Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Farmer, Cristan, Swineford, Lauren, Swedo, Susan E., Thurm, Audrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
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
_version_ 1783297264340434944
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
work_keys_str_mv AT farmercristan classifyingandcharacterizingthedevelopmentofadaptivebehaviorinanaturalisticlongitudinalstudyofyoungchildrenwithautism
AT swinefordlauren classifyingandcharacterizingthedevelopmentofadaptivebehaviorinanaturalisticlongitudinalstudyofyoungchildrenwithautism
AT swedosusane classifyingandcharacterizingthedevelopmentofadaptivebehaviorinanaturalisticlongitudinalstudyofyoungchildrenwithautism
AT thurmaudrey classifyingandcharacterizingthedevelopmentofadaptivebehaviorinanaturalisticlongitudinalstudyofyoungchildrenwithautism