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Dataset Information

Dissecting the phenotypic heterogeneity in sensory features in autism spectrum disorder: a factor mixture modelling approach.


ABSTRACT:

Background

Heterogeneity in the phenotypic presentation of autism spectrum disorder (ASD) is apparent in the profile and the severity of sensory features. Here, we applied factor mixture modelling (FMM) to test a multidimensional factor model of sensory processing in ASD. We aimed to identify homogeneous sensory subgroups in ASD that differ intrinsically in their severity along continuous factor scores. We also investigated sensory subgroups in relation to clinical variables: sex, age, IQ, social-communication symptoms, restricted and repetitive behaviours, adaptive functioning and symptoms of anxiety and attention-deficit/hyperactivity disorder.

Methods

Three hundred thirty-two children and adults with ASD between the ages of 6 and 30 years with IQs varying between 40 and 1

SUBMITTER: Tillmann J 

PROVIDER: S-EPMC7457751 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature