Loading…

Air Pollution during Pregnancy and Childhood Autism Spectrum Disorder in Taiwan

Air pollutants have been linked to some diseases in humans, but their effects on the nervous system were less frequently evaluated. Autism spectrum disorder (ASD) is a group of neurondevelopmental disorders of which the etiology is still unknown. We conducted a study in Taiwan to evaluate the possib...

Full description

Saved in:
Bibliographic Details
Published in:International journal of environmental research and public health 2021-09, Vol.18 (18), p.9784
Main Authors: Wang, Shu-Yuan, Cheng, Ya-Yun, Guo, How-Ran, Tseng, Yen-Cheng
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c395t-8752a6c1238929b2d9ac4e27a73deb8437eb031822824d9b14631bbd8ec172993
cites cdi_FETCH-LOGICAL-c395t-8752a6c1238929b2d9ac4e27a73deb8437eb031822824d9b14631bbd8ec172993
container_end_page
container_issue 18
container_start_page 9784
container_title International journal of environmental research and public health
container_volume 18
creator Wang, Shu-Yuan
Cheng, Ya-Yun
Guo, How-Ran
Tseng, Yen-Cheng
description Air pollutants have been linked to some diseases in humans, but their effects on the nervous system were less frequently evaluated. Autism spectrum disorder (ASD) is a group of neurondevelopmental disorders of which the etiology is still unknown. We conducted a study in Taiwan to evaluate the possible associations between prenatal exposure to air pollutants and ASD. From a random sample of one million people in the National Insurance Research Database, we identified all the infants born between 1996 and 2000. We followed them till the end of 2013 and identified cases of ASD. We traced back the mothers’ residence and assessed the exposure to air pollutants using the data obtained from the air quality monitoring database maintained by the government, which included ozone (O3), carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), and particulate matters with diameter less than 10 µm (PM10). Cox proportional hazard models were constructed to evaluate the associations between childhood ASD and exposures to the pollutants in the three trimesters and the whole gestation. We identified a total of 63,376 newborns and included 62,919 as the study cohort. After adjusting for other risk factors, we observed trimester-specific associations between levels of CO, NO2, and PM10 and the risk of childhood ASD. An increase of 1 ppm of CO in the first, second, and third trimester was associated with a hazard ratio (HR) of 1.93 (95% confidence interval [CI]: 1.55–2.39), 1.77 (95%CI: 1.41–2.22), and 1.75 (95%CI: 1.39–2.21), respectively. An increase of 10 ppb in the level of NO2 in the first, second, and third trimester was associated with an HR of 1.39 (95%CI: 1.22–1.58), 1.25 (95%CI: 1.10–1.42), and 1.18 (95%CI: 1.03–1.34), respectively. In conclusion, we found that exposures to CO and NO2 in all three trimesters were associated with increased risks of developing ASD.
doi_str_mv 10.3390/ijerph18189784
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8467611</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2577455312</sourcerecordid><originalsourceid>FETCH-LOGICAL-c395t-8752a6c1238929b2d9ac4e27a73deb8437eb031822824d9b14631bbd8ec172993</originalsourceid><addsrcrecordid>eNpdkUtLAzEUhYMoPqpb1wE3bqp5TR4bodQnFBTUdcgkaZsyk9RkRvHfO6Ui6upeuB-Hc88B4BSjC0oVugwrn9dLLLFUQrIdcIg5R2PGEd79tR-Ao1JWCFHJuNoHB5RVggmMDsHjJGT4lJqm70KK0PU5xAV8yn4RTbSf0EQHp8vQuGVKDk4GqrTwee1tl_sWXoeSsvMZhghfTPgw8RjszU1T_Mn3HIHX25uX6f149nj3MJ3MxpaqqhtLURHDLSZUKqJq4pSxzBNhBHW-lowKXyOKJSGSMKdqzDjFde2kt1gQpegIXG11133demd97LJp9DqH1uRPnUzQfy8xLPUiveshAcExHgTOvwVyeut96XQbivVNY6JPfdGkEoJVFR0sjsDZP3SV-hyH9zYUZ1gIygfqYkvZnErJfv5jBiO96Ur_7Yp-AZLXhqY</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2576417736</pqid></control><display><type>article</type><title>Air Pollution during Pregnancy and Childhood Autism Spectrum Disorder in Taiwan</title><source>Publicly Available Content Database</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Wang, Shu-Yuan ; Cheng, Ya-Yun ; Guo, How-Ran ; Tseng, Yen-Cheng</creator><creatorcontrib>Wang, Shu-Yuan ; Cheng, Ya-Yun ; Guo, How-Ran ; Tseng, Yen-Cheng</creatorcontrib><description>Air pollutants have been linked to some diseases in humans, but their effects on the nervous system were less frequently evaluated. Autism spectrum disorder (ASD) is a group of neurondevelopmental disorders of which the etiology is still unknown. We conducted a study in Taiwan to evaluate the possible associations between prenatal exposure to air pollutants and ASD. From a random sample of one million people in the National Insurance Research Database, we identified all the infants born between 1996 and 2000. We followed them till the end of 2013 and identified cases of ASD. We traced back the mothers’ residence and assessed the exposure to air pollutants using the data obtained from the air quality monitoring database maintained by the government, which included ozone (O3), carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), and particulate matters with diameter less than 10 µm (PM10). Cox proportional hazard models were constructed to evaluate the associations between childhood ASD and exposures to the pollutants in the three trimesters and the whole gestation. We identified a total of 63,376 newborns and included 62,919 as the study cohort. After adjusting for other risk factors, we observed trimester-specific associations between levels of CO, NO2, and PM10 and the risk of childhood ASD. An increase of 1 ppm of CO in the first, second, and third trimester was associated with a hazard ratio (HR) of 1.93 (95% confidence interval [CI]: 1.55–2.39), 1.77 (95%CI: 1.41–2.22), and 1.75 (95%CI: 1.39–2.21), respectively. An increase of 10 ppb in the level of NO2 in the first, second, and third trimester was associated with an HR of 1.39 (95%CI: 1.22–1.58), 1.25 (95%CI: 1.10–1.42), and 1.18 (95%CI: 1.03–1.34), respectively. In conclusion, we found that exposures to CO and NO2 in all three trimesters were associated with increased risks of developing ASD.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph18189784</identifier><identifier>PMID: 34574710</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Air monitoring ; Air pollution ; Air quality ; Autism ; Carbon monoxide ; Childhood ; Children ; Confidence intervals ; Disease ; Etiology ; Evaluation ; Exposure ; Gestation ; Health insurance ; National insurance ; Neonates ; Nervous system ; Nitrogen dioxide ; Particulate matter ; Pollutants ; Pollution monitoring ; Pregnancy ; Premature birth ; Prenatal experience ; Prenatal exposure ; Risk analysis ; Risk factors ; Statistical models ; Sulfur ; Sulfur dioxide</subject><ispartof>International journal of environmental research and public health, 2021-09, Vol.18 (18), p.9784</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c395t-8752a6c1238929b2d9ac4e27a73deb8437eb031822824d9b14631bbd8ec172993</citedby><cites>FETCH-LOGICAL-c395t-8752a6c1238929b2d9ac4e27a73deb8437eb031822824d9b14631bbd8ec172993</cites><orcidid>0000-0003-3343-3446 ; 0000-0003-2571-4707 ; 0000-0001-7655-6513</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2576417736/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2576417736?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25752,27923,27924,37011,37012,44589,53790,53792,74897</link.rule.ids></links><search><creatorcontrib>Wang, Shu-Yuan</creatorcontrib><creatorcontrib>Cheng, Ya-Yun</creatorcontrib><creatorcontrib>Guo, How-Ran</creatorcontrib><creatorcontrib>Tseng, Yen-Cheng</creatorcontrib><title>Air Pollution during Pregnancy and Childhood Autism Spectrum Disorder in Taiwan</title><title>International journal of environmental research and public health</title><description>Air pollutants have been linked to some diseases in humans, but their effects on the nervous system were less frequently evaluated. Autism spectrum disorder (ASD) is a group of neurondevelopmental disorders of which the etiology is still unknown. We conducted a study in Taiwan to evaluate the possible associations between prenatal exposure to air pollutants and ASD. From a random sample of one million people in the National Insurance Research Database, we identified all the infants born between 1996 and 2000. We followed them till the end of 2013 and identified cases of ASD. We traced back the mothers’ residence and assessed the exposure to air pollutants using the data obtained from the air quality monitoring database maintained by the government, which included ozone (O3), carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), and particulate matters with diameter less than 10 µm (PM10). Cox proportional hazard models were constructed to evaluate the associations between childhood ASD and exposures to the pollutants in the three trimesters and the whole gestation. We identified a total of 63,376 newborns and included 62,919 as the study cohort. After adjusting for other risk factors, we observed trimester-specific associations between levels of CO, NO2, and PM10 and the risk of childhood ASD. An increase of 1 ppm of CO in the first, second, and third trimester was associated with a hazard ratio (HR) of 1.93 (95% confidence interval [CI]: 1.55–2.39), 1.77 (95%CI: 1.41–2.22), and 1.75 (95%CI: 1.39–2.21), respectively. An increase of 10 ppb in the level of NO2 in the first, second, and third trimester was associated with an HR of 1.39 (95%CI: 1.22–1.58), 1.25 (95%CI: 1.10–1.42), and 1.18 (95%CI: 1.03–1.34), respectively. In conclusion, we found that exposures to CO and NO2 in all three trimesters were associated with increased risks of developing ASD.</description><subject>Air monitoring</subject><subject>Air pollution</subject><subject>Air quality</subject><subject>Autism</subject><subject>Carbon monoxide</subject><subject>Childhood</subject><subject>Children</subject><subject>Confidence intervals</subject><subject>Disease</subject><subject>Etiology</subject><subject>Evaluation</subject><subject>Exposure</subject><subject>Gestation</subject><subject>Health insurance</subject><subject>National insurance</subject><subject>Neonates</subject><subject>Nervous system</subject><subject>Nitrogen dioxide</subject><subject>Particulate matter</subject><subject>Pollutants</subject><subject>Pollution monitoring</subject><subject>Pregnancy</subject><subject>Premature birth</subject><subject>Prenatal experience</subject><subject>Prenatal exposure</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Statistical models</subject><subject>Sulfur</subject><subject>Sulfur dioxide</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdkUtLAzEUhYMoPqpb1wE3bqp5TR4bodQnFBTUdcgkaZsyk9RkRvHfO6Ui6upeuB-Hc88B4BSjC0oVugwrn9dLLLFUQrIdcIg5R2PGEd79tR-Ao1JWCFHJuNoHB5RVggmMDsHjJGT4lJqm70KK0PU5xAV8yn4RTbSf0EQHp8vQuGVKDk4GqrTwee1tl_sWXoeSsvMZhghfTPgw8RjszU1T_Mn3HIHX25uX6f149nj3MJ3MxpaqqhtLURHDLSZUKqJq4pSxzBNhBHW-lowKXyOKJSGSMKdqzDjFde2kt1gQpegIXG11133demd97LJp9DqH1uRPnUzQfy8xLPUiveshAcExHgTOvwVyeut96XQbivVNY6JPfdGkEoJVFR0sjsDZP3SV-hyH9zYUZ1gIygfqYkvZnErJfv5jBiO96Ur_7Yp-AZLXhqY</recordid><startdate>20210917</startdate><enddate>20210917</enddate><creator>Wang, Shu-Yuan</creator><creator>Cheng, Ya-Yun</creator><creator>Guo, How-Ran</creator><creator>Tseng, Yen-Cheng</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3343-3446</orcidid><orcidid>https://orcid.org/0000-0003-2571-4707</orcidid><orcidid>https://orcid.org/0000-0001-7655-6513</orcidid></search><sort><creationdate>20210917</creationdate><title>Air Pollution during Pregnancy and Childhood Autism Spectrum Disorder in Taiwan</title><author>Wang, Shu-Yuan ; Cheng, Ya-Yun ; Guo, How-Ran ; Tseng, Yen-Cheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c395t-8752a6c1238929b2d9ac4e27a73deb8437eb031822824d9b14631bbd8ec172993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Air monitoring</topic><topic>Air pollution</topic><topic>Air quality</topic><topic>Autism</topic><topic>Carbon monoxide</topic><topic>Childhood</topic><topic>Children</topic><topic>Confidence intervals</topic><topic>Disease</topic><topic>Etiology</topic><topic>Evaluation</topic><topic>Exposure</topic><topic>Gestation</topic><topic>Health insurance</topic><topic>National insurance</topic><topic>Neonates</topic><topic>Nervous system</topic><topic>Nitrogen dioxide</topic><topic>Particulate matter</topic><topic>Pollutants</topic><topic>Pollution monitoring</topic><topic>Pregnancy</topic><topic>Premature birth</topic><topic>Prenatal experience</topic><topic>Prenatal exposure</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Statistical models</topic><topic>Sulfur</topic><topic>Sulfur dioxide</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Shu-Yuan</creatorcontrib><creatorcontrib>Cheng, Ya-Yun</creatorcontrib><creatorcontrib>Guo, How-Ran</creatorcontrib><creatorcontrib>Tseng, Yen-Cheng</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Shu-Yuan</au><au>Cheng, Ya-Yun</au><au>Guo, How-Ran</au><au>Tseng, Yen-Cheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Air Pollution during Pregnancy and Childhood Autism Spectrum Disorder in Taiwan</atitle><jtitle>International journal of environmental research and public health</jtitle><date>2021-09-17</date><risdate>2021</risdate><volume>18</volume><issue>18</issue><spage>9784</spage><pages>9784-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>Air pollutants have been linked to some diseases in humans, but their effects on the nervous system were less frequently evaluated. Autism spectrum disorder (ASD) is a group of neurondevelopmental disorders of which the etiology is still unknown. We conducted a study in Taiwan to evaluate the possible associations between prenatal exposure to air pollutants and ASD. From a random sample of one million people in the National Insurance Research Database, we identified all the infants born between 1996 and 2000. We followed them till the end of 2013 and identified cases of ASD. We traced back the mothers’ residence and assessed the exposure to air pollutants using the data obtained from the air quality monitoring database maintained by the government, which included ozone (O3), carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), and particulate matters with diameter less than 10 µm (PM10). Cox proportional hazard models were constructed to evaluate the associations between childhood ASD and exposures to the pollutants in the three trimesters and the whole gestation. We identified a total of 63,376 newborns and included 62,919 as the study cohort. After adjusting for other risk factors, we observed trimester-specific associations between levels of CO, NO2, and PM10 and the risk of childhood ASD. An increase of 1 ppm of CO in the first, second, and third trimester was associated with a hazard ratio (HR) of 1.93 (95% confidence interval [CI]: 1.55–2.39), 1.77 (95%CI: 1.41–2.22), and 1.75 (95%CI: 1.39–2.21), respectively. An increase of 10 ppb in the level of NO2 in the first, second, and third trimester was associated with an HR of 1.39 (95%CI: 1.22–1.58), 1.25 (95%CI: 1.10–1.42), and 1.18 (95%CI: 1.03–1.34), respectively. In conclusion, we found that exposures to CO and NO2 in all three trimesters were associated with increased risks of developing ASD.</abstract><cop>Basel</cop><pub>MDPI AG</pub><pmid>34574710</pmid><doi>10.3390/ijerph18189784</doi><orcidid>https://orcid.org/0000-0003-3343-3446</orcidid><orcidid>https://orcid.org/0000-0003-2571-4707</orcidid><orcidid>https://orcid.org/0000-0001-7655-6513</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1660-4601
ispartof International journal of environmental research and public health, 2021-09, Vol.18 (18), p.9784
issn 1660-4601
1661-7827
1660-4601
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8467611
source Publicly Available Content Database; PubMed Central; Free Full-Text Journals in Chemistry
subjects Air monitoring
Air pollution
Air quality
Autism
Carbon monoxide
Childhood
Children
Confidence intervals
Disease
Etiology
Evaluation
Exposure
Gestation
Health insurance
National insurance
Neonates
Nervous system
Nitrogen dioxide
Particulate matter
Pollutants
Pollution monitoring
Pregnancy
Premature birth
Prenatal experience
Prenatal exposure
Risk analysis
Risk factors
Statistical models
Sulfur
Sulfur dioxide
title Air Pollution during Pregnancy and Childhood Autism Spectrum Disorder in Taiwan
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T15%3A44%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Air%20Pollution%20during%20Pregnancy%20and%20Childhood%20Autism%20Spectrum%20Disorder%20in%20Taiwan&rft.jtitle=International%20journal%20of%20environmental%20research%20and%20public%20health&rft.au=Wang,%20Shu-Yuan&rft.date=2021-09-17&rft.volume=18&rft.issue=18&rft.spage=9784&rft.pages=9784-&rft.issn=1660-4601&rft.eissn=1660-4601&rft_id=info:doi/10.3390/ijerph18189784&rft_dat=%3Cproquest_pubme%3E2577455312%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c395t-8752a6c1238929b2d9ac4e27a73deb8437eb031822824d9b14631bbd8ec172993%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2576417736&rft_id=info:pmid/34574710&rfr_iscdi=true