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Prediction of physical functioning and general health status trajectories on mortality among persons with cognitive impairment

BACKGROUND: The concern posed by the confluence of aging and cognitive impairment is growing in importance as the U.S. population rapidly ages. As such, we sought to examine the predictive power of physical functioning (PF) and general health status (GHS) trajectories on mortality outcomes among per...

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Autores principales: Zang, Emma, Wang, Xueqing, Shi, Yu, Wu, Bei, Fried, Terri R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9494770/
https://www.ncbi.nlm.nih.gov/pubmed/36131230
http://dx.doi.org/10.1186/s12877-022-03446-0
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author Zang, Emma
Wang, Xueqing
Shi, Yu
Wu, Bei
Fried, Terri R.
author_facet Zang, Emma
Wang, Xueqing
Shi, Yu
Wu, Bei
Fried, Terri R.
author_sort Zang, Emma
collection PubMed
description BACKGROUND: The concern posed by the confluence of aging and cognitive impairment is growing in importance as the U.S. population rapidly ages. As such, we sought to examine the predictive power of physical functioning (PF) and general health status (GHS) trajectories on mortality outcomes among persons with cognitive impairment (PCIs). METHODS: We used group-based trajectory models to identify latent group memberships for PF trajectories in 1,641 PCIs and GHS trajectories in 2,021 PCIs from the National Health and Aging Trends Survey (2011–2018) and applied logistic regressions to predict mortality using these memberships controlling for individual characteristics. RESULTS: We identified six trajectory groups for PF and four groups for GHS. Trajectory group memberships for both outcomes significantly predicted mortality. For PF, group memberships largely captured the average levels over time, and worse trajectories (i.e., lower baselines and faster declines) were associated with higher odds of death. The highest mortality risk was associated with the group experiencing a sharp decline early in its PF trajectory, although its average level across time was not the lowest. For GHS, we observed two groups with comparable average levels across time, but the one with a convex-shape trajectory had much higher mortality risks compared to the one with a concave-shape trajectory. CONCLUSIONS: Our findings highlighted that health trajectories predicted mortality among PCIs, not only because of general levels but also because of the shapes of declines. Close monitoring health deterioration of PCIs is crucial to understand the health burden of this population and to make subsequent actions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03446-0.
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spelling pubmed-94947702022-09-23 Prediction of physical functioning and general health status trajectories on mortality among persons with cognitive impairment Zang, Emma Wang, Xueqing Shi, Yu Wu, Bei Fried, Terri R. BMC Geriatr Research BACKGROUND: The concern posed by the confluence of aging and cognitive impairment is growing in importance as the U.S. population rapidly ages. As such, we sought to examine the predictive power of physical functioning (PF) and general health status (GHS) trajectories on mortality outcomes among persons with cognitive impairment (PCIs). METHODS: We used group-based trajectory models to identify latent group memberships for PF trajectories in 1,641 PCIs and GHS trajectories in 2,021 PCIs from the National Health and Aging Trends Survey (2011–2018) and applied logistic regressions to predict mortality using these memberships controlling for individual characteristics. RESULTS: We identified six trajectory groups for PF and four groups for GHS. Trajectory group memberships for both outcomes significantly predicted mortality. For PF, group memberships largely captured the average levels over time, and worse trajectories (i.e., lower baselines and faster declines) were associated with higher odds of death. The highest mortality risk was associated with the group experiencing a sharp decline early in its PF trajectory, although its average level across time was not the lowest. For GHS, we observed two groups with comparable average levels across time, but the one with a convex-shape trajectory had much higher mortality risks compared to the one with a concave-shape trajectory. CONCLUSIONS: Our findings highlighted that health trajectories predicted mortality among PCIs, not only because of general levels but also because of the shapes of declines. Close monitoring health deterioration of PCIs is crucial to understand the health burden of this population and to make subsequent actions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03446-0. BioMed Central 2022-09-21 /pmc/articles/PMC9494770/ /pubmed/36131230 http://dx.doi.org/10.1186/s12877-022-03446-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zang, Emma
Wang, Xueqing
Shi, Yu
Wu, Bei
Fried, Terri R.
Prediction of physical functioning and general health status trajectories on mortality among persons with cognitive impairment
title Prediction of physical functioning and general health status trajectories on mortality among persons with cognitive impairment
title_full Prediction of physical functioning and general health status trajectories on mortality among persons with cognitive impairment
title_fullStr Prediction of physical functioning and general health status trajectories on mortality among persons with cognitive impairment
title_full_unstemmed Prediction of physical functioning and general health status trajectories on mortality among persons with cognitive impairment
title_short Prediction of physical functioning and general health status trajectories on mortality among persons with cognitive impairment
title_sort prediction of physical functioning and general health status trajectories on mortality among persons with cognitive impairment
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9494770/
https://www.ncbi.nlm.nih.gov/pubmed/36131230
http://dx.doi.org/10.1186/s12877-022-03446-0
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