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- Title
Self-care self-efficacy and depression associated with quality of life among patients undergoing hemodialysis in Vietnam.
- Authors
Nguyen, Thi Thuy Nga; Liang, Shu-Yuan; Liu, Chieh-Yu; Chien, Ching-Hui
- Abstract
Background: Hemodialysis impacts the quality of life of patients with end-stage renal disease. Particularly, depression is the most common psychological condition among patients. Self-care self-efficacy might play an important role in quality of life of patients with hemodialysis. Objective: This study was designed to explore the relationships among self-care self-efficacy, depression, and quality of life. The second aim was to explore the extent to which self-care self-efficacy and depression explain the variance in quality of life of patients on hemodialysis. Methods: This cross-sectional study included 127 patients receiving hemodialysis and used the Short Form 36 Health Survey, the Strategies Used by People to Promote Health, and the Patient Health Questionnaire 9 to evaluate quality of life, self-care self-efficacy, and depression. Data was analyzed using independent t-test, analysis of variance, Pearson's correlation and hierarchical multiple regression. Results: The findings indicated that self-care self-efficacy was significantly positively correlated (PCS r =.533, p < 0.001, MCS r =.47, p <.001) and depression was significantly negatively correlated (PCS r = −.446, p <.001, MCS r = −.605, p <.001) with the two quality of life components. Self-care self-efficacy and depression were significant predictors of the physical (R2inc = 0.09, β = -0.38, p<0.001, R2inc = 0.12, β = -0.22, p<0.001) and mental (R2inc = 0.04%, β = -0.25, p<0.001, R2inc = 0.33, β = -0.51, p<0.001) quality of life of hemodialysis patients. Conclusions: Health professionals may target improving self-care self-efficacy and reducing depressive symptoms to enhance patient quality of life.
- Subjects
VIETNAM; SELF-efficacy; PEARSON correlation (Statistics); HEMODIALYSIS patients; QUALITY of life; CHRONIC kidney failure; MEDICAL personnel; MULTIPLE regression analysis
- Publication
PLoS ONE, 2022, Vol 17, Issue 6, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0270100