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Classifying and characterizing the development of adaptive behavior in a naturalistic longitudinal study of young children with autism
BACKGROUND: Adaptive behavior, or the ability to function independently in ones’ environment, is a key phenotypic construct in autism spectrum disorder (ASD). Few studies of the development of adaptive behavior during preschool to school-age are available, though existing data demonstrate that the d...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795287/ https://www.ncbi.nlm.nih.gov/pubmed/29329511 http://dx.doi.org/10.1186/s11689-017-9222-9 |
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author | Farmer, Cristan Swineford, Lauren Swedo, Susan E. Thurm, Audrey |
author_facet | Farmer, Cristan Swineford, Lauren Swedo, Susan E. Thurm, Audrey |
author_sort | Farmer, Cristan |
collection | PubMed |
description | BACKGROUND: Adaptive behavior, or the ability to function independently in ones’ environment, is a key phenotypic construct in autism spectrum disorder (ASD). Few studies of the development of adaptive behavior during preschool to school-age are available, though existing data demonstrate that the degree of ability and impairment associated with ASD, and how it manifests over time, is heterogeneous. Growth mixture models are a statistical technique that can help parse this heterogeneity in trajectories. METHODS: Data from an accelerated longitudinal natural history study (n = 105 children with ASD) were subjected to growth mixture model analysis. Children were assessed up to four times between the ages of 3 to 7.99 years. RESULTS: The best fitting model comprised two classes of trajectory on the Adaptive Behavior Composite score of the Vineland Adaptive Behavior Scale, Second Edition—a low and decreasing trajectory (73% of the sample) and a moderate and stable class (27%). CONCLUSIONS: These results partially replicate the classes observed in a previous study of a similarly characterized sample, suggesting that developmental trajectory may indeed serve as a phenotype. Further, the ability to predict which trajectory a child is likely to follow will be useful in planning for clinical trials. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s11689-017-9222-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5795287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57952872018-02-12 Classifying and characterizing the development of adaptive behavior in a naturalistic longitudinal study of young children with autism Farmer, Cristan Swineford, Lauren Swedo, Susan E. Thurm, Audrey J Neurodev Disord Research BACKGROUND: Adaptive behavior, or the ability to function independently in ones’ environment, is a key phenotypic construct in autism spectrum disorder (ASD). Few studies of the development of adaptive behavior during preschool to school-age are available, though existing data demonstrate that the degree of ability and impairment associated with ASD, and how it manifests over time, is heterogeneous. Growth mixture models are a statistical technique that can help parse this heterogeneity in trajectories. METHODS: Data from an accelerated longitudinal natural history study (n = 105 children with ASD) were subjected to growth mixture model analysis. Children were assessed up to four times between the ages of 3 to 7.99 years. RESULTS: The best fitting model comprised two classes of trajectory on the Adaptive Behavior Composite score of the Vineland Adaptive Behavior Scale, Second Edition—a low and decreasing trajectory (73% of the sample) and a moderate and stable class (27%). CONCLUSIONS: These results partially replicate the classes observed in a previous study of a similarly characterized sample, suggesting that developmental trajectory may indeed serve as a phenotype. Further, the ability to predict which trajectory a child is likely to follow will be useful in planning for clinical trials. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s11689-017-9222-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-05 /pmc/articles/PMC5795287/ /pubmed/29329511 http://dx.doi.org/10.1186/s11689-017-9222-9 Text en © The Author(s). 2018 Open Access This 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Farmer, Cristan Swineford, Lauren Swedo, Susan E. Thurm, Audrey Classifying and characterizing the development of adaptive behavior in a naturalistic longitudinal study of young children with autism |
title | Classifying and characterizing the development of adaptive behavior in a naturalistic longitudinal study of young children with autism |
title_full | Classifying and characterizing the development of adaptive behavior in a naturalistic longitudinal study of young children with autism |
title_fullStr | Classifying and characterizing the development of adaptive behavior in a naturalistic longitudinal study of young children with autism |
title_full_unstemmed | Classifying and characterizing the development of adaptive behavior in a naturalistic longitudinal study of young children with autism |
title_short | Classifying and characterizing the development of adaptive behavior in a naturalistic longitudinal study of young children with autism |
title_sort | classifying and characterizing the development of adaptive behavior in a naturalistic longitudinal study of young children with autism |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795287/ https://www.ncbi.nlm.nih.gov/pubmed/29329511 http://dx.doi.org/10.1186/s11689-017-9222-9 |
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