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Subtypes of physical frailty and their long‐term outcomes: a longitudinal cohort study
BACKGROUND: Components of physical frailty cluster into subtypes, but it remains unknown how these might be associated with age‐related functional declines and multimorbidities. This study aims to investigated associations of physical frailty subtypes with functional declines and multimorbidity in a...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567152/ https://www.ncbi.nlm.nih.gov/pubmed/32558267 http://dx.doi.org/10.1002/jcsm.12577 |
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author | Huang, Shih‐Tsung Tange, Chikako Otsuka, Rei Nishita, Yukiko Peng, Li‐Ning Hsiao, Fei‐Yuan Tomida, Makiko Shimokata, Hiroshi Arai, Hidenori Chen, Liang‐Kung |
author_facet | Huang, Shih‐Tsung Tange, Chikako Otsuka, Rei Nishita, Yukiko Peng, Li‐Ning Hsiao, Fei‐Yuan Tomida, Makiko Shimokata, Hiroshi Arai, Hidenori Chen, Liang‐Kung |
author_sort | Huang, Shih‐Tsung |
collection | PubMed |
description | BACKGROUND: Components of physical frailty cluster into subtypes, but it remains unknown how these might be associated with age‐related functional declines and multimorbidities. This study aims to investigated associations of physical frailty subtypes with functional declines and multimorbidity in a 10 year longitudinal cohort survey. METHODS: Complementary longitudinal cohort study used group‐based multitrajectory modelling to verify whether frailty subtypes discovered in Taiwan are presented in another aging cohort, then investigated associations of these subtypes with cognitive decline and multimorbidity. Participants aged ≥50 years were recruited from the third to sixth waves (May 2002 to July 2010) of the National Institute for Longevity Sciences‐Longitudinal Study of Aging, in Japan. People with incomplete data, pre‐frail/frail status before their index wave, and those with incomplete data or who died during follow‐up, were excluded. Group‐based trajectory analysis denoted five established physical frailty criteria as time‐varying binary variables in each wave during follow‐up. Incident frailty was classified as mobility subtype (weakness/slowness), non‐mobility subtype (weight loss/exhaustion), or low physical activity subtype. General linear modelling investigated associations of these frailty subtypes with activities of daily living, digit symbol substitution test (DSST) and Charlson Comorbidity Index (CCI) at 2 year follow‐up. RESULTS: We identified four longitudinal trajectories of physical frailty, which corroborated the distinct subtypes we discovered previously. Among 940 eligible participants, 38.0% were robust, 18.4% had mobility subtype frailty, 20.7% non‐mobility subtype, and 20.1% low physical activity subtype. People with mobility subtype frailty were older than those with other frailty subtypes or robust status and had higher prevalence of hypertension, diabetes, and heart failure. In the multivariable‐adjusted general linear models, mobility‐subtype frailty was associated with a significantly lower DSST score (point estimate −2.28, P = 0.03) and higher CCI (point estimate 0.82, P < 0.01) than the other groups. CONCLUSIONS: Mobility‐subtype frailty was associated with functional declines and progression of multimorbidity; the long‐term effects of physical frailty subtypes deserve further investigation. |
format | Online Article Text |
id | pubmed-7567152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75671522020-10-21 Subtypes of physical frailty and their long‐term outcomes: a longitudinal cohort study Huang, Shih‐Tsung Tange, Chikako Otsuka, Rei Nishita, Yukiko Peng, Li‐Ning Hsiao, Fei‐Yuan Tomida, Makiko Shimokata, Hiroshi Arai, Hidenori Chen, Liang‐Kung J Cachexia Sarcopenia Muscle Original Articles BACKGROUND: Components of physical frailty cluster into subtypes, but it remains unknown how these might be associated with age‐related functional declines and multimorbidities. This study aims to investigated associations of physical frailty subtypes with functional declines and multimorbidity in a 10 year longitudinal cohort survey. METHODS: Complementary longitudinal cohort study used group‐based multitrajectory modelling to verify whether frailty subtypes discovered in Taiwan are presented in another aging cohort, then investigated associations of these subtypes with cognitive decline and multimorbidity. Participants aged ≥50 years were recruited from the third to sixth waves (May 2002 to July 2010) of the National Institute for Longevity Sciences‐Longitudinal Study of Aging, in Japan. People with incomplete data, pre‐frail/frail status before their index wave, and those with incomplete data or who died during follow‐up, were excluded. Group‐based trajectory analysis denoted five established physical frailty criteria as time‐varying binary variables in each wave during follow‐up. Incident frailty was classified as mobility subtype (weakness/slowness), non‐mobility subtype (weight loss/exhaustion), or low physical activity subtype. General linear modelling investigated associations of these frailty subtypes with activities of daily living, digit symbol substitution test (DSST) and Charlson Comorbidity Index (CCI) at 2 year follow‐up. RESULTS: We identified four longitudinal trajectories of physical frailty, which corroborated the distinct subtypes we discovered previously. Among 940 eligible participants, 38.0% were robust, 18.4% had mobility subtype frailty, 20.7% non‐mobility subtype, and 20.1% low physical activity subtype. People with mobility subtype frailty were older than those with other frailty subtypes or robust status and had higher prevalence of hypertension, diabetes, and heart failure. In the multivariable‐adjusted general linear models, mobility‐subtype frailty was associated with a significantly lower DSST score (point estimate −2.28, P = 0.03) and higher CCI (point estimate 0.82, P < 0.01) than the other groups. CONCLUSIONS: Mobility‐subtype frailty was associated with functional declines and progression of multimorbidity; the long‐term effects of physical frailty subtypes deserve further investigation. John Wiley and Sons Inc. 2020-06-18 2020-10 /pmc/articles/PMC7567152/ /pubmed/32558267 http://dx.doi.org/10.1002/jcsm.12577 Text en © 2020 The Authors. Journal of Cachexia, Sarcopenia and Muscle published by John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Huang, Shih‐Tsung Tange, Chikako Otsuka, Rei Nishita, Yukiko Peng, Li‐Ning Hsiao, Fei‐Yuan Tomida, Makiko Shimokata, Hiroshi Arai, Hidenori Chen, Liang‐Kung Subtypes of physical frailty and their long‐term outcomes: a longitudinal cohort study |
title | Subtypes of physical frailty and their long‐term outcomes: a longitudinal cohort study |
title_full | Subtypes of physical frailty and their long‐term outcomes: a longitudinal cohort study |
title_fullStr | Subtypes of physical frailty and their long‐term outcomes: a longitudinal cohort study |
title_full_unstemmed | Subtypes of physical frailty and their long‐term outcomes: a longitudinal cohort study |
title_short | Subtypes of physical frailty and their long‐term outcomes: a longitudinal cohort study |
title_sort | subtypes of physical frailty and their long‐term outcomes: a longitudinal cohort study |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567152/ https://www.ncbi.nlm.nih.gov/pubmed/32558267 http://dx.doi.org/10.1002/jcsm.12577 |
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