Objective:To explore the influencing factors and logistic regression characteristics of cryptogenic stroke in patients with positive transcranial doppler bubble test(c-TCD).Methods:A total of 134 cases of cryptogenic ...Objective:To explore the influencing factors and logistic regression characteristics of cryptogenic stroke in patients with positive transcranial doppler bubble test(c-TCD).Methods:A total of 134 cases of cryptogenic stroke that were diagnosed by Tianshui First People's Hospital from November 2018 to April 2020 were selected according to the TOAST(Trial of ORG 10172 in Acute Stroke Treatment)classification criteria.According to c-TCD results,there were 70 cases of right to left shunt that were included in the positive group and 64 cases without right to left shunt in the negative group.Gender,age,smoking,diabetes,hypertension,and factors affecting the positive rate of foam were analyzed.According to the abnormal embolism scale scores,logistic regression equation was used to analyze the independent influencing factors.Results:The influencing factors of cryptogenic stroke in patients with positive c-TCD were correlated with age,gender,and abnormal embolism scale scores(p<0.05).For each grade increase in age,the proportion of positive foam test was calculated to be 3.21 times,and the proportion of female to male was calculated to be 2.25 times.For each grade increase in the scores,the proportion of positive foam test was calculated to be 2.55 times.Conclusion:Female,older age,and higher scores in the abnormal embolism scale are the influencing factors for cryptogenic stroke in patients with positive c-TCD.展开更多
On the first anniversary of the implementation of the new regulations of Beijing Municipality on the management of domestic waste,to understand residents’views on the waste classification policy,the project conducted...On the first anniversary of the implementation of the new regulations of Beijing Municipality on the management of domestic waste,to understand residents’views on the waste classification policy,the project conducted relevant investigation of the satisfaction of residents with the domestic waste classification policy in Daxing District of Beijing,China.Based on the analysis of the survey,this study uses the binary logistic regression model to explore the residents’satisfaction with the new domestic waste classification policy in Beijing and its influencing factors.The data from 398 valid questionnaires involve the demographic characteristics of residents,residents’cognition and views on Beijing municipal solid waste classification policy,and residents’satisfaction with Beijing domestic waste classification policy.The data show that the comprehensive satisfaction level of residents with the domestic waste classification policy in Beijing is quite high,up to 84.7%.Among them,the satisfaction level of residents with the details of the classification standards,the allocation of garbage cans,the publicity and supervision of the policy,incentive measures and the implementation process and effect of the policy is very high,exceeding 80%or even more than 90%.Through binary logistic regression analysis,we come to the conclusion that six factors significantly affect residents’satisfaction with Beijing municipal solid waste classification policy,such as residents’monthly income,household daily average domestic waste production,publicity of waste classification policy,supervisors’better understanding of waste classification standards,guidance of waste delivery by community classification supervisors,and convenience of waste classification process.展开更多
基金The research belongs to the stage result of a project(Project plan number:2021-SHFZKJK-5207).
文摘Objective:To explore the influencing factors and logistic regression characteristics of cryptogenic stroke in patients with positive transcranial doppler bubble test(c-TCD).Methods:A total of 134 cases of cryptogenic stroke that were diagnosed by Tianshui First People's Hospital from November 2018 to April 2020 were selected according to the TOAST(Trial of ORG 10172 in Acute Stroke Treatment)classification criteria.According to c-TCD results,there were 70 cases of right to left shunt that were included in the positive group and 64 cases without right to left shunt in the negative group.Gender,age,smoking,diabetes,hypertension,and factors affecting the positive rate of foam were analyzed.According to the abnormal embolism scale scores,logistic regression equation was used to analyze the independent influencing factors.Results:The influencing factors of cryptogenic stroke in patients with positive c-TCD were correlated with age,gender,and abnormal embolism scale scores(p<0.05).For each grade increase in age,the proportion of positive foam test was calculated to be 3.21 times,and the proportion of female to male was calculated to be 2.25 times.For each grade increase in the scores,the proportion of positive foam test was calculated to be 2.55 times.Conclusion:Female,older age,and higher scores in the abnormal embolism scale are the influencing factors for cryptogenic stroke in patients with positive c-TCD.
基金supported by the National College Students Innovation and Entrepreneurship Training Programs(CN)(Grant Nos.2021J00054&2019J00127)
文摘On the first anniversary of the implementation of the new regulations of Beijing Municipality on the management of domestic waste,to understand residents’views on the waste classification policy,the project conducted relevant investigation of the satisfaction of residents with the domestic waste classification policy in Daxing District of Beijing,China.Based on the analysis of the survey,this study uses the binary logistic regression model to explore the residents’satisfaction with the new domestic waste classification policy in Beijing and its influencing factors.The data from 398 valid questionnaires involve the demographic characteristics of residents,residents’cognition and views on Beijing municipal solid waste classification policy,and residents’satisfaction with Beijing domestic waste classification policy.The data show that the comprehensive satisfaction level of residents with the domestic waste classification policy in Beijing is quite high,up to 84.7%.Among them,the satisfaction level of residents with the details of the classification standards,the allocation of garbage cans,the publicity and supervision of the policy,incentive measures and the implementation process and effect of the policy is very high,exceeding 80%or even more than 90%.Through binary logistic regression analysis,we come to the conclusion that six factors significantly affect residents’satisfaction with Beijing municipal solid waste classification policy,such as residents’monthly income,household daily average domestic waste production,publicity of waste classification policy,supervisors’better understanding of waste classification standards,guidance of waste delivery by community classification supervisors,and convenience of waste classification process.
