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推理阅读理解中的语音工作记忆与语言处理速度

Phonological working memory and linguistic processing speed in inferential reading comprehension.

作者信息

Candal Daniela Balonyi, de Avila Clara Regina Brandão

机构信息

Department of Speech Language and Hearing Sciences, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.

出版信息

Psicol Reflex Crit. 2025 Jul 1;38(1):20. doi: 10.1186/s41155-025-00356-z.

Abstract

BACKGROUND

Phonological working memory has been known as an essential predictor of reading comprehension in children. However, less attention has been paid to processing speed and its interaction with working memory.

MAIN BODY

Research has indicated that higher processing speed of linguistic information contributes to greater availability of memory resources used to comprehend a read text.

OBJECTIVE

We tested, using simple mediation models, whether phonological working memory can predict inferential reading comprehension when mediated by linguistic processing speed.

METHODS

To do this, we analyzed information from a database on the assessment of phonological memory (digit span Backward and Forward task), language processing speed (Verbal Fluency and Rapid Automated Naming) and inferential reading comprehension of 66 typical 5th grade students.

RESULTS

Both phonological working memory and cognitive-linguistic information processing speed were able to predict the inferential reading comprehension of students in the 5th year of elementary school. The mediation analysis showed that rapid automatized naming and working memory (digit span Backward and Forward Task) together, but independently, were able to predict inferential reading comprehension.

CONCLUSION

When measured by semantic verbal fluency, linguistic processing speed mediated the prediction of phonological working memory (digits in Forward and Backward order) in inferential reading comprehension.

摘要

背景

语音工作记忆一直被认为是儿童阅读理解的重要预测指标。然而,人们对处理速度及其与工作记忆的相互作用关注较少。

主体

研究表明,语言信息的处理速度越快,用于理解阅读文本的记忆资源就越丰富。

目的

我们使用简单中介模型测试了语音工作记忆在由语言处理速度介导时是否能预测推理阅读理解。

方法

为此,我们分析了一个数据库中的信息,该数据库涉及66名典型的五年级学生的语音记忆评估(数字广度顺背和倒背任务)、语言处理速度(言语流畅性和快速自动命名)以及推理阅读理解。

结果

语音工作记忆和认知语言信息处理速度都能够预测小学五年级学生的推理阅读理解。中介分析表明,快速自动命名和工作记忆(数字广度顺背和倒背任务)共同但独立地能够预测推理阅读理解。

结论

当通过语义言语流畅性进行测量时,语言处理速度在推理阅读理解中介导了语音工作记忆(数字顺背和倒背)的预测作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/208f/12214213/1a63a601b319/41155_2025_356_Fig1_HTML.jpg

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