{"title":"COVID-19大流行期间影响老年人日常生活活动的因素——结构方程模型","authors":"Elham Nejadsadeghi, Shahab Papi, Maria Cheraghi, Samaneh Norouzi, Fatemeh Hosseini, Ghodratollah Shakeri Nejad","doi":"10.5114/pm.2022.117183","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The activities of daily living (ADLs) are a set of basic skills necessary for self-care. The inability of elderly people to perform ADLs leads to dependence, insecure conditions, and poor quality of life. The COVID-19 pandemic has affected all aspects of the daily life of the elderly. This study aimed to determine the factors associated with ADLs among elderly people during the COVID-19 pandemic using structural equation modelling/path analysis.</p><p><strong>Material and methods: </strong>It was a descriptive-analytical study which had conducted on 487 elderly people who were selected randomly to participate in the study. Data collection tools included a demographic information questionnaire, an activities of daily living questionnaire, a knee pain and personal performance questionnaire Western Ontario and McMaster Universities Osteoarthritis (WOMAC), and the falls efficacy scale, which were completed by interview and self-report methods. SPSS-22 and AMOS software were used for data analysis.</p><p><strong>Results: </strong>Two structures of the fear of falling (FOF) and knee pain and personal performance questionnaire WOMAC had a significant role in explaining the ADL variance among the studied elderly people (<i>p</i> < 0.001, root mean square error of approximation = 0.063). These variables explained 64% of the ADL variance.</p><p><strong>Conclusions: </strong>The structures of this model (FOF and WOMAC) can be used as a reference framework to design effective interventions for improving ADLs among elderly people during the COVID-19 epidemic. It is also recommended that a multi-component program be provided, which includes exercise and psychological strategies for this population during the COVID-19 pandemic through online videos, distance health programs, etc.</p>","PeriodicalId":55643,"journal":{"name":"Przeglad Menopauzalny","volume":"21 2","pages":"111-116"},"PeriodicalIF":2.5000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/06/fa/MR-21-47254.PMC9528812.pdf","citationCount":"0","resultStr":"{\"title\":\"Factor affecting the activities of daily living among aging people during the COVID-19 pandemic - a structural equation modelling.\",\"authors\":\"Elham Nejadsadeghi, Shahab Papi, Maria Cheraghi, Samaneh Norouzi, Fatemeh Hosseini, Ghodratollah Shakeri Nejad\",\"doi\":\"10.5114/pm.2022.117183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>The activities of daily living (ADLs) are a set of basic skills necessary for self-care. 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引用次数: 0
摘要
日常生活活动(ADLs)是一套自我照顾所必需的基本技能。老年人无法执行ADLs导致依赖、不安全状况和生活质量差。2019冠状病毒病大流行影响了老年人日常生活的方方面面。本研究旨在利用结构方程建模/路径分析确定与COVID-19大流行期间老年人adl相关的因素。材料与方法:采用描述性分析研究,随机选取487名老年人参与研究。数据收集工具包括人口统计信息问卷、日常生活活动问卷、膝关节疼痛和个人表现问卷(Western Ontario and McMaster university Osteoarthritis, WOMAC)和跌倒疗效量表,采用访谈和自我报告的方式完成。采用SPSS-22和AMOS软件进行数据分析。结果:跌倒恐惧(FOF)和膝关节疼痛及个人表现问卷WOMAC两种结构对老年人ADL方差有显著解释作用(p < 0.001,近似均方根误差= 0.063)。这些变量解释了64%的ADL方差。结论:该模型的结构(FOF和WOMAC)可作为参考框架,设计有效的干预措施,改善COVID-19流行期间老年人的adl。还建议通过在线视频、远程健康项目等,为这一人群提供多组件方案,包括在2019冠状病毒病大流行期间的锻炼和心理策略。
Factor affecting the activities of daily living among aging people during the COVID-19 pandemic - a structural equation modelling.
Introduction: The activities of daily living (ADLs) are a set of basic skills necessary for self-care. The inability of elderly people to perform ADLs leads to dependence, insecure conditions, and poor quality of life. The COVID-19 pandemic has affected all aspects of the daily life of the elderly. This study aimed to determine the factors associated with ADLs among elderly people during the COVID-19 pandemic using structural equation modelling/path analysis.
Material and methods: It was a descriptive-analytical study which had conducted on 487 elderly people who were selected randomly to participate in the study. Data collection tools included a demographic information questionnaire, an activities of daily living questionnaire, a knee pain and personal performance questionnaire Western Ontario and McMaster Universities Osteoarthritis (WOMAC), and the falls efficacy scale, which were completed by interview and self-report methods. SPSS-22 and AMOS software were used for data analysis.
Results: Two structures of the fear of falling (FOF) and knee pain and personal performance questionnaire WOMAC had a significant role in explaining the ADL variance among the studied elderly people (p < 0.001, root mean square error of approximation = 0.063). These variables explained 64% of the ADL variance.
Conclusions: The structures of this model (FOF and WOMAC) can be used as a reference framework to design effective interventions for improving ADLs among elderly people during the COVID-19 epidemic. It is also recommended that a multi-component program be provided, which includes exercise and psychological strategies for this population during the COVID-19 pandemic through online videos, distance health programs, etc.