The current study aimed to investigate the Autism Diagnostic Interview-Revised (ADI-R) algorithms for toddlers and young preschoolers (Kim and Lord, J Autism Dev Disord 42(1):82–93, 2012) in a non-US sample from ten sites in nine countries (n = 1,104). The construct validity indicated a good fit of the algorithms. The diagnostic validity was lower, with satisfactorily high specificities but moderate sensitivities. Young children with clinical ASD and lower language ability were largely in the mild-to-moderate or moderate-to-severe concern ranges of the ADI-R, nearly half of the older and phrase speech ASD-group fell into the little-to-no concern range. Although broadly the findings support the toddler algorithms, further work is required to understand why they might have different properties in different samples to further inform research and clinical use.

de Bildt, A., Sytema, S., Zander, E., Bã¶lte, S., Sturm, H., Yirmiya, N., et al. (2015). Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers: Application in a Non-US Sample of 1,104 Children. JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS, 45(7), 2076-2091 [10.1007/s10803-015-2372-2].

Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers: Application in a Non-US Sample of 1,104 Children

Salomone, Erica;
2015

Abstract

The current study aimed to investigate the Autism Diagnostic Interview-Revised (ADI-R) algorithms for toddlers and young preschoolers (Kim and Lord, J Autism Dev Disord 42(1):82–93, 2012) in a non-US sample from ten sites in nine countries (n = 1,104). The construct validity indicated a good fit of the algorithms. The diagnostic validity was lower, with satisfactorily high specificities but moderate sensitivities. Young children with clinical ASD and lower language ability were largely in the mild-to-moderate or moderate-to-severe concern ranges of the ADI-R, nearly half of the older and phrase speech ASD-group fell into the little-to-no concern range. Although broadly the findings support the toddler algorithms, further work is required to understand why they might have different properties in different samples to further inform research and clinical use.
Articolo in rivista - Articolo scientifico
Assessment; Autism spectrum disorders; Early diagnosis;
Assessment; Autism spectrum disorders; Early diagnosis; Algorithms; Autistic Disorder; Child; Preschool; Female; Humans; Infant; Language; Male; Reproducibility of Results; Sensitivity and Specificity; Interview; Psychological; Developmental and Educational Psychology
English
2015
45
7
2076
2091
reserved
de Bildt, A., Sytema, S., Zander, E., Bã¶lte, S., Sturm, H., Yirmiya, N., et al. (2015). Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers: Application in a Non-US Sample of 1,104 Children. JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS, 45(7), 2076-2091 [10.1007/s10803-015-2372-2].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/216202
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