Predicting Developmental Status from 12 to 24 Months in Infants at Risk for Autism Spectrum Disorder: A Preliminary Report.
The study examined whether performance profiles on individual items of the Toddler Module of the Autism Diagnostic Observation Schedule at 12 months are associated with developmental status at 24 months in infants at high and low risk for developing Autism Spectrum Disorder (ASD). A nonparametric de...
| Publicado en: | Journal of Autism & Developmental Disorders Vol. 42; no. 12; pp. 2636 - 2648 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104433817&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104433817 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01623257 AUT jtl: Journal of Autism & Developmental Disorders issn: 01623257 maglogo: N pubinfo: dt: Dec2012 vid: 42 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104433817 83169081 10.1007/s10803-012-1521-0 NLM22484794 104433817 ppf: 2636 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Predicting Developmental Status from 12 to 24 Months in Infants at Risk for Autism Spectrum Disorder: A Preliminary Report. aug: au: Macari, Suzanne Campbell, Daniel Gengoux, Grace Saulnier, Celine Klin, Ami Chawarska, Katarzyna affil: Child Study Center, Yale University School of Medicine, New Haven USA sug: subj: Autism Spectrum Disorder Risk Factors Infant Development Human Clinical Assessment Tools Algorithms Infant Child, Preschool Male Female Descriptive Statistics Siblings Post Hoc Analysis Funding Source Infant: 1-23 months Child, Preschool: 2-5 years Male Female ab: The study examined whether performance profiles on individual items of the Toddler Module of the Autism Diagnostic Observation Schedule at 12 months are associated with developmental status at 24 months in infants at high and low risk for developing Autism Spectrum Disorder (ASD). A nonparametric decision-tree learning algorithm identified sets of 12-month predictors of developmental status at 24 months. Results suggest that identification of infants who are likely to exhibit symptoms of ASD at 24 months is complicated by variable patterns of symptom emergence. Fine-grained analyses linking specific profiles of strengths and deficits with specific patterns of symptom emergence will be necessary for further refinement of screening and diagnostic instruments for ASD in infancy. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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