1.Influencing factors of chronic dyslipidemia in T2DM patients with diabetes point system management in Qingpu District,Shanghai
Zhouli WU ; Sen WANG ; Jie CHEN ; Zhihua REN ; Kaiyou YE ; Yueqin JIANG ; Ya WU
Journal of Public Health and Preventive Medicine 2025;36(2):56-60
Objective To understand the influencing factors of chronic dyslipidemia in T2DM patients who signed a contract for diabetes point system management in Qingpu District, and to provide a basis for comprehensive intervention and prevention and control of dyslipidemia in T2DM patients and to optimize the management strategy of Qingpu District diabetes point system. Methods Among the T2DM patients who signed the diabetes point system from 2017 to 2023, patients with chronic dyslipidemia and normal blood lipids were selected and included in the case group and the control group, respectively. A case-control study was conducted with 1:1 matching by age and gender to analyze the factors influencing dyslipidemia. Results Multifactorial paired logistic regression analysis showed that overweight/obesity and central obesity and smoking in T2DM patients increased the risk of dyslipidemia by 1.93, 2.27, and 2.16 times, respectively. Long-term use of lipid-lowering drugs, duration of diabetes for 5 years or more, regular physical exercise, knowledge of blood lipid status, and married status could reduce the risk of dyslipidemia in T2DM patients (OR values were 0.547, 0.452, 0.685, 0.386 and 0.354, respectively). Current complications (history of stroke, coronary heart disease, and renal insufficiency) were also associated with dyslipidemia (OR=1.802, 95% CI:1.125-2.888). Conclusion The management of diabetes point system in Qingpu District should strengthen the feedback and interpretation of blood lipid monitoring results, improve patients’ health awareness of blood lipid management, and actively take comprehensive management of lifestyle intervention and drug treatment to effectively control blood lipid and reduce the occurrence of related complications.
2.Association of physical exercise willingness and insomnia with depressive symptoms among college students
YIN Wenlong, CHAI Yehong, CHENG Tianbao, JIANG Zhihua, SUN Xiaolong, ZHANG Yi, WAN Yuhui
Chinese Journal of School Health 2025;46(8):1147-1150
Objective:
To understand the association of physical exercise willingness and insomnia with depressive symptoms among college students, so as to provide reference for improving depressive symptoms of college students.
Methods:
From October 2022 to April 2023, cluster sampling was used to recruit 11 101 college students from four colleges in Anhui Province. The questionnaire survey was conducted to investigate the willingness to engage in physical exercise, insomnia and depressive symptoms of college students. The multivariate Logistic regression model was used to analyze the association of physical exercise willingness and insomnia with depressive symptoms of college students.
Results:
The prevalence of depressive symptoms among college students was 9.24%. Multivariate Logistic regression analysis showed that college students who were passive participants/non participants in physical activity, or who experienced insomnia, had a higher likelihood of depressive symptoms compared to those who were active participants or did not experience insomnia ( OR =1.84, 2.07, 4.02, all P <0.01). College students who were passive participants or non participants in physical activity and concurrently experienced insomnia had a higher risk of depressive symptoms compared with those who were active participants or did not experience insomnia ( OR =1.87-8.39, all P <0.01). Gender stratified analysis showed that the combined effect of passive physical exercise and insomnia increased the risk of depressive symptoms in both male ( OR = 1.81 -9.87) and female college students ( OR =1.67-7.39) (all P <0.05).
Conclusions
Both physical exercise willingness and insomnia are associated with depressive symptoms in college students. In order to improve the depressive symptoms of college students, it is necessary to improve the enthusiasm of physical exercise and strengthen the education of sleep health awareness.
3.Research progress on adolescent health literacy assessment tools
ZHOU Qingyuan, YIN Zhihua, JIANG Jiajun
Chinese Journal of School Health 2025;46(9):1355-1360
Abstract
Adolescent health literacy constitutes a fundamental, economical and effective strategy for addressing their health issues and fostering healthy behaviors, while assessing health literacy plays a pivotal role in evaluating adolescents health literacy. The study systematically reviews existing adolescent health literacy assessment tools at both domestically and internationally, and analyzes them through three dimensions:structural components, applicability and scientific validity. It further examines emerging trends in the development of such tools, aiming to offer theoretical underpinnings and practical recommendations for their refinement, thereby more effectively addressing the evolving health needs of adolescents.
4.Interpretation and mirror of the National Health Education Standards in the United States
LIU Haohui, WAN Xue, YIN Zhihua, JIANG Jiajun, LI Yunan
Chinese Journal of School Health 2024;45(3):309-312
Abstract
In the context of frequent public health events, effective school health education is an important measure to improve students health literacy and public health system of China. The study examined the National Health Education Standards in the U.S., based on a literature review and comparative analysis, to provide guidance for China. Using the method of liberature riview paper interprets the curriculum of National Health Education Standards in the U.S. and provides a mirror for China. Health Education standards in the U.S. are characterized by their academic quality, standardized framework, assessment program, equity principles, and other components. A mirror for China includes promoting the construction of the standards based health education curriculum, developing the skills based health education curriculum system, and constructing a performancebased comprehensive evaluation system.
5.Progress of research on brain breaks in cultural classrooms to promote students physical activity levels
JIANG Jiajun, YIN Mingyue, LIU Haohui, SONG Jian, NIU Xiao, YIN Zhihua
Chinese Journal of School Health 2024;45(4):595-598
Abstract
Brain Breaks is a physical activity program that combines cultural classroom based physical activity with modern technology while providing children with multi level guidance. As an intervention for intermittent sedentary activities, Brain Breaks can improve students physical activity level, thereby improving their physical fitness and positively affecting their motivation to participate in physical activities and positive learning behaviors. The paper understands this intervention from the connotation, implementation basis, and application effect of Brain Breaks, and then proposes practical application suggestions and future research directions.When Brain Breaks in the cultural classroom is promoted and practiced in China in the future, attention should be paid to the means of implementation by the teachers, the selection of representative target groups, and the precise implementation plan.At the research level, the effects of motor skills, special group interventions, gender differences, environmental changes, and physiological mechanisms of the Brain Breaks are to be explored.
6.Interpretation and implication of the U.S. health education curriculum analysis tool
JIANG Jiajun, YIN Zhihua, LIU Haohui, ZHOU Mei
Chinese Journal of School Health 2024;45(11):1526-1530
Abstract
To develop a health education curriculum model with Chinese characteristics, literature method and comparative analysis method are used to interpret the U.S. health education curriculum analysis tool (HECAT). HECAT consists of an access component, a design component and an implementation component, which is able to provide a clear and complete analysis of health education curricula, and assists localities in selecting or developing health education curricula. HECAT is characterized by diversified participating entities, structured analysis content, scientific indicator establishment, and systematic practice process. Based on the experience of developing HECAT and building a systematic health education model in the United States, structured thinking to promote the analysis of health education courses, emphasizing the systematic and scientific development of health education courses and establishing an open system for promoting school health education should be applied in China.
7.Construction and verification of prognostic classification model for elderly cancer patients in rural areas based on machine learning algorithm
Li CHANG ; Zhihua YANG ; Jiang ZHAO ; Qin YUE ; Honghong SHEN ; Chunxiu FAN ; Juan XIE
Chinese Journal of Practical Nursing 2024;40(21):1661-1670
Objective:The classification model of prognosis of elderly cancer patients in rural areas of Shaanxi province was constructed based on machine learning algorithm, and its effectiveness was verified, providing reference for early prognosis recognition and intervention treatment.Methods:Using a multicenter, cross-sectional survey method and convenience sampling method, 597 elderly cancer patients in rural areas hospitalized in 9 different medical institutions (Shaanxi Cancer Hospital and its member units of specialty alliance) in Shaanxi Province from July to August 2022 were selected as the research objects, and a variable database of "basic information", "self-care ability", "symptoms", "comprehensive needs" and "quality of life" of elderly cancer patients in rural areas was established. Machine learning and statistical analysis were carried out to explore the important prognostic characteristics of elderly cancer patients in rural areas, and a prognostic classification model for elderly cancer patients in rural areas was constructed and verified.Results:The 597 valid questionnaires were ultimately collected.Among the 597 elderly cancer patients in rural areas, 207 were males and 390 were females, aged (69.56 ± 8.84) years. The results of cluster exploration showed that the prognosis of elderly cancer patients in rural areas was divided into three categories: good, medium and poor. The areas under the working characteristic curves of the subjects in good, medium and poor were 0.84, 0.79 and 0.69, respectively. The results of characteristic exploration showed that 10 indicators of "whether accompanied by metastasis", "distress", "sadness", "numbness", "eating", "walking", "fatigue", "forgetfulness", "fun of life" and "relationship with others" were important characteristic indicators of prognosis evaluation of elderly cancer patients in rural areas. There were statistically significant differences among the 10 important characteristic indicators in the three categories of prognosis of rural elderly cancer patients ( χ2=21.07, H values were 18.51-144.38, all P<0.01). There were statistically significant differences in the three categories of "comprehensive needs", "quality of life", "self-care ability" and "symptoms" ( H values were 519.40, 40.80, 103.69, all P<0.01). Conclusions:The construction and verification of a prognostic classification model for elderly cancer patients in rural areas based on machine learning algorithm can effectively explore the important characteristic indicators and prognostic classification of elderly cancer patients in rural areas, and provide basis and guidance for clinical medical staff to make individualized plans.
8.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
9.Knowledge,attitude and practice of transitional care in nurses of 41 hospitals in Shaanxi province:a cluster analysis of current status
Gaiping CHENG ; Zhihua YANG ; Jiang ZHAO ; Qin YUE ; Honghong SHEN ; Chunxiu FAN ; Juan XIE
Modern Clinical Nursing 2024;23(4):15-23
Objective To investigate current status in knowledge,attitude and practice(KAP)of transitional care among the nurses in Shaanxi province,identify the influencing factors that hinder the transitional care and carry out training of transitional care for the nurses in different specialties in order to provide a theoretical basis for establishing a transitional care model for discharged patients.Methods A total of 2 288 nurses were selected to participate the survey from 41 hospitals in Shaanxi province by the stratified two-stage random sampling method.A self-designed questionnaire for general information,an obstacle factor scale,and a KAP of transitional care questionnaire were used as the survey instruments.The data acquired from the survey were processed by Cluster analysis to identify potential categories and the influencing factors.Results Totally 2085 nurses finished the study.Total score of KAP of transitional care among the nurses in Shaanxi province was found at(134.96±23.75),which was at a medium level.The scores of knowledge,attitude and practice were 77.24%,80.64%and 76.98%respectively.Cluster analysis showed that all the nurses could be categorised into either a lower scored group(n=1 596,76.5%)or a higher scored group(489,23.5%),with a best potential category number of 2 for the 2 085 nurses who participated the survey.There were statistically significant differences between the groups in terms of care training,telephone follow-up,network platform,outpatient service of nursing experts,family visits,patient club and hospital categories(all P<0.05).Logistic regression analysis on even factors above showed that care training,telephone follow-up,network platform and patient club could significantly affect the potential categorisation of KAP of the nurses in transitional care(all P<0.05).The main factors that hindered the transitional care included insufficient human resources(93.81%),insufficient supply of community services(93.57%)and lack of a standardised flowchart for transitional care(93.09%).Conclusions Levels of KAP about the transitional care are at a medium level among the nurses of 41 hospitals in Shaanxi province,which indicates that the nurses are active in attitude,but the knowledge and practice are required to be further improved and standardised.The results of cluster analysis indicate that it is necessary for nursing managers to carry out targeted trainings in transitional care for the nurses in different categories.This study provides a theoretical basis to establish a diversified transitional care mode for discharged patients in Shaanxi province.
10.Influencing factors of textbook outcomes in liver surgery after radical resection of gallbladder carcinoma: a national multicenter study
Zhipeng LIU ; Xuelei LI ; Haisu DAI ; Weiyue CHEN ; Yuhan XIA ; Wei WANG ; Xianghao YE ; Zhihua LONG ; Yi ZHU ; Fan HUANG ; Chao YU ; Zhaoping WU ; Jinxue ZHOU ; Dong ZHANG ; Rui DING ; Wei CHEN ; Kecan LIN ; Yao CHENG ; Ping YUE ; Yunfeng LI ; Tian YANG ; Jie BAI ; Yan JIANG ; Wei GUO ; Dalong YIN ; Zhiyu CHEN
Chinese Journal of Digestive Surgery 2023;22(7):866-872
Objective:To investigate the influencing factors of textbook outcomes in liver surgery (TOLS) after radical resection of gallbladder carcinoma.Methods:The retrospective case-control study was conducted. The clinicopathological data of 530 patients who underwent radical resection of gallbladder carcinoma in 15 medical centers, including the First Affiliated Hospital of Army Medical University et al, from January 2014 to January 2020 were collected. There were 209 males and 321 females, aged (61±10)years. Patients underwent radical resection of gallbladder carcinoma, including cholecystectomy, hepatectomy, invasive bile duct resection, and lymph node dissection. Observation indicators: (1) situations of TOLS; (2) influencing factors of TOLS. Measure-ment data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the Mann-Whitney U test. The univariate analysis was conducted using the corresponding statistical methods based on data type, and variables with P<0.10 were included in multivariate analysis. Multivariate analysis was conducted using the Logistic stepwise regression model. Results:(1) Situations of TOLS. All 530 patients underwent radical resection of gallbladder carcinoma, and there were 498 cases achieving R 0 resection, 508 cases without ≥grade 2 intra-operative adverse events, 456 cases without postoperative grade B and grade C biliary leakage, 513 cases without postoperative grade B and grade C liver failure, 395 cases without severe com-plications within postoperative 90 days, 501 cases did not being re-admission caused by severe com-plications within postoperative 90 days. Of the 530 patients, 54.53%(289/530) of patients achieved postoperative TOLS, while 45.47%(241/530) of patients did not achieve postoperative TOLS. (2) Influencing factors of TOLS. Results of multivariate analysis showed that American Society of Anesthesiologists classification >grade Ⅱ, preoperative jaundice, T staging as T3?T4 stage, N staging as N2 stage, liver resection as right hemi-hepatectomy, and neoadjuvant therapy were independent factors influencing TOLS in patients undergoing radical resection of gallbladder carcinoma ( odds ratio=2.65, 1.87, 5.67, 5.65, 2.55, 3.34, 95% confidence interval as 1.22?5.72, 1.18?2.95, 2.51?12.82, 2.83?11.27, 1.41?4.63, 1.88?5.92, P<0.05). Conclusion:American Society of Anesthesiologists classification >grade Ⅱ, preoperative jaundice, T staging as T3?T4 stage, N staging as N2 stage, liver resection as right hemi-hepatectomy, and neoadjuvant therapy are independent factors influencing TOLS in patients undergoing radical resection of gallbladder carcinoma.


Result Analysis
Print
Save
E-mail