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Latent Subtype of Cognitive Frailty among Multimorbidity Older Adults and Their Association with Social Relationships

This study aimed to explore all the relevant subtypes of cognitive frailty among Japanese community-dwelling older adults with multimorbidity. Moreover, it examined the associations between these potential subtypes of cognitive frailty and social relationships. This study targeted relevant cross-sec...

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Autores principales: Jiao, Dandan, Li, Xiang, Zhu, Zhu, Zhang, Jinrui, Liu, Yang, Cui, Mingyu, Matsumoto, Munenori, Banu, Alpona Afsari, Sawada, Yuko, Watanabe, Taeko, Tanaka, Emiko, Anme, Tokie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341508/
https://www.ncbi.nlm.nih.gov/pubmed/37444767
http://dx.doi.org/10.3390/healthcare11131933
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author Jiao, Dandan
Li, Xiang
Zhu, Zhu
Zhang, Jinrui
Liu, Yang
Cui, Mingyu
Matsumoto, Munenori
Banu, Alpona Afsari
Sawada, Yuko
Watanabe, Taeko
Tanaka, Emiko
Anme, Tokie
author_facet Jiao, Dandan
Li, Xiang
Zhu, Zhu
Zhang, Jinrui
Liu, Yang
Cui, Mingyu
Matsumoto, Munenori
Banu, Alpona Afsari
Sawada, Yuko
Watanabe, Taeko
Tanaka, Emiko
Anme, Tokie
author_sort Jiao, Dandan
collection PubMed
description This study aimed to explore all the relevant subtypes of cognitive frailty among Japanese community-dwelling older adults with multimorbidity. Moreover, it examined the associations between these potential subtypes of cognitive frailty and social relationships. This study targeted relevant cross-sectional data regarding community-based older adults with multimorbidity. It employed a person-centered method to perform a latent class analysis and explore the subtypes of cognitive frailty among older adults. Moreover, a multinominal logistic regression analysis was employed to examine the association between potential subtypes of cognitive frailty and social relationships. Data for 396 participants (mean age, 75.8 [SD, 7.3] years; 51.3% females) were analyzed. Three cognitive frailty subtypes were subsequently revealed: the robust group (42.0%), the group with partial cognitive frailty (38.6%), and the group with cognitive frailty (19.4%). People with high levels of social relationships were more likely to be in the robust and the partial cognitive frailty groups. This study identified different subtypes of cognitive frailty among multimorbid older adults and highlighted the significance of social relationships. These findings could serve as a reference for conceptualizing cognitive frailty through the person-centered method. Promoting a high level of social relationships could be useful to prevent the cognitive frailty among older adults with multimorbidity.
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spelling pubmed-103415082023-07-14 Latent Subtype of Cognitive Frailty among Multimorbidity Older Adults and Their Association with Social Relationships Jiao, Dandan Li, Xiang Zhu, Zhu Zhang, Jinrui Liu, Yang Cui, Mingyu Matsumoto, Munenori Banu, Alpona Afsari Sawada, Yuko Watanabe, Taeko Tanaka, Emiko Anme, Tokie Healthcare (Basel) Article This study aimed to explore all the relevant subtypes of cognitive frailty among Japanese community-dwelling older adults with multimorbidity. Moreover, it examined the associations between these potential subtypes of cognitive frailty and social relationships. This study targeted relevant cross-sectional data regarding community-based older adults with multimorbidity. It employed a person-centered method to perform a latent class analysis and explore the subtypes of cognitive frailty among older adults. Moreover, a multinominal logistic regression analysis was employed to examine the association between potential subtypes of cognitive frailty and social relationships. Data for 396 participants (mean age, 75.8 [SD, 7.3] years; 51.3% females) were analyzed. Three cognitive frailty subtypes were subsequently revealed: the robust group (42.0%), the group with partial cognitive frailty (38.6%), and the group with cognitive frailty (19.4%). People with high levels of social relationships were more likely to be in the robust and the partial cognitive frailty groups. This study identified different subtypes of cognitive frailty among multimorbid older adults and highlighted the significance of social relationships. These findings could serve as a reference for conceptualizing cognitive frailty through the person-centered method. Promoting a high level of social relationships could be useful to prevent the cognitive frailty among older adults with multimorbidity. MDPI 2023-07-04 /pmc/articles/PMC10341508/ /pubmed/37444767 http://dx.doi.org/10.3390/healthcare11131933 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jiao, Dandan
Li, Xiang
Zhu, Zhu
Zhang, Jinrui
Liu, Yang
Cui, Mingyu
Matsumoto, Munenori
Banu, Alpona Afsari
Sawada, Yuko
Watanabe, Taeko
Tanaka, Emiko
Anme, Tokie
Latent Subtype of Cognitive Frailty among Multimorbidity Older Adults and Their Association with Social Relationships
title Latent Subtype of Cognitive Frailty among Multimorbidity Older Adults and Their Association with Social Relationships
title_full Latent Subtype of Cognitive Frailty among Multimorbidity Older Adults and Their Association with Social Relationships
title_fullStr Latent Subtype of Cognitive Frailty among Multimorbidity Older Adults and Their Association with Social Relationships
title_full_unstemmed Latent Subtype of Cognitive Frailty among Multimorbidity Older Adults and Their Association with Social Relationships
title_short Latent Subtype of Cognitive Frailty among Multimorbidity Older Adults and Their Association with Social Relationships
title_sort latent subtype of cognitive frailty among multimorbidity older adults and their association with social relationships
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341508/
https://www.ncbi.nlm.nih.gov/pubmed/37444767
http://dx.doi.org/10.3390/healthcare11131933
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