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Developmental dyslexia: predicting individual risk

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 pri...

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Autores principales: Thompson, Paul A, Hulme, Charles, Nash, Hannah M, Gooch, Debbie, Hayiou-Thomas, Emma, Snowling, Margaret J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4672694/
https://www.ncbi.nlm.nih.gov/pubmed/25832320
http://dx.doi.org/10.1111/jcpp.12412
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author Thompson, Paul A
Hulme, Charles
Nash, Hannah M
Gooch, Debbie
Hayiou-Thomas, Emma
Snowling, Margaret J
author_facet Thompson, Paul A
Hulme, Charles
Nash, Hannah M
Gooch, Debbie
Hayiou-Thomas, Emma
Snowling, Margaret J
author_sort Thompson, Paul A
collection PubMed
description 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.
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spelling pubmed-46726942015-12-16 Developmental dyslexia: predicting individual risk Thompson, Paul A Hulme, Charles Nash, Hannah M Gooch, Debbie Hayiou-Thomas, Emma Snowling, Margaret J J Child Psychol Psychiatry Original Articles 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. John Wiley & Sons, Ltd 2015-09 2015-04-02 /pmc/articles/PMC4672694/ /pubmed/25832320 http://dx.doi.org/10.1111/jcpp.12412 Text en Copyright © 2015 Association for Child and Adolescent Mental Health http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Thompson, Paul A
Hulme, Charles
Nash, Hannah M
Gooch, Debbie
Hayiou-Thomas, Emma
Snowling, Margaret J
Developmental dyslexia: predicting individual risk
title Developmental dyslexia: predicting individual risk
title_full Developmental dyslexia: predicting individual risk
title_fullStr Developmental dyslexia: predicting individual risk
title_full_unstemmed Developmental dyslexia: predicting individual risk
title_short Developmental dyslexia: predicting individual risk
title_sort developmental dyslexia: predicting individual risk
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4672694/
https://www.ncbi.nlm.nih.gov/pubmed/25832320
http://dx.doi.org/10.1111/jcpp.12412
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