Objective:The paper is designed to reveal differences in stroke patients'hospitalization costs crea-ted by different socioeconomic factors , health insurance and occupational background , and analyze those differences on health outcome .Methods:18879 cases of hospitalized patients with stroke in five tertiary hospitals from four prov-inces from 2011 to 2014 were included in the database .Descriptive statistics was used to describe patients'hospitali-zation costs and health outcome .Multiple linear regression model and logistic regression were used to evaluate the im-pact of insurance and occupation .Results:After controlling for patients'social characteristics , health risks , premise during hospitalization process and clinical characteristics of patients with free healthcare costs , the socialized medi-cine was charged 19.7% higher than the private ones ( P <0.001 ), the retired people and civil servants were charged 4.2%(P<0.001) and 2.9%(P=0.049) more than farmers.The socialized medicine was also associated with health outcome.The risk of death in patients with free medical care is (OR=4.901) compared with private pa-tients (95%CI 1.652~14.537), and the retired people had increased risk of death compared with farmers (OR=2 .145 , 95%CI 1 .287 ~3 .573 ) .Conclusions: Due to the impact of social background factors , some groups are found to have a higher level of expenses than their counterparts during hospitalization , but the more hospitalization costs are not spent the better the health outcome of stroke was achieved .

Objective: To investigate the association between the combination of different health-related behaviors and the risk of stroke in people with hypertension. Methods: The data in this study were obtained from the China National Stroke Screening Survey (CNSSS). The case group was the people with hypertension who were also diagnosed as the first-ever stroke cases (total stroke and ischemic stroke) during 2013-2014 screening period. Their corresponding controls (1∶3 frequency-matched for age group and urban/rural ratio) were randomly selected from individuals with hypertension without stroke. The information on demographic data, stroke history, influence factors and health-related behaviors (non-smoking, normal body mass index maintenance and physical activity) was obtained using standardized face-to-face questionnaires. Univariate analysis included t-test and Chi-square test. Multivariate analysis included unconditional logistic regression. Results: There were 603 total stroke cases (1 909 controls) and 536 ischemic stroke cases (1 608 controls) in men with hypertension, and 600 total stroke cases (1 800 controls) and 534 ischemic stroke cases (1 602 controls) in women with hypertension. We found that women with three health-related behaviors had lower risk of total stroke (OR=0.29, 95%CI: 0.11-0.79) and ischemic stroke (OR=0.28, 95%CI: 0.10-0.77). Only the combination of non-smoking and physical activity was significantly associated with the decreased risk of total stroke (OR=0.30, 95%CI: 0.11-0.78) and ischemic stroke (OR=0.32, 95%CI: 0.12-0.87). We had not found significant association between the combination of different health-related behaviors and risk of total stroke and ischemic stroke (P>0.05) in men. Conclusion This study indicated that health-related behavior intervention might be more effectively to prevent stroke in women with hypertension, especially the smoking control and physical activity.

Objective: To explore gender-specific factors and their contributions to ischemic stroke among atrial fibrillation (AF) patients. Methods: A case-control study was conducted. The relevant data were obtained from the database of China National Stroke Screening Survey. The cases were first-ever ischemic stroke cases diagnosed from September 2013 to September 2015. Frequency-matched for the age and distribution of city and country, controls were randomly selected by 1∶3 ratio from individuals with AF but without stroke in the program. Altogether, there were 85 male cases (320 controls) and 147 female cases (484 controls). Unconditional logistic regression model was applied for the analysis of relevant factors of the onset of ischemic stroke, and their population-attributable risk proportion [PARP, (95%CI)] was calculated. Results: The age of male subjects in the case group and control group were (65.26±11.20) and (64.83±11.08) years old, and that of females in two groups were (63.63±10.40) and (63.93±10.35) years old. According to the PARP (95%CI), relevant factors of the onset of ischemic stroke in a descending sequence were hypertension history [35.63 (18.64−47.73)], family history of stroke [28.70 (23.63−32.30)]and physical inactivity [15.73 [5.62−23.06)] among male AF patients, and family history of stroke (29.39 (24.21−33.08)), dyslipidemia (22.17 (2.26−36.45)) and smoking [2.09 (0.76−3.24)] among female AF patients. Conclusion The relevant factors of ischemic stroke were different between male and female AF patients.