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Categorical versus dimensional structure of autism spectrum disorder: A multi-method investigation.

Authors :
Frazier TW
Chetcuti L
Al-Shaban FA
Haslam N
Ghazal I
Klingemier EW
Aldosari M
Whitehouse AJO
Youngstrom EA
Hardan AY
Uljarević M
Source :
JCPP advances [JCPP Adv] 2023 Feb 21; Vol. 3 (2), pp. e12142. Date of Electronic Publication: 2023 Feb 21 (Print Publication: 2023).
Publication Year :
2023

Abstract

Background: A key question for any psychopathological diagnosis is whether the condition is continuous or discontinuous with typical variation. The primary objective of this study was to use a multi-method approach to examine the broad latent categorical versus dimensional structure of autism spectrum disorder (ASD).<br />Method: Data were aggregated across seven independent samples of participants with ASD, other neurodevelopmental disorders (NDD), and non-ASD/NDD controls (aggregate N s = 512-16,755; ages 1.5-22). Scores from four distinct phenotype measures formed composite "indicators" of the latent ASD construct. The primary indicator set included eye gaze metrics from seven distinct social stimulus paradigms. Logistic regressions were used to combine gaze metrics within/across paradigms, and derived predicted probabilities served as indicator values. Secondary indicator sets were constructed from clinical observation and parent-report measures of ASD symptoms. Indicator sets were submitted to taxometric- and latent class analyses.<br />Results: Across all indicator sets and analytic methods, there was strong support for categorical structure corresponding closely to ASD diagnosis. Consistent with notions of substantial phenotypic heterogeneity, the ASD category had a wide range of symptom severity. Despite the examination of a large sample with a wide range of IQs in both genders, males and children with lower IQ were over-represented in the ASD category, similar to observations in diagnosed cases.<br />Conclusions: Our findings provide strong support for categorical structure corresponding closely to ASD diagnosis. The present results bolster the use of well-diagnosed and representative ASD groups within etiologic and clinical research, motivating the ongoing search for major drivers of the ASD phenotype. Despite the categorical structure of ASD, quantitative symptom measurements appear more useful for examining relationships with other factors.<br />Competing Interests: T.W.F. has received funding or research support from, acted as a consultant to, received travel support from, and/or received a speaker's honorarium from Quadrant Biosciences, Impel NeuroPharma, F. Hoffmann‐La Roche AG Pharmaceuticals, the Cole Family Research Fund, Simons Foundation, Ingalls Foundation, Forest Laboratories, Ecoeos, IntegraGen, Kugona LLC, Shire Development, Bristol‐Myers Squibb, Roche Pharma, National Institutes of Health, and the Brain and Behavior Research Foundation and has an investor stake in Autism EYES LLC. EAY has consulted with Lundbeck, Supernus, Pearson, and Western Psychological Services about psychological assessment, and received royalties from Guilford Press and the American Psychological Association. He is co‐founder and president of Helping Give Away Psychological Science (HGAPS.org). The remaining authors have declared that they have no competing or potential conflicts of interest.<br /> (© 2023 The Authors. JCPP Advances published by John Wiley & Sons Ltd on behalf of Association for Child and Adolescent Mental Health.)

Details

Language :
English
ISSN :
2692-9384
Volume :
3
Issue :
2
Database :
MEDLINE
Journal :
JCPP advances
Publication Type :
Academic Journal
Accession number :
37753161
Full Text :
https://doi.org/10.1002/jcv2.12142