A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Prenatal exposure to tailpipe and non-tailpipe tracers of particulate matter pollution and autism spectrum disorders
https://orcid.org/0000-0001-6575-3482
https://orcid.org/0000-0001-6175-1818
https://orcid.org/0000-0002-0508-4552
https://orcid.org/0000-0001-6168-378X
https://orcid.org/0000-0003-2786-1268
Highlights Tailpipe tracers of PM2.5 (EC and OC) were associated with ASD in single pollutant models. Non-tailpipe tracers of PM2.5 (Cu, Fe and Mn) were associated with ASD in single pollutant models. Associations of Cu, Fe, and Mn were largely unchanged by adjusting for EC or OC. However, EC and OC associations were markedly attenuated by adjustment for non-tailpipe sources. Reducing tailpipe emissions may not eliminate ASD associations with traffic-related air pollution.
Abstract 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 (PM2.5) 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 PM2.5 and PM2.5 constituents EC, OC, Cu, Fe, and Mn with 4 km spatial resolution were obtained from a source-oriented chemical transport model. These exposures and NO2 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 PM2.5 and NO2 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 PM2.5, NO2, 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.
Prenatal exposure to tailpipe and non-tailpipe tracers of particulate matter pollution and autism spectrum disorders
https://orcid.org/0000-0001-6575-3482
https://orcid.org/0000-0001-6175-1818
https://orcid.org/0000-0002-0508-4552
https://orcid.org/0000-0001-6168-378X
https://orcid.org/0000-0003-2786-1268
Highlights Tailpipe tracers of PM2.5 (EC and OC) were associated with ASD in single pollutant models. Non-tailpipe tracers of PM2.5 (Cu, Fe and Mn) were associated with ASD in single pollutant models. Associations of Cu, Fe, and Mn were largely unchanged by adjusting for EC or OC. However, EC and OC associations were markedly attenuated by adjustment for non-tailpipe sources. Reducing tailpipe emissions may not eliminate ASD associations with traffic-related air pollution.
Abstract 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 (PM2.5) 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 PM2.5 and PM2.5 constituents EC, OC, Cu, Fe, and Mn with 4 km spatial resolution were obtained from a source-oriented chemical transport model. These exposures and NO2 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 PM2.5 and NO2 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 PM2.5, NO2, 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.
Prenatal exposure to tailpipe and non-tailpipe tracers of particulate matter pollution and autism spectrum disorders
https://orcid.org/0000-0001-6575-3482
https://orcid.org/0000-0001-6175-1818
https://orcid.org/0000-0002-0508-4552
https://orcid.org/0000-0001-6168-378X
https://orcid.org/0000-0003-2786-1268
Highlights Tailpipe tracers of PM2.5 (EC and OC) were associated with ASD in single pollutant models. Non-tailpipe tracers of PM2.5 (Cu, Fe and Mn) were associated with ASD in single pollutant models. Associations of Cu, Fe, and Mn were largely unchanged by adjusting for EC or OC. However, EC and OC associations were markedly attenuated by adjustment for non-tailpipe sources. Reducing tailpipe emissions may not eliminate ASD associations with traffic-related air pollution.
Abstract 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 (PM2.5) 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 PM2.5 and PM2.5 constituents EC, OC, Cu, Fe, and Mn with 4 km spatial resolution were obtained from a source-oriented chemical transport model. These exposures and NO2 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 PM2.5 and NO2 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 PM2.5, NO2, 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.
Prenatal exposure to tailpipe and non-tailpipe tracers of particulate matter pollution and autism spectrum disorders
Rahman, Md Mostafijur (author) / Carter, Sarah A. (author) / Lin, Jane C. (author) / Chow, Ting (author) / Yu, Xin (author) / Martinez, Mayra P. (author) / Levitt, Pat (author) / Chen, Zhanghua (author) / Chen, Jiu-Chiuan (author) / Rud, Daniel (author)
2023-01-04
Article (Journal)
Electronic Resource
English
| Taylor & Francis Verlag | 2009