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ORIGINAL RESEARCH

The Mediating Effect of Symptom Burden in the Depression and Quality of Life in Patients with Maintenance Hemodialysis

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Pages 2739-2746 | Received 21 Feb 2024, Accepted 16 Jul 2024, Published online: 25 Jul 2024
 

Abstract

Objective

To investigate current status of quality of life and the association between depression and symptom burden in a sample of Chinese maintenance hemodialysis (MHD) patients.

Methods

A self-designed patient general information questionnaire, disease-related information questionnaire, dialysis patient symptom burden scale, depression scale, and quality of survival scale were used to investigate 380 maintenance haemodialysis patients in haemodialysis centres. A regression model of the factors affecting the quality of survival was established using structural equation modelling.

Results

The regression model data had a high goodness of fit: c2/df = 4.736, RMSEA = 0.099, GFI = 0.918, CFI = 0.972, TLI = 0.962, SRMR = 0.0469. Structural equation model analysis showed that depression had a positive predictive effect on symptom burden, β = 0.398, P < 0.001; Symptom burden had a negative predictive effect on the quality of life, β =−0.851, P < 0.001; and Depression had a negative predictive effect on the quality of life, β =−0.151, P < 0.001. Depression indirectly affects the quality of life through symptom burdens.

Conclusion

Depression and symptom burden directly or indirectly affect the quality of life in patients with maintenance hemodialysis. Symptom burden moderates the relationship between depression and quality of life as a mediating variable.

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© 2024 Xia et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

Disclosure

The authors report no conflicts of interest in this work.

Additional information

Funding

The research was supported by Nanjing medical science and technology development fund numbered [YKK21255].