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应用潜在类别分析识别自闭症谱系障碍儿童中受益于社交技能训练的亚组。

Application of Latent Class Analysis to Identify Subgroups of Children with Autism Spectrum Disorders who Benefit from Social Skills Training.

机构信息

Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Accare, University Center for Child and Adolescent Psychiatry, PO Box 660, 9700 AR, Groningen, The Netherlands.

出版信息

J Autism Dev Disord. 2021 Jun;51(6):2004-2018. doi: 10.1007/s10803-020-04678-y.

Abstract

With Latent Class Analysis applied on data of 98 children with autism spectrum disorder (ASD) (9-12 years; 17 girls) participating in social skills training (SST) in a randomized controlled trial (Dekker et al. 2019), four subgroups were detected, based on social-communicative skills before, and response patterns to training. Two subgroups improved after SST. Characterizing the subgroups based on participant and intervention characteristics showed that improvement was related to lower parent-reported perceived difficulty of social-communicative skills at start, higher verbal ability, younger age and milder symptoms of ASD and anxiety. The lowest performing non-improving subgroup participated more often in SST without parent/teacher involvement, compared to all other subgroups. Response to SST in ASD seems to vary depending on participant characteristics.

摘要

运用潜在类别分析方法,对参加社交技能训练(Dekker 等人,2019)的 98 名自闭症谱系障碍(ASD)儿童(9-12 岁;17 名女孩)的数据进行分析,根据训练前的社交沟通技能和对训练的反应模式,发现了四个亚组。两个亚组在 SST 后得到了改善。根据参与者和干预特点对亚组进行特征描述表明,改善与开始时父母报告的社交沟通技能感知难度较低、语言能力较高、年龄较小、ASD 和焦虑症状较轻有关。表现最差的非改善亚组与其他所有亚组相比,在没有父母/教师参与的情况下,更频繁地参加 SST。ASD 对 SST 的反应似乎取决于参与者的特点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8739/8124042/3f989dd6ed03/10803_2020_4678_Fig1_HTML.jpg

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