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1.
Front Public Health ; 10: 810185, 2022.
Article in English | MEDLINE | ID: mdl-35450122

ABSTRACT

Background: Stroke is a major health threat and the leading cause of mortality and disability in China. The aims of this study were to identify the possible influencing factors of health-related quality of life (HRQoL) and its domain-specific contents in stroke patients in rural areas in China. Methods: A total of 1,709 stroke patients aged 36-79 years from the baseline data of Henan Rural Cohort study (n = 39,259) were included in the cross-sectional study. The Chinese version of the European Quality of Life Five Dimension (including mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) Five Level Scale (EQ-5D-5L) and visual analog scale (VAS) were used to evaluate HRQoL in stroke patients. Tobit regression models, generalized linear models and binary logistic regression models were constructed to determine potential influencing factors of the EQ-5D utility index, as well as influencing factors of each domain and VAS score. Results: The mean utility index and VAS scores of stroke patients were 0.885 (SD, 0.204), and 68.39 (SD, 17.31), respectively. Pain/discomfort (PD, 35.2%) and mobility (MO, 30.4%) were the most frequently reported issues. Regression models revealed that illiterate; a low monthly income; low physical activity intensity; and diabetes, anxiety, depression, or poor sleep quality were significantly associated with lower utility index and VAS scores among stroke patients. In addition, patients with stroke who were older, female, drinking, smoking, and consuming a high-fat diet, had a higher BMI, and lived with a stroke for a longer time, were also significantly associated with different dimensions of the EQ-5D. Conclusion: Patients with stroke in rural areas in China had a low HRQoL. Factors associated with the EQ-5D utility index as well as each domain and VAS score, need to be considered by health providers in rural areas. Patients with stroke in rural areas need to be included in national basic public medical services and managed systematically by medical institutions.


Subject(s)
Quality of Life , Stroke , China/epidemiology , Cohort Studies , Cross-Sectional Studies , Female , Humans , Pain , Stroke/epidemiology , Survivors
2.
Sci Rep ; 11(1): 5011, 2021 03 03.
Article in English | MEDLINE | ID: mdl-33658589

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.


Subject(s)
Anxiety/psychology , Coronary Disease/psychology , Diabetes Mellitus/psychology , Quality of Life/psychology , Sleep Initiation and Maintenance Disorders/psychology , Stroke/psychology , Adult , Age Factors , Aged , Alcohol Drinking/physiopathology , Anxiety/complications , Anxiety/physiopathology , China , Coronary Disease/complications , Coronary Disease/physiopathology , Cross-Sectional Studies , Depression/physiopathology , Diabetes Complications , Diabetes Mellitus/physiopathology , Diet, High-Fat/psychology , Diet, High-Fat/statistics & numerical data , Educational Status , Female , Humans , Hypertension/physiopathology , Male , Middle Aged , Risk Factors , Rural Population , Sex Factors , Sleep Initiation and Maintenance Disorders/complications , Sleep Initiation and Maintenance Disorders/physiopathology , Stroke/complications , Stroke/physiopathology , Surveys and Questionnaires , Visual Analog Scale
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