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.

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.

Background: Chronic obstructive pulmonary disease (COPD) and asthma have a high prevalence and disease burden. Blended self-management interventions, which combine eHealth with face-to-face interventions, can help reduce the disease burden. Objective: This systematic review and meta-analysis aims to examine the effectiveness of blended self-management interventions on health-related effectiveness and process outcomes for people with COPD or asthma. Methods: PubMed, Web of Science, COCHRANE Library, Emcare, and Embase were searched in December 2018 and updated in November 2020. Study quality was assessed using the Cochrane risk of bias (ROB) 2 tool and the Grading of Recommendations, Assessment, Development, and Evaluation. Results: A total of 15 COPD and 7 asthma randomized controlled trials were included in this study. The meta-analysis of COPD studies found that the blended intervention showed a small improvement in exercise capacity (standardized mean difference [SMD] 0.48; 95% CI 0.10-0.85) and a significant improvement in the quality of life (QoL; SMD 0.81; 95% CI 0.11-1.51). Blended intervention also reduced the admission rate (relative ratio [RR] 0.61; 95% CI 0.38-0.97). In the COPD systematic review, regarding the exacerbation frequency, both studies found that the intervention reduced exacerbation frequency (RR 0.38; 95% CI 0.26-0.56). A large effect was found on BMI (d=0.81; 95% CI 0.25-1.34); however, the effect was inconclusive because only 1 study was included. Regarding medication adherence, 2 of 3 studies found a moderate effect (d=0.73; 95% CI 0.50-0.96), and 1 study reported a mixed effect. Regarding self-management ability, 1 study reported a large effect (d=1.15; 95% CI 0.66-1.62), and no effect was reported in that study. No effect was found on other process outcomes. The meta-analysis of asthma studies found that blended intervention had a small improvement in lung function (SMD 0.40; 95% CI 0.18-0.62) and QoL (SMD 0.36; 95% CI 0.21-0.50) and a moderate improvement in asthma control (SMD 0.67; 95% CI 0.40-0.93). A large effect was found on BMI (d=1.42; 95% CI 0.28-2.42) and exercise capacity (d=1.50; 95% CI 0.35-2.50); however, 1 study was included per outcome. There was no effect on other outcomes. Furthermore, the majority of the 22 studies showed some concerns about the ROB, and the quality of evidence varied. Conclusions: In patients with COPD, the blended self-management interventions had mixed effects on health-related outcomes, with the strongest evidence found for exercise capacity, QoL, and admission rate. Furthermore, the review suggested that the interventions resulted in small effects on lung function and QoL and a moderate effect on asthma control in patients with asthma. There is some evidence for the effectiveness of blended self-management interventions for patients with COPD and asthma; however, more research is needed. Trial Registration: PROSPERO International Prospective Register of Systematic Reviews CRD42019119894; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=119894

Purpose: To investigate the prevalence of multidimensional frailty in older people with hypertension and to examine a possible relationship of general obesity and abdominal obesity to frailty in older people with hypertension. Patients and Methods: A sample of 995 community-dwelling older people with hypertension, aged 65 years and older and living in Zhengzhou (China), completed the Tilburg Frailty Indicator (TFI), a validated self-report questionnaire for assessing multidimensional frailty. In addition, socio-demographic and lifestyle characteristics were assessed by self-report, and obesity was determined by measuring waist circumference and calculating the body mass index. Results: The prevalence of multidimensional frailty in this older population with hypertension was 46.5%. Using multiple linear regression analysis, body mass index was significantly associated with physical frailty (p = 0.001), and waist circumference was significantly positively associated with multidimensional frailty and all three frailty domains. Older age was positively associated with multidimensional frailty, physical frailty, and psychological frailty, while gender (woman) was positively associated with multidimensional, psychological, and social frailty. Furthermore, comorbid diseases and being without a partner were positively associated with multidimensional, physical, psychological, and social frailty. Of the lifestyle characteristics, drinking alcohol was positively associated with frailty domains. Conclusion: Multidimensional frailty was highly prevalent among Chinese community-dwelling older people with hypertension. Abdominal obesity could be a concern in physical frailty, psychological frailty, and social frailty, while general obesity was concerning in relation to physical frailty.

Objective: To describe the Physical Activity and Exercise (PAE) adherence of stroke survivors in rural regions, additionally, to analyze the influential factors through age stratification. Methods: This is a cross-sectional study. Totally, 596 stroke patients (65.70± 10.76 years) from three rural regions were selected, PAE scale was used for measuring compliance. The influential factors among different age groups were explored separately. This study adheres to the EQUATOR checklist, SROBE. Results: Only 17.8% (106) of participants regularly participated in PAE. Altogether, 42.45% were classified as a young-middle age group, and the rest 57.55% were in the old age group. Positive attitudes and better PAE-relevant knowledge were protective factors for adherence in the young and middle-aged group (OR=0.683; 95% CI 0.173~0.588 and OR=0.939; 95% CI 0.013~0.114), as well as in the old group (OR=0.704; 95% CI 0.193~0.534 and OR=0.929; 95% CI 0.035~0.118); having no home rehabilitation equipment was a strong risk factor for younger patients (OR=16.078; 95% CI 1.235~4.320); however, without hemiplegia can positively affect their adherence (OR=0.891; 95% CI 0.045~0.229). In addition, the presence of a spouse can lead to a better compliance among old patients (OR=0.436; 95% CI − 0.496~-0.165). Conclusion: It is necessary to improve the knowledge of physical activity in rural stroke patients of all ages. It is of great significance to install home rehabilitation equipment to promote exercise for young and middle-aged stroke patients. While for the old stroke patients, we strongly suggest focusing on the role of spouses, which would be more useful in low-income regions.