromatic hydrocarbons. LBW was associated with exposure to arsenic, benzene, cadmium, lead, and mercury.
Significance
This study provides evidence for potential reproductive health effects of polluted sites, and underscores the importance of accounting for heterogeneity between polluted sites when considering these exposures.
Impact statement
We documented an overall increased risk of both PTB and LBW in births with gestational exposure to polluted sites using a harmonized geodatabase of three site types, and further examined exposures stratified by site characteristics (route of emission, specific contaminants present). We observed increased risk of both PTB and LBW among births exposed to sites with water emissions or air emissions, across site types. Increased risk of PTB was associated with gestational proximity to sites containing arsenic, benzene, cadmium, lead, mercury, and polycyclic aromatic hydrocarbons; increased risk of LBW was associated with exposure to arsenic, benzene, cadmium, lead, and mercury.
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Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
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Acknowledgements
The authors would like to acknowledge the two EPA technical reviewers who read this manuscript and provided helpful feedback. CK was supported in part by training grant from the National Institute of Environmental Health Sciences [T32ES007018].
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CK, TD, and AO conceived and designed the study. NF and TL developed the administrative cohort and specified relevant covariate and outcome variables. CK conducted the analysis. CK, TD, AO, and TL interpreted the results. CK prepared the draft manuscript. TD, AO, TL, and NF reviewed the manuscript and provided substantial feedback. All authors reviewed the results and approved the final version of the manuscript.
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This study protocol was approved by the Institutional Review Boards of the University of North Carolina at Chapel Hill UNC (IRB Number: 09-0828) and the NC Division of Public Health. The EPA’s Human Subjects Research Officer also reviewed and approved this work (HSR-001254).
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Keeler, C., Luben, T.J., Forestieri, N. et al. Is residential proximity to polluted sites during pregnancy associated with preterm birth or low birth weight? Results from an integrated exposure database in North Carolina (2003–2015). J Expo Sci Environ Epidemiol 33, 229–236 (2023). https://doi.org/10.1038/s41370-022-00475-0
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DOI: https://doi.org/10.1038/s41370-022-00475-0