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.

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.

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.

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 performancebased comprehensive evaluation system.

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.

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.

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.

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.

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.

Microglial surveillance plays an essential role in clearing misfolded proteins such as amyloid-beta, tau, and α-synuclein aggregates in neurodegenerative diseases. However, due to the complex structure and ambiguous pathogenic species of the misfolded proteins, a universal approach to remove the misfolded proteins remains unavailable. Here, we found that a polyphenol, α-mangostin, reprogrammed metabolism in the disease-associated microglia through shifting glycolysis to oxidative phosphorylation, which holistically rejuvenated microglial surveillance capacity to enhance microglial phagocytosis and autophagy-mediated degradation of multiple misfolded proteins. Nanoformulation of α-mangostin efficiently delivered α-mangostin to microglia, relieved the reactive status and rejuvenated the misfolded-proteins clearance capacity of microglia, which thus impressively relieved the neuropathological changes in both Alzheimer's disease and Parkinson's disease model mice. These findings provide direct evidences for the concept of rejuvenating microglial surveillance of multiple misfolded proteins through metabolic reprogramming, and demonstrate nanoformulated α-mangostin as a potential and universal therapy against neurodegenerative diseases.