Purpose: The purpose of this study was to investigate dry eye, depression and vision related to quality of life in elderly. Method: A cross-sectional study design was used and participants included 178 elderly people who living in G-city and J-do. Date were collected from March to April, 2016. Using...
Purpose: The purpose of this study was to investigate dry eye, depression and vision related to quality of life in elderly. Method: A cross-sectional study design was used and participants included 178 elderly people who living in G-city and J-do. Date were collected from March to April, 2016. Using SPSS/WIN 23.0 program data were analyzed by descriptive statistics, Independent t-test, one-way ANOVA(post-test is Scheffé) and pearson's correlation coefficient. Results: The average level of OSDI was 23.08. There were significant differences in the dry eye according to gender(t=-4.10, p<.001), spouse(t=-3.93, p<.001), education level(F=12.06, p<.001), occupation(t=-6.28, p<.001), economic status(F=5.56, p=.005), drinking(t=-4.58, p<.001), smoking(t=-4.64, p<.001), diabetes mellitus(t=2.04, p=.045), arthritis(t=3.55, p<.001), medications(t=2.39, p=.018), Smart-Phone use(t=-2.59, p=.010), computer use(t=-5.51, p<.001), diagnosis of dry eye disease(t=2.72, p=.007) and diagnosis of presbyopia(t=2.87, p=.005). There were collelations among dry eye, depression and vision related to quality of life in elderly. Conclusion: The results of this study suggest that we need to have attention about psychological problem by dry eye in the elderly.
Purpose: The purpose of this study was to investigate dry eye, depression and vision related to quality of life in elderly. Method: A cross-sectional study design was used and participants included 178 elderly people who living in G-city and J-do. Date were collected from March to April, 2016. Using SPSS/WIN 23.0 program data were analyzed by descriptive statistics, Independent t-test, one-way ANOVA(post-test is Scheffé) and pearson's correlation coefficient. Results: The average level of OSDI was 23.08. There were significant differences in the dry eye according to gender(t=-4.10, p<.001), spouse(t=-3.93, p<.001), education level(F=12.06, p<.001), occupation(t=-6.28, p<.001), economic status(F=5.56, p=.005), drinking(t=-4.58, p<.001), smoking(t=-4.64, p<.001), diabetes mellitus(t=2.04, p=.045), arthritis(t=3.55, p<.001), medications(t=2.39, p=.018), Smart-Phone use(t=-2.59, p=.010), computer use(t=-5.51, p<.001), diagnosis of dry eye disease(t=2.72, p=.007) and diagnosis of presbyopia(t=2.87, p=.005). There were collelations among dry eye, depression and vision related to quality of life in elderly. Conclusion: The results of this study suggest that we need to have attention about psychological problem by dry eye in the elderly.
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