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Profile and Correlates of Health-related Quality of Life in Chinese Patients with Coronary Heart Disease

BACKGROUND: Although coronary heart disease (CHD) is one of the major cardiovascular diseases, risk factors associated with the health-related quality of life (HRQoL) of CHD patients remain unclear. The present study was designed to determine the profile and significant factors of the HRQoL in CHD p...

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Detalles Bibliográficos
Autores principales: Wang, Ling, Wu, Yi-Qun, Tang, Xun, Li, Na, He, Liu, Cao, Yang, Chen, Da-Fang, Hu, Yong-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4717935/
https://www.ncbi.nlm.nih.gov/pubmed/26168822
http://dx.doi.org/10.4103/0366-6999.160486
Descripción
Sumario:BACKGROUND: Although coronary heart disease (CHD) is one of the major cardiovascular diseases, risk factors associated with the health-related quality of life (HRQoL) of CHD patients remain unclear. The present study was designed to determine the profile and significant factors of the HRQoL in CHD patients. METHODS: A cross-sectional study was conducted in rural communities of Fangshan District, Beijing, China. Socio-demographic, lifestyle, and comorbidity information of CHD patients were collected by a structured questionnaire and medical records. HRQoL was measured using European Quality of Life 5-dimensions (EQ-5D) scale and EQ Visual Analog Scale (EQ-VAS). Multiple linear and logistic regressions were performed to explore the association of potential risk factors with HRQoL scores and each EQ-5D, respectively. RESULTS: Totally, 1928 CHD patients (mean age 61.64 ± 9.24 years; female:male = 2.4:1) were enrolled in the study. The mean score of EQ-5D index and EQ-VAS were 0.889 ± 0.172 and 71.56 ± 17.65, respectively. Multiple linear regression revealed that marital status, physical activity, moderate alcohol drinking, and family's population were positive independent correlates of EQ-VAS, whereas diabetes mellitus and stroke were negative independent correlates (all P < 0.05). Age and stroke were negatively while physical activity, moderate alcohol drinking, family's population and household income were positively correlated with EQ-5D index (all P < 0.05) independently. In addition, each of the five HRQoL dimensions had various specific determinants, including obesity, underweight, smoking or education. CONCLUSIONS: Findings of the study highlight certain socio-demographic, lifestyle factors, and comorbid stroke or diabetes mellitus as correlates of HRQoL in Chinese CHD patients. Large-scale cohort studies should be carried out to confirm our results in the future.