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Effect of frailty status on mortality risk among Chinese community-dwelling older adults: a prospective cohort study

BACKGROUND: Frailty is associated with mortality among older adults. We aimed to determine the appropriate time and frailty index (FI) threshold for frailty intervention in Chinese community-dwelling older adults. METHODS: In this prospective cohort study, we used data from the 2011 wave of the Chin...

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Autores principales: Zhao, Xinxin, Zhu, Rui, Chen, Qi, He, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024402/
https://www.ncbi.nlm.nih.gov/pubmed/36934220
http://dx.doi.org/10.1186/s12877-023-03759-8
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author Zhao, Xinxin
Zhu, Rui
Chen, Qi
He, Jia
author_facet Zhao, Xinxin
Zhu, Rui
Chen, Qi
He, Jia
author_sort Zhao, Xinxin
collection PubMed
description BACKGROUND: Frailty is associated with mortality among older adults. We aimed to determine the appropriate time and frailty index (FI) threshold for frailty intervention in Chinese community-dwelling older adults. METHODS: In this prospective cohort study, we used data from the 2011 wave of the Chinese Longitudinal Healthy Longevity Study. Follow-up was performed for seven years from baseline. Using the FI to evaluate frailty and define frailty status, we explored the best time point and FI score for frailty intervention, by comparing the relationships of FI and frailty status with mortality. RESULTS: From 2011 to 2018, 8642 participants were included and followed-up. A total of 4458 participants died during the study period. After adjusting for variables such as age, sex, marital status, education level, and living conditions, the hazard ratio (HR) of mortality risk based on the FI at baseline was 37.484 (95% confidence interval [CI]: 30.217–46.498; P < 0.001); female sex, living in the city, being married, and living with spouse were found to be protective factors, whereas ageing was a risk factor for frailty. The mortality risk was higher in pre-frail than in frail participants (HR: 3.588, 95% CI: 3.212–4.009, P < 0.001). Piecewise linear regression analysis revealed an FI score threshold of 0.5. When the FI score was > 0.5, the HR of mortality based on the FI was 15.758 (95% CI: 3.656–67.924; P < 0.001); when the FI score was ≤ 0.5, the HR of mortality based on the FI was 48.944 (95% CI: 36.162–66.244; P < 0.001). CONCLUSION: Using FI as a continuous variable to predict death is more accurate than frailty status. The advancement of early interventions for mortality risk reduction is more beneficial in pre-frail than in frail patients, and an FI score of 0.5 was found to be the threshold for mortality prediction using the FI.
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spelling pubmed-100244022023-03-19 Effect of frailty status on mortality risk among Chinese community-dwelling older adults: a prospective cohort study Zhao, Xinxin Zhu, Rui Chen, Qi He, Jia BMC Geriatr Research BACKGROUND: Frailty is associated with mortality among older adults. We aimed to determine the appropriate time and frailty index (FI) threshold for frailty intervention in Chinese community-dwelling older adults. METHODS: In this prospective cohort study, we used data from the 2011 wave of the Chinese Longitudinal Healthy Longevity Study. Follow-up was performed for seven years from baseline. Using the FI to evaluate frailty and define frailty status, we explored the best time point and FI score for frailty intervention, by comparing the relationships of FI and frailty status with mortality. RESULTS: From 2011 to 2018, 8642 participants were included and followed-up. A total of 4458 participants died during the study period. After adjusting for variables such as age, sex, marital status, education level, and living conditions, the hazard ratio (HR) of mortality risk based on the FI at baseline was 37.484 (95% confidence interval [CI]: 30.217–46.498; P < 0.001); female sex, living in the city, being married, and living with spouse were found to be protective factors, whereas ageing was a risk factor for frailty. The mortality risk was higher in pre-frail than in frail participants (HR: 3.588, 95% CI: 3.212–4.009, P < 0.001). Piecewise linear regression analysis revealed an FI score threshold of 0.5. When the FI score was > 0.5, the HR of mortality based on the FI was 15.758 (95% CI: 3.656–67.924; P < 0.001); when the FI score was ≤ 0.5, the HR of mortality based on the FI was 48.944 (95% CI: 36.162–66.244; P < 0.001). CONCLUSION: Using FI as a continuous variable to predict death is more accurate than frailty status. The advancement of early interventions for mortality risk reduction is more beneficial in pre-frail than in frail patients, and an FI score of 0.5 was found to be the threshold for mortality prediction using the FI. BioMed Central 2023-03-18 /pmc/articles/PMC10024402/ /pubmed/36934220 http://dx.doi.org/10.1186/s12877-023-03759-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhao, Xinxin
Zhu, Rui
Chen, Qi
He, Jia
Effect of frailty status on mortality risk among Chinese community-dwelling older adults: a prospective cohort study
title Effect of frailty status on mortality risk among Chinese community-dwelling older adults: a prospective cohort study
title_full Effect of frailty status on mortality risk among Chinese community-dwelling older adults: a prospective cohort study
title_fullStr Effect of frailty status on mortality risk among Chinese community-dwelling older adults: a prospective cohort study
title_full_unstemmed Effect of frailty status on mortality risk among Chinese community-dwelling older adults: a prospective cohort study
title_short Effect of frailty status on mortality risk among Chinese community-dwelling older adults: a prospective cohort study
title_sort effect of frailty status on mortality risk among chinese community-dwelling older adults: a prospective cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024402/
https://www.ncbi.nlm.nih.gov/pubmed/36934220
http://dx.doi.org/10.1186/s12877-023-03759-8
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