The prevalence of depression is 33.33% to 78.8% for hemodialysis patients, 19% to 51.5% for peritoneal dialysis patients, and 20% to 45% for kidney transplant recipients. Depression can increase symptoms, reduce treatment compliance, and thus increase hospitalization and morbidity rate. So we exploring the Influence of Biochemistry, Disease characteristics, Symptom Distress, Illness Intrusiveness, Social Support, and Hope on Depression in Dialysis Patients. Understanding the factors that influence depression can help to screen for high-risk groups and develop preventive measures for depression.
Methods:
The purpose of this study was to investigate depression among dialysis patients and its influencing factors, including demographics, disease characteristics, serum values (calcium, phosphorus, hemoglobin), symptom distress, illness intrusiveness, social support, and a sense of hope. The study used a descriptive study design. A convenietn sample of 130 dialysis patients with end-stage renal diseases were recurited from a medical center in northern Taiwan.
The data were collected by using a structured questionnaire, including questions on demogrphics , the Symptom Distress Scale, the Illness Intrusiveness Ratings Scale, the Social Support Scale, the Herth Hope Index and the Center for Epidemiological Studies Depression Scale. The patient's serum calcium, phosphorus, and hemoglobin values were collected via medical records. The data were analyzed by IBM SPSS 22.0 software package. The main analytical methods included descriptive statistics, independent sample t-test, one-way analysis of variance , Pearson correlation analysis and hierarchical regression analysis.
Results:
The results of hierarchical regression analysis show that economic conditions, disease duration, hemoglobin, symptom distress, illness intrusiveness, social support, and sense of hope are important predictors for depression. The seven factors together can explain the 64% of variation in depression. The shorter the dialysis time, the worse the economic situation, the lower the hemoglobin, the more serious the symptoms, the higher the degree of disease interference, the lower the level of social support, and the lower the level of hope, the more depressed the dialysis patient serious.
Conclusion:
The results of the study can be used as a reference for screening high-risk groups of depression and providing appropriate care measures.