Department of Internal Medicine, Waled General Hospital, Cirebon, West Java, 45187, Indonesia.
Department of Internal Medicine, Faculty of Medicine, Universitas Swadaya Gunung Jati, Cirebon, West Java, 45132, Indonesia.
F1000Res. 2024 Sep 10;13:151. doi: 10.12688/f1000research.145504.2. eCollection 2024.
The coronavirus disease 2019 (COVID-19) pandemic has had significant impacts worldwide, especially among older adults. Frailty is a determinant of susceptibility to morbidity and mortality due to COVID-19 in the elderly. This study aimed to determine frailty status and identify factors associated with the suburban elderly population in Cirebon Regency, Indonesia, after the one-year COVID-19 pandemic.
A cross-sectional study of community-dwelling individuals aged ≥ 60 years was conducted in Klangenan, Cirebon Regency, Indonesia, from March to June 2021. A questionnaire was used to determine the baseline characteristics of participants, healthcare access, comorbidity, and frailty status. The Ina-FRAIL scale was used to determine the frailty status (frail/non-frail). The chi-square test and logistic regression analysis were used to determine the association between independent variables and frailty.
A total of 383 participants were recruited, with a median age of 67 (IQR 64-73) years. The prevalence of frailty in the present study was 10.2%. Multivariate analysis showed that age (OR 2.73; 95%CI 1.21-6.12), multimorbidity (OR 7.86; 95% CI 3.01-20.57) and financial dependence (OR 13.40, 95% CI 5.66-31.73) were significantly associated with frailty.
One-year COVID-19 pandemic has had a considerable burden on frailty among the suburban elderly population in Indonesia. The factors associated with frailty were age, multimorbidity, and financial dependence.
2019 年冠状病毒病(COVID-19)大流行对全球造成了重大影响,尤其是老年人。衰弱是老年人因 COVID-19 而发病和死亡的易感性的决定因素。本研究旨在确定印度尼西亚井里汶摄政区郊区老年人在 COVID-19 大流行一年后的衰弱状况,并确定与该人群相关的因素。
2021 年 3 月至 6 月,在印度尼西亚井里汶摄政区的克拉根南进行了一项针对≥60 岁的社区居住者的横断面研究。使用问卷确定参与者的基线特征、获得医疗保健的机会、合并症和衰弱状况。使用 Ina-FRAIL 量表确定衰弱状况(虚弱/非虚弱)。卡方检验和逻辑回归分析用于确定独立变量与衰弱之间的关联。
共纳入 383 名参与者,中位年龄为 67(IQR 64-73)岁。本研究中衰弱的患病率为 10.2%。多变量分析显示,年龄(OR 2.73;95%CI 1.21-6.12)、多种合并症(OR 7.86;95%CI 3.01-20.57)和经济依赖(OR 13.40,95%CI 5.66-31.73)与衰弱显著相关。
COVID-19 大流行一年对印度尼西亚郊区老年人的衰弱状况造成了相当大的负担。与衰弱相关的因素是年龄、多种合并症和经济依赖。