Abstract
The study examines the impact of income on depression levels among individuals aged 60 and older using data from the China Health and Retirement Longitudinal Study (CHARLS) 2020. It found a correlation between income and depression, but the regression analysis did not show statistical significance. Higher levels of depression were associated with marriage and self-rated physical health, while lower levels were associated with gender, education level, and place of living. The research suggests a "four-in-one" synergistic process to improve the mental health and well-being of the elderly.
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