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Cluster analysis reveals subclinical subgroups with shared autistic and schizotypal traits
journal contribution
posted on 2018-07-01, 00:00 authored by Talitha FordTalitha Ford, Pragalathan Apputhurai, Denny Meyer, David P CrewtherAutism and schizophrenia spectrum research is typically based on coarse diagnostic classification, which overlooks individual variation within clinical groups. This method limits the identification of underlying cognitive, genetic and neural correlates of specific symptom dimensions. This study, therefore, aimed to identify homogenous subclinical subgroups of specific autistic and schizotypal traits dimensions, that may be utilised to establish more effective diagnostic and treatment practices. Latent profile analysis of subscale scores derived from an autism-schizotypy questionnaire, completed by 1678 subclinical adults aged 18-40 years (1250 females), identified a local optimum of eight population clusters: High, Moderate and Low Psychosocial Difficulties; High, Moderate and Low Autism-Schizotypy; High Psychosis-Proneness; and Moderate Schizotypy. These subgroups represent the convergent and discriminant dimensions of autism and schizotypy in the subclinical population, and highlight the importance of examining subgroups of specific symptom characteristics across these spectra in order to identify the underlying genetic and neural correlates that can be utilised to advance diagnostic and treatment practices.
History
Journal
Psychiatry researchVolume
265Pagination
111 - 117Publisher
ElsevierLocation
Amsterdam, The NetherlandsPublisher DOI
eISSN
1872-7123Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2018, ElsevierUsage metrics
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