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A Systematic Review and Meta-Analysis of Multiple Airborne Pollutants and Autism Spectrum Disorder
BACKGROUND: Exposure to ambient air pollution is widespread and may be detrimental to human brain development and a potential risk factor for Autism Spectrum Disorder (ASD). We conducted a systematic review of the human evidence on the relationship between ASD and exposure to all airborne pollutants...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031428/ https://www.ncbi.nlm.nih.gov/pubmed/27653281 http://dx.doi.org/10.1371/journal.pone.0161851 |
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author | Lam, Juleen Sutton, Patrice Kalkbrenner, Amy Windham, Gayle Halladay, Alycia Koustas, Erica Lawler, Cindy Davidson, Lisette Daniels, Natalyn Newschaffer, Craig Woodruff, Tracey |
author_facet | Lam, Juleen Sutton, Patrice Kalkbrenner, Amy Windham, Gayle Halladay, Alycia Koustas, Erica Lawler, Cindy Davidson, Lisette Daniels, Natalyn Newschaffer, Craig Woodruff, Tracey |
author_sort | Lam, Juleen |
collection | PubMed |
description | BACKGROUND: Exposure to ambient air pollution is widespread and may be detrimental to human brain development and a potential risk factor for Autism Spectrum Disorder (ASD). We conducted a systematic review of the human evidence on the relationship between ASD and exposure to all airborne pollutants, including particulate matter air pollutants and others (e.g. pesticides and metals). OBJECTIVE: To answer the question: “is developmental exposure to air pollution associated with ASD?” METHODS: We conducted a comprehensive search of the literature, identified relevant studies using inclusion/exclusion criteria pre-specified in our protocol (registered in PROSPERO, CRD # 42015017890), evaluated the potential risk of bias for each included study and identified an appropriate subset of studies to combine in a meta-analysis. We then rated the overall quality and strength of the evidence collectively across all air pollutants. RESULTS: Of 1,158 total references identified, 23 human studies met our inclusion criteria (17 case-control, 4 ecological, 2 cohort). Risk of bias was generally low across studies for most domains; study limitations were related to potential confounding and accuracy of exposure assessment methods. We rated the quality of the body of evidence across all air pollutants as “moderate.” From our meta-analysis, we found statistically significant summary odds ratios (ORs) of 1.07 (95% CI: 1.06, 1.08) per 10-μg/m(3) increase in PM(10) exposure (n = 6 studies) and 2.32 (95% CI: 2.15, 2.51) per 10-μg/m(3) increase in PM(2.5) exposure (n = 3 studies). For pollutants not included in a meta-analysis, we collectively evaluated evidence from each study in rating the strength and quality of overall evidence considering factors such as inconsistency, imprecision, and evidence of dose-response. All included studies generally showed increased risk of ASD with increasing exposure to air pollution, although not consistently across all chemical components. CONCLUSION: After considering strengths and limitations of the body of research, we concluded that there is “limited evidence of toxicity” for the association between early life exposure to air pollution as a whole and diagnosis of ASD. The strongest evidence was between prenatal exposure to particulate matter and ASD. However, the small number of studies in the meta-analysis and unexplained statistical heterogeneity across the individual study estimates means that the effect could be larger or smaller (including not significant) than these studies estimate. Our research supports the need for health protective public policy to reduce exposures to harmful airborne contaminants among pregnant women and children and suggests opportunities for optimizing future research. |
format | Online Article Text |
id | pubmed-5031428 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50314282016-10-10 A Systematic Review and Meta-Analysis of Multiple Airborne Pollutants and Autism Spectrum Disorder Lam, Juleen Sutton, Patrice Kalkbrenner, Amy Windham, Gayle Halladay, Alycia Koustas, Erica Lawler, Cindy Davidson, Lisette Daniels, Natalyn Newschaffer, Craig Woodruff, Tracey PLoS One Research Article BACKGROUND: Exposure to ambient air pollution is widespread and may be detrimental to human brain development and a potential risk factor for Autism Spectrum Disorder (ASD). We conducted a systematic review of the human evidence on the relationship between ASD and exposure to all airborne pollutants, including particulate matter air pollutants and others (e.g. pesticides and metals). OBJECTIVE: To answer the question: “is developmental exposure to air pollution associated with ASD?” METHODS: We conducted a comprehensive search of the literature, identified relevant studies using inclusion/exclusion criteria pre-specified in our protocol (registered in PROSPERO, CRD # 42015017890), evaluated the potential risk of bias for each included study and identified an appropriate subset of studies to combine in a meta-analysis. We then rated the overall quality and strength of the evidence collectively across all air pollutants. RESULTS: Of 1,158 total references identified, 23 human studies met our inclusion criteria (17 case-control, 4 ecological, 2 cohort). Risk of bias was generally low across studies for most domains; study limitations were related to potential confounding and accuracy of exposure assessment methods. We rated the quality of the body of evidence across all air pollutants as “moderate.” From our meta-analysis, we found statistically significant summary odds ratios (ORs) of 1.07 (95% CI: 1.06, 1.08) per 10-μg/m(3) increase in PM(10) exposure (n = 6 studies) and 2.32 (95% CI: 2.15, 2.51) per 10-μg/m(3) increase in PM(2.5) exposure (n = 3 studies). For pollutants not included in a meta-analysis, we collectively evaluated evidence from each study in rating the strength and quality of overall evidence considering factors such as inconsistency, imprecision, and evidence of dose-response. All included studies generally showed increased risk of ASD with increasing exposure to air pollution, although not consistently across all chemical components. CONCLUSION: After considering strengths and limitations of the body of research, we concluded that there is “limited evidence of toxicity” for the association between early life exposure to air pollution as a whole and diagnosis of ASD. The strongest evidence was between prenatal exposure to particulate matter and ASD. However, the small number of studies in the meta-analysis and unexplained statistical heterogeneity across the individual study estimates means that the effect could be larger or smaller (including not significant) than these studies estimate. Our research supports the need for health protective public policy to reduce exposures to harmful airborne contaminants among pregnant women and children and suggests opportunities for optimizing future research. Public Library of Science 2016-09-21 /pmc/articles/PMC5031428/ /pubmed/27653281 http://dx.doi.org/10.1371/journal.pone.0161851 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Lam, Juleen Sutton, Patrice Kalkbrenner, Amy Windham, Gayle Halladay, Alycia Koustas, Erica Lawler, Cindy Davidson, Lisette Daniels, Natalyn Newschaffer, Craig Woodruff, Tracey A Systematic Review and Meta-Analysis of Multiple Airborne Pollutants and Autism Spectrum Disorder |
title | A Systematic Review and Meta-Analysis of Multiple Airborne Pollutants and Autism Spectrum Disorder |
title_full | A Systematic Review and Meta-Analysis of Multiple Airborne Pollutants and Autism Spectrum Disorder |
title_fullStr | A Systematic Review and Meta-Analysis of Multiple Airborne Pollutants and Autism Spectrum Disorder |
title_full_unstemmed | A Systematic Review and Meta-Analysis of Multiple Airborne Pollutants and Autism Spectrum Disorder |
title_short | A Systematic Review and Meta-Analysis of Multiple Airborne Pollutants and Autism Spectrum Disorder |
title_sort | systematic review and meta-analysis of multiple airborne pollutants and autism spectrum disorder |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031428/ https://www.ncbi.nlm.nih.gov/pubmed/27653281 http://dx.doi.org/10.1371/journal.pone.0161851 |
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