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Frailty does not cause all frail symptoms: United States Health and Retirement Study

BACKGROUND: Frailty is associated with major health outcomes. However, the relationships between frailty and frailty symptoms haven’t been well studied. This study aims to show the associations between frailty and frailty symptoms. METHODS: The Health and Retirement Study (HRS) is an ongoing longitu...

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Autores principales: Chao, Yi-Sheng, Wu, Chao-Jung, Po, June Y. T., Huang, Shih-Yu, Wu, Hsing-Chien, Hsu, Hui-Ting, Cheng, Yen-Po, Lai, Yi-Chun, Chen, Wei-Chih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629634/
https://www.ncbi.nlm.nih.gov/pubmed/36322566
http://dx.doi.org/10.1371/journal.pone.0272289
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author Chao, Yi-Sheng
Wu, Chao-Jung
Po, June Y. T.
Huang, Shih-Yu
Wu, Hsing-Chien
Hsu, Hui-Ting
Cheng, Yen-Po
Lai, Yi-Chun
Chen, Wei-Chih
author_facet Chao, Yi-Sheng
Wu, Chao-Jung
Po, June Y. T.
Huang, Shih-Yu
Wu, Hsing-Chien
Hsu, Hui-Ting
Cheng, Yen-Po
Lai, Yi-Chun
Chen, Wei-Chih
author_sort Chao, Yi-Sheng
collection PubMed
description BACKGROUND: Frailty is associated with major health outcomes. However, the relationships between frailty and frailty symptoms haven’t been well studied. This study aims to show the associations between frailty and frailty symptoms. METHODS: The Health and Retirement Study (HRS) is an ongoing longitudinal biannual survey in the United States. Three of the most used frailty diagnoses, defined by the Functional Domains Model, the Burden Model, and the Biologic Syndrome Model, were reproduced according to previous studies. The associations between frailty statuses and input symptoms were assessed using odds ratios and correlation coefficients. RESULTS: The sample sizes, mean ages, and frailty prevalence matched those reported in previous studies. Frailty statuses were weakly correlated with each other (coefficients = 0.19 to 0.38, p < 0.001 for all). There were 49 input symptoms identified by these three models. Frailty statuses defined by the three models were not significantly correlated with one or two symptoms defined by the same models (p > 0.05 for all). One to six symptoms defined by the other two models were not significantly correlated with each of the three frailty statuses (p > 0.05 for all). Frailty statuses were significantly correlated with their own bias variables (p < 0.05 for all). CONCLUSION: Frailty diagnoses lack significant correlations with some of their own frailty symptoms and some of the frailty symptoms defined by the other two models. This finding raises questions like whether the frailty symptoms lacking significant correlations with frailty statuses could be included to diagnose frailty and whether frailty exists and causes frailty symptoms.
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spelling pubmed-96296342022-11-03 Frailty does not cause all frail symptoms: United States Health and Retirement Study Chao, Yi-Sheng Wu, Chao-Jung Po, June Y. T. Huang, Shih-Yu Wu, Hsing-Chien Hsu, Hui-Ting Cheng, Yen-Po Lai, Yi-Chun Chen, Wei-Chih PLoS One Research Article BACKGROUND: Frailty is associated with major health outcomes. However, the relationships between frailty and frailty symptoms haven’t been well studied. This study aims to show the associations between frailty and frailty symptoms. METHODS: The Health and Retirement Study (HRS) is an ongoing longitudinal biannual survey in the United States. Three of the most used frailty diagnoses, defined by the Functional Domains Model, the Burden Model, and the Biologic Syndrome Model, were reproduced according to previous studies. The associations between frailty statuses and input symptoms were assessed using odds ratios and correlation coefficients. RESULTS: The sample sizes, mean ages, and frailty prevalence matched those reported in previous studies. Frailty statuses were weakly correlated with each other (coefficients = 0.19 to 0.38, p < 0.001 for all). There were 49 input symptoms identified by these three models. Frailty statuses defined by the three models were not significantly correlated with one or two symptoms defined by the same models (p > 0.05 for all). One to six symptoms defined by the other two models were not significantly correlated with each of the three frailty statuses (p > 0.05 for all). Frailty statuses were significantly correlated with their own bias variables (p < 0.05 for all). CONCLUSION: Frailty diagnoses lack significant correlations with some of their own frailty symptoms and some of the frailty symptoms defined by the other two models. This finding raises questions like whether the frailty symptoms lacking significant correlations with frailty statuses could be included to diagnose frailty and whether frailty exists and causes frailty symptoms. Public Library of Science 2022-11-02 /pmc/articles/PMC9629634/ /pubmed/36322566 http://dx.doi.org/10.1371/journal.pone.0272289 Text en © 2022 Chao et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chao, Yi-Sheng
Wu, Chao-Jung
Po, June Y. T.
Huang, Shih-Yu
Wu, Hsing-Chien
Hsu, Hui-Ting
Cheng, Yen-Po
Lai, Yi-Chun
Chen, Wei-Chih
Frailty does not cause all frail symptoms: United States Health and Retirement Study
title Frailty does not cause all frail symptoms: United States Health and Retirement Study
title_full Frailty does not cause all frail symptoms: United States Health and Retirement Study
title_fullStr Frailty does not cause all frail symptoms: United States Health and Retirement Study
title_full_unstemmed Frailty does not cause all frail symptoms: United States Health and Retirement Study
title_short Frailty does not cause all frail symptoms: United States Health and Retirement Study
title_sort frailty does not cause all frail symptoms: united states health and retirement study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629634/
https://www.ncbi.nlm.nih.gov/pubmed/36322566
http://dx.doi.org/10.1371/journal.pone.0272289
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