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Prevalence and associated factors for frailty among elder patients in China: a multicentre cross-sectional study
BACKGROUND: To date, most previous studies of frailty among hospitalized elderly Chinese patients have been conducted based on small samples, which cannot represent the elderly patient population. The aim of this study was to identify the prevalence of and risk factors for frailty among elderly pati...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068995/ https://www.ncbi.nlm.nih.gov/pubmed/32164595 http://dx.doi.org/10.1186/s12877-020-1496-1 |
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author | Jiao, Jing Wang, Yu Zhu, Chen Li, Fangfang Zhu, Minglei Wen, Xianxiu Jin, Jingfen Wang, Hui Lv, Dongmei Zhao, Shengxiu Wu, Xinjuan Xu, Tao |
author_facet | Jiao, Jing Wang, Yu Zhu, Chen Li, Fangfang Zhu, Minglei Wen, Xianxiu Jin, Jingfen Wang, Hui Lv, Dongmei Zhao, Shengxiu Wu, Xinjuan Xu, Tao |
author_sort | Jiao, Jing |
collection | PubMed |
description | BACKGROUND: To date, most previous studies of frailty among hospitalized elderly Chinese patients have been conducted based on small samples, which cannot represent the elderly patient population. The aim of this study was to identify the prevalence of and risk factors for frailty among elderly patients in China. STUDY DESIGN AND SETTING: This cross-sectional study surveyed 9996 elderly patients from 6 tertiary-level hospitals in China. The prevalence of frailty among patients from selected wards was surveyed by trained investigators. A mixed-effects Poisson regression model was used to analyse the factors associated with frailty among elderly patients. RESULTS: The mean age of all subjects was 72.47 ± 5.77 years. The prevalence rate of frailty in this study was 18.02%. After adjustments were made for the confounding effect of the clustering of hospital wards, a mixed-effects Poisson regression model showed that the associated factors of frailty included the following: age (OR: 1.016, 95% CI: 1.012–1.020), BMI < 18.5 (OR: 1.248, 95% CI: 1.171–1.330), female gender (OR: 1.058, 95% CI: 1.004–1.115), ethnic minority (OR: 1.152, 95% CI: 1.073–1.236), admission to hospital by the emergency department (OR: 1.104, 95% CI: 1.030–1.184), transit from another hospital (OR: 1.159, 95% CI: 1.049–1.279), former alcohol use (OR: 1.094, 95% CI: 1.022–1.171), fall history in the past 12 months (OR: 1.257, 95% CI: 1.194–1.323), vision dysfunction (OR: 1.144, 95% CI: 1.080–1.211), cognition impairment (OR: 1.182, 95% CI: 1.130–1.237), sleeping dysfunction (OR: 1.215, 95% CI: 1.215–1.318), urinary dysfunction (OR: 1.175, 95% CI: 1.104–1.251), and defecation dysfunction (OR: 1.286, 95% CI: 1.217–1.358). The results also showed some of the following protective effects: BMI > 28 (OR: 0.897, 95% CI: 0.856–0.940); higher education level, including middle school (OR: 0.915, 95% CI: 0.857, 0.977) and diploma and above (OR: 0.891, 95% CI: 0.821, 0.966); and current alcohol use (OR: 0.869, 95% CI: 0.815, 0.927). CONCLUSION: We identified a relatively high prevalence of frailty among elderly patients, and there are several associated factors among the population derived from this investigation of a large-scale, multicentre, nationally representative Chinese elderly inpatient population. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR1800017682, registered 09 August 2018. |
format | Online Article Text |
id | pubmed-7068995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70689952020-03-18 Prevalence and associated factors for frailty among elder patients in China: a multicentre cross-sectional study Jiao, Jing Wang, Yu Zhu, Chen Li, Fangfang Zhu, Minglei Wen, Xianxiu Jin, Jingfen Wang, Hui Lv, Dongmei Zhao, Shengxiu Wu, Xinjuan Xu, Tao BMC Geriatr Research Article BACKGROUND: To date, most previous studies of frailty among hospitalized elderly Chinese patients have been conducted based on small samples, which cannot represent the elderly patient population. The aim of this study was to identify the prevalence of and risk factors for frailty among elderly patients in China. STUDY DESIGN AND SETTING: This cross-sectional study surveyed 9996 elderly patients from 6 tertiary-level hospitals in China. The prevalence of frailty among patients from selected wards was surveyed by trained investigators. A mixed-effects Poisson regression model was used to analyse the factors associated with frailty among elderly patients. RESULTS: The mean age of all subjects was 72.47 ± 5.77 years. The prevalence rate of frailty in this study was 18.02%. After adjustments were made for the confounding effect of the clustering of hospital wards, a mixed-effects Poisson regression model showed that the associated factors of frailty included the following: age (OR: 1.016, 95% CI: 1.012–1.020), BMI < 18.5 (OR: 1.248, 95% CI: 1.171–1.330), female gender (OR: 1.058, 95% CI: 1.004–1.115), ethnic minority (OR: 1.152, 95% CI: 1.073–1.236), admission to hospital by the emergency department (OR: 1.104, 95% CI: 1.030–1.184), transit from another hospital (OR: 1.159, 95% CI: 1.049–1.279), former alcohol use (OR: 1.094, 95% CI: 1.022–1.171), fall history in the past 12 months (OR: 1.257, 95% CI: 1.194–1.323), vision dysfunction (OR: 1.144, 95% CI: 1.080–1.211), cognition impairment (OR: 1.182, 95% CI: 1.130–1.237), sleeping dysfunction (OR: 1.215, 95% CI: 1.215–1.318), urinary dysfunction (OR: 1.175, 95% CI: 1.104–1.251), and defecation dysfunction (OR: 1.286, 95% CI: 1.217–1.358). The results also showed some of the following protective effects: BMI > 28 (OR: 0.897, 95% CI: 0.856–0.940); higher education level, including middle school (OR: 0.915, 95% CI: 0.857, 0.977) and diploma and above (OR: 0.891, 95% CI: 0.821, 0.966); and current alcohol use (OR: 0.869, 95% CI: 0.815, 0.927). CONCLUSION: We identified a relatively high prevalence of frailty among elderly patients, and there are several associated factors among the population derived from this investigation of a large-scale, multicentre, nationally representative Chinese elderly inpatient population. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR1800017682, registered 09 August 2018. BioMed Central 2020-03-12 /pmc/articles/PMC7068995/ /pubmed/32164595 http://dx.doi.org/10.1186/s12877-020-1496-1 Text en © The Author(s). 2020 Open Access This 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 Jiao, Jing Wang, Yu Zhu, Chen Li, Fangfang Zhu, Minglei Wen, Xianxiu Jin, Jingfen Wang, Hui Lv, Dongmei Zhao, Shengxiu Wu, Xinjuan Xu, Tao Prevalence and associated factors for frailty among elder patients in China: a multicentre cross-sectional study |
title | Prevalence and associated factors for frailty among elder patients in China: a multicentre cross-sectional study |
title_full | Prevalence and associated factors for frailty among elder patients in China: a multicentre cross-sectional study |
title_fullStr | Prevalence and associated factors for frailty among elder patients in China: a multicentre cross-sectional study |
title_full_unstemmed | Prevalence and associated factors for frailty among elder patients in China: a multicentre cross-sectional study |
title_short | Prevalence and associated factors for frailty among elder patients in China: a multicentre cross-sectional study |
title_sort | prevalence and associated factors for frailty among elder patients in china: a multicentre cross-sectional study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068995/ https://www.ncbi.nlm.nih.gov/pubmed/32164595 http://dx.doi.org/10.1186/s12877-020-1496-1 |
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