4.7 Article

Does maternal exposure to benzene and PM10 during pregnancy increase the risk of congenital anomalies? A population-based case-control study

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 541, 期 -, 页码 444-450

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.scitotenv.2015.09.051

关键词

Birth defects; Air pollution; PM10; Benzene; Epidemiology; Case-control study

资金

  1. Local Health Unit of Reggio Emilia
  2. Fondazione Pietro Manodori di Reggio Emilia
  3. US National Institute of Health [R21CA175959, R03ES021643]

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A few studies have suggested an association between maternal exposure to ambient air pollution from vehicular traffic and risk of congenital anomalies in the offspring, but epidemiologic evidence is neither strong nor entirely consistent. In a population-based case-control study in a Northern Italy community encompassing 228 cases of birth defects and 228 referent newborns, we investigated if maternal exposure to PM10 and benzene from vehicular traffic during early pregnancy, as estimated through a dispersion model, was associated with excess teratogenic risk. In conditional logistic regression analysis, and with adjustment for the other pollutant, we found that higher exposure to PM10 but not benzene was associated with increased risk of birth defects overall. Anomaly categories showing the strongest dose-response relation with PM10 exposure were musculoskeletal and chromosomal abnormalities but not cardiovascular defects, with Down syndrome being among the specific abnormalities showing the strongest association, though risk estimates particularly for the less frequent defects were statistically very unstable. Further adjustment in the regression model for potential confounders did not considerably alter the results. All the associations were stronger for average levels of PM10 than for their maximal level. Findings of this study give some support for an excess teratogenic risk following maternal exposure during pregnancy to PM10, but not benzene. Such association appears to be limited to some birth defect categories. (C) 2015 Elsevier B.V. All rights reserved.

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