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The global prevalence of autism spectrum disorder: A three-level meta-analysis

Autism spectrum disorder (ASD) is one the most disabling developmental disorders, imposing an extremely high economic burden. Obtaining as accurate prevalence estimates as possible is crucial to guide governments in planning policies for identification and intervention for individuals with ASD and t...

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Autores principales: Talantseva, Oksana I., Romanova, Raisa S., Shurdova, Ekaterina M., Dolgorukova, Tatiana A., Sologub, Polina S., Titova, Olga S., Kleeva, Daria F., Grigorenko, Elena L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947250/
https://www.ncbi.nlm.nih.gov/pubmed/36846240
http://dx.doi.org/10.3389/fpsyt.2023.1071181
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author Talantseva, Oksana I.
Romanova, Raisa S.
Shurdova, Ekaterina M.
Dolgorukova, Tatiana A.
Sologub, Polina S.
Titova, Olga S.
Kleeva, Daria F.
Grigorenko, Elena L.
author_facet Talantseva, Oksana I.
Romanova, Raisa S.
Shurdova, Ekaterina M.
Dolgorukova, Tatiana A.
Sologub, Polina S.
Titova, Olga S.
Kleeva, Daria F.
Grigorenko, Elena L.
author_sort Talantseva, Oksana I.
collection PubMed
description Autism spectrum disorder (ASD) is one the most disabling developmental disorders, imposing an extremely high economic burden. Obtaining as accurate prevalence estimates as possible is crucial to guide governments in planning policies for identification and intervention for individuals with ASD and their relatives. The precision of prevalence estimates can be heightened by summative analyses of the data collected around the world. To that end, we conducted a three-level mixed-effects meta-analysis. A systematic search of the Web of Science, PubMed, EMBASE, and PsycINFO databases from 2000 up to 13 July 2020 was performed, and reference lists of previous reviews and existing databases of prevalence studies were screened. Overall, 79 studies were included in the analysis of ASD and 59–in the analysis of previously existing relevant diagnoses: 30 for Autistic Disorder (AD), 15 for Asperger Syndrome (AS), and 14 for Atypical Autism (AA) and Pervasive Developmental Disorder - Not Otherwise Specified (PDD-NOS); these research reports covered the period from 1994 to 2019. Pooled prevalence estimates were 0.72% (95% CI = 0.61–0.85) for ASD, 0.25% (95% CI = 0.18–0.33) for AD, 0.13% (95% CI = 0.07–0.20) for AS, and 0.18% (95% CI = 0.10–0.28) for the combined group of AA and PDD-NOS. Estimates were higher (1) for the studies that used records-review surveillance rather than other designs; (2) in North America compared with other geographical regions; and (3) in high-income compared with lower-income countries. The highest prevalence estimates were registered in the USA. There was an increase in autism prevalence estimates over time. The prevalence was also significantly higher for children aged between 6 and 12 years compared to children under the age of 5 and over the age of 13 years. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019131525, identifier CRD42019131525.
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spelling pubmed-99472502023-02-24 The global prevalence of autism spectrum disorder: A three-level meta-analysis Talantseva, Oksana I. Romanova, Raisa S. Shurdova, Ekaterina M. Dolgorukova, Tatiana A. Sologub, Polina S. Titova, Olga S. Kleeva, Daria F. Grigorenko, Elena L. Front Psychiatry Psychiatry Autism spectrum disorder (ASD) is one the most disabling developmental disorders, imposing an extremely high economic burden. Obtaining as accurate prevalence estimates as possible is crucial to guide governments in planning policies for identification and intervention for individuals with ASD and their relatives. The precision of prevalence estimates can be heightened by summative analyses of the data collected around the world. To that end, we conducted a three-level mixed-effects meta-analysis. A systematic search of the Web of Science, PubMed, EMBASE, and PsycINFO databases from 2000 up to 13 July 2020 was performed, and reference lists of previous reviews and existing databases of prevalence studies were screened. Overall, 79 studies were included in the analysis of ASD and 59–in the analysis of previously existing relevant diagnoses: 30 for Autistic Disorder (AD), 15 for Asperger Syndrome (AS), and 14 for Atypical Autism (AA) and Pervasive Developmental Disorder - Not Otherwise Specified (PDD-NOS); these research reports covered the period from 1994 to 2019. Pooled prevalence estimates were 0.72% (95% CI = 0.61–0.85) for ASD, 0.25% (95% CI = 0.18–0.33) for AD, 0.13% (95% CI = 0.07–0.20) for AS, and 0.18% (95% CI = 0.10–0.28) for the combined group of AA and PDD-NOS. Estimates were higher (1) for the studies that used records-review surveillance rather than other designs; (2) in North America compared with other geographical regions; and (3) in high-income compared with lower-income countries. The highest prevalence estimates were registered in the USA. There was an increase in autism prevalence estimates over time. The prevalence was also significantly higher for children aged between 6 and 12 years compared to children under the age of 5 and over the age of 13 years. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019131525, identifier CRD42019131525. Frontiers Media S.A. 2023-02-09 /pmc/articles/PMC9947250/ /pubmed/36846240 http://dx.doi.org/10.3389/fpsyt.2023.1071181 Text en Copyright © 2023 Talantseva, Romanova, Shurdova, Dolgorukova, Sologub, Titova, Kleeva and Grigorenko. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Talantseva, Oksana I.
Romanova, Raisa S.
Shurdova, Ekaterina M.
Dolgorukova, Tatiana A.
Sologub, Polina S.
Titova, Olga S.
Kleeva, Daria F.
Grigorenko, Elena L.
The global prevalence of autism spectrum disorder: A three-level meta-analysis
title The global prevalence of autism spectrum disorder: A three-level meta-analysis
title_full The global prevalence of autism spectrum disorder: A three-level meta-analysis
title_fullStr The global prevalence of autism spectrum disorder: A three-level meta-analysis
title_full_unstemmed The global prevalence of autism spectrum disorder: A three-level meta-analysis
title_short The global prevalence of autism spectrum disorder: A three-level meta-analysis
title_sort global prevalence of autism spectrum disorder: a three-level meta-analysis
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947250/
https://www.ncbi.nlm.nih.gov/pubmed/36846240
http://dx.doi.org/10.3389/fpsyt.2023.1071181
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