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Article

Predicting Depression in Older Adults after the COVID-19 Pandemic Using ICF Model

Department of Digital Anti-Aging Healthcare, Graduate School (BK21), Inje University, Gimhae 50834, Republic of Korea
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Author to whom correspondence should be addressed.
Healthcare 2023, 11(8), 1181; https://doi.org/10.3390/healthcare11081181
Submission received: 3 March 2023 / Revised: 12 April 2023 / Accepted: 19 April 2023 / Published: 20 April 2023

Abstract

This study aimed to test a predictive model for depression in older adults in the community after the COVID-19 pandemic and identify influencing factors using the International Classification of Functioning, Disability, and Health (ICF). The subjects of this study were 9920 older adults in South Korean local communities. The analysis results of path analysis and bootstrapping analysis revealed that subjective health status, instrumental activities of daily living (IADL), number of chronic diseases, social support satisfaction, household economic level, informal support, and participation in social groups were factors directly influencing depression, while formal support, age, gender, education level, employment status, and participation in social groups were factors indirectly affecting it. It will be needed to prepare measures to prevent depression in older adults during an infectious disease pandemic, such as the COVID-19 pandemic, based on the results of this study.
Keywords: COVID-19; pandemic; older adults; depression; International Classification of Functioning, Disability, and Health COVID-19; pandemic; older adults; depression; International Classification of Functioning, Disability, and Health

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MDPI and ACS Style

Been, S.; Byeon, H. Predicting Depression in Older Adults after the COVID-19 Pandemic Using ICF Model. Healthcare 2023, 11, 1181. https://doi.org/10.3390/healthcare11081181

AMA Style

Been S, Byeon H. Predicting Depression in Older Adults after the COVID-19 Pandemic Using ICF Model. Healthcare. 2023; 11(8):1181. https://doi.org/10.3390/healthcare11081181

Chicago/Turabian Style

Been, Seonjae, and Haewon Byeon. 2023. "Predicting Depression in Older Adults after the COVID-19 Pandemic Using ICF Model" Healthcare 11, no. 8: 1181. https://doi.org/10.3390/healthcare11081181

APA Style

Been, S., & Byeon, H. (2023). Predicting Depression in Older Adults after the COVID-19 Pandemic Using ICF Model. Healthcare, 11(8), 1181. https://doi.org/10.3390/healthcare11081181

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