Cargando…

Effect of Uncertainty in Illness and Fatigue on Health-Related Quality of Life of Patients on Dialysis: A Cross-Sectional Correlation Study

This study aimed to determine the effect of uncertainty in illness and fatigue on the health-related quality of life of patients on dialysis. A community-based cross-sectional study was conducted among patients on hemodialysis (n = 80) and peritoneal dialysis (n = 81) in Korea. Data were collated us...

Descripción completa

Detalles Bibliográficos
Autores principales: Cho, Ok-Hee, Hong, Insook, Kim, Hyekyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601980/
https://www.ncbi.nlm.nih.gov/pubmed/36292490
http://dx.doi.org/10.3390/healthcare10102043
_version_ 1784817199069790208
author Cho, Ok-Hee
Hong, Insook
Kim, Hyekyung
author_facet Cho, Ok-Hee
Hong, Insook
Kim, Hyekyung
author_sort Cho, Ok-Hee
collection PubMed
description This study aimed to determine the effect of uncertainty in illness and fatigue on the health-related quality of life of patients on dialysis. A community-based cross-sectional study was conducted among patients on hemodialysis (n = 80) and peritoneal dialysis (n = 81) in Korea. Data were collated using self-reported structured questionnaires. Multiple regression analysis was used to identify those factors affecting the physical and mental health-related quality of life of patients. Patients on peritoneal dialysis reported higher levels of fatigue (p < 0.001). Factors affecting the physical health-related quality of life of patients on dialysis were fatigue (p < 0.001), employment (p = 0.001), and exercise (p = 0.016), thus explaining the observed variance of 37%. Factors affecting mental health-related quality of life were fatigue (p < 0.001), uncertainty (p = 0.004), educational level (p = 0.005), and smoking (p = 0.035). To improve the health-related quality of life of patients on dialysis, clinicians should assess their fatigue levels and plan multidisciplinary interventions to manage it. In addition, education level and employment status should be considered, and tailored interventions should be provided to acquire positive coping strategies and health promotion behaviors to counter disease uncertainty.
format Online
Article
Text
id pubmed-9601980
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-96019802022-10-27 Effect of Uncertainty in Illness and Fatigue on Health-Related Quality of Life of Patients on Dialysis: A Cross-Sectional Correlation Study Cho, Ok-Hee Hong, Insook Kim, Hyekyung Healthcare (Basel) Article This study aimed to determine the effect of uncertainty in illness and fatigue on the health-related quality of life of patients on dialysis. A community-based cross-sectional study was conducted among patients on hemodialysis (n = 80) and peritoneal dialysis (n = 81) in Korea. Data were collated using self-reported structured questionnaires. Multiple regression analysis was used to identify those factors affecting the physical and mental health-related quality of life of patients. Patients on peritoneal dialysis reported higher levels of fatigue (p < 0.001). Factors affecting the physical health-related quality of life of patients on dialysis were fatigue (p < 0.001), employment (p = 0.001), and exercise (p = 0.016), thus explaining the observed variance of 37%. Factors affecting mental health-related quality of life were fatigue (p < 0.001), uncertainty (p = 0.004), educational level (p = 0.005), and smoking (p = 0.035). To improve the health-related quality of life of patients on dialysis, clinicians should assess their fatigue levels and plan multidisciplinary interventions to manage it. In addition, education level and employment status should be considered, and tailored interventions should be provided to acquire positive coping strategies and health promotion behaviors to counter disease uncertainty. MDPI 2022-10-16 /pmc/articles/PMC9601980/ /pubmed/36292490 http://dx.doi.org/10.3390/healthcare10102043 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cho, Ok-Hee
Hong, Insook
Kim, Hyekyung
Effect of Uncertainty in Illness and Fatigue on Health-Related Quality of Life of Patients on Dialysis: A Cross-Sectional Correlation Study
title Effect of Uncertainty in Illness and Fatigue on Health-Related Quality of Life of Patients on Dialysis: A Cross-Sectional Correlation Study
title_full Effect of Uncertainty in Illness and Fatigue on Health-Related Quality of Life of Patients on Dialysis: A Cross-Sectional Correlation Study
title_fullStr Effect of Uncertainty in Illness and Fatigue on Health-Related Quality of Life of Patients on Dialysis: A Cross-Sectional Correlation Study
title_full_unstemmed Effect of Uncertainty in Illness and Fatigue on Health-Related Quality of Life of Patients on Dialysis: A Cross-Sectional Correlation Study
title_short Effect of Uncertainty in Illness and Fatigue on Health-Related Quality of Life of Patients on Dialysis: A Cross-Sectional Correlation Study
title_sort effect of uncertainty in illness and fatigue on health-related quality of life of patients on dialysis: a cross-sectional correlation study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601980/
https://www.ncbi.nlm.nih.gov/pubmed/36292490
http://dx.doi.org/10.3390/healthcare10102043
work_keys_str_mv AT chookhee effectofuncertaintyinillnessandfatigueonhealthrelatedqualityoflifeofpatientsondialysisacrosssectionalcorrelationstudy
AT honginsook effectofuncertaintyinillnessandfatigueonhealthrelatedqualityoflifeofpatientsondialysisacrosssectionalcorrelationstudy
AT kimhyekyung effectofuncertaintyinillnessandfatigueonhealthrelatedqualityoflifeofpatientsondialysisacrosssectionalcorrelationstudy