Assessment of Depression in Hemodialysis Patients and its Impact on Quality of Life

Abdelmobdy, Ashraf Hassan; Mohamed, Yasser A; Mohamed, Fatma A; Attallah, Cherry Reda K

doi:10.21608/asmj.2022.161857.1045

Assessment of Depression in Hemodialysis Patients and its Impact on Quality of Life

Articles in Press

Document Type : Original Article

Authors

¹ Internal Medicine Department, Faculty of Medicine Ain Shams University, Cairo, Egypt.

² Psychiatry department, Faculty of Medicine Ain Shams University, Cairo, Egypt.

³ Nephrology Department, Faculty of Medicine Ain Shams University, Cairo, Egypt

10.21608/asmj.2022.161857.1045

Abstract

Background: It is widely believed that hemodialysis (HD) patients are at a significantly increased risk for developing mental health issues. Depression is generally recognized as the most prevalent psychological issue among cases who have end-stage renal disease (ESRD), which will negatively impact their quality of life (QoL).
Methods: Five hundred people with HD were the subjects of a cross-sectional study. Beck's Depression Inventory (BDI) was used to determine the frequency of depressive symptoms. The BDI consists of 21 questions, each on a scale from 0 to 3. Quality of life was measured using the SF-12, a condensed version of the more comprehensive SF-36 Health Survey that includes 12 questions.
Results: The mean age of 500 HD patients was (51.14 11.70) years, ranging from 16 to 82 years. Approximately 8% of our patients had no depression, 28.6% had mild depression, 38.8% had moderate depression, and 24.6% had severe depression. Mean mental component score (MCS) was 42.65±5.79, mean physical component score (PCS) was 39.01±7.21, and the mean total score was 81.66 ±12.04. Total, mental, and physical scores were all significantly correlated with BDI levels. A rise in physical and mental functions is associated with decreased depression.
Conclusion: Depression is prevalent among our dialysis patients, regardless of its degree. Various aspects of QoL are impacted in our dialysis patients. Depression is highly statistically significant in predicting PCS, MCS, and the total score of SF12v1.

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