Cargando…
A Meta-analysis of Outcome Studies of Autistic Adults: Quantifying Effect Size, Quality, and Meta-regression
Longitudinal studies have generally reported poor outcomes in adulthood for the majority of individuals (c.50–60%) with autism. Several factors putatively predict outcome (e.g. IQ), but findings remain mixed. This paper presents an updated meta-analysis of autism outcome studies and extends previous...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349337/ https://www.ncbi.nlm.nih.gov/pubmed/33200352 http://dx.doi.org/10.1007/s10803-020-04763-2 |
_version_ | 1783735547869528064 |
---|---|
author | Mason, David Capp, Simone J. Stewart, Gavin R. Kempton, Matthew J. Glaser, Karen Howlin, Patricia Happé, Francesca |
author_facet | Mason, David Capp, Simone J. Stewart, Gavin R. Kempton, Matthew J. Glaser, Karen Howlin, Patricia Happé, Francesca |
author_sort | Mason, David |
collection | PubMed |
description | Longitudinal studies have generally reported poor outcomes in adulthood for the majority of individuals (c.50–60%) with autism. Several factors putatively predict outcome (e.g. IQ), but findings remain mixed. This paper presents an updated meta-analysis of autism outcome studies and extends previous findings with additional analyses (including meta-regression). A total of 4088 records was screened and 18 studies, involving 1199 individuals, were included in the quantitative analysis. Estimated percentages indicated that 20.0% of participants were rated as having a good outcome, 26.6% a fair outcome, and 49.3% a poor outcome. Meta-regression indicated that lower IQ in adulthood was predictive of poor outcome; other meta-regression models did not survive correction for multiple comparisons. Overall, outcomes for autistic people are on average poor, and higher IQ appears to be protective against having a poor outcome. The limitations of current constructs of outcome are discussed. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10803-020-04763-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-8349337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-83493372021-08-20 A Meta-analysis of Outcome Studies of Autistic Adults: Quantifying Effect Size, Quality, and Meta-regression Mason, David Capp, Simone J. Stewart, Gavin R. Kempton, Matthew J. Glaser, Karen Howlin, Patricia Happé, Francesca J Autism Dev Disord Original Paper Longitudinal studies have generally reported poor outcomes in adulthood for the majority of individuals (c.50–60%) with autism. Several factors putatively predict outcome (e.g. IQ), but findings remain mixed. This paper presents an updated meta-analysis of autism outcome studies and extends previous findings with additional analyses (including meta-regression). A total of 4088 records was screened and 18 studies, involving 1199 individuals, were included in the quantitative analysis. Estimated percentages indicated that 20.0% of participants were rated as having a good outcome, 26.6% a fair outcome, and 49.3% a poor outcome. Meta-regression indicated that lower IQ in adulthood was predictive of poor outcome; other meta-regression models did not survive correction for multiple comparisons. Overall, outcomes for autistic people are on average poor, and higher IQ appears to be protective against having a poor outcome. The limitations of current constructs of outcome are discussed. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10803-020-04763-2) contains supplementary material, which is available to authorized users. Springer US 2020-11-17 2021 /pmc/articles/PMC8349337/ /pubmed/33200352 http://dx.doi.org/10.1007/s10803-020-04763-2 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Mason, David Capp, Simone J. Stewart, Gavin R. Kempton, Matthew J. Glaser, Karen Howlin, Patricia Happé, Francesca A Meta-analysis of Outcome Studies of Autistic Adults: Quantifying Effect Size, Quality, and Meta-regression |
title | A Meta-analysis of Outcome Studies of Autistic Adults: Quantifying Effect Size, Quality, and Meta-regression |
title_full | A Meta-analysis of Outcome Studies of Autistic Adults: Quantifying Effect Size, Quality, and Meta-regression |
title_fullStr | A Meta-analysis of Outcome Studies of Autistic Adults: Quantifying Effect Size, Quality, and Meta-regression |
title_full_unstemmed | A Meta-analysis of Outcome Studies of Autistic Adults: Quantifying Effect Size, Quality, and Meta-regression |
title_short | A Meta-analysis of Outcome Studies of Autistic Adults: Quantifying Effect Size, Quality, and Meta-regression |
title_sort | meta-analysis of outcome studies of autistic adults: quantifying effect size, quality, and meta-regression |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349337/ https://www.ncbi.nlm.nih.gov/pubmed/33200352 http://dx.doi.org/10.1007/s10803-020-04763-2 |
work_keys_str_mv | AT masondavid ametaanalysisofoutcomestudiesofautisticadultsquantifyingeffectsizequalityandmetaregression AT cappsimonej ametaanalysisofoutcomestudiesofautisticadultsquantifyingeffectsizequalityandmetaregression AT stewartgavinr ametaanalysisofoutcomestudiesofautisticadultsquantifyingeffectsizequalityandmetaregression AT kemptonmatthewj ametaanalysisofoutcomestudiesofautisticadultsquantifyingeffectsizequalityandmetaregression AT glaserkaren ametaanalysisofoutcomestudiesofautisticadultsquantifyingeffectsizequalityandmetaregression AT howlinpatricia ametaanalysisofoutcomestudiesofautisticadultsquantifyingeffectsizequalityandmetaregression AT happefrancesca ametaanalysisofoutcomestudiesofautisticadultsquantifyingeffectsizequalityandmetaregression AT masondavid metaanalysisofoutcomestudiesofautisticadultsquantifyingeffectsizequalityandmetaregression AT cappsimonej metaanalysisofoutcomestudiesofautisticadultsquantifyingeffectsizequalityandmetaregression AT stewartgavinr metaanalysisofoutcomestudiesofautisticadultsquantifyingeffectsizequalityandmetaregression AT kemptonmatthewj metaanalysisofoutcomestudiesofautisticadultsquantifyingeffectsizequalityandmetaregression AT glaserkaren metaanalysisofoutcomestudiesofautisticadultsquantifyingeffectsizequalityandmetaregression AT howlinpatricia metaanalysisofoutcomestudiesofautisticadultsquantifyingeffectsizequalityandmetaregression AT happefrancesca metaanalysisofoutcomestudiesofautisticadultsquantifyingeffectsizequalityandmetaregression |