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Health factors associated with cognitive frailty in older adults living in the community

INTRODUCTION: This study aims to investigate the health factors associated with cognitive frailty in frail and pre-frail older adults living in the community. METHODS: A total of 233 older adults meeting Fried’s criteria for pre-frailty or frailty were included. Cognitive status was evaluated using...

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Autores principales: Corral-Pérez, Juan, Casals, Cristina, Ávila-Cabeza-de-Vaca, Laura, González-Mariscal, Andrea, Martínez-Zaragoza, Ildefonsa, Villa-Estrada, Francisca, Reina-Campos, Remedios, Vázquez-Sánchez, María Á.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10544977/
https://www.ncbi.nlm.nih.gov/pubmed/37790284
http://dx.doi.org/10.3389/fnagi.2023.1232460
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author Corral-Pérez, Juan
Casals, Cristina
Ávila-Cabeza-de-Vaca, Laura
González-Mariscal, Andrea
Martínez-Zaragoza, Ildefonsa
Villa-Estrada, Francisca
Reina-Campos, Remedios
Vázquez-Sánchez, María Á.
author_facet Corral-Pérez, Juan
Casals, Cristina
Ávila-Cabeza-de-Vaca, Laura
González-Mariscal, Andrea
Martínez-Zaragoza, Ildefonsa
Villa-Estrada, Francisca
Reina-Campos, Remedios
Vázquez-Sánchez, María Á.
author_sort Corral-Pérez, Juan
collection PubMed
description INTRODUCTION: This study aims to investigate the health factors associated with cognitive frailty in frail and pre-frail older adults living in the community. METHODS: A total of 233 older adults meeting Fried’s criteria for pre-frailty or frailty were included. Cognitive status was evaluated using the Short Portable Mental Status Questionnaire. Health factors encompassed nutritional status (evaluated using the Mini Nutritional Assessment tool, body mass index, and waist, arm, and leg circumferences), physical function (assessed with the Short Physical Performance Battery), quality of life (measured with the total index of the EuroQoL 5-Dimension 5-Level questionnaire - EQoL-Index -, and the Visual-Analogue Scale - QoL-VAS - for today’s health state), as well as sleep, physical activity, and inactivity estimated through wrist-worn accelerometers. Multivariable logistic regression analyses were conducted to identify potential predictors of cognitive frailty, considering age as a confounding factor. RESULTS: Cognitive frail participants exhibited advanced age, heightened self-reported exhaustion, diminished overall physical performance, reduced leg perimeter, decreased engagement in moderate-to-vigorous physical activity, and higher levels of inactivity (all p<0.05). However, after adjusting for age, only QoL-VAS emerged as a cognitive frailty risk factor (Odds ratio: 1.024), while the EQoL-Index, calf perimeter, and levels of moderate-to-vigorous physical activity were identified as protective factors (Odds ratios: 0.025, 0.929, and 0.973, respectively). DISCUSSION: This study highlights the complex relationship between non-modifiable factors such as age, and modifiable factors including quality of life, nutritional status, and physical activity in the development of cognitive frailty among older adults with a frailty phenotype living in the community.
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spelling pubmed-105449772023-10-03 Health factors associated with cognitive frailty in older adults living in the community Corral-Pérez, Juan Casals, Cristina Ávila-Cabeza-de-Vaca, Laura González-Mariscal, Andrea Martínez-Zaragoza, Ildefonsa Villa-Estrada, Francisca Reina-Campos, Remedios Vázquez-Sánchez, María Á. Front Aging Neurosci Aging Neuroscience INTRODUCTION: This study aims to investigate the health factors associated with cognitive frailty in frail and pre-frail older adults living in the community. METHODS: A total of 233 older adults meeting Fried’s criteria for pre-frailty or frailty were included. Cognitive status was evaluated using the Short Portable Mental Status Questionnaire. Health factors encompassed nutritional status (evaluated using the Mini Nutritional Assessment tool, body mass index, and waist, arm, and leg circumferences), physical function (assessed with the Short Physical Performance Battery), quality of life (measured with the total index of the EuroQoL 5-Dimension 5-Level questionnaire - EQoL-Index -, and the Visual-Analogue Scale - QoL-VAS - for today’s health state), as well as sleep, physical activity, and inactivity estimated through wrist-worn accelerometers. Multivariable logistic regression analyses were conducted to identify potential predictors of cognitive frailty, considering age as a confounding factor. RESULTS: Cognitive frail participants exhibited advanced age, heightened self-reported exhaustion, diminished overall physical performance, reduced leg perimeter, decreased engagement in moderate-to-vigorous physical activity, and higher levels of inactivity (all p<0.05). However, after adjusting for age, only QoL-VAS emerged as a cognitive frailty risk factor (Odds ratio: 1.024), while the EQoL-Index, calf perimeter, and levels of moderate-to-vigorous physical activity were identified as protective factors (Odds ratios: 0.025, 0.929, and 0.973, respectively). DISCUSSION: This study highlights the complex relationship between non-modifiable factors such as age, and modifiable factors including quality of life, nutritional status, and physical activity in the development of cognitive frailty among older adults with a frailty phenotype living in the community. Frontiers Media S.A. 2023-09-18 /pmc/articles/PMC10544977/ /pubmed/37790284 http://dx.doi.org/10.3389/fnagi.2023.1232460 Text en Copyright © 2023 Corral-Pérez, Casals, Ávila-Cabeza-de-Vaca, González-Mariscal, Martínez-Zaragoza, Villa-Estrada, Reina-Campos and Vázquez-Sánchez. 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
Corral-Pérez, Juan
Casals, Cristina
Ávila-Cabeza-de-Vaca, Laura
González-Mariscal, Andrea
Martínez-Zaragoza, Ildefonsa
Villa-Estrada, Francisca
Reina-Campos, Remedios
Vázquez-Sánchez, María Á.
Health factors associated with cognitive frailty in older adults living in the community
title Health factors associated with cognitive frailty in older adults living in the community
title_full Health factors associated with cognitive frailty in older adults living in the community
title_fullStr Health factors associated with cognitive frailty in older adults living in the community
title_full_unstemmed Health factors associated with cognitive frailty in older adults living in the community
title_short Health factors associated with cognitive frailty in older adults living in the community
title_sort health factors associated with cognitive frailty in older adults living in the community
topic Aging Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10544977/
https://www.ncbi.nlm.nih.gov/pubmed/37790284
http://dx.doi.org/10.3389/fnagi.2023.1232460
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