Document Detail


Behavioral phenotypes of genetic syndromes with Intellectual Disability: Comparison of adaptive profiles.
MedLine Citation:
PMID:  21507490     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
The study of distinctive and consistent behaviors in the most common genetic syndromes with Intellectual Disability is useful to explain abnormalities or associated psychiatric disorders. The behavioral phenotypes revealed outcomes totally or partially specific for each syndrome. The aims of our study was to compare similarities and differences in the adaptive profiles of five most frequent genetic syndromes, i.e. Down syndrome, Williams syndrome, Angelman syndrome, Prader-Willi syndrome, Fragile-X syndrome (fully mutated), taking into account the relation with chronological age and the overall IQ level. The research was carried out using the Vineland Adaptive Behavior Scale (beside Wechsler Intelligence scales to obtain IQ) with a sample of 181 persons (107 males and 74 females) showing genetic syndromes and mental retardation. Syndrome-based groups were matched for chronological age and mental age (excluding the Angelman group, presenting with severe mental retardation). Similarities and differences in the adaptive profiles are described, relating them to IQs and maladaptive behaviors. Results might be useful in obtaining a global index of adjustment for the assessment of Intellectual Disability level as well as for an educational guidance and rehabilitative plans.
Authors:
Santo Di Nuovo; Serafino Buono
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-4-18
Journal Detail:
Title:  Psychiatry research     Volume:  -     ISSN:  0165-1781     ISO Abbreviation:  -     Publication Date:  2011 Apr 
Date Detail:
Created Date:  2011-4-21     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7911385     Medline TA:  Psychiatry Res     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Elsevier Ltd. All rights reserved.
Affiliation:
University of Catania, Italy.
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