1.Influence of awareness on the behaviors of Chinese adults with diabetes mellitus
Qiaomeng REN ; Limin WANG ; Danlu PENG ; Yan GUO
Journal of Peking University(Health Sciences) 2017;49(3):451-454
Objective: To explore the influence of awareness on the behaviors of Chinese adults with diabetes mellitus, so as to provide scientific evidence for developing relevant policies and strategies in the prevention and control of diabetes.Methods: Data from the 2013 China Chronic Disease Risk Factor Surveillance were used, covering 297 surveillance counties (districts).The variables involved in this cross-sectional study included: the prevalence of diabetes, the awareness situation, demographic characteristics, behaviors, and other information.The study used descriptive analysis to analyze diabetes status and chi-square test to determine the difference in the distribution of behaviors between patients who were aware of their disease and those who were not.Logistic analysis was performed to examine the influence of diabetes awareness on patients' behaviors with adjustment for potential confounders.Results: A total of 175 670 subjects were involved.The prevalence of self-reported diabetes in China in 2013 was 3.9%, while the awareness rate was 38.6%.The percentage of current smokers or current drinkers among the patients who were aware of their disease (20.2%, 25.0%) was less than that among the patients who were not aware (25.8%, 35.0%).The proportion of those who often exercised among the patients who were aware of their disease (83.4%) was higher than that among the patients who were not aware (79.0%).There was slightly higher proportion of the subjects who had insufficient intake of vegetables and fruits or over intake of red meat among the patients who were aware of their disease (49.4%, 28.0%) than that among the patients who were not aware (48.4%, 26.1%).After controlling urban and rural areas, regions, age, gender, nationality, marital status, educational level, occupation, and income factors, the possibility of current smoking (OR=0.79) or drinking (OR=0.58) among the patients who were aware of their disease was lower than among those who were not;the possibility of more than 150-minute physical activity per week (OR=1.30) among the patients who were aware of their disease was higher than among those who were not.Conclusion: The awareness rate of diabetes in China still remains low.Kno-wing whether they have diabetes or not has an effect on individual choice of behaviors, including smoking, drinking and physical activities.Therefore, health education and health examination for diabetes should be further expanded with wide cooperation from all relevant departments, thus forming an integrated environment involving individuals, health systems and socioeconomic policies to prevent and control diabetes.
2.Optimal scaling regression analysis for impact factors of SCI papers output
Danlu ZHANG ; Ce ZHANG ; Peng JIANG
Chinese Journal of Medical Science Research Management 2018;31(6):465-469
Objective To analyze the SCI papers output and its impact factors of a hospital during 2013-2017,to provide supports and proofs for scientific research administrators to update incentive policies for stimulate growth of SCI Paper publication.Methods Dynamic sequence and Optimal Scaling Regression methods were used to conduct statistical analysis of the output and impact factors of hospital-published SCI papers.Results The average increased number per year of hospital-published SCI papers output was 30.3 with an annual increase rate of 37.5%,which was 9.5% higher than the national average.In 2017,the growth rate of a fixed base of hospital-published SCI papers was increased to 257.4 %,which was 89% higher than the national rate during the same period.The model was statistically significant (F =10.513,P< 0.001,adjusted R2 =0.409) according to the Optimal Scaling Regression analysis of 180 first/corresponding authors out of 516 SCI papers.We found that authors' status as tutor of post-graduate student (P<0.001),average project fundings (P=0.001),professional titles (P=0.048) and genders (P=0.005) have significant impacts on the output of hospital-published SCI papers (P<0.05).The sum of the importance of the four factors above was 0.961,namely account for 96.1% of the whole model.The quantitative score conversion chart shows that doctoral tutors,high average project funding,senior professional titles,and male authors of the SCI papers have higher quantitative scores.Conclusions Tutor status,average project fundings,professional titles and genders could impact the output of SCI papers.Scientific research administrators could adjust incentive policies of SCI papers,based on the science platform construction inclining to doctor tutors,adding matching funds for science and research,bonding professional title appraisals and rising incentives for female researchers on SCI papers,to promote SCI papers output.
3.Hierarchical clustering analysis application in research performance appraisal of university affiliated hospital
Danlu ZHANG ; Ziye ZHOU ; Ce ZHANG ; Peng JIANG
Chinese Journal of Medical Science Research Management 2019;32(4):250-254
Objective The research aims to optimize the hospital research performance appraisal ,clarify the scientific characteristics and possible shortages of different clinic departments in various types ,to enhance the effectiveness of research performance appraisal .Methods Descriptive statistics were used to generalize hospital research performance appraisal in 2017 . Hierarchical clustering was used to cluster and analyze performance appraisal characteristics of 75 clinic departments .Results SCI papers (405) ,National projects (181) and National core journal papers (106) took 75 .2% of total average score .The op-timal solution of the cluster was 6 types for 75 departments and the dendrogram illustrated significant varieties among the 6 types .Six departments' types were academic-conference-oriented ,national-paper-oriented ,SCI-paper-oriented ,advanced-pro-ject-oriented ,provincial/horizontal-project-oriented and attending-conference-oriented .The percentages of the oriented indica-tors that took their total average scores were 59 .4% ,42 .0% ,66 .7% ,57 .0% ,61 .8% ,52 .3% .Conclusions Compared with K-means method ,the results of hierarchical clustering equipped with better characteristics and interpretative power .Research performance appraisal has been further optimized .Departments in different types showed significant characteristics and weak-nesses ,which provides managers with effective guidance on countermeasures .