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Birth seasonality and risk of autism spectrum disorder
Season of birth has been hypothesized to be a risk factor for autism spectrum disorder (ASD). However, the evidence has been mixed and limited due to methodological challenges. We examine ASD birth trends for 5,464,628 births across 5 countries. ASD birth prevalence data were obtained from the Inter...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602987/ https://www.ncbi.nlm.nih.gov/pubmed/30891686 http://dx.doi.org/10.1007/s10654-019-00506-5 |
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author | Lee, Brian K. Gross, Raz Francis, Richard W. Karlsson, Håkan Schendel, Diana E. Sourander, Andre Reichenberg, Abraham Parner, Erik T. Hornig, Mady Yaniv, Amit Leonard, Helen Sandin, Sven |
author_facet | Lee, Brian K. Gross, Raz Francis, Richard W. Karlsson, Håkan Schendel, Diana E. Sourander, Andre Reichenberg, Abraham Parner, Erik T. Hornig, Mady Yaniv, Amit Leonard, Helen Sandin, Sven |
author_sort | Lee, Brian K. |
collection | PubMed |
description | Season of birth has been hypothesized to be a risk factor for autism spectrum disorder (ASD). However, the evidence has been mixed and limited due to methodological challenges. We examine ASD birth trends for 5,464,628 births across 5 countries. ASD birth prevalence data were obtained from the International Collaboration for Autism Registry Epidemiology database, including children born in Denmark, Finland, Norway, Sweden, and Western Australia. Empirical mode decomposition and cosinor modeling were used to assess seasonality. We show seasonal variation in ASD births for the countries of Finland and Sweden. There was a modest increase in risk for children born in the fall and a modest decrease in risk for children born in the spring. Solar radiation levels around conception and the postnatal period were inversely correlated with seasonal trends in ASD risk. In the first multinational study of birth seasonality of ASD, there was evidence supporting the presence of seasonal trends in Finland and Sweden. The observations that risk was highest for fall births (i.e., conceived in the winter) and lowest for spring births (i.e., conceived in the summer), and sunlight levels during critical neurodevelopmental periods explained much of the seasonal trends, are consistent with the hypothesis that a seasonally fluctuating risk factor may influence risk of ASD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10654-019-00506-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6602987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-66029872019-07-18 Birth seasonality and risk of autism spectrum disorder Lee, Brian K. Gross, Raz Francis, Richard W. Karlsson, Håkan Schendel, Diana E. Sourander, Andre Reichenberg, Abraham Parner, Erik T. Hornig, Mady Yaniv, Amit Leonard, Helen Sandin, Sven Eur J Epidemiol Psychiatric Epidemiology Season of birth has been hypothesized to be a risk factor for autism spectrum disorder (ASD). However, the evidence has been mixed and limited due to methodological challenges. We examine ASD birth trends for 5,464,628 births across 5 countries. ASD birth prevalence data were obtained from the International Collaboration for Autism Registry Epidemiology database, including children born in Denmark, Finland, Norway, Sweden, and Western Australia. Empirical mode decomposition and cosinor modeling were used to assess seasonality. We show seasonal variation in ASD births for the countries of Finland and Sweden. There was a modest increase in risk for children born in the fall and a modest decrease in risk for children born in the spring. Solar radiation levels around conception and the postnatal period were inversely correlated with seasonal trends in ASD risk. In the first multinational study of birth seasonality of ASD, there was evidence supporting the presence of seasonal trends in Finland and Sweden. The observations that risk was highest for fall births (i.e., conceived in the winter) and lowest for spring births (i.e., conceived in the summer), and sunlight levels during critical neurodevelopmental periods explained much of the seasonal trends, are consistent with the hypothesis that a seasonally fluctuating risk factor may influence risk of ASD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10654-019-00506-5) contains supplementary material, which is available to authorized users. Springer Netherlands 2019-03-20 2019 /pmc/articles/PMC6602987/ /pubmed/30891686 http://dx.doi.org/10.1007/s10654-019-00506-5 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Psychiatric Epidemiology Lee, Brian K. Gross, Raz Francis, Richard W. Karlsson, Håkan Schendel, Diana E. Sourander, Andre Reichenberg, Abraham Parner, Erik T. Hornig, Mady Yaniv, Amit Leonard, Helen Sandin, Sven Birth seasonality and risk of autism spectrum disorder |
title | Birth seasonality and risk of autism spectrum disorder |
title_full | Birth seasonality and risk of autism spectrum disorder |
title_fullStr | Birth seasonality and risk of autism spectrum disorder |
title_full_unstemmed | Birth seasonality and risk of autism spectrum disorder |
title_short | Birth seasonality and risk of autism spectrum disorder |
title_sort | birth seasonality and risk of autism spectrum disorder |
topic | Psychiatric Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602987/ https://www.ncbi.nlm.nih.gov/pubmed/30891686 http://dx.doi.org/10.1007/s10654-019-00506-5 |
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