Literature DB >> 19036558

Variability of cognitive development in children with Down syndrome: relevance of good reasons for using the cluster procedure.

R Tsao1, C Kindelberger.   

Abstract

The main goal of this cross-sectional study was to demonstrate that, in addition to a main change during childhood, the cognitive development of children with Down syndrome (DS) is characterized by interindividual variability in their cognitive functioning. Eighty-eight French children with DS took part in this experiment. They were divided into six chronological age groups: 6 years (N=9), 7 years (N=19), 8 years (N=18), 9 years (N=19), 10 years (N=14) and 11 years (N=9). They were assessed by means of the Differential Scales of Intellectual Efficiency. This test, composed of six independent scales, measures verbal abilities and nonverbal reasoning abilities. Initial analyses of the verbal and nonverbal subtest scores indicated a main change in cognitive skills. We then used a clustering approach to identify four cognitive profiles that distinguished the children with DS independently of age and gender. The results confirm that there is a growth in the cognitive skills of DS children. They also suggest that the cognitive functioning of DS children is characterized by different individual profiles. Implications for more fine-tuned research and intervention efforts are discussed.

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Year:  2008        PMID: 19036558     DOI: 10.1016/j.ridd.2008.10.009

Source DB:  PubMed          Journal:  Res Dev Disabil        ISSN: 0891-4222


  11 in total

Review 1.  Visuo-spatial ability in individuals with Down syndrome: is it really a strength?

Authors:  Yingying Yang; Frances A Conners; Edward C Merrill
Journal:  Res Dev Disabil       Date:  2014-04-20

Review 2.  Neurological phenotypes for Down syndrome across the life span.

Authors:  Ira T Lott
Journal:  Prog Brain Res       Date:  2012       Impact factor: 2.453

3.  Single-Word Speech Intelligibility in Children and Adults With Down Syndrome.

Authors:  Alyssa Wild; Houri K Vorperian; Ray D Kent; Daniel M Bolt; Diane Austin
Journal:  Am J Speech Lang Pathol       Date:  2018-02-06       Impact factor: 2.408

4.  A functional proteomic method for biomarker discovery.

Authors:  Fred Reynolds; Nivedha Panneer; Christopher M Tutino; Michael Wu; William R Skrabal; Christopher Moskaluk; Kimberly A Kelly
Journal:  PLoS One       Date:  2011-07-19       Impact factor: 3.240

5.  Motor, linguistic, personal and social aspects of children with Down syndrome.

Authors:  Amanda Tragueta Ferreira-Vasques; Dionísia Aparecida Cusin Lamônica
Journal:  J Appl Oral Sci       Date:  2015 Jul-Aug       Impact factor: 2.698

6.  Motor and Cognitive Developmental Profiles in Children With Down Syndrome.

Authors:  Hyo In Kim; Seong Woo Kim; Jiyong Kim; Ha Ra Jeon; Da Wa Jung
Journal:  Ann Rehabil Med       Date:  2017-02-28

7.  Capturing cognitive and behavioral variability among individuals with Down syndrome: a latent profile analysis.

Authors:  Marie Moore Channell; Laura J Mattie; Debra R Hamilton; George T Capone; E Mark Mahone; Stephanie L Sherman; Tracie C Rosser; Roger H Reeves; Luther G Kalb
Journal:  J Neurodev Disord       Date:  2021-04-19       Impact factor: 4.025

8.  Trisomy of Human Chromosome 21 Orthologs Mapping to Mouse Chromosome 10 Cause Age and Sex-Specific Learning Differences: Relevance to Down Syndrome.

Authors:  Ross Minter; Katheleen J Gardiner
Journal:  Genes (Basel)       Date:  2021-10-26       Impact factor: 4.096

9.  Cognitive profiles in children and adolescents with Down syndrome.

Authors:  Sara Onnivello; Francesca Pulina; Chiara Locatelli; Chiara Marcolin; Giuseppe Ramacieri; Francesca Antonaros; Beatrice Vione; Maria Caracausi; Silvia Lanfranchi
Journal:  Sci Rep       Date:  2022-02-04       Impact factor: 4.996

10.  Path Learning in Individuals With Down Syndrome: The Floor Matrix Task and the Role of Individual Visuo-Spatial Measures.

Authors:  Chiara Meneghetti; Enrico Toffalini; Silvia Lanfranchi; Barbara Carretti
Journal:  Front Hum Neurosci       Date:  2020-03-31       Impact factor: 3.169

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