• Journal of Yeungnam Medical Science
• /
• 제40권1호
• /
• pp.49-57
• /
• 2023

Background: Several previous studies have reported that quality of life (QoL) in hemodialysis patients affects mortality. However, the 36-item Short Form Health Survey, which has been used mainly in previous studies, is complicated in terms of questionnaire composition and interpretation. This study aimed to identify the impact of QoL on mortality in hemodialysis patients using an easier and simpler diagnostic tool. Methods: This retrospective study included 160 hemodialysis patients. QoL was evaluated using the World Health Organization Quality of Life Questionnaire-Brief version (WHOQOL-BREF). Psychosocial factors were evaluated using the Hospital Anxiety and Depression Scale, Multidimensional Scale of Perceived Social Support, Montreal Cognitive Assessment, and Pittsburgh Sleep Quality Index. We also evaluated medical factors, such as dialysis adequacy and laboratory results. Results: The mean hemodialysis vintage was 70.7±38.0 months. The proportion of patients who were elderly was higher in the mortality group than in the surviving group, and the Charlson Comorbidity Index score was also higher in the former group. Of the four domains of the WHOQOL-BREF, the physical health and psychological scores of the mortality group were significantly lower than those of the survival group. When the score in the physical health domain or psychological domain was ≤10, the 10-year mortality rate after hemodialysis initiation increased by approximately 2.3- and 2-fold, respectively. Conclusion: QoL may have a significant effect on mortality in patients undergoing hemodialysis. The WHOQOL-BREF is an instrument that can measure QoL relatively easily and can be used to improve the long-term prognosis of patients undergoing hemodialysis.

• Journal of Nutrition and Health
• /
• 제35권5호
• /
• pp.544-557
• /
• 2002

This study was performed to evaluate the quality of nutrient intakes of the hemodialysis patients (26 men and 23 women) according to the socioeconomic status by 3-day dietary recall in Daejeon city and Chungnam area, Korea. Mean age of the subjects was 50.7 yrs and BMI was 22.0 $\pm$ 0.4 kg/$m^2$. Education level was divided into two groups ($\leq$ 9 years： LE group, 9 years： HE group), and monthly family income level was divided into three groups (< 500,000 won: LI group, 500,000-1,499,999 won: MI group, $\geq$ 1,500,000 won : HI group). The data were analyzed by Student t-test and Oneway ANOVA using SPSS 9.0 version at p < 0.05 level. Intakes of energy, carbohydrates, cholesterol, potassium, thiamin and riboflavin were significantly higher in HE group than in LE group (p < 0.05). Intakes of all the nutrients except protein and phosphorus were less than Korean RDA, and INQs (Index of Nutritional Quality) of most nutrients were lower than 1.0 but cholesterol, phosphorus. thiamin and niacin being over 1.0 in HE group. MAR (Mean adequacy ratio) of all the nutrients (e.g., energy, protein, calcium, phosphorus, iron, vitamin A, vitamin C, thiamin, riboflavin and niacin) was significantly higher in HE group (0.61 $\pm$ 0.04) than in LE group (0.48 $\pm$ 0.03) at p = 0.036. Intakes of energy, protein (total, animal and plant), fat, cholesterol, potassium, calcium, phosphorus, iron, vitamin A, thiamin and riboflavin were also significantly higher in HI group than in LI and MI group (p < 0.05). Daily intakes of most nutrients were less than Korean RDA except protein ed phosphorus in HI poop, and INQs of thiamin, niacin and phosphorus were higher than 1.0, while those of calcium, iron, vitamin A and riboflavin were lower than 1.0. MAR of energy and 9 nutrients was significantly higher in HI group (0.70 $\pm$ 0.04) than in LI group (0. 56 0.04) and MI poop (0.47 $\pm$ 0.03) at p = 0.000. In conclusion, quality of nutrient intakes, especially energy and protein, was significantly influenced by socioeconomic status such as education and monthly income (p < 0.05). This result suggests that it would be very helpful to develop nutritional education programs considering hemodialysis patients' education levels, and to improve public supports (e.g., medical insurance system, low-rate lease system of dialysis equipments, etc.) focusing on the patients' family income levels f3r their better nutrition and health.