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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Shi et al. (2024) studied this question.
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