ABSTRACT
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.
ABSTRACT
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.
ABSTRACT
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 .
ABSTRACT
Objective To understand the epidemiological characteristics of injury in college students in north jiangsu area ,a‐nalysis its related factors .Methods With the method of random cluster sampling ,1 857 students as the research object .Using self‐made questionnaire survey ,choose Chinese college students′ mental health scale (CCSM HS ) and Chinese perceived stress scale (CPSS) to investigate the mental health status of the research object .Results In 1 857 students ,639 students had more than once hurt ,harm the annual incidence of 34 .41% ;Incidence rate of injury was highest in junior college student(38 .94% ) ,lowest in gradu‐ate student(31 .75% ) .The highest constituent ratio of hurt types was fall/collision injury(34 .64% ) ,and lower extremity injuries was the main injured area .Education ,age ,ranking in the home ,parents′marital status ,students and their parents′physical condi‐tion ,the relationship with the students ,and the roommate to the occurrence of friction ,go out to work ,as well as the psychological stress test ,10 factors of college students′psychological scale ,10 factors oftotal pressure and tension factor were influencing factors of injury .Conclusion Damage and mental health problems is closely related .Safety education ,psychological education and interven‐tion should be carried out in order to effectively prevent and reduce the incidence of injury .
ABSTRACT
Objective To evaluate the effectiveness of psychological health intervention in the elderly urban residents living on minimum subsistence allowances, and to search for a suitable psychological health intervention strategy. Methods The 112 elderly persons living on minimum subsistence allowances in Xuzhou were selected by stratified cluster sampling, and they were matched with 112 controls. The elderly persons living on minimum subsistence allowances were divided into intervention group and control group. A general intervention based on community involved psychological health and care lecture, psychodrama treatment and psychological consultancy was made on the intervention. The SCL-90 was used to evaluate the psychological health status and effectiveness of psychological health intervention. Results The elderly persons living on minimum subsistence allowances had higher SCL-90 scores compared with other residents, and their psychological health status was serious. After the psychological health intervention, the SCL-90 scores were all lower in intervention group than in control group [ interpersonal relationship sensitiveness: (1.13 ± 0. 39) vs.(1.26±0.26), t=2.12, P=0.04; gloom: (1.23±0.66) vs. (1.43±0.24), t=2.08, P=0.04;anxiety: (1. 18±0.50) vs. (1.38±0.34), t=2.17, P=0.03; hostility: (1.24±0.49) vs. (1.40±0.28), t=2.03, P=0.04; other factor: (1. 31±0.56) vs. (1.49±0.31), t=2.04, P=0.04; total score: (115.89± 17.21) vs. (122.64± 10.41), t=2.42, P=0.02]. Conclusions The psychological health parameters are improved by psychological health intervention.