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오정아(Junga Oh),유재언(Jaeeon Yoo),김상연(Sang-Youn Kim),신정민(Jungmin Shin),김시경(Siekyeong Kim) 충남대학교 사회과학연구소 2024 사회과학연구 Vol.35 No.2
The purpose of this study is to identify the predictors of life satisfaction in the elderly after COVID-19 in order to improve academic understanding of the elderlys satisfaction with life and to provide practical alternatives. For this purpose, data from the Chungcheongnam-do Social Survey were used, and data mining decision tree analysis was utilized. The results are as follows. First, anxiety was the highest predictor for quality of life in the elderly, followed by consumption, depression, and family relationships. Second, when the predictors of an elderly persons satisfaction with life were analyzed by gender, there were some differences between men and women. Men with low levels of anxiety, high satisfaction with their consumption, and who did not suffer from depression were more likely to be satisfied with life, while women with low anxiety, high satisfaction with their consumption, and lower age were more likely to be satisfied with life. Third, we analyzed the factors affecting life satisfaction based on factors derived from the decision tree analysis. The results showed that anxiety and depression, as well as family relationships, had a significant impact on life satisfaction in the elderly. Based on these results, policy and practical suggestions are made to improve the quality of life in the elderly.