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    Predicting children's speech, language and reading impairment over time

    Access Status
    Fulltext not available
    Authors
    Taylor, Catherine
    Zubrick, Stephen
    Date
    2009
    Type
    Journal Article
    
    Metadata
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    Citation
    Taylor, Catherine and Zubrick, Stephen R. 2009. Predicting children's speech, language and reading impairment over time. International Journal of Speech-Language Pathology 11 (5): pp. 341-343.
    Source Title
    International Journal of Speech-Language Pathology
    DOI
    10.1080/17549500903161561
    ISSN
    17549507
    Faculty
    Faculty of Health Sciences
    Centre for Developmental Health
    School
    Centre for Developmental Health (Curtin Research Centre)
    Remarks

    The final, definitive version of this paper has been published in International Journal of Speech-Language Pathology, Vol 11 Issue 5, October 2009 by SAGE Publications Ltd, All rights reserved. © [Catherine L. Taylor and Stephen R. Zubrick]

    URI
    http://hdl.handle.net/20.500.11937/29781
    Collection
    • Curtin Research Publications
    Abstract

    Prospective population based longitudinal studies are highly informative for understanding developmental trajectories in speech, language and reading impairment. These studies contribute to our knowledge about the onset and trajectories of these disorders and to our understanding of the factors that influence these trajectories over the life course. Epidemiological research in speech, language and reading impairment shares some of the challenges inherent in studying any developmental impairment that persists yet changes over time. Not only do the speech, language and reading impairment phenotypes change over time but the proximal and distal factors associated with these phenotypes vary in magnitude at different epochs in development. The notion that phenotypes and the factors that influences them change is a positive one because it allows for the possibility of improvement and recovery. Clearly, the phenomenology of these developmental disorders makes the practical enterprise of identifying children at risk for these disorders and predicting their outcomes a significant challenge.

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