[Factors predicting depression in hemodialysis patients]

Area of Science:

• Nephrology
• Psychiatry
• Medical Statistics

Context:

• Maintenance hemodialysis is a critical treatment for end-stage renal disease.
• Patients on hemodialysis experience a high prevalence of psychological distress, including depression.
• Understanding factors contributing to depression is vital for improving patient quality of life.

Purpose:

• To identify the primary factors affecting depression in patients undergoing maintenance hemodialysis.
• To establish a predictive model for depression in this patient population.
• To provide foundational data for developing targeted interventions.

Summary:

• A study involving 191 maintenance hemodialysis patients analyzed depression using validated instruments measuring fatigue, sleep disturbance, stress, adaptation, symptoms, daily activities, and role limitation.
• Multiple regression analysis indicated that symptoms, stress, role limitation, and adaptation were significant predictors of depression, explaining 58.4% of the variance.
• The strongest predictor of depression was the presence of symptoms, highlighting the need for symptom management.

Impact:

• The developed regression equation model can serve as a valuable tool for predicting depression in hemodialysis patients.
• Early identification of at-risk patients can facilitate timely and appropriate interventions.
• This research contributes to a better understanding of the multifactorial nature of depression in chronic kidney disease patients.