Relationships Among Motor, First, and Second Language Skills Among Bilingual Children With Language Disorders.
Published In: Journal of Speech, Language & Hearing Research, 2023, v. 66, n. 9. P. 3536 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Sanabria, Ashley; Restrepo, Maria Adelaida; Peter, Beate; Valentin, Andrea; Glenberg, Arthur 3 of 3
Abstract
Purpose: The purpose of this study was to determine the significance and directions of the relationships among oral and manual fine motor skills and language abilities among Spanish-English bilingual children. If such relationships exist, this would support a shared biological influence on motor and language development. Method: Participants included 56 bilingual children, 24 of whom met criteria for developmental language disorder (DLD), recruited based on teacher concern for language and/or reading comprehension abilities. Students participated in a battery of baseline tests to determine motor, language, and cognitive abilities. Correlations among all variables were examined for direction of relationships. Regression models explored the predictive power of motor skills with Spanish and English language ability as the outcome measure. Results: Oral fine motor abilities (diadochokinetic rate productions of /pa/and/pata/) predicted Spanish (but not English) oral language abilities in the expected direction (i.e., faster rates were associated with better language). Manual fine motor performance on computer tapping tasks was not related to performance in either language. Conclusions: Oral fine motor abilities are related to language abilities in bilingual children, but only for the native language. We did not find reliable differences in oral and manual fine motor skills between groups of bilingual children with and without DLD. These findings support a limited role of shared biological influences on motor and language development. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Speech, Language & Hearing Research. 2023/09, Vol. 66, Issue 9, p3536
- Document Type:Article
- Subject Area:Computer Science
- Publication Date:2023
- ISSN:1092-4388
- DOI:10.1044/2023_JSLHR-23-00043
- Accession Number:171950389
- Copyright Statement:Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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