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失聪人群的蒙特利尔认知评估的跨文化研究。

A cross-cultural study of the Montreal Cognitive Assessment for people with hearing impairment.

机构信息

Centre for Ageing, Cognition, and Wellbeing, School of Psychological Sciences, Macquarie University, Macquarie Park, New South Wales, Australia.

European University, Nicosia, Cyprus.

出版信息

J Am Geriatr Soc. 2024 Oct;72(10):3156-3162. doi: 10.1111/jgs.19020. Epub 2024 Jun 7.

Abstract

BACKGROUND

Cognitive screening tools enable the detection of cognitive impairment, facilitate timely intervention, inform clinical care, and allow long-term planning. The Montreal Cognitive Assessment for people with hearing impairment (MoCA-H) was developed as a reliable cognitive screening tool for people with hearing loss. Using the same methodology across four languages, this study examined whether cultural or linguistic factors affect the performance of the MoCA-H.

METHODS

The current study investigated the performance of the MoCA-H across English, German, French, and Greek language groups (n = 385) controlling for demographic factors known to affect the performance of the MoCA-H.

RESULTS

In a multiple regression model accounting for age, sex, and education, cultural-linguistic group accounted for 6.89% of variance in the total MoCA-H score. Differences between languages in mean score of up to 2.6 points were observed.

CONCLUSIONS

Cultural or linguistic factors have a clinically significant impact on the performance of the MoCA-H such that optimal performance cut points for identification of cognitive impairment derived in English-speaking populations are likely inappropriate for use in non-English speaking populations. To ensure reliable identification of cognitive impairment, it is essential that locally appropriate performance cut points are established for each translation of the MoCA-H.

摘要

背景

认知筛查工具可用于检测认知障碍,有助于及时干预,为临床护理提供信息,并进行长期规划。专为听力障碍人群设计的蒙特利尔认知评估(MoCA-H)是一种可靠的认知筛查工具。本研究采用相同的方法在四种语言中进行测试,旨在探讨文化或语言因素是否会影响 MoCA-H 的表现。

方法

本研究共纳入 385 名英语、德语、法语和希腊语人群,调查了 MoCA-H 的表现,并控制了已知会影响 MoCA-H 表现的人口统计学因素。

结果

在一个可以解释 6.89% MoCA-H 总分差异的多元回归模型中,文化语言群体因素占比 6.89%。观察到语言间的平均分数差异最大可达 2.6 分。

结论

文化或语言因素对 MoCA-H 的表现有显著影响,因此在英语人群中确定认知障碍的最佳性能截断值可能不适合非英语人群使用。为了确保认知障碍的可靠识别,有必要为 MoCA-H 的每个翻译版本建立当地适用的性能截断值。

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