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

Bildt A de; S Sytem; E Zander; S Bolte; H Sturm; N Yirmiya; M Yaari; T Charman; E Salomone; A LeCourteur; J Green; R C Bedia; P G Primo; Daalen E van; Jonge M V de; E Guomundsdottir; S Johnannsdottir; M Raleva; M Boskovska; B Roge; S Baduel; I Moilanen; A Yliherva; J Buitelaar; I J Oosterling

doi: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

Bildt A de, S Sytem, E Zander, S Bolte, H Sturm, N Yirmiya, M Yaari, T Charman, E Salomone, A LeCourteur, J Green, R C Bedia, P G Primo, Daalen E van, Jonge M V de, E Guomundsdottir, S Johnannsdottir, M Raleva, M Boskovska, B RogeS Baduel, I Moilanen, A Yliherva, J Buitelaar, I J Oosterling

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Journal	Journal of Autism and Developmental Disorders
DOIs	https://doi.org/10.1007/s10803-015-2372-2
Publication status	Published - 2015

Keywords

Autism spectrum disorder - Early diagnosis - Assessment

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10.1007/s10803-015-2372-2

Preschool Autism Communication Trial (PACT).
Green, J., Macdonald, W. & Pickles, A.
13/02/06 → 18/04/10
Project: Research

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de, B. A., Sytem, S., Zander, E., Bolte, S., Sturm, H., Yirmiya, N., Yaari, M., Charman, T., Salomone, E., LeCourteur, A., Green, J., Bedia, R. C., Primo, P. G., van, D. E., de, J. M. V., Guomundsdottir, E., Johnannsdottir, S., Raleva, M., Boskovska, M., ... Oosterling, I. J. (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. https://doi.org/10.1007/s10803-015-2372-2

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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.",

keywords = "Autism spectrum disorder - Early diagnosis - Assessment",

author = "de, {Bildt A} and S Sytem and E Zander and S Bolte and H Sturm and N Yirmiya and M Yaari and T Charman and E Salomone and A LeCourteur and J Green and Bedia, {R C} and Primo, {P G} and van, {Daalen E} and de, {Jonge M V} and E Guomundsdottir and S Johnannsdottir and M Raleva and M Boskovska and B Roge and S Baduel and I Moilanen and A Yliherva and J Buitelaar and Oosterling, {I J}",

year = "2015",

doi = "10.1007/s10803-015-2372-2",

language = "English",

journal = "Journal of Autism and Developmental Disorders",

issn = "0162-3257",

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de, BA, Sytem, S, Zander, E, Bolte, S, Sturm, H, Yirmiya, N, Yaari, M, Charman, T, Salomone, E, LeCourteur, A, Green, J, Bedia, RC, Primo, PG, van, DE, de, JMV, Guomundsdottir, E, Johnannsdottir, S, Raleva, M, Boskovska, M, Roge, B, Baduel, S, Moilanen, I, Yliherva, A, Buitelaar, J & Oosterling, IJ 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. https://doi.org/10.1007/s10803-015-2372-2

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AU - de, Bildt A

AU - Sytem, S

AU - Zander, E

AU - Bolte, S

AU - Sturm, H

AU - Yirmiya, N

AU - Yaari, M

AU - Charman, T

AU - Salomone, E

AU - LeCourteur, A

AU - Green, J

AU - Bedia, R C

AU - Primo, P G

AU - van, Daalen E

AU - de, Jonge M V

AU - Guomundsdottir, E

AU - Johnannsdottir, S

AU - Raleva, M

AU - Boskovska, M

AU - Roge, B

AU - Baduel, S

AU - Moilanen, I

AU - Yliherva, A

AU - Buitelaar, J

AU - Oosterling, I J

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Autism spectrum disorder - Early diagnosis - Assessment

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DO - 10.1007/s10803-015-2372-2

M3 - Article

JO - Journal of Autism and Developmental Disorders

JF - Journal of Autism and Developmental Disorders

SN - 0162-3257

ER -

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

Abstract

Keywords

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Projects

Preschool Autism Communication Trial (PACT).

Cite this