Hamdani Saboor, Chan Angel, Kan Rachel, Chiat Shula, Gagarina Natalia, Haman Ewa, Łuniewska Magdalena, Polišenská Kamila, Armon-Lotem Sharon
Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Research Centre for Language, Cognition, and Neuroscience, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Int J Speech Lang Pathol. 2025 Apr;27(2):157-171. doi: 10.1080/17549507.2024.2326095. Epub 2024 May 20.
A long-standing issue in identifying developmental language disorder (DLD) in multilingual children is differentiating between effects of language experience and genuine impairment when clinicians often lack suitable norm-referenced assessments. In this tutorial we demonstrate, via a case study, that it is feasible to identify DLD in a multilingual child using the CATALISE diagnostic criteria, Language Impairment Testing in Multilingual Settings (LITMUS) assessment tools, and telepractice.
This tutorial features a case study of one 6-year-old Urdu-Cantonese multilingual ethnic minority child, and seven age- and grade-matched multilinguals. They were tested via Zoom using Urdu versions of the Multilingual Assessment Instrument for Narratives (LITMUS-MAIN), the Crosslinguistic Lexical Task (LITMUS-CLT), the Crosslinguistic Nonword Repetition Test (LITMUS-CL-NWR), and the Sentence Repetition Task (LITMUS-SRep).
The child scored significantly lower in the LITMUS tests compared to her peers in her best/first language of Urdu. Together with the presence of negative functional impact and poor prognostic features, and absence of associated biomedical conditions, the findings suggest this participant could be identified as having DLD using the CATALISE diagnostic criteria.
The result demonstrates the promise of this approach to collect reference data and identify DLD in multilingual children. The online LITMUS battery has the potential to support identification of multilingual DLD in any target language.
在识别多语言儿童的发育性语言障碍(DLD)时,一个长期存在的问题是,当临床医生通常缺乏合适的常模参照评估时,难以区分语言经验的影响和真正的损伤。在本教程中,我们通过一个案例研究表明,使用CATALISE诊断标准、多语言环境中的语言损伤测试(LITMUS)评估工具和远程医疗实践来识别多语言儿童的DLD是可行的。
本教程以一名6岁的乌尔都语-粤语多语言少数民族儿童以及七名年龄和年级匹配的多语言儿童为例进行研究。他们通过Zoom使用乌尔都语版本的多语言叙事评估工具(LITMUS-MAIN)、跨语言词汇任务(LITMUS-CLT)、跨语言非词重复测试(LITMUS-CL-NWR)和句子重复任务(LITMUS-SRep)进行测试。
与以乌尔都语作为其最佳/第一语言的同龄人相比,该儿童在LITMUS测试中的得分显著更低。结合负面功能影响和不良预后特征的存在,以及不存在相关生物医学状况,研究结果表明,根据CATALISE诊断标准,该参与者可被认定为患有DLD。
结果表明这种收集参考数据并识别多语言儿童DLD的方法具有前景。在线LITMUS测试组有潜力支持对任何目标语言的多语言DLD进行识别。