Structural equation modeling of the quality of life for patients with marfan syndrome

• Published in: Health and quality of life outcomes Vol. 14; no. 1; p. 83
• Main Authors: Moon, Ju Ryoung, Cho, Yong Ae, Huh, June, Kang, I-Seok, Kim, Duk-Kyung
• Format: Journal Article
• Language: English
• Published: London BioMed Central 02.06.2016
• Subjects: Adult; Aged; Demography; Female; Health; Health Behavior; Humans; Male; Marfan Syndrome - psychology; Medicine; Medicine & Public Health; Middle Aged; Models, Theoretical; Quality of Life; Quality of Life Research; Republic of Korea; Risk Factors; Social Support; Marfan Syndrome; Body Image; Korean Version; Hypothetical Model; Social Support
• ISSN: 1477-7525; 1477-7525
• DOI: 10.1186/s12955-016-0488-5

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.