Exploring cognitive predictors of language in children with developmental language disorder: The role of nonverbal IQ, working memory, implicit statistical learning, and speed of automatization
IF 1.8 3区 医学Q2 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
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引用次数: 0
Abstract
Children with developmental language disorder (DLD) have varied strengths and difficulties in both language and cognition but we do not yet have a comprehensive understanding as to how these abilities are interrelated. In this study, we explore performance in language typical children and children with DLD to evaluate how different areas of nonverbal cognition predict linguistic outcomes. We investigate nonverbal intelligence, working memory, implicit statistical learning, and the speed of automatization. 77 children (54 language typical children and 23 children with DLD), aged between 6;9 and 10;8 years, completed a battery of cognitive and language tasks. Our results show between-group differences in both language and cognitive abilities. We propose a cumulative risk model, suggesting that important predictors of language in children with DLD are a combination of nonverbal working memory, nonverbal intelligence, and the speed of automatization.
期刊介绍:
The Journal of Communication Disorders publishes original articles on topics related to disorders of speech, language and hearing. Authors are encouraged to submit reports of experimental or descriptive investigations (research articles), review articles, tutorials or discussion papers, or letters to the editor ("short communications"). Please note that we do not accept case studies unless they conform to the principles of single-subject experimental design. Special issues are published periodically on timely and clinically relevant topics.