Maternal smoking and autism spectrum disorder: meta-analysis with population smoking metrics as moderators

Abstract While exposure to nicotine during developmental periods can significantly affect brain development, studies examining the association between maternal smoking and autism spectrum disorder (ASD) in offspring have produced conflicting findings, and prior meta-analyses have found no significan...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Yonwoo Jung, Angela M. Lee, Sherry A. McKee, Marina R. Picciotto
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
Materias:
R
Q
Acceso en línea:https://doaj.org/article/9c60e775136245069ec4c695fbdd24f0
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:9c60e775136245069ec4c695fbdd24f0
record_format dspace
spelling oai:doaj.org-article:9c60e775136245069ec4c695fbdd24f02021-12-02T11:52:35ZMaternal smoking and autism spectrum disorder: meta-analysis with population smoking metrics as moderators10.1038/s41598-017-04413-12045-2322https://doaj.org/article/9c60e775136245069ec4c695fbdd24f02017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04413-1https://doaj.org/toc/2045-2322Abstract While exposure to nicotine during developmental periods can significantly affect brain development, studies examining the association between maternal smoking and autism spectrum disorder (ASD) in offspring have produced conflicting findings, and prior meta-analyses have found no significant association. Our meta-analysis used a novel approach of investigating population-level smoking metrics as moderators. The main meta-analysis, with 22 observational studies comprising 795,632 cases and 1,829,256 control participants, used a random-effects model to find no significant association between maternal smoking during pregnancy and ASD in offspring (pooled odds ratio (OR) = 1.16, 95% CI: 0.97–1.40). However, meta-regression analyses with moderators were significant when we matched pooled ORs with adult male smoking prevalence (z = 2.55, p = 0.01) in each country, using World Health Organization data. Our study shows that using population-level smoking metrics uncovers significant relationships between maternal smoking and ASD risk. Correlational analyses show that male smoking prevalence approximates secondhand smoke exposure. While we cannot exclude the possibility that our findings reflect the role of paternal or postnatal nicotine exposure, as opposed to maternal or in utero nicotine exposure, this study underlines the importance of investigating paternal and secondhand smoking in addition to maternal smoking in ASD.Yonwoo JungAngela M. LeeSherry A. McKeeMarina R. PicciottoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yonwoo Jung
Angela M. Lee
Sherry A. McKee
Marina R. Picciotto
Maternal smoking and autism spectrum disorder: meta-analysis with population smoking metrics as moderators
description Abstract While exposure to nicotine during developmental periods can significantly affect brain development, studies examining the association between maternal smoking and autism spectrum disorder (ASD) in offspring have produced conflicting findings, and prior meta-analyses have found no significant association. Our meta-analysis used a novel approach of investigating population-level smoking metrics as moderators. The main meta-analysis, with 22 observational studies comprising 795,632 cases and 1,829,256 control participants, used a random-effects model to find no significant association between maternal smoking during pregnancy and ASD in offspring (pooled odds ratio (OR) = 1.16, 95% CI: 0.97–1.40). However, meta-regression analyses with moderators were significant when we matched pooled ORs with adult male smoking prevalence (z = 2.55, p = 0.01) in each country, using World Health Organization data. Our study shows that using population-level smoking metrics uncovers significant relationships between maternal smoking and ASD risk. Correlational analyses show that male smoking prevalence approximates secondhand smoke exposure. While we cannot exclude the possibility that our findings reflect the role of paternal or postnatal nicotine exposure, as opposed to maternal or in utero nicotine exposure, this study underlines the importance of investigating paternal and secondhand smoking in addition to maternal smoking in ASD.
format article
author Yonwoo Jung
Angela M. Lee
Sherry A. McKee
Marina R. Picciotto
author_facet Yonwoo Jung
Angela M. Lee
Sherry A. McKee
Marina R. Picciotto
author_sort Yonwoo Jung
title Maternal smoking and autism spectrum disorder: meta-analysis with population smoking metrics as moderators
title_short Maternal smoking and autism spectrum disorder: meta-analysis with population smoking metrics as moderators
title_full Maternal smoking and autism spectrum disorder: meta-analysis with population smoking metrics as moderators
title_fullStr Maternal smoking and autism spectrum disorder: meta-analysis with population smoking metrics as moderators
title_full_unstemmed Maternal smoking and autism spectrum disorder: meta-analysis with population smoking metrics as moderators
title_sort maternal smoking and autism spectrum disorder: meta-analysis with population smoking metrics as moderators
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/9c60e775136245069ec4c695fbdd24f0
work_keys_str_mv AT yonwoojung maternalsmokingandautismspectrumdisordermetaanalysiswithpopulationsmokingmetricsasmoderators
AT angelamlee maternalsmokingandautismspectrumdisordermetaanalysiswithpopulationsmokingmetricsasmoderators
AT sherryamckee maternalsmokingandautismspectrumdisordermetaanalysiswithpopulationsmokingmetricsasmoderators
AT marinarpicciotto maternalsmokingandautismspectrumdisordermetaanalysiswithpopulationsmokingmetricsasmoderators
_version_ 1718394999399251968