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Subtypes of physical frailty: Latent class analysis and associations with clinical characteristics and outcomes

Frailty is a well-recognized geriatric syndrome with various definitions and conceptual frameworks. This study aimed to use latent class analysis to discover potential subtypes of pre-frail and frail older people. Data from the I-Lan Longitudinal Aging Study (ILAS), a community-based cohort study wa...

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Autores principales: Liu, Li-Kuo, Guo, Chao-Yu, Lee, Wei-Ju, Chen, Liang-Yu, Hwang, An-Chun, Lin, Ming-Hsien, Peng, Li-Ning, Chen, Liang-Kung, Liang, Kung-Yee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5387710/
https://www.ncbi.nlm.nih.gov/pubmed/28397814
http://dx.doi.org/10.1038/srep46417
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author Liu, Li-Kuo
Guo, Chao-Yu
Lee, Wei-Ju
Chen, Liang-Yu
Hwang, An-Chun
Lin, Ming-Hsien
Peng, Li-Ning
Chen, Liang-Kung
Liang, Kung-Yee
author_facet Liu, Li-Kuo
Guo, Chao-Yu
Lee, Wei-Ju
Chen, Liang-Yu
Hwang, An-Chun
Lin, Ming-Hsien
Peng, Li-Ning
Chen, Liang-Kung
Liang, Kung-Yee
author_sort Liu, Li-Kuo
collection PubMed
description Frailty is a well-recognized geriatric syndrome with various definitions and conceptual frameworks. This study aimed to use latent class analysis to discover potential subtypes of pre-frail and frail older people. Data from the I-Lan Longitudinal Aging Study (ILAS), a community-based cohort study was used for analysis. Latent class analysis was applied to characterize classes or subgroups with different frailty phenotypes among ILAS participants targeting older adults aged 65 and above, capable of completing a 6-meter walk, without severe major or life threatening diseases, and not institutionalized. Latent class analysis identified three distinct subgroups with different frailty phenotypes: non-mobility-type (weight loss and exhaustion), mobility-type frailty (slowness and weakness), and low physical activity. Comparing these groups with the robust group, people with mobility-type frailty had poorer body composition, worse bone health, poorer cognitive function, lower survival (hazard ratio: 6.82, p = 0.019), and poorer overall health outcomes (hazard ratio: 1.67, p = 0.040). People in the non-mobility-type group had poorer bone health and more metabolic serum abnormalities. In conclusion, mobility-type frailty was a better predictor of adverse outcomes. However, further investigation is needed to evaluate how these phenotypic subgroups may help in predicting prognosis or in developing interventions.
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spelling pubmed-53877102017-04-12 Subtypes of physical frailty: Latent class analysis and associations with clinical characteristics and outcomes Liu, Li-Kuo Guo, Chao-Yu Lee, Wei-Ju Chen, Liang-Yu Hwang, An-Chun Lin, Ming-Hsien Peng, Li-Ning Chen, Liang-Kung Liang, Kung-Yee Sci Rep Article Frailty is a well-recognized geriatric syndrome with various definitions and conceptual frameworks. This study aimed to use latent class analysis to discover potential subtypes of pre-frail and frail older people. Data from the I-Lan Longitudinal Aging Study (ILAS), a community-based cohort study was used for analysis. Latent class analysis was applied to characterize classes or subgroups with different frailty phenotypes among ILAS participants targeting older adults aged 65 and above, capable of completing a 6-meter walk, without severe major or life threatening diseases, and not institutionalized. Latent class analysis identified three distinct subgroups with different frailty phenotypes: non-mobility-type (weight loss and exhaustion), mobility-type frailty (slowness and weakness), and low physical activity. Comparing these groups with the robust group, people with mobility-type frailty had poorer body composition, worse bone health, poorer cognitive function, lower survival (hazard ratio: 6.82, p = 0.019), and poorer overall health outcomes (hazard ratio: 1.67, p = 0.040). People in the non-mobility-type group had poorer bone health and more metabolic serum abnormalities. In conclusion, mobility-type frailty was a better predictor of adverse outcomes. However, further investigation is needed to evaluate how these phenotypic subgroups may help in predicting prognosis or in developing interventions. Nature Publishing Group 2017-04-11 /pmc/articles/PMC5387710/ /pubmed/28397814 http://dx.doi.org/10.1038/srep46417 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Liu, Li-Kuo
Guo, Chao-Yu
Lee, Wei-Ju
Chen, Liang-Yu
Hwang, An-Chun
Lin, Ming-Hsien
Peng, Li-Ning
Chen, Liang-Kung
Liang, Kung-Yee
Subtypes of physical frailty: Latent class analysis and associations with clinical characteristics and outcomes
title Subtypes of physical frailty: Latent class analysis and associations with clinical characteristics and outcomes
title_full Subtypes of physical frailty: Latent class analysis and associations with clinical characteristics and outcomes
title_fullStr Subtypes of physical frailty: Latent class analysis and associations with clinical characteristics and outcomes
title_full_unstemmed Subtypes of physical frailty: Latent class analysis and associations with clinical characteristics and outcomes
title_short Subtypes of physical frailty: Latent class analysis and associations with clinical characteristics and outcomes
title_sort subtypes of physical frailty: latent class analysis and associations with clinical characteristics and outcomes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5387710/
https://www.ncbi.nlm.nih.gov/pubmed/28397814
http://dx.doi.org/10.1038/srep46417
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