Cargando…
Physical frailty and its associated factors among elderly nursing home residents in China
BACKGROUND: Evidence is scarce on the trend in prevalence of physical frailty in China; the primary purpose of this study was to identify the prevalence and correlates of physical frailty among older nursing home residents in China. METHODS: Cross-sectional study in 20 nursing homes in Changsha, Chi...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433121/ https://www.ncbi.nlm.nih.gov/pubmed/32807098 http://dx.doi.org/10.1186/s12877-020-01695-5 |
_version_ | 1783571942534545408 |
---|---|
author | Liu, Weiwei Puts, Martine Jiang, Fen Zhou, Chuyi Tang, Siyuan Chen, Sanmei |
author_facet | Liu, Weiwei Puts, Martine Jiang, Fen Zhou, Chuyi Tang, Siyuan Chen, Sanmei |
author_sort | Liu, Weiwei |
collection | PubMed |
description | BACKGROUND: Evidence is scarce on the trend in prevalence of physical frailty in China; the primary purpose of this study was to identify the prevalence and correlates of physical frailty among older nursing home residents in China. METHODS: Cross-sectional study in 20 nursing homes in Changsha, China. Physical frailty was defined based on the frailty phenotype including weight loss, low grip strength, exhaustion, slow gait speed, and low physical activity. Participants with at least three affected criteria were defined as being frail. Participants with one or two affected criteria were considered as pre-frail, and those with no affected criteria were considered as robust. A total of 1004 nursing home residents aged 60 and over were included in this study. A multinomial logistic regression model was used to analyze the associations of physical frailty with its potential risk factors, including age, sex, education levels, marital status, type of institution, living status, current drinking, current smoking, regular exercise, and self-reported health. RESULTS: The overall prevalence of physical frailty and prefrailty was 55.6, and 38.5%, respectively. The rate of physical frailty substantially increased with age, and was higher in women than in men (69.5% vs. 30.5%). The multinomial logistic regression analysis showed that older age, being women, living in a private institution, living alone or with unknown person, having no regular exercise (≤ 2 times/week), and poor self-reported health were significantly associated with increased odds of being physically frail. CONCLUSION: We demonstrated physical frailty is highly prevalent among older residents in nursing homes in China, especially in women. The potential role of those associated factors of physical frailty warrant further investigations to explore their clinical application among elderly nursing home residents. |
format | Online Article Text |
id | pubmed-7433121 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74331212020-08-19 Physical frailty and its associated factors among elderly nursing home residents in China Liu, Weiwei Puts, Martine Jiang, Fen Zhou, Chuyi Tang, Siyuan Chen, Sanmei BMC Geriatr Research Article BACKGROUND: Evidence is scarce on the trend in prevalence of physical frailty in China; the primary purpose of this study was to identify the prevalence and correlates of physical frailty among older nursing home residents in China. METHODS: Cross-sectional study in 20 nursing homes in Changsha, China. Physical frailty was defined based on the frailty phenotype including weight loss, low grip strength, exhaustion, slow gait speed, and low physical activity. Participants with at least three affected criteria were defined as being frail. Participants with one or two affected criteria were considered as pre-frail, and those with no affected criteria were considered as robust. A total of 1004 nursing home residents aged 60 and over were included in this study. A multinomial logistic regression model was used to analyze the associations of physical frailty with its potential risk factors, including age, sex, education levels, marital status, type of institution, living status, current drinking, current smoking, regular exercise, and self-reported health. RESULTS: The overall prevalence of physical frailty and prefrailty was 55.6, and 38.5%, respectively. The rate of physical frailty substantially increased with age, and was higher in women than in men (69.5% vs. 30.5%). The multinomial logistic regression analysis showed that older age, being women, living in a private institution, living alone or with unknown person, having no regular exercise (≤ 2 times/week), and poor self-reported health were significantly associated with increased odds of being physically frail. CONCLUSION: We demonstrated physical frailty is highly prevalent among older residents in nursing homes in China, especially in women. The potential role of those associated factors of physical frailty warrant further investigations to explore their clinical application among elderly nursing home residents. BioMed Central 2020-08-17 /pmc/articles/PMC7433121/ /pubmed/32807098 http://dx.doi.org/10.1186/s12877-020-01695-5 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article Liu, Weiwei Puts, Martine Jiang, Fen Zhou, Chuyi Tang, Siyuan Chen, Sanmei Physical frailty and its associated factors among elderly nursing home residents in China |
title | Physical frailty and its associated factors among elderly nursing home residents in China |
title_full | Physical frailty and its associated factors among elderly nursing home residents in China |
title_fullStr | Physical frailty and its associated factors among elderly nursing home residents in China |
title_full_unstemmed | Physical frailty and its associated factors among elderly nursing home residents in China |
title_short | Physical frailty and its associated factors among elderly nursing home residents in China |
title_sort | physical frailty and its associated factors among elderly nursing home residents in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433121/ https://www.ncbi.nlm.nih.gov/pubmed/32807098 http://dx.doi.org/10.1186/s12877-020-01695-5 |
work_keys_str_mv | AT liuweiwei physicalfrailtyanditsassociatedfactorsamongelderlynursinghomeresidentsinchina AT putsmartine physicalfrailtyanditsassociatedfactorsamongelderlynursinghomeresidentsinchina AT jiangfen physicalfrailtyanditsassociatedfactorsamongelderlynursinghomeresidentsinchina AT zhouchuyi physicalfrailtyanditsassociatedfactorsamongelderlynursinghomeresidentsinchina AT tangsiyuan physicalfrailtyanditsassociatedfactorsamongelderlynursinghomeresidentsinchina AT chensanmei physicalfrailtyanditsassociatedfactorsamongelderlynursinghomeresidentsinchina |