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Détail de l'auteur
Auteur Emma HAYIOU-THOMAS |
Documents disponibles écrits par cet auteur (1)
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Developmental dyslexia: predicting individual risk / Paul A. THOMPSON in Journal of Child Psychology and Psychiatry, 56-9 (September 2015)
[article]
Titre : Developmental dyslexia: predicting individual risk Type de document : Texte imprimé et/ou numérique Auteurs : Paul A. THOMPSON, Auteur ; Charles HULME, Auteur ; Hannah M. NASH, Auteur ; Debbie GOOCH, Auteur ; Emma HAYIOU-THOMAS, Auteur ; Margaret J. SNOWLING, Auteur Article en page(s) : p.976-987 Langues : Anglais (eng) Mots-clés : Familial (family) risk dyslexia reading disability language skills executive motor early identification Index. décimale : PER Périodiques Résumé : Background Causal theories of dyslexia suggest that it is a heritable disorder, which is the outcome of multiple risk factors. However, whether early screening for dyslexia is viable is not yet known. Methods The study followed children at high risk of dyslexia from preschool through the early primary years assessing them from age 3 years and 6 months (T1) at approximately annual intervals on tasks tapping cognitive, language, and executive-motor skills. The children were recruited to three groups: children at family risk of dyslexia, children with concerns regarding speech, and language development at 3;06 years and controls considered to be typically developing. At 8 years, children were classified as ‘dyslexic’ or not. Logistic regression models were used to predict the individual risk of dyslexia and to investigate how risk factors accumulate to predict poor literacy outcomes. Results Family-risk status was a stronger predictor of dyslexia at 8 years than low language in preschool. Additional predictors in the preschool years include letter knowledge, phonological awareness, rapid automatized naming, and executive skills. At the time of school entry, language skills become significant predictors, and motor skills add a small but significant increase to the prediction probability. We present classification accuracy using different probability cutoffs for logistic regression models and ROC curves to highlight the accumulation of risk factors at the individual level. Conclusions Dyslexia is the outcome of multiple risk factors and children with language difficulties at school entry are at high risk. Family history of dyslexia is a predictor of literacy outcome from the preschool years. However, screening does not reach an acceptable clinical level until close to school entry when letter knowledge, phonological awareness, and RAN, rather than family risk, together provide good sensitivity and specificity as a screening battery. En ligne : http://dx.doi.org/10.1111/jcpp.12412 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=267
in Journal of Child Psychology and Psychiatry > 56-9 (September 2015) . - p.976-987[article] Developmental dyslexia: predicting individual risk [Texte imprimé et/ou numérique] / Paul A. THOMPSON, Auteur ; Charles HULME, Auteur ; Hannah M. NASH, Auteur ; Debbie GOOCH, Auteur ; Emma HAYIOU-THOMAS, Auteur ; Margaret J. SNOWLING, Auteur . - p.976-987.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 56-9 (September 2015) . - p.976-987
Mots-clés : Familial (family) risk dyslexia reading disability language skills executive motor early identification Index. décimale : PER Périodiques Résumé : Background Causal theories of dyslexia suggest that it is a heritable disorder, which is the outcome of multiple risk factors. However, whether early screening for dyslexia is viable is not yet known. Methods The study followed children at high risk of dyslexia from preschool through the early primary years assessing them from age 3 years and 6 months (T1) at approximately annual intervals on tasks tapping cognitive, language, and executive-motor skills. The children were recruited to three groups: children at family risk of dyslexia, children with concerns regarding speech, and language development at 3;06 years and controls considered to be typically developing. At 8 years, children were classified as ‘dyslexic’ or not. Logistic regression models were used to predict the individual risk of dyslexia and to investigate how risk factors accumulate to predict poor literacy outcomes. Results Family-risk status was a stronger predictor of dyslexia at 8 years than low language in preschool. Additional predictors in the preschool years include letter knowledge, phonological awareness, rapid automatized naming, and executive skills. At the time of school entry, language skills become significant predictors, and motor skills add a small but significant increase to the prediction probability. We present classification accuracy using different probability cutoffs for logistic regression models and ROC curves to highlight the accumulation of risk factors at the individual level. Conclusions Dyslexia is the outcome of multiple risk factors and children with language difficulties at school entry are at high risk. Family history of dyslexia is a predictor of literacy outcome from the preschool years. However, screening does not reach an acceptable clinical level until close to school entry when letter knowledge, phonological awareness, and RAN, rather than family risk, together provide good sensitivity and specificity as a screening battery. En ligne : http://dx.doi.org/10.1111/jcpp.12412 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=267