Clinical and Sociodemographic Factors Associated With Health-Related Quality of Life in Patients With Adult Congenital Heart Disease　― A Nationwide Cross-Sectional Multicenter Study

• Published in: Circulation Journal Vol. 88; no. 1; pp. 62 - 70
• Main Authors: Tatebe, Shunsuke, Yasuda, Satoshi, Konno, Ryo, Sakata, Yasuhiko, Sugimura, Koichiro, Satoh, Kimio, Shiroto, Takashi, Miyata, Satoshi, Adachi, Osamu, Kimura, Masato, Mizuno, Yoshiko, Enomoto, Junko, Tateno, Shigeru, Nakajima, Hiromichi, Oyama, Kotaro, Saiki, Yoshikatsu, Shimokawa, Hiroaki
• Format: Journal Article
• Language: English
• Published: Japan The Japanese Circulation Society 25.12.2023
• Subjects: 36-Item Short-Form Health Survey (SF-36); Adult; Adult congenital heart disease; Cross-Sectional Studies; Health-related quality of life; Heart Defects, Congenital; Humans; Japan; Physical activity; Prospective Studies; Quality of Life; Sociodemographic factor; Sociodemographic Factors; Surveys and Questionnaires; Japan; Health-related quality of life; Physical activity; Sociodemographic factor; 36-Item Short-Form Health Survey (SF-36); Adult congenital heart disease
• ISSN: 1346-9843; 1347-4820; 1347-4820
• DOI: 10.1253/circj.CJ-23-0383

Background: Little is known about clinical or sociodemographic factors that influence health-related quality of life (HRQoL) in patients with adult congenital heart disease (ACHD).Methods and Results: We conducted a nationwide prospective cross-sectional multicenter study at 4 large ACHD centers in Japan. From November 2016 to June 2018, we enrolled 1,223 ACHD patients; 1,025 patients had an HRQoL score. Patients completed a questionnaire survey, including sociodemographic characteristics, and the 36-Item Short-Form Health Survey (SF-36). To determine factors associated with HRQoL, correlations between 2 SF-36 summary scores (i.e., physical component score [PCS] and mental component score [MCS]) and other clinical or sociodemographic variables were examined using linear regression analysis. In multivariable analysis, poorer PCS was significantly associated with 11 variables, including older age, higher New York Heart Association class, previous cerebral infarction, being unemployed, and limited participation in physical education classes and sports clubs. Poorer MCS was associated with congenital heart disease of great complexity, being part of a non-sports club, current smoking, and social drinking. Student status and a higher number of family members were positively correlated with MCS.Conclusions: This study demonstrates that HRQoL in ACHD patients is associated with various clinical and sociodemographic factors. Further studies are needed to clarify whether some of these factors could be targets for future intervention programs to improve HRQoL outcomes.