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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2022
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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. |
format | Online Article Text |
id | pubmed-9345078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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