ArticleHealthcare (Basel, Switzerland)2024
Predictors of Depression in Elderly According to Gender during COVID-19: Using the Data of 2020 Community Health Survey.
Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Explainable AI for Digital Health: Predicting Depression Risk in Older Adults Living Alone Using Machine Learning.Healthcare (Basel, Switzerland) · 2026Article
- [Risk factors of depression among the baby boomer generation: A cross-sectional study using the 2022 Korean Community Health Survey].Journal of Korean gerontological nursing · 2025Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to examine factors influencing depression according to gender in people during COVID-19.
methodsThis study was conducted on 61,147 elderly individuals over the age of 65 who participated in the 2020 Community Health Survey (CHS). Data analysis was conducted using SAS 9.4.
resultsElderly females had a higher perceived fear of COVID-19 than males. The common factors affecting depression in elderly individuals were age, monthly income, economic activity, stress, subjective health status, and social support. Among elderly women, changes in residential areas and daily life due to COVID-19 were identified as factors affecting depression.
conclusionsTherefore, during COVID-19, it was necessary to provide customized depression relief programs for the elderly, and it was necessary to find ways for them to positively perceive their health status and increase healthcare efficacy. In the future, it is necessary to pay attention to elderly women living in rural areas and make efforts to ensure that their daily lives are not interrupted by infectious diseases.
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