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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
Language: English
Authors: Mason, David (ORCID 0000-0002-1382-4688); Capp, Simone J.; Stewart, Gavin R.; Kempton, Matthew J.; Glaser, Karen; Howlin, Patricia; Happé, Francesca
Source: Journal of Autism and Developmental Disorders. Sep 2021 51(9):3165-3179.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 15
Publication Date: 2021
Document Type: Journal Articles; Information Analyses
Descriptors: Autism; Pervasive Developmental Disorders; Intelligence Quotient; Adults; Individual Development; Predictor Variables; Longitudinal Studies; Outcome Measures
DOI: 10.1007/s10803-020-04763-2
ISSN: 0162-3257
Abstract: 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.
Abstractor: As Provided
Entry Date: 2021
Accession Number: EJ1306394
Database: ERIC