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Abstract
The aims were to identify the possible influencing factors of health-related quality of life (HRQoL) and its domain-specific scores in patients with coronary heart disease (CHD). A total of 1247 patients with CHD from the Henan Rural Cohort Study (n = 39,259) were included in this study. The Chinese version of the European Quality of Life Five Dimension Five level scale (EQ-5D-5L) and Visual Analogue Scale (VAS) were used to evaluate HRQoL in patients with CHD. Tobit regression, generalized linear models and binary logistic regression were applied to determine the potential factors influencing the EQ-5D utility, as well as each domain, and the VAS. CHD patients had lower per capita monthly actual income, and higher rates of diabetes mellitus, stroke, anxiety and poor sleep quality, which significantly decreased EQ-5D index and VAS scores. In addition, sex, older age, education, not having a spouse, ever drinking alcohol, a high-fat diet, physical activity, hypertension and depression affected the various domain-specific EQ-5D scores in CHD patients. CHD patients in rural areas have a lower HRQoL. Factors associated with the EQ-5D index, including each domain, and the VAS need attention. CHD patients in rural areas need to be managed systematically.
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1 Zhengzhou University, School of Nursing and Health, Zhengzhou, People’s Republic of China (GRID:grid.207374.5) (ISNI:0000 0001 2189 3846); Zhengzhou University, Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou, People’s Republic of China (GRID:grid.207374.5) (ISNI:0000 0001 2189 3846); The People’s Hospital of Hebi, Hebi, People’s Republic of China (GRID:grid.207374.5)
2 Xinxiang Medical University, School of Public Health, Xinxiang, People’s Republic of China (GRID:grid.412990.7) (ISNI:0000 0004 1808 322X); Tianjin Medical University, School of Public Health, Tianjin, People’s Republic of China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228); Henan Province General Medical Educations and Research Center, Xinxiang, People’s Republic of China (GRID:grid.265021.2)
3 The People’s Hospital of Hebi, Hebi, People’s Republic of China (GRID:grid.265021.2)
4 Zhengzhou University, Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou, People’s Republic of China (GRID:grid.207374.5) (ISNI:0000 0001 2189 3846)
5 Zhengzhou University, School of Nursing and Health, Zhengzhou, People’s Republic of China (GRID:grid.207374.5) (ISNI:0000 0001 2189 3846)
6 The People’s Hospital of Hebi, Hebi, People’s Republic of China (GRID:grid.207374.5); Hebi Neuroanatomical Laboratory, Department of Neurosurgery of Hebi People’s Hospital, Hebi, People’s Republic of China (GRID:grid.207374.5)