Abstract
The purpose of this study was to analyze the effect of anticipated variables on hemodialysis that was impact patients' quality of life. The subjects of the study were 104 patients who were over 18 years old. They were enrolled at Kidney dialysis unit in General Hospital located in T and M city, Republic Korea. And the duration of treatment was more than 6 months. They all met the research criteria and agreed to participate in the research. The research instrument have 25 questionnaire which were originally Ferrans' (1985) instrument to measure the quality of life for hemodialysis patients and later changed by Lee, Suk-Ja into the 35 items after eliminating repeated contents, the Cronbach's $\alpha$in this study was .87. The stress instrument was measured by 36 items which were modified and supplemented the instrument developed by Kim, Yong-Kyong(15) for hemodialysis patients, and the Cronbach's $\alpha$was .9333. Depression instrument was 20 questions modified BDI(Beck Depression Inventory) to meet hemodialysis patients' conditions, and Cronbach's $\alpha$ was .92. June 25, 1999 and the data was analyzed by SPSS/PC, and the statistical techniques were ANOVA(variables analysis), Scheffe test, Multiple Regression. The findings of this study were as follows: 1. The effect of general characteristics on hemodialysis patients' quality of life, the characteristics showing a statistically, significant difference were the existence of an occupation(t=6.7353, P= .0109), marital status (F=4.3550, P= .0290), economic status (F=4.6475, P= .0118) and presence of care support (F=2..4738, P= .0494). 2. The effect of general characteristics on the patient's stress, the characteristics showing a significant difference were gender (t= 4.1143, p= .0451), education level (F= 4.3550, p= .008), the existence of an occupation (t=8.7498, p= .0038), and presence of care support(F=3.1715, p= .0169). 3. The effects of general characteristics on depression, the characteristics were education level (F=3.7517, P= .0069), the existence of religion(t=9.4843, p= .0027), an occupation (t=15.3745, p= .0002), marital status (F=3.3400, P= .0223) and presence of care support (F=3.7605, p= .0069). 4. The Multiple Regression is used to identify the effect of anticipated variables on the patient's quality of life. The variables were depression (T=-9.656, P=.000), marital status (T=-2.287, P=.0243) and the regression expression was Y=117.62053 - 1.13618Χ$_1$ + 2.66213Χ$_2$(Χ$_1$: Depression, Χ$_2$ : Marriage), The explanation of the total regression expression appeared to be 52.578%.