Abstract

This study was conducted to identify different trajectories of depressive symptoms among older adults transitioning to patients with chronic diseases and to test the associated predictors. Four waves of Korean Longitudinal Study of Ageing were used for analyses, and demographic, clinical, and social factors were included as predictors. Among 433 middle-aged and older adults transitioning between 1st and 2nd waves, three distinct depressive symptom trajectories were identified through growth mixture modeling: low and decreasing(17.2%), increasing then persistently moderate(61%), and increasing then persistently high(21.8%) depressive symptoms over time. Results of logistic regression showed that changes in marital status, cognitive function, perceived limitation of activities, frequency of social contact and satisfaction with family relationships distinguished the trajectories. Notably, cognitive function and family relationships emerged as crucial factors across all trajectory classes. Thus, it is highly recommended to exert great effort to reduce depression levels of chronic patients by enhancing their cognitive function levels and family relationship satisfaction.

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