The purpose of this study was to analyze 110 hemodialysis patients’ fatigue and to find out the relationship between fatigue and the other variables. The independent variables were depressive mood, the provision of social support and the index of blood biochemical data. The subjects were in the end stage of renal failure with long term hemodialysis treatment in hemodialysis centers. The tools used were as follows: fatigue scale, social support questionnaire, Beck Depression Inventory (BDI) and biochemical laboratory data. The statistic methods used were based on the Pearson product-moment correlation, independent t test, one-way ANOVA, X^2 test and multiple regression. The results were as follows: (1) The degree of fatigue was mild to moderate. (2) The fatigue was significantly associated with depression, with a correlation coefficient of 0.52 (p<0.05). The predictor of fatigue in this study was depression, which would explain 28.65% of total variance of hemodialysis patients’ fatigue. (3) The degree of fatigue was not associated with demographic variables (i.e.: sex, age, marriage, duration of hemodialysis treatment, education), nor with blood biochemical data or social support.
The purpose of this study was to analyze 110 hemodialysis patients’ fatigue and to find out the relationship between fatigue and the other variables. The independent variables were depressive mood, the provision of social support and the index of blood biochemical data. The subjects were in the end stage of renal failure with long term hemodialysis treatment in hemodialysis centers. The tools used were as follows: fatigue scale, social support questionnaire, Beck Depression Inventory (BDI) and biochemical laboratory data. The statistic methods used were based on the Pearson product-moment correlation, independent t test, one-way ANOVA, X^2 test and multiple regression. The results were as follows: (1) The degree of fatigue was mild to moderate. (2) The fatigue was significantly associated with depression, with a correlation coefficient of 0.52 (p<0.05). The predictor of fatigue in this study was depression, which would explain 28.65% of total variance of hemodialysis patients’ fatigue. (3) The degree of fatigue was not associated with demographic variables (i.e.: sex, age, marriage, duration of hemodialysis treatment, education), nor with blood biochemical data or social support.