Document Detail


Assessing the early characteristics of autistic disorder using video analysis.
MedLine Citation:
PMID:  17031450     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The behaviours of infants were observed using home videos, in an attempt to identify social difficulties characteristic of infants with autistic disorder. Three groups of infants were analysed: 15 infants who had later been diagnosed with autism, 15 infants who had a developmental or language delay, and 15 typically developing infants. Social behaviours were coded using both quantitative and qualitative measures. The principal discriminating items between the groups were found to be 'peer interest', 'gaze aversion', 'anticipatory postures', and 'proto-declarative showing'. The results suggest that these children later diagnosed with autism are clinically distinct from their peers before the age of two years, and that there are clearly observable behaviours which are important predictors of autistic disorder in pre-verbal children.
Authors:
Sally Clifford; Robyn Young; Paul Williamson
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of autism and developmental disorders     Volume:  37     ISSN:  0162-3257     ISO Abbreviation:  J Autism Dev Disord     Publication Date:  2007 Feb 
Date Detail:
Created Date:  2007-02-23     Completed Date:  2007-05-01     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7904301     Medline TA:  J Autism Dev Disord     Country:  United States    
Other Details:
Languages:  eng     Pagination:  301-13     Citation Subset:  IM    
Affiliation:
Faculty of Social Sciences, School of Psychology, Flinders University of South Australia, Adelaide, Australia. SallyCl@dsc.wa.gov.au
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MeSH Terms
Descriptor/Qualifier:
Autistic Disorder / diagnosis*,  epidemiology
Child, Preschool
Early Diagnosis*
Female
Humans
Infant
Language Development Disorders / diagnosis,  epidemiology
Male
Severity of Illness Index
Social Behavior
Videotape Recording*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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