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Predictors of cognitive and physical decline: Results from the Health Aging and Body Composition Study

BACKGROUND: Risk factors for cognitive decline and physical decline have been studied independently, however older adults might experience decline in both areas i.e., dual decline. Risk factors associated with dual decline are largely unknown and have significant implications on health outcomes. The...

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Autores principales: Handing, Elizabeth P., Hayden, Kathleen M., Leng, Xiaoyan Iris, Kritchevsky, Stephen B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986301/
https://www.ncbi.nlm.nih.gov/pubmed/36891556
http://dx.doi.org/10.3389/fnagi.2023.1122421
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author Handing, Elizabeth P.
Hayden, Kathleen M.
Leng, Xiaoyan Iris
Kritchevsky, Stephen B.
author_facet Handing, Elizabeth P.
Hayden, Kathleen M.
Leng, Xiaoyan Iris
Kritchevsky, Stephen B.
author_sort Handing, Elizabeth P.
collection PubMed
description BACKGROUND: Risk factors for cognitive decline and physical decline have been studied independently, however older adults might experience decline in both areas i.e., dual decline. Risk factors associated with dual decline are largely unknown and have significant implications on health outcomes. The aim of this study is to explore risk factors associated with dual decline. METHODS: Using data from the Health, Aging and Body Composition (Health ABC) study, a longitudinal prospective cohort study, we examined trajectories of decline based on repeated measures of the Modified Mini-Mental State Exam (3MSE) and the Short Physical Performance Battery (SPPB) across 6 years (n=1,552). We calculated four mutually exclusive trajectories of decline and explored predictors of decline: cognitive decline (n = 306) = lowest quartile of slope on the 3MSE or 1.5 SD below mean at baseline, physical decline (n = 231) = lowest quartile of slope on the SPPB or 1.5 SD below mean at baseline, dual decline (n = 110) = lowest quartile in both measures or 1.5 SD below mean in both measures at baseline. Individuals who did not meet criteria for one of the decline groups were classified as the reference group. (n= 905). RESULTS: Multinomial logistic regression tested the association of 17 baseline risk factors with decline. Odds of dual decline where significantly higher for individuals at baseline with depressive symptoms (CES-D >16) (Odds Ratio (OR)=2.49, 95% Confidence Interval (CI): 1.05-6.29), ApoE-ε4 carrier (OR= 2.09, 95% CI: 1.06-1.95), or if individuals had lost 5+lbs in past year (OR=1.79, 95% CI: 1.13-2.84). Odds were significantly lower for individuals with a higher score on the Digit Symbol Substitution Test per standard deviation (OR per SD: 0.47, 95% CI 0.36-0.62) and faster 400-meter gait (OR per SD= 0.49, 95% CI: 0.37-0.64). CONCLUSION: Among predictors, depressive symptoms at baseline significantly increased the odds of developing dual decline but was not associated with decline in the exclusively cognitive or physical decline groups. APOE-ε4 status increased the odds for cognitive decline and dual decline but not physical decline. More research on dual decline is needed because this group represents a high risk, vulnerable subset of older adults.
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spelling pubmed-99863012023-03-07 Predictors of cognitive and physical decline: Results from the Health Aging and Body Composition Study Handing, Elizabeth P. Hayden, Kathleen M. Leng, Xiaoyan Iris Kritchevsky, Stephen B. Front Aging Neurosci Aging Neuroscience BACKGROUND: Risk factors for cognitive decline and physical decline have been studied independently, however older adults might experience decline in both areas i.e., dual decline. Risk factors associated with dual decline are largely unknown and have significant implications on health outcomes. The aim of this study is to explore risk factors associated with dual decline. METHODS: Using data from the Health, Aging and Body Composition (Health ABC) study, a longitudinal prospective cohort study, we examined trajectories of decline based on repeated measures of the Modified Mini-Mental State Exam (3MSE) and the Short Physical Performance Battery (SPPB) across 6 years (n=1,552). We calculated four mutually exclusive trajectories of decline and explored predictors of decline: cognitive decline (n = 306) = lowest quartile of slope on the 3MSE or 1.5 SD below mean at baseline, physical decline (n = 231) = lowest quartile of slope on the SPPB or 1.5 SD below mean at baseline, dual decline (n = 110) = lowest quartile in both measures or 1.5 SD below mean in both measures at baseline. Individuals who did not meet criteria for one of the decline groups were classified as the reference group. (n= 905). RESULTS: Multinomial logistic regression tested the association of 17 baseline risk factors with decline. Odds of dual decline where significantly higher for individuals at baseline with depressive symptoms (CES-D >16) (Odds Ratio (OR)=2.49, 95% Confidence Interval (CI): 1.05-6.29), ApoE-ε4 carrier (OR= 2.09, 95% CI: 1.06-1.95), or if individuals had lost 5+lbs in past year (OR=1.79, 95% CI: 1.13-2.84). Odds were significantly lower for individuals with a higher score on the Digit Symbol Substitution Test per standard deviation (OR per SD: 0.47, 95% CI 0.36-0.62) and faster 400-meter gait (OR per SD= 0.49, 95% CI: 0.37-0.64). CONCLUSION: Among predictors, depressive symptoms at baseline significantly increased the odds of developing dual decline but was not associated with decline in the exclusively cognitive or physical decline groups. APOE-ε4 status increased the odds for cognitive decline and dual decline but not physical decline. More research on dual decline is needed because this group represents a high risk, vulnerable subset of older adults. Frontiers Media S.A. 2023-02-20 /pmc/articles/PMC9986301/ /pubmed/36891556 http://dx.doi.org/10.3389/fnagi.2023.1122421 Text en Copyright © 2023 Handing, Hayden, Leng and Kritchevsky. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Aging Neuroscience
Handing, Elizabeth P.
Hayden, Kathleen M.
Leng, Xiaoyan Iris
Kritchevsky, Stephen B.
Predictors of cognitive and physical decline: Results from the Health Aging and Body Composition Study
title Predictors of cognitive and physical decline: Results from the Health Aging and Body Composition Study
title_full Predictors of cognitive and physical decline: Results from the Health Aging and Body Composition Study
title_fullStr Predictors of cognitive and physical decline: Results from the Health Aging and Body Composition Study
title_full_unstemmed Predictors of cognitive and physical decline: Results from the Health Aging and Body Composition Study
title_short Predictors of cognitive and physical decline: Results from the Health Aging and Body Composition Study
title_sort predictors of cognitive and physical decline: results from the health aging and body composition study
topic Aging Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986301/
https://www.ncbi.nlm.nih.gov/pubmed/36891556
http://dx.doi.org/10.3389/fnagi.2023.1122421
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