A Study on Family Support and Resilience of the Elderly

Abstract

This study attempted to provide basic data on mental health by identifying the factors that influence the elderly's personal characteristics on family support and resilience. Data collection conducted from October 1, 2019 to January 31, 2020 with the consent of the subjects, and 170 participants used for the final analysis. The questionnaire was composed of demographic characteristics, family support, and resilience. The collected data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation, and multiple regression using the SPSS 21.0 statistical program. As result of this study, there were statistically significant differences in family support according to general characteristics in terms of education level, religion, living standard, housing type, subjective health status, and health concern. Resilience showed statistically significant differences in education level, religion, occupation, monthly income, living standard, subjective health status, and health interest. Family support had a positive correlation with resilience, and resilience had a positive correlation with subjective health status. In the results of regression analysis, monthly income, standard of living, and family support were the predictors of resilience as factors affecting resilience, and the total explanatory power of these variables was 36.5%. This study expected to be able to be used as a basis for improving the mental health of the elderly.