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Structural equation modeling of the quality of life for patients with marfan syndrome
BACKGROUND: We used structural equation modeling to evaluate the quality of life (QOL) for patients with Marfan syndrome (MFS). The goal was to provide guidelines to facilitate the development of interventions and strategies to improve the QOL for patients with MFS. METHODS: The participants fulfill...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4890270/ https://www.ncbi.nlm.nih.gov/pubmed/27249938 http://dx.doi.org/10.1186/s12955-016-0488-5 |
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author | Moon, Ju Ryoung Cho, Yong Ae Huh, June Kang, I-Seok Kim, Duk-Kyung |
author_facet | Moon, Ju Ryoung Cho, Yong Ae Huh, June Kang, I-Seok Kim, Duk-Kyung |
author_sort | Moon, Ju Ryoung |
collection | PubMed |
description | BACKGROUND: We used structural equation modeling to evaluate the quality of life (QOL) for patients with Marfan syndrome (MFS). The goal was to provide guidelines to facilitate the development of interventions and strategies to improve the QOL for patients with MFS. METHODS: The participants fulfilled the Ghent 2 criteria for MFS and they comprised patients who visited the cardiology outpatient department of a tertiary hospital in Seoul, Korea, between August 17, 2013 and April 17, 2014. Demographic, social support, disease-related factors, biobehavioral factors, and QOL data were collected in one-on-one interviews. RESULTS: The final analyses included 218 patients. Anxious and depressed patients comprised 63.8 and 71.5 % of the sample, respectively. For the hypothetical model, the goodness-of-fit index = 0.91, normal fit index = 0.93, and comparative fit index = 0.90. The outcome was suitable for the recommended level, so the hypothetical model appeared to fit the data. In patients with MFS, the QOL was affected significantly by social support, disease-related factors, and biobehavioral factors. These variables explained 72.4 % of the QOL in patients with MFS. Biobehavioral factors had the strongest and most direct effects on QOL. CONCLUSION: To improve QOL in patients with MFS, comprehensive interventions are necessary to assess and manage biobehavioral factors, social support, and disease-related factors. |
format | Online Article Text |
id | pubmed-4890270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48902702016-06-03 Structural equation modeling of the quality of life for patients with marfan syndrome Moon, Ju Ryoung Cho, Yong Ae Huh, June Kang, I-Seok Kim, Duk-Kyung Health Qual Life Outcomes Research BACKGROUND: We used structural equation modeling to evaluate the quality of life (QOL) for patients with Marfan syndrome (MFS). The goal was to provide guidelines to facilitate the development of interventions and strategies to improve the QOL for patients with MFS. METHODS: The participants fulfilled the Ghent 2 criteria for MFS and they comprised patients who visited the cardiology outpatient department of a tertiary hospital in Seoul, Korea, between August 17, 2013 and April 17, 2014. Demographic, social support, disease-related factors, biobehavioral factors, and QOL data were collected in one-on-one interviews. RESULTS: The final analyses included 218 patients. Anxious and depressed patients comprised 63.8 and 71.5 % of the sample, respectively. For the hypothetical model, the goodness-of-fit index = 0.91, normal fit index = 0.93, and comparative fit index = 0.90. The outcome was suitable for the recommended level, so the hypothetical model appeared to fit the data. In patients with MFS, the QOL was affected significantly by social support, disease-related factors, and biobehavioral factors. These variables explained 72.4 % of the QOL in patients with MFS. Biobehavioral factors had the strongest and most direct effects on QOL. CONCLUSION: To improve QOL in patients with MFS, comprehensive interventions are necessary to assess and manage biobehavioral factors, social support, and disease-related factors. BioMed Central 2016-06-02 /pmc/articles/PMC4890270/ /pubmed/27249938 http://dx.doi.org/10.1186/s12955-016-0488-5 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Moon, Ju Ryoung Cho, Yong Ae Huh, June Kang, I-Seok Kim, Duk-Kyung Structural equation modeling of the quality of life for patients with marfan syndrome |
title | Structural equation modeling of the quality of life for patients with marfan syndrome |
title_full | Structural equation modeling of the quality of life for patients with marfan syndrome |
title_fullStr | Structural equation modeling of the quality of life for patients with marfan syndrome |
title_full_unstemmed | Structural equation modeling of the quality of life for patients with marfan syndrome |
title_short | Structural equation modeling of the quality of life for patients with marfan syndrome |
title_sort | structural equation modeling of the quality of life for patients with marfan syndrome |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4890270/ https://www.ncbi.nlm.nih.gov/pubmed/27249938 http://dx.doi.org/10.1186/s12955-016-0488-5 |
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