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      Specific depression dimensions are associated with a faster rate of cognitive decline in older adults

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          Abstract

          Introduction

          Understanding the relationship between different depression presentations and cognitive outcome may elucidate high‐risk sub‐groups for cognitive decline.

          Methods

          In this study we utilized longitudinal data from the National Alzheimer's Coordinating Center (NACC) on 16,743 initially not demented older adults followed every 12 months for an average of 5 years. Depression dimensions were defined based on the 15‐item Geriatric Depression Scale (GDS‐15), that is, dysphoric mood, Withdrawal‐Apathy‐Vigor (WAV), anxiety, hopelessness, and subjective memory complaint (SMC).

          Results

          After adjustment for sociodemographic and clinical covariates, SMC and hopelessness were associated with faster decline in global cognition and all cognitive domains and WAV with decline executive function. Dysphoric mood and anxiety were not associated with a faster cognitive decline in any of the cognitive domains.

          Discussion

          Different depression dimensions had different associations with the rate of cognitive decline, suggesting distinct pathophysiology and the need for more targeted interventions.

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          Most cited references52

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          Random effects structure for confirmatory hypothesis testing: Keep it maximal.

          Linear mixed-effects models (LMEMs) have become increasingly prominent in psycholinguistics and related areas. However, many researchers do not seem to appreciate how random effects structures affect the generalizability of an analysis. Here, we argue that researchers using LMEMs for confirmatory hypothesis testing should minimally adhere to the standards that have been in place for many decades. Through theoretical arguments and Monte Carlo simulation, we show that LMEMs generalize best when they include the maximal random effects structure justified by the design. The generalization performance of LMEMs including data-driven random effects structures strongly depends upon modeling criteria and sample size, yielding reasonable results on moderately-sized samples when conservative criteria are used, but with little or no power advantage over maximal models. Finally, random-intercepts-only LMEMs used on within-subjects and/or within-items data from populations where subjects and/or items vary in their sensitivity to experimental manipulations always generalize worse than separate F 1 and F 2 tests, and in many cases, even worse than F 1 alone. Maximal LMEMs should be the 'gold standard' for confirmatory hypothesis testing in psycholinguistics and beyond.
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            Heart Disease and Stroke Statistics—2015 Update: A Report From the American Heart Association

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              Measurement of functional activities in older adults in the community.

              Two measures of social function designed for community studies of normal aging and mild senile dementia were evaluated in 195 older adults who underwent neurological, cognitive, and affective assessment. An examining and a reviewing neurologist and a neurologically trained nurse independently rated each on a Scale of Functional Capacity. Interrater reliability was high (examining vs. reviewing neurologist, r = .97; examining neurologist vs. nurse, tau b = .802; p less than .001 for both comparisons). Estimates correlated well with an established measure of social function and with results of cognitive tests. Alternate informants evaluated participants on the Functional Activities Questionnaire and the Instrumental Activities of Daily Living Scale. The Functional Activities Questionnaire was superior to the Instrumental Activities of Daily scores. Used alone as a diagnostic tool, the Functional Activities Questionnaire was more sensitive than distinguishing between normal and demented individuals.
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                Author and article information

                Contributors
                laili.soleimani@mssm.edu
                Journal
                Alzheimers Dement (Amst)
                Alzheimers Dement (Amst)
                10.1002/(ISSN)2352-8729
                DAD2
                Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring
                John Wiley and Sons Inc. (Hoboken )
                2352-8729
                15 March 2022
                2022
                : 14
                : 1 ( doiID: 10.1002/dad2.v14.1 )
                : e12268
                Affiliations
                [ 1 ] Department of Psychiatry The Icahn School of Medicine at Mount Sinai New York New York USA
                [ 2 ] The Joseph Sagol Neuroscience Center Sheba Medical Center Tel‐Hashomer Israel
                [ 3 ] James J Peters VAMC Bronx New York USA
                Author notes
                [*] [* ] Correspondence

                Laili Soleimani, Department of Psychiatry, The Icahn School of Medicine at Mount Sinai, One Gustave Levy Place, New York, NY 10029, USA.

                Email: laili.soleimani@ 123456mssm.edu

                Article
                DAD212268
                10.1002/dad2.12268
                8923346
                35317432
                1ebae83d-37ab-4cb3-ba55-4c2fafaa32d0
                © 2022 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 02 January 2022
                : 08 October 2021
                : 22 October 2021
                Page count
                Figures: 3, Tables: 2, Pages: 11, Words: 6237
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.2 mode:remove_FC converted:15.03.2022

                cognitive decline,depression dimensions,older adults

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