Cross-cultural adaptation and validation of the Australian National University Alzheimer Disease Risk Index (ANU-ADRI) for Chinese community-dwelling residents: A cross-sectional Study

被引：0

作者：

Zhi, Shengze ^{[1
]}

Zhang, Shuang ^{[1
]}

Yang, Dongliang ^{[2
]}

Sun, Juanjuan ^{[1
]}

Gao, Shizheng ^{[1
]}

Song, Dongpo ^{[1
]}

Ma, Dongfei ^{[1
]}

Fang, Shuyan ^{[1
]}

Zhong, Qiqing ^{[1
]}

Wu, Yifan ^{[1
]}

Sun, Jiao ^{[1
]}

机构：

[1] Jilin Univ, Sch Nursing, 965 Xinjiang St, Changchun, Jilin, Peoples R China

[2] Cangzhou Med Coll, Cangzhou, Hebei, Peoples R China

来源：

GERIATRIC NURSING | 2024年 / 58卷

关键词：

Alzheimer's disease; Adaptation; Chinese version; Psychometrics; Risk factors; Validation; DEMENTIA RISK;

D O I：

10.1016/j.gerinurse.2024.05.031

中图分类号：

R592 [老年病学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 100203 ;

摘要：

Objective: To cross-culturally adapt the Australian National University Alzheimer Disease Risk Index (ANUADRI) and verify the reliability and validity of its cognitive activity domain. Methods: According to Beaton's guidelines, the ANU-ADRI was were translated into Chinese. The psychometric properties of ANU-ADRI its cognitive activity was conducted among community-dwelling residents (n = 442) in Changchun, Harbin and Hegang from December 2021 to July 2023. Results: The Chinese version of the ANU-ADRI had good content validity and face validity. Exploratory factor analysis of cognitive activity revealed a 3-factor structure, with a cumulative variance contribution rate of 64.124 %. Confirmatory factor analysis revealed a good model fit (x2/df =1.664, RMSEA = 0.055, RMR = 0.090, GFI = 0.942, CFI = 0.919, IFI = 0.921, TLI = 0.902, and NFI = 0.824). The internal consistency (Cronbach's a = 0.807) and test-retest reliability (ICC = 0.787) were considered satisfactory. Conclusion: The ANU-ADRI showed acceptable reliability and validity for assessing risk factors for Alzheimer's disease among middle-aged and elderly community-dwelling residents. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

引用

页码：225 / 231

页数：7

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