ArticleEnvironmental health : a global access science source2015
Air toxics and birth defects: a Bayesian hierarchical approach to evaluate multiple pollutants and spina bifida.
Article in Environmental health : a global access science source, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Maternal multivitamin supplementation mitigates the risk of fetal congenital heart disease associated with high indoor total volatile organic compounds exposure in east china: a case-control study.Environmental health : a global access science source · 2024Article
- Reproductive and developmental health effects of prenatal exposure to tetrachloroethylene-contaminated drinking water.Environmental science. Processes & impacts · 2020Article
- Choline, not folate, can attenuate the teratogenic effects ofdibutyl phthalate (DBP) during early chick embryo development.Environmental science and pollution research international · 2019Article
- Statistical Methodology in Studies of Prenatal Exposure to Mixtures of Endocrine-Disrupting Chemicals: A Review of Existing Approaches and New Alternatives.Environmental health perspectives · 2019Review
- The association between natural gas well activity and specific congenital anomalies in Oklahoma, 1997-2009.Environment international · 2019Article
- Environmental styrene exposure and neurologic symptoms in U.S. Gulf coast residents.Environment international · 2018Article
- Modeled exposure to tetrachloroethylene-contaminated drinking water and the occurrence of birth defects: a case-control study from Massachusetts and Rhode Island.Environmental health : a global access science source · 2018Article
- Association between benzene and congenital anomalies in Oklahoma, 1997-2009.Occupational and environmental medicine · 2018Article
- Trends in the Prevalences of Selected Birth Defects in Korea (2008⁻2014).International journal of environmental research and public health · 2018Article
- The East Palestine train derailment: A complex environmental disaster.Neurotoxicology and teratologyArticle
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Authors and funding
8 authors.
Funding
Abstract
backgroundWhile there is evidence that maternal exposure to benzene is associated with spina bifida in offspring, to our knowledge there have been no assessments to evaluate the role of multiple hazardous air pollutants (HAPs) simultaneously on the risk of this relatively common birth defect. In the current study, we evaluated the association between maternal exposure to HAPs identified by the United States Environmental Protection Agency (U.S. EPA) and spina bifida in offspring using hierarchical Bayesian modeling that includes Stochastic Search Variable Selection (SSVS).
methodsThe Texas Birth Defects Registry provided data on spina bifida cases delivered between 1999 and 2004. The control group was a random sample of unaffected live births, frequency matched to cases on year of birth. Census tract-level estimates of annual HAP levels were obtained from the U.S. EPA's 1999 Assessment System for Population Exposure Nationwide. Using the distribution among controls, exposure was categorized as high exposure (>95(th) percentile), medium exposure (5(th)-95(th) percentile), and low exposure (<5(th) percentile, reference). We used hierarchical Bayesian logistic regression models with SSVS to evaluate the association between HAPs and spina bifida by computing an odds ratio (OR) for each HAP using the posterior mean, and a 95% credible interval (CI) using the 2.5(th) and 97.5(th) quantiles of the posterior samples. Based on previous assessments, any pollutant with a Bayes factor greater than 1 was selected for inclusion in a final model.
resultsTwenty-five HAPs were selected in the final analysis to represent "bins" of highly correlated HAPs (ρ > 0.80). We identified two out of 25 HAPs with a Bayes factor greater than 1: quinoline (ORhigh = 2.06, 95% CI: 1.11-3.87, Bayes factor = 1.01) and trichloroethylene (ORmedium = 2.00, 95% CI: 1.14-3.61, Bayes factor = 3.79).
conclusionsOverall there is evidence that quinoline and trichloroethylene may be significant contributors to the risk of spina bifida. Additionally, the use of Bayesian hierarchical models with SSVS is an alternative approach in the evaluation of multiple environmental pollutants on disease risk. This approach can be easily extended to environmental exposures, where novel approaches are needed in the context of multi-pollutant modeling.
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