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E-ISSN : 2733-4538
The purpose of this study was to examine the effect of sleep on depression among older adults and to determine which sleep variables best explain depression. The data for this study were from the fourth wave of the Korean Social Life, Health and Aging Project (KSHAP). A hierarchical regression analysis was conducted to determine whether sleep variables, such as sleep latency, sleep quality, and nightmares could predict depression after controlling for demographic and health status variables. The results indicated that, similar to the hypotheses, some sleep variables predict depression, even after controlling other variables (R2=.34, ΔR2=.07, F(20, 543)=14.05, p<.001). Specifically, breathing discomfort (β=.09, p<.05), nightmares (β=.10, p<.05), low sleep quality (β=.12, p<.01), and difficulty of concentration (β=.19, p<.001) predict depression significantly, and their correlations were also significant. These findings suggest that various sleep problems interact with each other. Therefore, increasing general sleep quality would aid in the prevention of depression among older adults by examining the sleep problems in detail.
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