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Factors Affecting Quality of Life in Hemodialysis Patients

BACKGROUND: Hemodialysis is one of the main therapies for patients with end-stage renal disease. Quality of life is essential in the management of chronic kidney disease (CKD) patients undergoing hemodialysis. Factors that influence the quality of life in hemodialysis patients must be identified. PU...

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Autores principales: Yonata, Ade, Islamy, Nurul, Taruna, Ahmad, Pura, Lukman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9480587/
https://www.ncbi.nlm.nih.gov/pubmed/36118180
http://dx.doi.org/10.2147/IJGM.S375994
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author Yonata, Ade
Islamy, Nurul
Taruna, Ahmad
Pura, Lukman
author_facet Yonata, Ade
Islamy, Nurul
Taruna, Ahmad
Pura, Lukman
author_sort Yonata, Ade
collection PubMed
description BACKGROUND: Hemodialysis is one of the main therapies for patients with end-stage renal disease. Quality of life is essential in the management of chronic kidney disease (CKD) patients undergoing hemodialysis. Factors that influence the quality of life in hemodialysis patients must be identified. PURPOSE: This research evaluated the quality of life in CKD patients undergoing hemodialysis and determined factors affecting the quality of life. PATIENTS AND METHODS: This study used an analytical survey method with a cross-sectional design. The Subjective Global Assessment (SGA) questionnaire was used to evaluate nutritional status, and the KDQOL-SF(TM) questionnaire was used to evaluate quality of life. The bivariate statistical test applied was the Student’s t-test or the Mann–Whitney U-test. Multivariate analysis was done using logistic regression. RESULTS: The total number of hemodialysis patients in the study was 124. Their median age was 44 years. The patients consisted of 66 (53%) men and 58 (47%) women. Overall, 84 patients had good quality of life (67.7%), and 40 (32.3%) reported poor quality of life. Our study showed a relationship between economic status and quality of life (p = 0.029) and between the number of comorbid factors and quality of life (p = 0.014). No relationship was found between nutritional status and quality of life (p = 0.121). Multivariate analysis using logistic regression analysis showed that the number of comorbidities was a significant factor in quality of life (p = 0.004, OR = 3.4 [1.67–7.46]). CONCLUSION: The majority of hemodialysis patients had good quality of life. Logistic regression analysis found that the number of comorbidities was a significant factor in the quality of life of hemodialysis patients. Comorbidities in hemodialysis patients must be managed to improve their quality of life.
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spelling pubmed-94805872022-09-17 Factors Affecting Quality of Life in Hemodialysis Patients Yonata, Ade Islamy, Nurul Taruna, Ahmad Pura, Lukman Int J Gen Med Original Research BACKGROUND: Hemodialysis is one of the main therapies for patients with end-stage renal disease. Quality of life is essential in the management of chronic kidney disease (CKD) patients undergoing hemodialysis. Factors that influence the quality of life in hemodialysis patients must be identified. PURPOSE: This research evaluated the quality of life in CKD patients undergoing hemodialysis and determined factors affecting the quality of life. PATIENTS AND METHODS: This study used an analytical survey method with a cross-sectional design. The Subjective Global Assessment (SGA) questionnaire was used to evaluate nutritional status, and the KDQOL-SF(TM) questionnaire was used to evaluate quality of life. The bivariate statistical test applied was the Student’s t-test or the Mann–Whitney U-test. Multivariate analysis was done using logistic regression. RESULTS: The total number of hemodialysis patients in the study was 124. Their median age was 44 years. The patients consisted of 66 (53%) men and 58 (47%) women. Overall, 84 patients had good quality of life (67.7%), and 40 (32.3%) reported poor quality of life. Our study showed a relationship between economic status and quality of life (p = 0.029) and between the number of comorbid factors and quality of life (p = 0.014). No relationship was found between nutritional status and quality of life (p = 0.121). Multivariate analysis using logistic regression analysis showed that the number of comorbidities was a significant factor in quality of life (p = 0.004, OR = 3.4 [1.67–7.46]). CONCLUSION: The majority of hemodialysis patients had good quality of life. Logistic regression analysis found that the number of comorbidities was a significant factor in the quality of life of hemodialysis patients. Comorbidities in hemodialysis patients must be managed to improve their quality of life. Dove 2022-09-12 /pmc/articles/PMC9480587/ /pubmed/36118180 http://dx.doi.org/10.2147/IJGM.S375994 Text en © 2022 Yonata et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Yonata, Ade
Islamy, Nurul
Taruna, Ahmad
Pura, Lukman
Factors Affecting Quality of Life in Hemodialysis Patients
title Factors Affecting Quality of Life in Hemodialysis Patients
title_full Factors Affecting Quality of Life in Hemodialysis Patients
title_fullStr Factors Affecting Quality of Life in Hemodialysis Patients
title_full_unstemmed Factors Affecting Quality of Life in Hemodialysis Patients
title_short Factors Affecting Quality of Life in Hemodialysis Patients
title_sort factors affecting quality of life in hemodialysis patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9480587/
https://www.ncbi.nlm.nih.gov/pubmed/36118180
http://dx.doi.org/10.2147/IJGM.S375994
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