노인의 우울정도 영향요인: 전기노인과 후기노인의 비교
Factors Influencing the Level of Depression in Older Adults: A Comparison between the Young-Old and the Old-Old
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Purpose: This study analyzed the factors influencing depression among older adults in South Korea and compareddifferences by age group to suggest tailored intervention strategies. Methods: Using data from the 2020 Korean ElderlySurvey, 9,920 adults aged ≥65 years were categorized as young-old (n=5,977) and old-old (n=3,943). Data were analyzedusing SPSS 23.0, with descriptive statistics, the x2 test, and logistic regression. Results: Significant group differences wereobserved for most variables related to personal, physical, mental, familial, and social factors. Logistic regression analysisrevealed the shared and distinct predictors of depression. Among the young-old, those with lower education had a 1.65times higher risk of depression than those with higher education (95% confidence interval [CI]: 1.04~2.63). Among theold-old, economic activity was associated with a 0.67-fold lower risk of depression (95% CI: 0.52~0.87), whereas familyconflict was associated with a 1.56-fold higher risk (95% CI: 1.06~2.31). Conclusion: Age-specific depression preventionand welfare support systems are essential. These findings provide foundational data for managing systematic depressionand highlight the need for longitudinal and qualitative studies to better understand depression in older adults.
Abstract
Purpose: This study analyzed the factors influencing depression among older adults in South Korea and compareddifferences by age group to suggest tailored intervention strategies. Methods: Using data from the 2020 Korean ElderlySurvey, 9,920 adults aged ≥65 years were categorized as young-old (n=5,977) and old-old (n=3,943). Data were analyzedusing SPSS 23.0, with descriptive statistics, the x2 test, and logistic regression. Results: Significant group differences wereobserved for most variables related to personal, physical, mental, familial, and social factors. Logistic regression analysisrevealed the shared and distinct predictors of depression. Among the young-old, those with lower education had a 1.65times higher risk of depression than those with higher education (95% confidence interval [CI]: 1.04~2.63). Among theold-old, economic activity was associated with a 0.67-fold lower risk of depression (95% CI: 0.52~0.87), whereas familyconflict was associated with a 1.56-fold higher risk (95% CI: 1.06~2.31). Conclusion: Age-specific depression preventionand welfare support systems are essential. These findings provide foundational data for managing systematic depressionand highlight the need for longitudinal and qualitative studies to better understand depression in older adults.