Developmental Language Disorder: predictive factors and early detection
(2020) GCPN meeting — Location: Brussels, Belgium
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- Authors
Bonnet, Camille 
- Abstract
- Early detection of oral language disorders is essential to ensure the implementation of early and effective intervention programs. However, knowledge is scarce on the early markers contributing to the emergence of Developmental Language Disorders (DLD), a language disorder marked by a poor prognosis and a significant functional impairment in everyday life, in the absence of a known biomedical etiology. In addition, suitable tools for early identification of children at risk for persistent language impairment remain fundamentally limited. The objective of this systematic review was two-fold: (1) provide an overview of peer-reviewed studies investigating early markers, risk, and predictive factors of oral language disorders, and (2) assess the potential of automated vocal analysis using the Language ENvironment Analysis (LENA) technology in a context of early detection of children at risk for DLD. From two independent literature searches using six electronic databases, a total of 1529 and 520 articles for objectives 1 and 2, respectively, were initially included based on our key search terms. Results will be presented based on a qualitative thematic synthesis that summarizes the variety of contributing factors leading to the development of DLD and describes the potential of the LENA technology for identifying children at risk for DLD.
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Bonnet, C., Warny, A., & Vanderauwera, J. (2020). Developmental Language Disorder: predictive factors and early detection. GCPN meeting, Brussels, Belgium. https://hdl.handle.net/2078.5/28225