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

de Bildt, Annelies ; Sytema, Sjoerd ; Zander, Eric LU ; Bölte, Sven ; Sturm, Harald ; Yirmiya, Nurit ; Yaari, Maya ; Charman, Tony ; Salomone, Erica and LeCouteur, Ann , et al. (2015) In Journal of Autism and Developmental Disorders 45(7). p.91-2076
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... (More)

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.

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Please use this url to cite or link to this publication:
@article{72b6def7-6ade-43f4-a20c-266821309f4e,
  abstract     = {{<p>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. </p>}},
  author       = {{de Bildt, Annelies and Sytema, Sjoerd and Zander, Eric and Bölte, Sven and Sturm, Harald and Yirmiya, Nurit and Yaari, Maya and Charman, Tony and Salomone, Erica and LeCouteur, Ann and Green, Jonathan and Bedia, Ricardo Canal and Primo, Patricia García and van Daalen, Emma and de Jonge, Maretha V and Guðmundsdóttir, Emilía and Jóhannsdóttir, Sigurrós and Raleva, Marija and Boskovska, Meri and Rogé, Bernadette and Baduel, Sophie and Moilanen, Irma and Yliherva, Anneli and Buitelaar, Jan and Oosterling, Iris J}},
  issn         = {{0162-3257}},
  keywords     = {{Algorithms; Autistic Disorder/diagnosis; Child, Preschool; Female; Humans; Infant; Interview, Psychological; Language; Male; Reproducibility of Results; Sensitivity and Specificity}},
  language     = {{eng}},
  number       = {{7}},
  pages        = {{91--2076}},
  publisher    = {{Springer}},
  series       = {{Journal of Autism and Developmental Disorders}},
  title        = {{Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers : Application in a Non-US Sample of 1,104 Children}},
  url          = {{http://dx.doi.org/10.1007/s10803-015-2372-2}},
  doi          = {{10.1007/s10803-015-2372-2}},
  volume       = {{45}},
  year         = {{2015}},
}