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Objective:To investigate the prevalence and risk factors of stroke in Xuzhou city.Methods:A total of 41 932 residents aged 18 years and above were selected using the multi-stage stratified cluster sampling method. A questionnaire survey was conducted to investigate the rate of stroke, and a physical examination was performed to investigate height, weight, blood pressure, etc. Univariate analyses of stroke were performed using the Chi square test and trend chi-square test. Logistic regression analysis was performed for multi-factor analysis.Results:A total of 39 854 participants (19 222 males, 10 323 from urban areas) from 41 932 eligible participants were included in the statistical analysis, and their average age was (52.1±16.8). In this study, 885 stroke patients (464 males, 302 from urban areas) were found among 39 854 participants. The prevalence of stroke was 2 220.61/100 000, which was separately 2 413.90/100 000 and 2 040.52/100 000 among males and females. The difference between males and females was significant (χ2=6.22, P=0.013). The prevalence of stroke in urban areas (2 925.51/100 000) was higher than in rural areas (1 974.20/100 000) (χ2 =31.45, P<0.001). The results of univariate analysis revealed that the risk factors for stroke were [ OR(95% CI)] smoking [1.82(1.53-2.08)], drinking [1.22(1.08-1.81)], sleep quality [1.42(1.13-1.96)], physical activities [1.44(1.11-2.14)], hypertension [3.53(2.44-6.02)], heart disease [1.23(1.11-1.75)], diabetes [1.42(1.31-2.05)], family history of hypertension [1.43(1.30-2.37)], family history of diabetes [1.22(1.10-1.65)], and family history of stroke [1.57(1.46-2.06)]. Logistic regression analysis showed that age [3.02(2.14-4.96)], smoking [1.59(1.12-3.85)], poor sleep quality [1.15(1.03-3.23)], lack of physical activity [1.22(1.08-3.38)], hypertension [4.53(3.07-7.36)], diabetes [1.08(1.02-3.23)], and family history of stroke [1.15(1.08-3.31)] were related to stroke. Conclusion:The epidemic of stroke in Xuzhou city was relatively high, and prevention and control measures of stroke should be taken according to the risk factors of stroke in the population distribution.
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Objective To survey the anxiety status of university students in Xuzhou city ,and to analyze its influence factors to propose the effective improvement strategy .Methods The stratified cluster random sampling method was adopted to conduct the questionnaire survey on 1931 college students from 2 colleges in Xuzhou City .The statistical analysis was performed by using SPSS 16 .0 .Results The average score of anxiety in college students was (42 .23 ± 9 .70) points ,the total detection rate was 21 .4% .The main influencing factors of anxiety included the home ranking ,character ,specialty ,school record ,getting scholarship ,plan to partici-pate in graduate entrance examination ,employment prospect ,sleep quality ,physical condition ,relationship with classmates and ro-ommates ,love status ,work-study programs or go out to work situation ,family type ,communication with parents ,family income . Conclusion The anxiety status of college students in Xuzhou City is in middle level .So improving the college students′anxiety sta-tus needs the joint efforts of school ,family and students themselves .
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Objective To explore the relationship between poor sleep quality and stoke.Methods A total of 738 stroke patients in Xuzhou city in 2013 were selected as the case group and age-and sex-matched healthy non-stroke subjects (n =738)as control group.The writer-designed general situation questionnaire and the Pittsburgh Sleep Quality Index(PSQI)analyses were conducted for a face-to-face investigation.Results No significant difference in mean age(66.1±10.9 and 65.8 ± 10.6,t =0.60,P =0.58)and in sex (50％ vs.50 ％) was found between two groups.There were statistically significant differences between case and control groups in baseline values of BMI(t=2.40,P =0.02),histories of hypertension(x2 =174.30,P =0.00),diabetes mellitus (x2 =27.20,P =0.00),coronary heart disease(x2 =115.60,P =0.00),smoking(x2 =6.10,P =0.01),drinking (x2 =7.30,P =0.01)and living stress(x2 =11.40,P =0.01).The PSQI sub-scores and PSQI total scores were higher in case group than in control group.The rate of poor sleep quality was higher in case group(279 cases,37.8 ％) than in control group(136 cases,18.4 ％) (x2 =6.10,P =0.01).Multivariate logistic analysis showed that,after adjusting for confounding factors of BMI,histories of hypertension,diabetes,coronary heart disease.smoking,drinking and living stress,the poor sleep quality in total male plus female was independent predictor variables for stroke[odds ratio(95 ％ CI) of 2.3 (1.8-3.0)],no matter their sex,with odds ratio (95 ％ CI) in male (2.5,1.7-3.7) or in female (2.2,1.5-3.2),respectively,but there was no significance difference in the odds ratio between male and female in case group(x2 =0.04,P=0.85).The risk stroke was 2.3 folds higher in poor sleep quality versus control in male plus female,with pure male or female of 2.5 or 2.2 folds.There was no significance difference between male and female in case group versus.the control(x2 =0.04,P=0.85).Conclusions Poor sleep quality is associated with the occurrence of stroke and may be a risk factor for stroke.
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Objective To explore the interaction of smoking and diabetes on stroke.Methods In this case-control study,a face to face questionnaire survey was conducted.Logistic regression models were used to analyze the relationship between smoking or diabetes and stroke.The indicators of interaction were calculated according to the Bootstrap method in this study.Results A total of 918 cases and 918 healthy controls,who participated in the chronic disease risk factor survey in Xuzhou in 2013,were included in this study.Logistic regression analysis found that cigarette smoking was associated with stroke (OR=1.63,95％ CI:1.33-2.00),and diabetes was also associated with stroke (OR=2.75,95％CI:2.03-3.73) after adjusting confounders.Compared with those without diabetes and smoking habit,the odds ratio of stroke in those with diabetes and smoking habits was 8.94 (95％CI:3.77-21.19).Diabetes and smoking combined interaction index was 3.65 (95％CI:1.68-7.94),the relative excess risk was 5.77 (95％ CI:0.49-11.04),the attributable proportion was 0.65 (95％ CI:0.42-0.87).Conclusion The results suggest that there are additive interactions between smoking and diabetes on stroke.
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Objective To explore the interaction of smoking and diabetes on stroke.Methods In this case-control study,a face to face questionnaire survey was conducted.Logistic regression models were used to analyze the relationship between smoking or diabetes and stroke.The indicators of interaction were calculated according to the Bootstrap method in this study.Results A total of 918 cases and 918 healthy controls,who participated in the chronic disease risk factor survey in Xuzhou in 2013,were included in this study.Logistic regression analysis found that cigarette smoking was associated with stroke (OR=1.63,95％ CI:1.33-2.00),and diabetes was also associated with stroke (OR=2.75,95％CI:2.03-3.73) after adjusting confounders.Compared with those without diabetes and smoking habit,the odds ratio of stroke in those with diabetes and smoking habits was 8.94 (95％CI:3.77-21.19).Diabetes and smoking combined interaction index was 3.65 (95％CI:1.68-7.94),the relative excess risk was 5.77 (95％ CI:0.49-11.04),the attributable proportion was 0.65 (95％ CI:0.42-0.87).Conclusion The results suggest that there are additive interactions between smoking and diabetes on stroke.
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Objective To explore the interaction of sleep quality and depression among patients with type 2 diabetes. Methods With multistage cluster sampling, all the participants were interviewed with self-designed questionnaire, diabetes-specific quality of life scale and self-rating depression scale, and Pittsburgh sleep quality index scale. Chi-square test was used for qualitative data. Risk factors were analyzed by means of multiple linear regression or logistic regression model. The indicator of interaction was calculated according to the delta method. Results There were 944 residents involved in the final analysis, including 365 males and 579 females. The average age was (64. 0 ± 10. 2) years. Compared with patients with type 2 diabetes mellitus( T2DM) who had good sleep quality and no depression symptoms, the risk of quality of life in those with good sleep quality but depression was 2. 75 (95% CI 1. 59-4. 77); and the risk of quality of life in those with poor sleep quality and no depression was 1. 55(95%CI 1. 03-2. 33). The risk of quality of life in those with poor sleep quality and depression was 4. 97(95% CI 2. 34-9. 63). Due to poor sleep quality and depression in patients with T2DM the combined interaction index was 2. 48 (95% CI 1. 44-4. 29), the relative excess risk was 3. 42(95% CI 2. 16-4. 67), and the attributable proportion was 0. 51(95% CI 0. 32-0. 70). Conclusion A combined interaction of poor sleep quality and depression in affecting the quality of life was found in type 2 diabetic patients. When both factors existed at the same time, the interaction effect of these 2 factors was greater than the single one.