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. 2013 Jul;21(7):675-84.
doi: 10.1016/j.jagp.2013.01.005. Epub 2013 Feb 6.

Speed of processing and depression affect function in older adults with mild cognitive impairment

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Speed of processing and depression affect function in older adults with mild cognitive impairment

Patrick J Brown et al. Am J Geriatr Psychiatry. 2013 Jul.

Abstract

Objectives: To evaluate the effect of depression and cognition on function in older adults with amnestic and nonamnestic mild cognitive impairment (aMCI and nonaMCI).

Design: The study uses baseline data from the National Alzheimer's Coordinating Center.

Setting: Data were collected at multiple Alzheimer's Disease Centers in the United States.

Participants: The sample included a total of 3,117 individuals with MCI, mean age = 74.37 years, SD: 9.37 (aMCI, n = 2,488; non-aMCI, n = 629).

Measurements: The 10-item Pfeffer Functional Activities Questionnaire assessed function.

Results: Depressive symptoms (Geriatric Depression Scale), memory impairment (Logical Memory II), and processing speed decrements (Digit Symbol Substitution Test) were significantly associated with functional impairment (p <0.001). Processing speed partially mediated the effect of depression on function and fully mediated the effect of executive dysfunction on function (p <0.001) in the total MCI and aMCI subsample, while in the non-aMCI subsample, processing speed mediated the effect of executive function but not the effect of depression (p = 0.20) on function.

Conclusions: The findings show that processing speed is central to the effect that depression and executive dysfunction have on functional impairment in cognitively impaired older adults. Future studies are needed to better understand the physiologic underpinnings in age-related and disease-specific decrements in processing speed, and to address the problems in the assessment of processing speed in clinical samples.

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Figures

Figure 1
Figure 1
Path analysis model depicting the relationships between depressive symptomatology, cognition and functional impairment in older adults with mild cognitive impairment. Note. Standardized probit regression coefficients (SEs) are included in the model. Covariates age, gender, education, and Hachinski score were included in each component of the model (with the exception of the path with Function as the outcome, where age and gender did not contribute to the model), but are not depicted in the figure. Function is a latent construct estimated using seven items from the Pfeffer FAQ (Items 1, 3, 5, 7–10), although model fit statistics and items are removed from figure for simplicity. GDS = 15-item Geriatric Depression Scale, Logical Mem = Logical Memory Delayed, Trails B = Trailmaking Test B (with Trailmaking Test A included as a covariate). * p < .001 ** p < .0001
Figure 2
Figure 2
Path model depicting the relationships between depressive symptomatology, cognition and functional impairment in older adults with nonamnestic mild cognitive impairment. Note. Standardized probit regression coefficients (SEs) are included in the model. Covariates age, gender, education, and Hachinski score were included in each component of the model, but are not depicted in the figure; Function is a latent construct estimated using seven items from the Pfeffer FAQ (Items 1, 3, 5, 7–10), although model fit statistics and items are removed from figure for simplicity. GDS = 15-item Geriatric Depression Scale, Trails B = Trailmaking Test B (with Trailmaking Test A included as a covariate). * p < .001 ** p < .0001

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