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Prevalence and associated factors of frailty among community dwelling older adults in Northwest China: a cross-sectional study

OBJECTIVES: To investigate the prevalence of the comprehensive frailty and its associated factors among community dwelling older adults. DESIGN: A cross-sectional study. SETTING: Six community healthcare centres in Xi’an City, Northwest China. PARTICIPANTS: A total of 2647 community dwelling older a...

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Autores principales: Yu, Xingfeng, Shi, Zhengyan, Wang, Dan, Niu, Yaqi, Xu, Cuixiang, Ma, Yunmiao, Liu, Hongmei, Guo, Hua, Li, Minjie, Zhang, Yulian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345078/
https://www.ncbi.nlm.nih.gov/pubmed/35914908
http://dx.doi.org/10.1136/bmjopen-2021-060089
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author Yu, Xingfeng
Shi, Zhengyan
Wang, Dan
Niu, Yaqi
Xu, Cuixiang
Ma, Yunmiao
Liu, Hongmei
Guo, Hua
Li, Minjie
Zhang, Yulian
author_facet Yu, Xingfeng
Shi, Zhengyan
Wang, Dan
Niu, Yaqi
Xu, Cuixiang
Ma, Yunmiao
Liu, Hongmei
Guo, Hua
Li, Minjie
Zhang, Yulian
author_sort Yu, Xingfeng
collection PubMed
description OBJECTIVES: To investigate the prevalence of the comprehensive frailty and its associated factors among community dwelling older adults. DESIGN: A cross-sectional study. SETTING: Six community healthcare centres in Xi’an City, Northwest China. PARTICIPANTS: A total of 2647 community dwelling older adults completed the study between March and August 2021. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was the prevalence of frailty, measured with the Comprehensive Frailty Assessment Instrument. The secondary outcomes were potential factors associated with frailty, measured with a social-demographic and health-related information sheet, the Short-Form Mini-Nutritional Assessment and the Pittsburgh Sleep Quality Index. RESULTS: The participants averaged 27.77±10.13 in the total score of the Comprehensive Frailty Assessment Instrument. According to the cut-off points defining the classification of frailty, the majority of the participants were with mild (n=1478, 55.8%) or high (n=390, 14.8%) frailty. Multivariate stepwise linear regression analysis demonstrated that older age, lower educational level, empty nesters, higher level of self-perceived medical burden, abnormal body weight, physical inactivity, medication taking, increased number of clinic visit, undernutrition and poor sleep quality are associated with higher total score in the Comprehensive Frailty Assessment Instrument, indicating higher level of frailty. Multivariate multinomial logistic regression analysis exhibited similar findings but further captured female gender as a risk factor for the presence of mild and high frailty compared with no-low frailty. CONCLUSION: The prevalence of the comprehensive frailty and frailty in the physiological, psychological, social and environmental domains is high. A variety of social-demographic, health-related and behavioural factors were associated with the comprehensive frailty. Further investigations on frailty prevalence and its associated factors based on comprehensive assessments are desirable.
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spelling pubmed-93450782022-08-19 Prevalence and associated factors of frailty among community dwelling older adults in Northwest China: a cross-sectional study Yu, Xingfeng Shi, Zhengyan Wang, Dan Niu, Yaqi Xu, Cuixiang Ma, Yunmiao Liu, Hongmei Guo, Hua Li, Minjie Zhang, Yulian BMJ Open Geriatric Medicine OBJECTIVES: To investigate the prevalence of the comprehensive frailty and its associated factors among community dwelling older adults. DESIGN: A cross-sectional study. SETTING: Six community healthcare centres in Xi’an City, Northwest China. PARTICIPANTS: A total of 2647 community dwelling older adults completed the study between March and August 2021. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was the prevalence of frailty, measured with the Comprehensive Frailty Assessment Instrument. The secondary outcomes were potential factors associated with frailty, measured with a social-demographic and health-related information sheet, the Short-Form Mini-Nutritional Assessment and the Pittsburgh Sleep Quality Index. RESULTS: The participants averaged 27.77±10.13 in the total score of the Comprehensive Frailty Assessment Instrument. According to the cut-off points defining the classification of frailty, the majority of the participants were with mild (n=1478, 55.8%) or high (n=390, 14.8%) frailty. Multivariate stepwise linear regression analysis demonstrated that older age, lower educational level, empty nesters, higher level of self-perceived medical burden, abnormal body weight, physical inactivity, medication taking, increased number of clinic visit, undernutrition and poor sleep quality are associated with higher total score in the Comprehensive Frailty Assessment Instrument, indicating higher level of frailty. Multivariate multinomial logistic regression analysis exhibited similar findings but further captured female gender as a risk factor for the presence of mild and high frailty compared with no-low frailty. CONCLUSION: The prevalence of the comprehensive frailty and frailty in the physiological, psychological, social and environmental domains is high. A variety of social-demographic, health-related and behavioural factors were associated with the comprehensive frailty. Further investigations on frailty prevalence and its associated factors based on comprehensive assessments are desirable. BMJ Publishing Group 2022-08-01 /pmc/articles/PMC9345078/ /pubmed/35914908 http://dx.doi.org/10.1136/bmjopen-2021-060089 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Geriatric Medicine
Yu, Xingfeng
Shi, Zhengyan
Wang, Dan
Niu, Yaqi
Xu, Cuixiang
Ma, Yunmiao
Liu, Hongmei
Guo, Hua
Li, Minjie
Zhang, Yulian
Prevalence and associated factors of frailty among community dwelling older adults in Northwest China: a cross-sectional study
title Prevalence and associated factors of frailty among community dwelling older adults in Northwest China: a cross-sectional study
title_full Prevalence and associated factors of frailty among community dwelling older adults in Northwest China: a cross-sectional study
title_fullStr Prevalence and associated factors of frailty among community dwelling older adults in Northwest China: a cross-sectional study
title_full_unstemmed Prevalence and associated factors of frailty among community dwelling older adults in Northwest China: a cross-sectional study
title_short Prevalence and associated factors of frailty among community dwelling older adults in Northwest China: a cross-sectional study
title_sort prevalence and associated factors of frailty among community dwelling older adults in northwest china: a cross-sectional study
topic Geriatric Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345078/
https://www.ncbi.nlm.nih.gov/pubmed/35914908
http://dx.doi.org/10.1136/bmjopen-2021-060089
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