Literature DB >> 10585988

Persistence of dyslexia: the Connecticut Longitudinal Study at adolescence.

S E Shaywitz1, J M Fletcher, J M Holahan, A E Shneider, K E Marchione, K K Stuebing, D J Francis, K R Pugh, B A Shaywitz.   

Abstract

OBJECTIVE: The outcome in adolescence of children diagnosed as dyslexic during the early years of school was examined in children prospectively identified in childhood and continuously followed to young adulthood. This sample offers a unique opportunity to investigate a prospectively identified sample of adolescents for whom there is no question of the childhood diagnosis and in whom highly analytic measures of reading and language can be administered in adolescence.
DESIGN: Children were recruited from the Connecticut Longitudinal Study, a cohort of 445 children representative of those children entering public kindergarten in Connecticut in 1983. Two groups were selected when the children were in grade 9: children who met criteria for persistent reading disability in grades 2 through 6 (persistently poor readers [PPR]; n = 21) and a comparison group of nondisabled children, subdivided into average readers (n = 35) and superior readers (n = 39). In grade 9, each child received a comprehensive assessment of academic, language, and other cognitive skills.
RESULTS: Measures of phonological awareness (but not orthographic awareness) were most significant in differentiating the 3 reading groups, with smaller contributions from measures of word finding and digit-span. Academic measures that best separated good from poor readers were decoding and spelling, whereas measures of math and reading comprehension did not. Measures of phonological awareness, followed next by teacher rating of academic skills were the best predictors of decoding, reading rate, and reading accuracy. In contrast, the best predictor of reading comprehension was word finding, with digit span and socioeconomic status also contributing significantly. Using a growth curve model (quadratic model of growth to a plateau) all 3 groups demonstrated similar patterns of growth over time, with the superior group outperforming the average group, and the average group outperforming the PPR group. There was no evidence that the children in the PPR group catch up in their reading skills.
CONCLUSIONS: Deficits in phonological coding continue to characterize dyslexic readers even in adolescence; performance on phonological processing measures contributes most to discriminating dyslexic and average readers, and average and superior readers as well. These data support and extend the findings of previous investigators indicating the continuing contribution of phonological processing to decoding words, reading rate, and accuracy and spelling. Children with dyslexia neither spontaneously remit nor do they demonstrate a lag mechanism for catching up in the development of reading skills. In adolescents, the rate of reading as well as facility with spelling may be most useful clinically in differentiating average from poor readers.

Entities:  

Mesh:

Year:  1999        PMID: 10585988     DOI: 10.1542/peds.104.6.1351

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  59 in total

1.  Implicit learning in children with spelling disability: evidence from artificial grammar learning.

Authors:  Elena Ise; Carolin J Arnoldi; Jürgen Bartling; Gerd Schulte-Körne
Journal:  J Neural Transm (Vienna)       Date:  2012-06-10       Impact factor: 3.575

2.  Genetic analysis of dyslexia candidate genes in the European cross-linguistic NeuroDys cohort.

Authors:  Jessica Becker; Darina Czamara; Tom S Scerri; Franck Ramus; Valéria Csépe; Joel B Talcott; John Stein; Andrew Morris; Kerstin U Ludwig; Per Hoffmann; Ferenc Honbolygó; Dénes Tóth; Fabien Fauchereau; Caroline Bogliotti; Stéphanie Iannuzzi; Yves Chaix; Sylviane Valdois; Catherine Billard; Florence George; Isabelle Soares-Boucaud; Christophe-Loïc Gérard; Sanne van der Mark; Enrico Schulz; Anniek Vaessen; Urs Maurer; Kaisa Lohvansuu; Heikki Lyytinen; Marco Zucchelli; Daniel Brandeis; Leo Blomert; Paavo H T Leppänen; Jennifer Bruder; Anthony P Monaco; Bertram Müller-Myhsok; Juha Kere; Karin Landerl; Markus M Nöthen; Gerd Schulte-Körne; Silvia Paracchini; Myriam Peyrard-Janvid; Johannes Schumacher
Journal:  Eur J Hum Genet       Date:  2013-09-11       Impact factor: 4.246

3.  Remediating Computational Deficits at Third Grade: A Randomized Field Trial.

Authors:  Lynn S Fuchs; Sarah R Powell; Carol L Hamlett; Douglas Fuchs; Paul T Cirino; Jack M Fletcher
Journal:  J Res Educ Eff       Date:  2008

4.  The Critical Role of Instructional Response for Identifying Dyslexia and Other Learning Disabilities.

Authors:  Jeremy Miciak; Jack M Fletcher
Journal:  J Learn Disabil       Date:  2020-02-20

5.  Investigation of Poor Academic Achievement in Children with Duchenne Muscular Dystrophy.

Authors:  V J Hinton; D C De Vivo; R Fee; E Goldstein; Y Stern
Journal:  Learn Disabil Res Pract       Date:  2004-08

6.  Linkage analyses of chromosomal region 18p11-q12 in dyslexia.

Authors:  J Schumacher; I R König; E Plume; P Propping; A Warnke; M Manthey; M Duell; A Kleensang; D Repsilber; M Preis; H Remschmidt; A Ziegler; M M Nöthen; G Schulte-Körne
Journal:  J Neural Transm (Vienna)       Date:  2005-08-03       Impact factor: 3.575

7.  Investigation of interaction between DCDC2 and KIAA0319 in a large German dyslexia sample.

Authors:  Kerstin U Ludwig; Darina Roeske; Johannes Schumacher; Gerd Schulte-Körne; Inke R König; Andreas Warnke; Ellen Plume; Andreas Ziegler; Helmut Remschmidt; Bertram Müller-Myhsok; Markus M Nöthen; Per Hoffmann
Journal:  J Neural Transm (Vienna)       Date:  2008-09-23       Impact factor: 3.575

8.  Auditory word perception in sentence context in reading-disabled children.

Authors:  Maria Mody; Daniel T Wehner; Seppo P Ahlfors
Journal:  Neuroreport       Date:  2008-10-29       Impact factor: 1.837

9.  Developmental dyslexia in Chinese and English populations: dissociating the effect of dyslexia from language differences.

Authors:  Wei Hu; Hwee Ling Lee; Qiang Zhang; Tao Liu; Li Bo Geng; Mohamed L Seghier; Clare Shakeshaft; Tae Twomey; David W Green; Yi Ming Yang; Cathy J Price
Journal:  Brain       Date:  2010-05-20       Impact factor: 13.501

Review 10.  Structural MRI studies of language function in the undamaged brain.

Authors:  Fiona M Richardson; Cathy J Price
Journal:  Brain Struct Funct       Date:  2009-07-18       Impact factor: 3.270

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.