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8 岁儿童认知能力与语言障碍的关联:基于人群的临床样本。

The association of cognitive abilities with language disorder in 8-year-old children: A population-based clinical sample.

机构信息

Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway.

Language Acquisition and Language Processing Lab, Department of Language and Literature, Norwegian University of Science and Technology, Trondheim, Norway.

出版信息

Int J Lang Commun Disord. 2023 Jul-Aug;58(4):1268-1285. doi: 10.1111/1460-6984.12861. Epub 2023 Feb 14.

Abstract

BACKGROUND

Despite accumulated evidence that language development depends on basic cognitive processes, the balance in contributions of verbal and non-verbal cognitive skills to language abilities is still underexplored. Little is known about which cognitive measures best predict the degree of severity in children with language disorder (LD).

AIMS

To examine the association between verbal and non-verbal cognitive abilities with language abilities in typically developing and language impaired 8-year-old children, as well as which cognitive abilities are most effective in distinguishing LD severity levels.

METHODS & PROCEDURES: Children (N = 509) from the Language-8 Study, which oversampled probable cases of children with LD from a population-based cohort in Norway, were assessed at 8 years. Language skills were assessed using the Norwegian Clinical Evaluation of Language Fundamentals-4 (CELF-4). Children's verbal and non-verbal cognitive abilities were assessed via standardized cognitive measures. An exploratory factor analysis (EFA) was first conducted to uncover the underlying factor structure of the cognitive variables. Using a hierarchical multiple regression analysis, we then examined to what extent the non-verbal cognition factor explained language abilities above and beyond verbal cognition factors. Lastly, multinomial logistic regression was used to examine which cognitive measures best predicted the degree of severity in the children with LD.

OUTCOMES & RESULTS: The EFA resulted in three factors (Verbal Cognition, Processing Speed and Memory, and Non-Verbal Cognition). The hierarchical multiple regression analysis revealed that all three cognitive factors contributed significantly to individual variation in language abilities. Non-Verbal Cognition explained 5.4% variance in language abilities above and beyond that accounted for by Verbal Cognition and Processing Speed and Memory. Results from the multinomial logistic regression analysis indicated that cognitive subtests, including Familiar Sequences, WASI Vocabulary and WASI Similarities, not only distinguished LD from typically developing children, but were also efficient in distinguishing severity of LD symptoms.

CONCLUSIONS & IMPLICATIONS: This study confirms concurrent links between language and non-verbal cognitive skills above and beyond the contribution of verbal cognitive skills. The results provide further evidence that children with LD experience both language and cognitive problems in mid-childhood. Our findings suggest implications for LD intervention and diagnosis. The findings support the importance of measuring both verbal and non-verbal cognitive skills when making an LD diagnosis, and point to the potential of targeting underlying cognitive skills as one strategy to support language abilities.

WHAT THIS PAPER ADDS

What is already known on the subject Language development is dependent on basic cognitive processes. These include both verbal and non-verbal cognitive abilities. Children with LD often experience both language and cognitive problems. There is evidence that performance on cognitive tests may be associated with the degree of severity of LD. What this paper adds to existing knowledge The current results from a large population-based cohort establish that a number of verbal and non-verbal cognitive abilities are tightly linked to variation in language abilities and the degree of severity of LD. Our study confirms concurrent links between language and non-verbal cognitive abilities above and beyond the contribution of verbal cognitive abilities. We also identify specific verbal and non-verbal cognitive tests that distinguish between typical children and children with LD, as well as LD severity. What are the potential or actual clinical implications of this work? Our findings support the importance of measuring both verbal and non-verbal cognitive skills when making an LD diagnosis. Our findings also point to the potential of targeting underlying cognitive skills as one strategy to support language abilities. We suggest that future intervention studies focus on the impact of non-verbal cognitive skills on language development in children with LD.

摘要

背景

尽管有大量证据表明语言发展依赖于基本认知过程,但言语和非言语认知技能对语言能力的贡献平衡仍未得到充分探索。对于哪些认知测量最能预测语言障碍(LD)儿童的严重程度,人们知之甚少。

目的

检查言语和非言语认知能力与典型发展和语言障碍儿童语言能力之间的关联,以及哪些认知能力最能有效区分 LD 严重程度。

方法和程序

来自语言-8 研究的儿童(N=509),该研究从挪威基于人群的队列中对可能患有 LD 的儿童进行了抽样,在 8 岁时进行了评估。语言技能使用挪威临床语言基础知识评估-4(CELF-4)进行评估。儿童的言语和非言语认知能力通过标准化认知测试进行评估。首先进行探索性因素分析(EFA),以揭示认知变量的潜在因素结构。然后,我们使用分层多元回归分析,检查非言语认知因素在多大程度上解释了语言能力,而不仅仅是言语认知因素。最后,使用多项逻辑回归来检查哪些认知测量最能预测 LD 儿童的严重程度。

结果和结论

EFA 产生了三个因素(言语认知、加工速度和记忆、非言语认知)。分层多元回归分析显示,所有三个认知因素都对个体语言能力的变化有显著贡献。非言语认知在言语认知和加工速度和记忆所解释的语言能力之外,解释了 5.4%的方差。多项逻辑回归分析的结果表明,认知子测试,包括熟悉序列、WASI 词汇和 WASI 相似性,不仅可以区分 LD 与典型发育儿童,而且还可以有效区分 LD 症状的严重程度。

本研究证实了语言和非言语认知技能之间的并发联系,超出了言语认知技能的贡献。研究结果进一步表明,LD 儿童在儿童中期会同时经历语言和认知问题。我们的研究结果表明,LD 干预和诊断具有重要意义。研究结果支持在进行 LD 诊断时测量言语和非言语认知技能的重要性,并指出以潜在认知技能为目标作为支持语言能力的一种策略的潜力。

研究背景

语言发展依赖于基本认知过程。这些包括言语和非言语认知能力。LD 儿童通常同时经历语言和认知问题。有证据表明,认知测试的表现可能与 LD 的严重程度有关。

现有认知

当前来自大型基于人群队列的结果表明,许多言语和非言语认知能力与语言能力的变化和 LD 的严重程度密切相关。本研究证实了言语和非言语认知能力之间的并发联系,超出了言语认知能力的贡献。我们还确定了区分典型儿童和 LD 儿童以及 LD 严重程度的特定言语和非言语认知测试。

研究意义

我们的研究结果支持在进行 LD 诊断时测量言语和非言语认知技能的重要性。我们的研究结果还指出,以潜在认知技能为目标作为支持语言能力的一种策略的潜力。我们建议未来的干预研究重点关注非言语认知技能对 LD 儿童语言发展的影响。

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