Nejadsadeghi Elham, Papi Shahab, Cheraghi Maria, Norouzi Samaneh, Hosseini Fatemeh, Nejad Ghodratollah Shakeri
School of Public Health, Behbahan Faculty of Medical Sciences, Behbahan, Iran.
Department of Public Health, Faculty of Health, Social Determinant of Health Research Centre, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Prz Menopauzalny. 2022 Jun;21(2):111-116. doi: 10.5114/pm.2022.117183. Epub 2022 Jun 20.
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.
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.
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 ( < 0.001, root mean square error of approximation = 0.063). These variables explained 64% of the ADL variance.
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.
日常生活活动（ADL）是自我护理所需的一组基本技能。老年人无法进行日常生活活动会导致依赖、不安全状况和生活质量低下。新冠疫情影响了老年人日常生活的方方面面。本研究旨在使用结构方程模型/路径分析来确定新冠疫情期间老年人日常生活活动的相关因素。
这是一项描述性分析研究，对随机选取的487名老年人进行了研究。数据收集工具包括一份人口统计学信息问卷、一份日常生活活动问卷、一份西安大略和麦克马斯特大学骨关节炎指数（WOMAC）的膝关节疼痛与个人表现问卷以及跌倒效能量表，通过访谈和自我报告的方式完成。使用SPSS - 22和AMOS软件进行数据分析。
跌倒恐惧（FOF）以及膝关节疼痛与个人表现问卷WOMAC这两个结构在解释所研究老年人的日常生活活动差异方面具有显著作用（<0.001，近似均方根误差 = 0.063）。这些变量解释了64%的日常生活活动差异。
该模型的结构（FOF和WOMAC）可作为一个参考框架，用于设计有效的干预措施，以改善新冠疫情期间老年人的日常生活活动。还建议提供一个多组件计划，在新冠疫情期间通过在线视频、远程健康计划等为该人群提供包括运动和心理策略的计划。
