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The alterations in multiple neurophysiological procedures are associated with frailty phenotype in older adults

BACKGROUND: Older adults oftentimes suffer from the conditions in multiple physiologic systems, interfering with their daily function and thus contributing to physical frailty. The contributions of such multisystem conditions to physical frailty have not been well characterized. METHODS: In this stu...

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Autores principales: Jiang, Xin, Zhou, Junhong, Yu, Chengyuan, Chen, Wenbo, Huang, Baofeng, Chen, Yurong, Zhong, Lilian, Guo, Yi, Geng, Qingshan, Cai, Yurun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10086197/
https://www.ncbi.nlm.nih.gov/pubmed/37056686
http://dx.doi.org/10.3389/fnagi.2023.1063322
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author Jiang, Xin
Zhou, Junhong
Yu, Chengyuan
Chen, Wenbo
Huang, Baofeng
Chen, Yurong
Zhong, Lilian
Guo, Yi
Geng, Qingshan
Cai, Yurun
author_facet Jiang, Xin
Zhou, Junhong
Yu, Chengyuan
Chen, Wenbo
Huang, Baofeng
Chen, Yurong
Zhong, Lilian
Guo, Yi
Geng, Qingshan
Cai, Yurun
author_sort Jiang, Xin
collection PubMed
description BACKGROUND: Older adults oftentimes suffer from the conditions in multiple physiologic systems, interfering with their daily function and thus contributing to physical frailty. The contributions of such multisystem conditions to physical frailty have not been well characterized. METHODS: In this study, 442 (mean age = 71.4 ± 8.1 years, 235 women) participants completed the assessment of frailty syndromes, including unintentional weight loss, exhaustion, slowness, low activity, and weakness, and were categorized into frail (≥3 conditions), pre-frail (1 or 2 conditions), and robust (no condition) status. Multisystem conditions including cardiovascular diseases, vascular function, hypertension, diabetes, sleep disorders, sarcopenia, cognitive impairment, and chronic pain were assessed. Structural equation modeling examined the interrelationships between these conditions and their associations with frailty syndromes. RESULTS: Fifty (11.3%) participants were frail, 212 (48.0%) were pre-frail, and 180 (40.7%) were robust. We observed that worse vascular function was directly associated with higher risk of slowness [standardized coefficient (SC) = −0.419, p < 0.001], weakness (SC = −0.367, p < 0.001), and exhaustion (SC = −0.347, p < 0.001). Sarcopenia was associated with both slowness (SC = 0.132, p = 0.011) and weakness (SC = 0.217, p = 0.001). Chronic pain, poor sleep quality, and cognitive impairment were associated with exhaustion (SC = 0.263, p < 0.001; SC = 0.143, p = 0.016; SC = 0.178, p = 0.004, respectively). The multinomial logistic regression showed that greater number of these conditions were associated with increased probability of being frail (odds ratio>1.23, p < 0.032). CONCLUSION: These findings in this pilot study provide novel insights into how multisystem conditions are associated with each other and with frailty in older adults. Future longitudinal studies are warranted to explore how the changes in these health conditions alter frailty status.
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spelling pubmed-100861972023-04-12 The alterations in multiple neurophysiological procedures are associated with frailty phenotype in older adults Jiang, Xin Zhou, Junhong Yu, Chengyuan Chen, Wenbo Huang, Baofeng Chen, Yurong Zhong, Lilian Guo, Yi Geng, Qingshan Cai, Yurun Front Aging Neurosci Neuroscience BACKGROUND: Older adults oftentimes suffer from the conditions in multiple physiologic systems, interfering with their daily function and thus contributing to physical frailty. The contributions of such multisystem conditions to physical frailty have not been well characterized. METHODS: In this study, 442 (mean age = 71.4 ± 8.1 years, 235 women) participants completed the assessment of frailty syndromes, including unintentional weight loss, exhaustion, slowness, low activity, and weakness, and were categorized into frail (≥3 conditions), pre-frail (1 or 2 conditions), and robust (no condition) status. Multisystem conditions including cardiovascular diseases, vascular function, hypertension, diabetes, sleep disorders, sarcopenia, cognitive impairment, and chronic pain were assessed. Structural equation modeling examined the interrelationships between these conditions and their associations with frailty syndromes. RESULTS: Fifty (11.3%) participants were frail, 212 (48.0%) were pre-frail, and 180 (40.7%) were robust. We observed that worse vascular function was directly associated with higher risk of slowness [standardized coefficient (SC) = −0.419, p < 0.001], weakness (SC = −0.367, p < 0.001), and exhaustion (SC = −0.347, p < 0.001). Sarcopenia was associated with both slowness (SC = 0.132, p = 0.011) and weakness (SC = 0.217, p = 0.001). Chronic pain, poor sleep quality, and cognitive impairment were associated with exhaustion (SC = 0.263, p < 0.001; SC = 0.143, p = 0.016; SC = 0.178, p = 0.004, respectively). The multinomial logistic regression showed that greater number of these conditions were associated with increased probability of being frail (odds ratio>1.23, p < 0.032). CONCLUSION: These findings in this pilot study provide novel insights into how multisystem conditions are associated with each other and with frailty in older adults. Future longitudinal studies are warranted to explore how the changes in these health conditions alter frailty status. Frontiers Media S.A. 2023-03-28 /pmc/articles/PMC10086197/ /pubmed/37056686 http://dx.doi.org/10.3389/fnagi.2023.1063322 Text en Copyright © 2023 Jiang, Zhou, Yu, Chen, Huang, Chen, Zhong, Guo, Geng and Cai. 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 Neuroscience
Jiang, Xin
Zhou, Junhong
Yu, Chengyuan
Chen, Wenbo
Huang, Baofeng
Chen, Yurong
Zhong, Lilian
Guo, Yi
Geng, Qingshan
Cai, Yurun
The alterations in multiple neurophysiological procedures are associated with frailty phenotype in older adults
title The alterations in multiple neurophysiological procedures are associated with frailty phenotype in older adults
title_full The alterations in multiple neurophysiological procedures are associated with frailty phenotype in older adults
title_fullStr The alterations in multiple neurophysiological procedures are associated with frailty phenotype in older adults
title_full_unstemmed The alterations in multiple neurophysiological procedures are associated with frailty phenotype in older adults
title_short The alterations in multiple neurophysiological procedures are associated with frailty phenotype in older adults
title_sort alterations in multiple neurophysiological procedures are associated with frailty phenotype in older adults
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10086197/
https://www.ncbi.nlm.nih.gov/pubmed/37056686
http://dx.doi.org/10.3389/fnagi.2023.1063322
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