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使用因子混合建模探索典型发育和自闭症谱系发育中的感觉亚群。

Exploring Sensory Subgroups in Typical Development and Autism Spectrum Development Using Factor Mixture Modelling.

机构信息

Department of Psychology, UC Davis, Davis, USA.

Center for Mind and Brain, UC Davis, Davis, USA.

出版信息

J Autism Dev Disord. 2022 Sep;52(9):3840-3860. doi: 10.1007/s10803-021-05256-6. Epub 2021 Sep 9.

Abstract

This study uses factor mixture modelling of the Short Sensory Profile (SSP) at two time points to describe subgroups of young autistic and typically-developing children. This approach allows separate SSP subscales to influence overall SSP performance differentially across subgroups. Three subgroups were described, one including almost all typically-developing participants plus many autistic participants. SSP performance of a second, largely-autistic subgroup was predominantly shaped by a subscale indexing behaviours of low energy/weakness. Finally, the third subgroup, again largely autistic, contained participants with low (or more "atypical") SSP scores across most subscales. In this subgroup, autistic participants exhibited large P1 amplitudes to loud sounds. Autistic participants in subgroups with more atypical SSP scores had higher anxiety and more sleep disturbances.

摘要

本研究使用短期感觉功能评估(SSP)的因子混合建模在两个时间点来描述年轻自闭症和典型发育儿童的亚组。这种方法允许单独的 SSP 分量在亚组之间以不同的方式影响整体 SSP 表现。描述了三个亚组,一个包括几乎所有的典型发育参与者加上许多自闭症参与者。第二个主要是自闭症的亚组的 SSP 表现主要由一个索引低能量/虚弱行为的分量表塑造。最后,第三个亚组,也是主要自闭症的,包含了大多数分量表中 SSP 得分较低(或更“非典型”)的参与者。在这个亚组中,自闭症参与者对响亮的声音表现出较大的 P1 振幅。在 SSP 得分更不典型的亚组中的自闭症参与者有更高的焦虑和更多的睡眠障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/448e/9349169/350fa23e21b1/10803_2021_5256_Fig1_HTML.jpg

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