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KMID : 1002520170110040115
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Korean Journal of Health Service Management
2017 Volume.11 No. 4 p.115 ~ p.132
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Factors Affecting Depression Changes in Adults According to Chronic Disease Type
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Sohn Tae-Yong
Kim Yun-Hwa
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Abstract
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Objectives : The purpose of this study was to investigate the depressive change and predictors of chronic illnesses and to examine whether depressive change predictors are different according to chronic disease types.
Methods : Data from the 1st to the 10th year of the Korean Welfare Panel of 5,023 adults over 20 years of age who were treated for chronic diseases for more than three months were examined. We assessed demographic, sociological, and socioeconomic factors including depression predictors of chronically ill patients, and analyzed the data using latent growth modeling and multiple group analysis.
Results : Depression symptoms of chronically ill patients gradually decreased, showing a linear relationship across time. In addition, multiple group analysis was performed for each type of chronic disease.
Conclusions : We described the phenomenon of depression in chronically ill patients, and discussed the practical and policy interventions required to improve depression in chronically ill patients.
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KEYWORD
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Chronic Diseases, Depression Trajectory, Latent Growth Curve Modeling, Multi-Group Structural Equation Modeling
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