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Prevalence and Risk Factors for Fall among Rural Elderly: A County-Based Cross-Sectional Survey

AIM: The aim of the study was to provide evidence for the prevention and reduction of falls in the elderly living in rural areas by analyzing epidemiological data of falls among the rural older people (>65 years old) and identifying the risk and protective factors. METHODS: This study analyzed th...

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Autores principales: Zhang, Hongping, Zhao, Yinshaung, Wei, Feng, Han, Mo, Chen, Jianquan, Peng, Songxu, Du, Yukai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252676/
https://www.ncbi.nlm.nih.gov/pubmed/35832801
http://dx.doi.org/10.1155/2022/8042915
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author Zhang, Hongping
Zhao, Yinshaung
Wei, Feng
Han, Mo
Chen, Jianquan
Peng, Songxu
Du, Yukai
author_facet Zhang, Hongping
Zhao, Yinshaung
Wei, Feng
Han, Mo
Chen, Jianquan
Peng, Songxu
Du, Yukai
author_sort Zhang, Hongping
collection PubMed
description AIM: The aim of the study was to provide evidence for the prevention and reduction of falls in the elderly living in rural areas by analyzing epidemiological data of falls among the rural older people (>65 years old) and identifying the risk and protective factors. METHODS: This study analyzed the sociodemographic characteristics, living environment, lifestyle, chronic disease condition, mental health, activities of daily living (ADL), and detailed information of falls of 3752 rural elderly. Rank tests, chi-square tests, and binary logistic regression were used for data analysis. RESULTS: The prevalence of falls was 30.0%, and the 75–84-years age group had the highest fall rate (18.8%). According to the binary logistic regression analysis, six variables, including roughage intake frequency, age, gender, cane use, floor tiles, and IADL, were involved in the fall patterns. Low roughage intake (OR = 2.48, 95% CI 1.24–4.97), female gender (OR = 2.12, 95% CI 1.48–3.05), the use of a cane (OR = 2.11, 95% CI 1.08–4.10), and medium IADL (OR = 2.02, 95% CI 1.89–2.32) were the top four risk factors. CONCLUSION: The fall in the rural elderly was mainly due to the poor living and working conditions. Routine fall assessment could address several preventable risk factors to reduce the prevalence and mitigate the harm of falls.
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spelling pubmed-92526762022-07-12 Prevalence and Risk Factors for Fall among Rural Elderly: A County-Based Cross-Sectional Survey Zhang, Hongping Zhao, Yinshaung Wei, Feng Han, Mo Chen, Jianquan Peng, Songxu Du, Yukai Int J Clin Pract Research Article AIM: The aim of the study was to provide evidence for the prevention and reduction of falls in the elderly living in rural areas by analyzing epidemiological data of falls among the rural older people (>65 years old) and identifying the risk and protective factors. METHODS: This study analyzed the sociodemographic characteristics, living environment, lifestyle, chronic disease condition, mental health, activities of daily living (ADL), and detailed information of falls of 3752 rural elderly. Rank tests, chi-square tests, and binary logistic regression were used for data analysis. RESULTS: The prevalence of falls was 30.0%, and the 75–84-years age group had the highest fall rate (18.8%). According to the binary logistic regression analysis, six variables, including roughage intake frequency, age, gender, cane use, floor tiles, and IADL, were involved in the fall patterns. Low roughage intake (OR = 2.48, 95% CI 1.24–4.97), female gender (OR = 2.12, 95% CI 1.48–3.05), the use of a cane (OR = 2.11, 95% CI 1.08–4.10), and medium IADL (OR = 2.02, 95% CI 1.89–2.32) were the top four risk factors. CONCLUSION: The fall in the rural elderly was mainly due to the poor living and working conditions. Routine fall assessment could address several preventable risk factors to reduce the prevalence and mitigate the harm of falls. Hindawi 2022-06-27 /pmc/articles/PMC9252676/ /pubmed/35832801 http://dx.doi.org/10.1155/2022/8042915 Text en Copyright © 2022 Hongping Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Hongping
Zhao, Yinshaung
Wei, Feng
Han, Mo
Chen, Jianquan
Peng, Songxu
Du, Yukai
Prevalence and Risk Factors for Fall among Rural Elderly: A County-Based Cross-Sectional Survey
title Prevalence and Risk Factors for Fall among Rural Elderly: A County-Based Cross-Sectional Survey
title_full Prevalence and Risk Factors for Fall among Rural Elderly: A County-Based Cross-Sectional Survey
title_fullStr Prevalence and Risk Factors for Fall among Rural Elderly: A County-Based Cross-Sectional Survey
title_full_unstemmed Prevalence and Risk Factors for Fall among Rural Elderly: A County-Based Cross-Sectional Survey
title_short Prevalence and Risk Factors for Fall among Rural Elderly: A County-Based Cross-Sectional Survey
title_sort prevalence and risk factors for fall among rural elderly: a county-based cross-sectional survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252676/
https://www.ncbi.nlm.nih.gov/pubmed/35832801
http://dx.doi.org/10.1155/2022/8042915
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