Identification of subgroups of children in the Australian Autism Biobank using latent class analysis.

ABSTRACT:

Background

The identification of reproducible subtypes within autistic populations is a priority research area in the context of neurodevelopment, to pave the way for identification of biomarkers and targeted treatment recommendations. Few previous studies have considered medical comorbidity alongside behavioural, cognitive, and psychiatric data in subgrouping analyses. This study sought to determine whether differing behavioural, cognitive, medical, and psychiatric profiles could be used to distinguish subgroups of children on the autism spectrum in the Australian Autism Biobank (AAB).

Methods

Latent profile analysis was used to identify subgroups of children on the autism spectrum within the AAB (n = 1151), utilising data on social communication profiles and restricted, re

SUBMITTER: Montgomery A 

PROVIDER: S-EPMC9940381 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature