ABSTRACT
Objective:To construct a practical education training quality evaluation system that can monitor the entire training process for the master of public health, and to provide a basis for improving the public health education system.Methods:Based on the survey of the current status of the master of public health, combined with the literature survey, the focus group discussion and the expert forum, an evaluation system was established, and the weight coefficient of each index was determined by the analytic hierarchy process (AHP). All data were entered by Excel double-person, and matlabR2018a was used to calculate the weight, and determine the maximum characteristic root of the matrix, consistency index and consistency ratio.Results:The evaluation index system consisted of 7 first-level indicators and 24 second-level indicators. The average authority coefficient of 32 experts was 0.791. The top three items with the highest weight in the first-level indicators were mentor guidance (0.213), professional practice (0.157) and scientific research topics (0.149). The weight coefficient consistency ratio ( CR) was 0.040, showing that the consistency test passed ( CR<0.1). Conclusion:The educational quality evaluation system of the master of public health constructed by the institute is scientific, and the weight of the evaluation index reflects the focus of the postgraduate training process of the master of public health, which can provide a reference for improving the quality of public health professionals.
ABSTRACT
To discuss the latent variable growth curve model of longitudinal data and give its implementation method in Mplus.The application of Mplus software has been used to deal with the longitudinal data of mental health status of college students in an university.Results show that the model can process the longitudinal data with latent variables,which can compare the differences of the overall development trend and individual development,also taking a covariate into the model to improve the effect of model fitting.Using Mplus software to process the longitudinal data with latent variables,the program is simple and easy to operate.This study provides the latent variable growth curve model of longitudinal data and its procedure of implementation in Mplus,and the statistical methodology guidance and reference for practical applications of epidemiological cohort study.
ABSTRACT
To discuss the latent variable growth curve model of longitudinal data and give its implementation method in Mplus.The application of Mplus software has been used to deal with the longitudinal data of mental health status of college students in an university.Results show that the model can process the longitudinal data with latent variables,which can compare the differences of the overall development trend and individual development,also taking a covariate into the model to improve the effect of model fitting.Using Mplus software to process the longitudinal data with latent variables,the program is simple and easy to operate.This study provides the latent variable growth curve model of longitudinal data and its procedure of implementation in Mplus,and the statistical methodology guidance and reference for practical applications of epidemiological cohort study.
ABSTRACT
Objective To develop a observation table with influencing factors for catheter-associated urinary tract infections in critical patients and verify its reliability and validity. Methods Literature review, brainstorming method, expert interview and group discussion were performed to identify items of the form. By convenience sampling method, totally 130 severe patients with urinary catheter were investigated by this scale. This form was evaluated by item analysis, exploratory factor analysis and reliability and validity test. Results The observation table with influencing factors for Catheter-associated Urinary Tract Infections in critical patients consisted of five dimensions and 26 items. The cumulative contribution of variance was 73.752%, the Cronbach′s alpha coefficient was 0.869 and the Spearman-Brown split-half coefficient was 0.828. Regarding to the construct validity, the correlation coefficient between the each factor and total observation table was 0.652~0.873, the correlation coefficient between the factors was 0.311~0.823. All the difference of correlation coefficients were statistically significant (P<0.01). Conclusions The observation table with influencing factors for Catheter-associated Urinary Tract Infections in critical patients has been proved to be reliable and valid. It can be used as a valid tool to assess influencing factors for Catheter-associated Urinary Tract Infections in critical patients.
ABSTRACT
Objective To study the effect of ING5 gene on growth inhibition of gastric cancer. Methods ING5 expressing plasmid was transfect?ed into SGC?7901 cells. The cell viability was assessed by CCK?8,cell apoptosis and cycle was detected by flow cytometry analysis,the migration and invasion was evaluated by scratch and transwell,the expressions of mRNA and protein were determined by real?time quantitative PCR and West?ern blot respectively. Nude mice were implanted subcutaneously with SGC?7901 cells and tumor size and related protein were analyzed. Results After transfection of pEGFP?N1?ING5,the proliferation of gastric cancer SGC?7901 cells was significantly inhibited(P<0.05),the apoptosis was decreased(P<0.05),the percentage of G1 phase was increased and G2 phase was decreased(P<0.05),the ability of migration and invasion was reduced(P<0.05),the expression of NF?κB,PI3K,p?Akt1/2/3,Bcl?2,XIAP,β?catenin,c?myc mRNA,and protein levels were significantly in?creased(P<0.05),and the expression of Akt1/2/3、MMP9 mRNA and protein levels were significantly decreased(P<0.05). Conclusion The ING5gene inhibits the SGC?7901 cell proliferation,induces G1 arrest,inhibits the migration and invasion,and effectively regulates the related genes and proteins about cell proliferation,cell cycle and adhesion,but reduces apoptosis. ING5 can inhibit the evolution and development of gastric can?cer.
ABSTRACT
Objective To research the status of health literacy among a vocational high school in Guizhou province ,and provide the evidence for health education for the students in this school .Methods Independent design a health literacy questionnaire based on Chinese citizens′health literacy questionnaire in 2008 ,and random sampling 380 students from freshman to senior of this school to investigation in November ,2012 .Results 78 .35% of the students in this school had a basic health knowledge ,39 .57% students had a healthy lifestyle and behaviors ,and 66 .61% students had a sense of the basic literacy skills .The difference was statistically significant among the three items(F=651 .710 ,P0 .05) ,meanwhile ,there was no difference in health quotient on household registration and gender students .With the increase of school age ,student health literacy level was reduced ,the difference was statistically significant (F=3 .657 ,P<0 .05) .Conclusion The health literacy of lifestyle and behavior of students in this school is poor .Education should be targeted to develop healthy habits .As for the junior and senior students ,the school should enhance the health education intensity to improve the health literacy .
ABSTRACT
We mainly introduce the design of teaching objectives,teaching content,teaching strategies and teaching effect evaluation for the elective course of SPSS and statistical data processing and summarize and reflect on the implementation after teaching combined with the practical teaching of medical statistics.
ABSTRACT
The paper introduces and summarizes the teaching purpose and content project,implementation and effect of the optional course in Excel and medical data analysis.
ABSTRACT
This is a research carried out to explore a pragmatic way of BCI based imaging movement, i. e. to extract the feature of EEG for reflecting different thinking by searching suitable methods of signal extraction and recognition algorithm processing, to boost the recognition rate of communication for BCI system, and finally to establish a substantial theory and experimental support for BCI application. In this paper, different mental tasks for imaging left-right hands movement from 6 subjects were studied in three different time sections (hint keying at 2s, 1s and 0s after appearance of arrow). Then we used wavelet analysis and Feed-forward Back-propagation Neural Network (BP-NN) method for processing and analyzing the experimental data of off-line. Delay time delta t2, delta t1 and delta t0 for all subjects in the three different time sections were analyzed. There was significant difference between delta to and delta t2 or delta t1 (P<0.05), but no significant difference was noted between delta t2 and delta t1 (P>0.05). The average results of recognition rate were 65%, 86.67% and 72%, respectively. There were obviously different features for imaging left-right hands movement about 0.5-1s before actual movement; these features displayed significant difference. We got higher recognition rate of communication under the hint keying at about 1s after the appearance of arrow. These showed the feasibility of using the feature signals extracted from the project as the external control signals for BCI system, and demon strated that the project provided new ideas and methods for feature extraction and classification of mental tasks for BCI.
Subject(s)
Humans , Algorithms , Brain , Physiology , Electroencephalography , Methods , Evoked Potentials, Motor , Physiology , Hand , Physiology , Movement , Physiology , Neural Networks, Computer , Pattern Recognition, Physiological , Signal Processing, Computer-Assisted , Thinking , Physiology , User-Computer InterfaceABSTRACT
Objective To investigate the related risk factors for stroke among residents aged over 26 years old in communities in Chongqing,to set up a quantitative criteria for determining risk for stroke,and to evaluate and predict the risk of the stroke for individuals.Methods 1 034 cases with 1:2 matched controls were chosen from five communities in Chongqing,which were interviewed with a uniform questionnaire.The risk factors of stroke were analyzed with Logistic regression,collected the odds ratios of risk factors for stroke,and different levels of risk exposure factors be converted into a risk scores by using statistical models.The related risk scores were added to obtain a combined risk score to predict the individual's risk of stoke in the future.Results An individual health risk appraisal model of stroke applicable to individuals of different sex,age,health behavior,disease and family history was established.For men,11 risk factors,including hypertension(5.728),coronary heart disease(5.404),family history of stroke(4.599),and so on,were entered the main effect model;for women,hypertension(5.270),family history of stroke(4.866),hyperlipidemia(4.346),and other eight risk factors entered the main effect model.Conclusion Personal diseases,including hypertension,CHD and hyperlipidemia,etc.,are very important risk factors for stoke.The stroke prevalence can be effectively reduced by changing the unhealthy lifestyle and curing the related individual diseases.The evaluation model of the risk score for stroke based on the main risk factors could be useful in the future health education and community health service on stroke prevention.