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Air pollution and autism in Denmark
BACKGROUND: Previous autism spectrum disorder (ASD) and air pollution studies focused on pregnancy exposures, but another vulnerable period is immediate postnatally. Here, we examined early life exposures to air pollution from the pre- to the postnatal period and ASD/ASD subtypes in the Danish popul...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6474375/ https://www.ncbi.nlm.nih.gov/pubmed/31008439 http://dx.doi.org/10.1097/EE9.0000000000000028 |
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author | Ritz, Beate Liew, Zeyan Yan, Qi Cuia, Xin Virk, Jasveer Ketzel, Matthias Raaschou-Nielsen, Ole |
author_facet | Ritz, Beate Liew, Zeyan Yan, Qi Cuia, Xin Virk, Jasveer Ketzel, Matthias Raaschou-Nielsen, Ole |
author_sort | Ritz, Beate |
collection | PubMed |
description | BACKGROUND: Previous autism spectrum disorder (ASD) and air pollution studies focused on pregnancy exposures, but another vulnerable period is immediate postnatally. Here, we examined early life exposures to air pollution from the pre- to the postnatal period and ASD/ASD subtypes in the Danish population. METHODS: With Danish registers, we conducted a nationwide case–control study of 15,387 children with ASD born 1989–2013 and 68,139 population controls matched by birth year and sex identified from the birth registry. We generated air dispersion geographic information system (AirGIS) model estimates for nitrogen dioxide (NO(2)), sulfur dioxide (SO(2)), particulate matter 2.5 (PM(2.5)), and particulate matter 10 (PM(10)) at mothers’ home from 9 months before to 9 months after pregnancy and calculated odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for parental age, neighborhood socioeconomic indicators, and maternal smoking using conditional logistic regression. RESULTS: In models that included all exposure periods, we estimated adjusted ORs for ASD per interquartile range (IQR) increase for 9 months after pregnancy with NO(2) of 1.08 (95% CI = 1.01, 1.15) and with PM(2.5) of 1.06 (95% CI = 1.01, 1.11); associations were smaller for PM(10) (1.04; 95% CI = 1.00, 1.09) and strongest for SO(2) (1.21; 95% CI = 1.13, 1.29). Also, associations for pollutants were stronger in more recent years (2000–2013) and in larger cities compared with provincial towns/rural counties. For particles and NO(2), associations were only specific to autism and Asperger diagnoses. CONCLUSIONS: Our data suggest that air pollutant exposure in early infancy but not during pregnancy increases the risk of being diagnosed with autism and Asperger among children born in Denmark. |
format | Online Article Text |
id | pubmed-6474375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Wolters Kluwer |
record_format | MEDLINE/PubMed |
spelling | pubmed-64743752019-04-19 Air pollution and autism in Denmark Ritz, Beate Liew, Zeyan Yan, Qi Cuia, Xin Virk, Jasveer Ketzel, Matthias Raaschou-Nielsen, Ole Environ Epidemiol Original Research BACKGROUND: Previous autism spectrum disorder (ASD) and air pollution studies focused on pregnancy exposures, but another vulnerable period is immediate postnatally. Here, we examined early life exposures to air pollution from the pre- to the postnatal period and ASD/ASD subtypes in the Danish population. METHODS: With Danish registers, we conducted a nationwide case–control study of 15,387 children with ASD born 1989–2013 and 68,139 population controls matched by birth year and sex identified from the birth registry. We generated air dispersion geographic information system (AirGIS) model estimates for nitrogen dioxide (NO(2)), sulfur dioxide (SO(2)), particulate matter 2.5 (PM(2.5)), and particulate matter 10 (PM(10)) at mothers’ home from 9 months before to 9 months after pregnancy and calculated odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for parental age, neighborhood socioeconomic indicators, and maternal smoking using conditional logistic regression. RESULTS: In models that included all exposure periods, we estimated adjusted ORs for ASD per interquartile range (IQR) increase for 9 months after pregnancy with NO(2) of 1.08 (95% CI = 1.01, 1.15) and with PM(2.5) of 1.06 (95% CI = 1.01, 1.11); associations were smaller for PM(10) (1.04; 95% CI = 1.00, 1.09) and strongest for SO(2) (1.21; 95% CI = 1.13, 1.29). Also, associations for pollutants were stronger in more recent years (2000–2013) and in larger cities compared with provincial towns/rural counties. For particles and NO(2), associations were only specific to autism and Asperger diagnoses. CONCLUSIONS: Our data suggest that air pollutant exposure in early infancy but not during pregnancy increases the risk of being diagnosed with autism and Asperger among children born in Denmark. Wolters Kluwer 2018-12 2018-12-12 /pmc/articles/PMC6474375/ /pubmed/31008439 http://dx.doi.org/10.1097/EE9.0000000000000028 Text en Copyright © 2018 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of Environmental Epidemiology. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially. |
spellingShingle | Original Research Ritz, Beate Liew, Zeyan Yan, Qi Cuia, Xin Virk, Jasveer Ketzel, Matthias Raaschou-Nielsen, Ole Air pollution and autism in Denmark |
title | Air pollution and autism in Denmark |
title_full | Air pollution and autism in Denmark |
title_fullStr | Air pollution and autism in Denmark |
title_full_unstemmed | Air pollution and autism in Denmark |
title_short | Air pollution and autism in Denmark |
title_sort | air pollution and autism in denmark |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6474375/ https://www.ncbi.nlm.nih.gov/pubmed/31008439 http://dx.doi.org/10.1097/EE9.0000000000000028 |
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