دورية أكاديمية

Cognitive functions as predictors of daily functioning among older adults.

التفاصيل البيبلوغرافية
العنوان: Cognitive functions as predictors of daily functioning among older adults.
المؤلفون: Wardana, Nido Dipo, Zhang, Zhenyu, Lejko, Nena, Opmeer, Esther, De Deyn, Peter Paul, Reesink, Fransje E, Spikman, Jacoba M, Herrmann, Christoph S, Enriquez‐Geppert, Stefanie, Aleman, André, Ćurčić‐Blake, Branislava
المصدر: Alzheimer's & Dementia: The Journal of the Alzheimer's Association; Dec2023 Supplement 18, Vol. 19, p1-2, 2p
مستخلص: Background: Cognitive and daily functioning are conceptually critical in distinguishing Mild Cognitive Impairments (MCI) from dementia (Petersen, 2004), but findings on the association between the two have not always been consistent (e.g., Putcha & Tremont, 2016; Teng et al., 2010). We aimed to investigate whether cognitive functions could predict daily functioning among older adults. Method: A total of 182 participants were included in this study, aged between 51 and 92 years. Cognitive functioning was measured using various neuropsychological tests which target different domains (e.g., trail‐making test, WAIS digit span, verbal fluency), while daily functioning was measured using the Functional Activity Questionnaire (FAQ) and the Instrumental Activities of Daily Living (IADL). The Geriatric Depression Scale (DGS) was used to assess depression as a possible moderator. The association between cognitive domains and daily functioning was examined using Partial Least Squares Structural Equation Modelling in R with the "seminr" package. Result: A model with three cognitive predictors and no moderator provided the best fit to the data. However, the model only explained 16.7% of the total variance. Furthermore, only memory was significantly linked to daily functioning (b = ‐0.367, 95% CI [‐0.53 ‐0.18]), while language and attention/executive functions were not. Memory, language, and daily functioning showed good construct validity (all AVE > 0.5 and HTMT < 0.9), but "attention/executive function" construct suffered from poor convergent validity (AVE = 0.43) with only two out of its seven indicators demonstrating loading larger than 0.708. Also unexpectedly, depression was not found to be a significant predictor or a moderator. Conclusion: Our preliminary results suggest that cognitive function explains a small portion of the daily functioning variance and memory was found to be the best cognitive predictor. Indeed, in addition to executive function, memory has been rather consistently mentioned as crucial in the maintenance of daily functioning (Pérès et al., 2008; Royall et al., 2007). The lack of evidence for the role of executive function in this study might be due to the poor convergence of the "attention/executive function" construct in our model, suggesting that it may represent different cognitive functions and should be investigated further. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Supplemental Index
الوصف
تدمد:15525260
DOI:10.1002/alz.076852