Cross‐cultural adaptation and validation of everyday functioning for traditional Chinese in Taiwan

Abstract Background Detecting functional performance decline from normal aging to dementia is critical for early detection and intervention. The informant‐based A‐IADL‐Q‐SV has been demonstrated with good psychometric properties. The aims of this study were to: (1) translate, culturally adapt, and validate the Traditional Chinese version of the A‐IADL‐Q‐SV‐TC for Taiwanese; (2) evaluate the psychometric properties. Methods We conducted the forward and backward translations with culture adaptation, followed by the consensus meeting with the original developer. The psychometric properties were investigated in both community and memory clinic settings. The Mini‐Mental State Examination (MMSE) and ICF‐based IADL scales were evaluated to test the construct validity and concurrent validity, respectively. Furthermore, diagnoses were established in a multidisciplinary consensus meeting, independent of the A‐IADL‐Q‐SV‐TC scores. The discriminate validity was examined by investigating the difference in A‐IADL‐Q‐SV‐TC between diagnostic groups across the dementia spectrum as well as the optimal cut‐off score to differentiate MCI from cognitively intact populations. Results 146 informants of participants with normal cognition (NC), subjective cognitive decline (SCD), mild cognitive impairment (MCI), and dementia participated this study. Results showed strong correlation between A‐IADL‐Q‐SV‐TC T‐score and both MMSE (r = .850, p <.001) and ICF‐based IADL scales (CDI, r = ‐.874, p <.001; DI, r = ‐.903, p <.001). As for the discriminate validity, participants diagnosed with cognitive impairment had lower A‐IADL‐SQ T‐scores (M= 45. 68, SD = 13.92) than participants without cognitive impairment (M = 65.03, SD = 4.53), t (85.521) = 11.227, p < .001. Furthermore, the overall diagnostic accuracy based on the AUC was 0.915 (95% CI: 0.87‐ 0.96) for the A‐IADL‐Q‐SV‐TC. The optimal cut‐off score for A‐IADL‐Q‐SV‐TC to differentiate MCI from cognitively intact populations was 54.58, resulting in a sensitivity of 0.72 and specificity of 0.98. Conclusions We demonstrated the A‐IADL‐SQ‐TC has sound psychometric properties as a valuable diagnostic tool.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.090707
Primary Topic
Educational Environments and Student Outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Cross‐cultural adaptation and validation of everyday functioning for traditional Chinese in Taiwan

Cheng‐En Wu, Jung‐Lung Hsu, I‐Ching Chuang, Sietske A.M. Sikkes et al.
Alzheimer s & Dementia
Educational Environments and Student Outcomes
article

Cross‐cultural adaptation and validation of everyday functioning for traditional Chinese in Taiwan

Cheng‐En Wu, Jung‐Lung Hsu, I‐Ching Chuang, Sietske A.M. Sikkes, Yan-Jia Huang, Poyu Chen
article en

Abstract

Abstract Background Detecting functional performance decline from normal aging to dementia is critical for early detection and intervention. The informant‐based A‐IADL‐Q‐SV has been demonstrated with good psychometric properties. The aims of this study were to: (1) translate, culturally adapt, and validate the Traditional Chinese version of the A‐IADL‐Q‐SV‐TC for Taiwanese; (2) evaluate the psychometric properties. Methods We conducted the forward and backward translations with culture adaptation, followed by the consensus meeting with the original developer. The psychometric properties were investigated in both community and memory clinic settings. The Mini‐Mental State Examination (MMSE) and ICF‐based IADL scales were evaluated to test the construct validity and concurrent validity, respectively. Furthermore, diagnoses were established in a multidisciplinary consensus meeting, independent of the A‐IADL‐Q‐SV‐TC scores. The discriminate validity was examined by investigating the difference in A‐IADL‐Q‐SV‐TC between diagnostic groups across the dementia spectrum as well as the optimal cut‐off score to differentiate MCI from cognitively intact populations. Results 146 informants of participants with normal cognition (NC), subjective cognitive decline (SCD), mild cognitive impairment (MCI), and dementia participated this study. Results showed strong correlation between A‐IADL‐Q‐SV‐TC T‐score and both MMSE (r = .850, p <.001) and ICF‐based IADL scales (CDI, r = ‐.874, p <.001; DI, r = ‐.903, p <.001). As for the discriminate validity, participants diagnosed with cognitive impairment had lower A‐IADL‐SQ T‐scores (M= 45. 68, SD = 13.92) than participants without cognitive impairment (M = 65.03, SD = 4.53), t (85.521) = 11.227, p < .001. Furthermore, the overall diagnostic accuracy based on the AUC was 0.915 (95% CI: 0.87‐ 0.96) for the A‐IADL‐Q‐SV‐TC. The optimal cut‐off score for A‐IADL‐Q‐SV‐TC to differentiate MCI from cognitively intact populations was 54.58, resulting in a sensitivity of 0.72 and specificity of 0.98. Conclusions We demonstrated the A‐IADL‐SQ‐TC has sound psychometric properties as a valuable diagnostic tool.

Alzheimer s & DementiaVol. 20(S2)
Chang Gung University (TW), Taoyuan Chang Gung Memorial Hospital (TW), Taipei City Hospital (TW), Amsterdam University Medical Centers (NL), Vrije Universiteit Amsterdam (NL)
Reduced inequalities
Openalex Percentile: Top 64%
Educational Environments and Student Outcomes
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