혈액투석 환자의 투석적절도, 증상경험, 기분상태 및 희망의 관계
Dialysis adequacy, symptom experience, mood states, and hope among patients receiving hemodialysis
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Purpose: This study aimed to examine the relationships between dialysis adequacy, symptoms experience, and mood states and identify the factors affecting hope in hemodialysis patients. Methods: This was a descriptive correlational study with a convenience sample of 129 hemodialysis patients recruited from three hospitals in B City, Korea. Measures included the Dialysis Symptom Index, Profile of Mood States-Brief, and Miller Hope Scale. Dialysis adequacy was calculated with data from patients’ medical records. Data were analyzed with descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and hierarchical multiple regression. Results: In hierarchical regression analysis, the final model was statistically significant (F=15.16, p<.001) and explained about 47.0% of the total variance: 14.0% of participants‘ significant characteristics, 3.0% of dialysis adequacy, and 30.0% of symptom experience and mood disturbance. The significant predictors of hope were mood disturbance (β=-0.59), age (β=-0.24), perceived economic status (β=0.21) and dialysis adequacy (β=0.18). Conclusion: This study showed that hope in hemodialysis patients was higher when mood disturbance was low and dialysis adequacy was high. We suggest that efforts to reduce mood disturbance should be taken into account to improve their hope.
Abstract
Purpose: This study aimed to examine the relationships between dialysis adequacy, symptoms experience, and mood states and identify the factors affecting hope in hemodialysis patients. Methods: This was a descriptive correlational study with a convenience sample of 129 hemodialysis patients recruited from three hospitals in B City, Korea. Measures included the Dialysis Symptom Index, Profile of Mood States-Brief, and Miller Hope Scale. Dialysis adequacy was calculated with data from patients’ medical records. Data were analyzed with descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and hierarchical multiple regression. Results: In hierarchical regression analysis, the final model was statistically significant (F=15.16, p<.001) and explained about 47.0% of the total variance: 14.0% of participants‘ significant characteristics, 3.0% of dialysis adequacy, and 30.0% of symptom experience and mood disturbance. The significant predictors of hope were mood disturbance (β=-0.59), age (β=-0.24), perceived economic status (β=0.21) and dialysis adequacy (β=0.18). Conclusion: This study showed that hope in hemodialysis patients was higher when mood disturbance was low and dialysis adequacy was high. We suggest that efforts to reduce mood disturbance should be taken into account to improve their hope.
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