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Health-Related Quality of Life Among Myocardial Infarction Survivors: Structural Equation Modeling Approach

BACKGROUND: Myocardial infarction is the fifth leading causes of disability-adjusted life years in low-income countries including Ethiopia. The aim of this study was to construct a hypothetical model to determine the factors affecting the health-related quality of life of myocardial infarction survi...

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Autores principales: Lamesgin Endalew, Helen, Liyew, Bikis, Kassew, Tilahun, Ewnetu Tarekegn, Gebrekidan, Dejen Tilahun, Ambaye, Sewunet Alamneh, Tesfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235930/
https://www.ncbi.nlm.nih.gov/pubmed/34188481
http://dx.doi.org/10.2147/JMDH.S296064
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author Lamesgin Endalew, Helen
Liyew, Bikis
Kassew, Tilahun
Ewnetu Tarekegn, Gebrekidan
Dejen Tilahun, Ambaye
Sewunet Alamneh, Tesfa
author_facet Lamesgin Endalew, Helen
Liyew, Bikis
Kassew, Tilahun
Ewnetu Tarekegn, Gebrekidan
Dejen Tilahun, Ambaye
Sewunet Alamneh, Tesfa
author_sort Lamesgin Endalew, Helen
collection PubMed
description BACKGROUND: Myocardial infarction is the fifth leading causes of disability-adjusted life years in low-income countries including Ethiopia. The aim of this study was to construct a hypothetical model to determine the factors affecting the health-related quality of life of myocardial infarction survivors at the cardiac center Ethiopia. METHODS: A cross-sectional study design was employed, and 421 myocardial infarction patients were enrolled through consecutive sampling technique from the outpatient clinic at the cardiac center of Ethiopia. The World Health Organization Quality of Life-BREF-26 tool was used to assess the problem. It consists of four domains such as physical, psychological, social relationships, and environmental health domains. The structural equation modeling (SEM) analysis was employed using STATA-14 software to examine the relationship between various exogenous and endogenous or mediating variables with overall quality of life. RESULTS: Psychological, physical, environmental health domains and sex had significant association with health-related quality of life (β=0.708, p<0.001, β= 0.237, p=0.046, β=0.242, p=0.020, and β=0.189, p=0.017, respectively), whereas age had direct, negative association with health-related quality of life (β=−0.007, p=0.026). Residence and level of education were not directly associated with health-related quality of life. Residence indirectly, negatively influenced health-related quality of life (β= −0.379, p<0.001). On the other hand, level of education indirectly, positively affects health-related quality of life (β=i0.133, p<0.001). CONCLUSION: Psychological health factors had the most substantial causal effect on health-related quality of life, which was larger than the causal effects of physical and environmental health-related factors. Developing and providing comprehensive interventions are necessary to assess and manage psychological, physical, and environmental health factors and to improve the quality of life in myocardial infarction patients.
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spelling pubmed-82359302021-06-28 Health-Related Quality of Life Among Myocardial Infarction Survivors: Structural Equation Modeling Approach Lamesgin Endalew, Helen Liyew, Bikis Kassew, Tilahun Ewnetu Tarekegn, Gebrekidan Dejen Tilahun, Ambaye Sewunet Alamneh, Tesfa J Multidiscip Healthc Original Research BACKGROUND: Myocardial infarction is the fifth leading causes of disability-adjusted life years in low-income countries including Ethiopia. The aim of this study was to construct a hypothetical model to determine the factors affecting the health-related quality of life of myocardial infarction survivors at the cardiac center Ethiopia. METHODS: A cross-sectional study design was employed, and 421 myocardial infarction patients were enrolled through consecutive sampling technique from the outpatient clinic at the cardiac center of Ethiopia. The World Health Organization Quality of Life-BREF-26 tool was used to assess the problem. It consists of four domains such as physical, psychological, social relationships, and environmental health domains. The structural equation modeling (SEM) analysis was employed using STATA-14 software to examine the relationship between various exogenous and endogenous or mediating variables with overall quality of life. RESULTS: Psychological, physical, environmental health domains and sex had significant association with health-related quality of life (β=0.708, p<0.001, β= 0.237, p=0.046, β=0.242, p=0.020, and β=0.189, p=0.017, respectively), whereas age had direct, negative association with health-related quality of life (β=−0.007, p=0.026). Residence and level of education were not directly associated with health-related quality of life. Residence indirectly, negatively influenced health-related quality of life (β= −0.379, p<0.001). On the other hand, level of education indirectly, positively affects health-related quality of life (β=i0.133, p<0.001). CONCLUSION: Psychological health factors had the most substantial causal effect on health-related quality of life, which was larger than the causal effects of physical and environmental health-related factors. Developing and providing comprehensive interventions are necessary to assess and manage psychological, physical, and environmental health factors and to improve the quality of life in myocardial infarction patients. Dove 2021-06-22 /pmc/articles/PMC8235930/ /pubmed/34188481 http://dx.doi.org/10.2147/JMDH.S296064 Text en © 2021 Lamesgin Endalew 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
Lamesgin Endalew, Helen
Liyew, Bikis
Kassew, Tilahun
Ewnetu Tarekegn, Gebrekidan
Dejen Tilahun, Ambaye
Sewunet Alamneh, Tesfa
Health-Related Quality of Life Among Myocardial Infarction Survivors: Structural Equation Modeling Approach
title Health-Related Quality of Life Among Myocardial Infarction Survivors: Structural Equation Modeling Approach
title_full Health-Related Quality of Life Among Myocardial Infarction Survivors: Structural Equation Modeling Approach
title_fullStr Health-Related Quality of Life Among Myocardial Infarction Survivors: Structural Equation Modeling Approach
title_full_unstemmed Health-Related Quality of Life Among Myocardial Infarction Survivors: Structural Equation Modeling Approach
title_short Health-Related Quality of Life Among Myocardial Infarction Survivors: Structural Equation Modeling Approach
title_sort health-related quality of life among myocardial infarction survivors: structural equation modeling approach
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235930/
https://www.ncbi.nlm.nih.gov/pubmed/34188481
http://dx.doi.org/10.2147/JMDH.S296064
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