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Prenatal exposure to tailpipe and non-tailpipe tracers of particulate matter pollution and autism spectrum disorders
BACKGROUND: Traffic-related air pollution exposure is associated with increased risk of autism spectrum disorder (ASD). It is unknown whether carbonaceous material from vehicular tailpipe emissions or redox-active non-tailpipe metals, eg. from tire and brake wear, are responsible. We assessed ASD as...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9943058/ https://www.ncbi.nlm.nih.gov/pubmed/36623380 http://dx.doi.org/10.1016/j.envint.2023.107736 |
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author | Rahman, Md Mostafijur Carter, Sarah A. Lin, Jane C. Chow, Ting Yu, Xin Martinez, Mayra P. Levitt, Pat Chen, Zhanghua Chen, Jiu-Chiuan Rud, Daniel Lewinger, Juan Pablo Eckel, Sandrah P. Schwartz, Joel Lurmann, Frederick W. Kleeman, Michael J. McConnell, Rob Xiang, Anny H. |
author_facet | Rahman, Md Mostafijur Carter, Sarah A. Lin, Jane C. Chow, Ting Yu, Xin Martinez, Mayra P. Levitt, Pat Chen, Zhanghua Chen, Jiu-Chiuan Rud, Daniel Lewinger, Juan Pablo Eckel, Sandrah P. Schwartz, Joel Lurmann, Frederick W. Kleeman, Michael J. McConnell, Rob Xiang, Anny H. |
author_sort | Rahman, Md Mostafijur |
collection | PubMed |
description | BACKGROUND: Traffic-related air pollution exposure is associated with increased risk of autism spectrum disorder (ASD). It is unknown whether carbonaceous material from vehicular tailpipe emissions or redox-active non-tailpipe metals, eg. from tire and brake wear, are responsible. We assessed ASD associations with fine particulate matter (PM(2.5)) tracers of tailpipe (elemental carbon [EC] and organic carbon [OC]) and non-tailpipe (copper [Cu]; iron [Fe] and manganese [Mn]) sources during pregnancy in a large cohort. METHODS: This retrospective cohort study included 318,750 children born in Kaiser Permanente Southern California (KPSC) hospitals during 2001–2014, followed until age 5. ASD cases were identified by ICD codes. Monthly estimates of PM(2.5) and PM(2.5) constituents EC, OC, Cu, Fe, and Mn with 4 km spatial resolution were obtained from a source-oriented chemical transport model. These exposures and NO(2) were assigned to each maternal address during pregnancy, and associations with ASD were assessed using Cox regression models adjusted for covariates. PM constituent effect estimates were adjusted for PM(2.5) and NO(2) to assess independent effects. To distinguish ASD risk associated with non-tailpipe from tailpipe sources, the associations with Cu, Fe, and Mn were adjusted for EC and OC, and vice versa. RESULTS: There were 4559 children diagnosed with ASD. In single-pollutant models, increased ASD risk was associated with gestational exposures to tracers of both tailpipe and non-tailpipe emissions. The ASD hazard ratios (HRs) per inter-quartile increment of exposure) for EC, OC, Cu, Fe, and Mn were 1.11 (95% CI: 1.06–1.16), 1.09 (95% CI: 1.04–1.15), 1.09 (95% CI: 1.04–1.13), 1.14 (95% CI: 1.09–1.20), and 1.17 (95% CI: 1.12–1.22), respectively. Estimated effects of Cu, Fe, and Mn (reflecting non-tailpipe sources) were largely unchanged in two-pollutant models adjusting for PM(2.5), NO(2), EC or OC. In contrast, ASD associations with EC and OC were markedly attenuated by adjustment for non-tailpipe sources. CONCLUSION: Results suggest that non-tailpipe emissions may contribute to ASD. Implications are that reducing tailpipe emissions, especially from vehicles with internal combustion engines, may not eliminate ASD associations with traffic-related air pollution. |
format | Online Article Text |
id | pubmed-9943058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
record_format | MEDLINE/PubMed |
spelling | pubmed-99430582023-02-21 Prenatal exposure to tailpipe and non-tailpipe tracers of particulate matter pollution and autism spectrum disorders Rahman, Md Mostafijur Carter, Sarah A. Lin, Jane C. Chow, Ting Yu, Xin Martinez, Mayra P. Levitt, Pat Chen, Zhanghua Chen, Jiu-Chiuan Rud, Daniel Lewinger, Juan Pablo Eckel, Sandrah P. Schwartz, Joel Lurmann, Frederick W. Kleeman, Michael J. McConnell, Rob Xiang, Anny H. Environ Int Article BACKGROUND: Traffic-related air pollution exposure is associated with increased risk of autism spectrum disorder (ASD). It is unknown whether carbonaceous material from vehicular tailpipe emissions or redox-active non-tailpipe metals, eg. from tire and brake wear, are responsible. We assessed ASD associations with fine particulate matter (PM(2.5)) tracers of tailpipe (elemental carbon [EC] and organic carbon [OC]) and non-tailpipe (copper [Cu]; iron [Fe] and manganese [Mn]) sources during pregnancy in a large cohort. METHODS: This retrospective cohort study included 318,750 children born in Kaiser Permanente Southern California (KPSC) hospitals during 2001–2014, followed until age 5. ASD cases were identified by ICD codes. Monthly estimates of PM(2.5) and PM(2.5) constituents EC, OC, Cu, Fe, and Mn with 4 km spatial resolution were obtained from a source-oriented chemical transport model. These exposures and NO(2) were assigned to each maternal address during pregnancy, and associations with ASD were assessed using Cox regression models adjusted for covariates. PM constituent effect estimates were adjusted for PM(2.5) and NO(2) to assess independent effects. To distinguish ASD risk associated with non-tailpipe from tailpipe sources, the associations with Cu, Fe, and Mn were adjusted for EC and OC, and vice versa. RESULTS: There were 4559 children diagnosed with ASD. In single-pollutant models, increased ASD risk was associated with gestational exposures to tracers of both tailpipe and non-tailpipe emissions. The ASD hazard ratios (HRs) per inter-quartile increment of exposure) for EC, OC, Cu, Fe, and Mn were 1.11 (95% CI: 1.06–1.16), 1.09 (95% CI: 1.04–1.15), 1.09 (95% CI: 1.04–1.13), 1.14 (95% CI: 1.09–1.20), and 1.17 (95% CI: 1.12–1.22), respectively. Estimated effects of Cu, Fe, and Mn (reflecting non-tailpipe sources) were largely unchanged in two-pollutant models adjusting for PM(2.5), NO(2), EC or OC. In contrast, ASD associations with EC and OC were markedly attenuated by adjustment for non-tailpipe sources. CONCLUSION: Results suggest that non-tailpipe emissions may contribute to ASD. Implications are that reducing tailpipe emissions, especially from vehicles with internal combustion engines, may not eliminate ASD associations with traffic-related air pollution. 2023-01 2023-01-05 /pmc/articles/PMC9943058/ /pubmed/36623380 http://dx.doi.org/10.1016/j.envint.2023.107736 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ). |
spellingShingle | Article Rahman, Md Mostafijur Carter, Sarah A. Lin, Jane C. Chow, Ting Yu, Xin Martinez, Mayra P. Levitt, Pat Chen, Zhanghua Chen, Jiu-Chiuan Rud, Daniel Lewinger, Juan Pablo Eckel, Sandrah P. Schwartz, Joel Lurmann, Frederick W. Kleeman, Michael J. McConnell, Rob Xiang, Anny H. Prenatal exposure to tailpipe and non-tailpipe tracers of particulate matter pollution and autism spectrum disorders |
title | Prenatal exposure to tailpipe and non-tailpipe tracers of particulate matter pollution and autism spectrum disorders |
title_full | Prenatal exposure to tailpipe and non-tailpipe tracers of particulate matter pollution and autism spectrum disorders |
title_fullStr | Prenatal exposure to tailpipe and non-tailpipe tracers of particulate matter pollution and autism spectrum disorders |
title_full_unstemmed | Prenatal exposure to tailpipe and non-tailpipe tracers of particulate matter pollution and autism spectrum disorders |
title_short | Prenatal exposure to tailpipe and non-tailpipe tracers of particulate matter pollution and autism spectrum disorders |
title_sort | prenatal exposure to tailpipe and non-tailpipe tracers of particulate matter pollution and autism spectrum disorders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9943058/ https://www.ncbi.nlm.nih.gov/pubmed/36623380 http://dx.doi.org/10.1016/j.envint.2023.107736 |
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