ArticleScientific reports2025
Prediction model for identifying a high-risk group for food insecurity among elderly South Koreans.
Article in Scientific reports, 2025. 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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2 citing papers in PubMed.
- Health status of poor, older urban adults compared with key health indicators from the 2023 Korea National Health and Nutrition Examination Survey in the Republic of Korea: a cross-sectional comparative study.Journal of Korean biological nursing science · 2026Article
- Association Between Exposure to Age Discrimination and Nutritional Risk: Findings from a Nationwide Sample of Older Adults in South Korea.Nutrients · 2025Article
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1 author.
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Abstract
This study aimed to develop a prediction model for food insecurity status in elderly South Koreans. It focused on identifying the key factors that contribute to food insecurity within this demographic. A cross-sectional study was conducted using data from the 2022 Korea Community Health Survey. Subjects were divided into four groups; A: Sufficient quantity and variety of food, B: Sufficient quantity but not variety of food, C: Sometimes insufficient quantity and variety of food, and D: Often insufficient quantity and variety of food. Decision tree analysis was conducted to build a prediction model of food insecurity. Individuals who were not receiving basic livelihood assistance, were living with a family member, and had a diploma beyond college level were the highest proportion (75.8%) in Group A. For Group B, those who were not receiving basic livelihood assistance, were living alone, and had depression were the highest proportion (49.4%). In Group C, those who were receiving basic livelihood assistance, had no depression, and were living alone were the highest proportion (44.2%). Finally, those who were basic livelihood assistance, showed depression, and were living alone were the highest proportion of Group D (14.3%). The food insecurity of the elderly in South Korea is associated with basic livelihood assistance, depression, education level, and household type.
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