Ahmad Fariz Malvi Zamzam Zein, Witri Pratiwi, Naswidi Dohana
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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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"13 ","pages":"151"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11342023/pdf/","citationCount":"0","resultStr":"{\"title\":\"The frailty among suburban elderly population after one-year COVID-19 pandemic in Cirebon Regency, Indonesia.\",\"authors\":\"Ahmad Fariz Malvi Zamzam Zein, Witri Pratiwi, Naswidi Dohana\",\"doi\":\"10.12688/f1000research.145504.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>One-year COVID-19 pandemic has had a considerable burden on frailty among the suburban elderly population in Indonesia. 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The frailty among suburban elderly population after one-year COVID-19 pandemic in Cirebon Regency, Indonesia.
Background: 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.
Methods: 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.
Results: 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.
Conclusion: 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.
F1000ResearchPharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍：
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