Objective: To investigate the current status and trends of depressive symptoms among middle school and college students in Hunan Province, and to explore the primary related factors of depressive symptoms, so as to provide a scientific basis for strengthening mental health among students. Methods: A total of 279 382 students in Hunan Province were selected through a stratified cluster random sampling method from 2021 to 2023. National Survey Questionnaire on Common Diseases and Health Influencing Factors among Students was adopted for the survey, and the Center for Epidemiological Studies Depression Scale was used to assess their depressive symptoms. The χ 2 test and trend χ 2 test were used to analyze depressive symptoms prevalence and trends, and multivariable Logistic regression was used to analyze the related factors of depressive symptoms. Results: The prevalence of depressive symptoms among students in Hunan Province from 2021 to 2023 were 19.66%, 20.17% and 21.47%, respectively, showing an upward trend ( χ 2 trend =9.07, P <0.01). In addition, the results of the multivariable Logistic regression analysis showed that students with healthy diet ( OR=0.43, 95%CI =0.40-0.45), adequate sleep ( OR=0.88, 95%CI =0.86-0.90), and acceptable screen time ( OR=0.61, 95%CI =0.60-0.62) had lower risks in depressive symptoms detection, while students with smoking ( OR= 1.95, 95%CI =1.88-2.02), secondhand smoke exposure ( OR=1.33, 95%CI =1.30-1.36) and Internet addiction ( OR= 4.19 , 95%CI =4.05-4.34) had higher risks in depressive symptoms detection, with differences in the degree of association among different genders, educational stages and urban rural groups ( OR=0.40-6.04, Z =-12.69-11.98) ( P <0.05). Conclusions There is an increasing trend of depressive symptoms among middle school and college students in Hunan Province from 2021 to 2023.Targeted depression prevention measures should be taken for students with different demographic characteristics to promote their mental health.

Preclinical studies include pharmacology， toxicology， pharmacokinetics research of animal experiments and in vitro experiments， which are crucial steps in the pre-marketing drugs and medical products， and are essential for exploring the mechanisms of traditional Chinese Medicine （TCM） therapeutic mechanism and promoting clinical translation. Systematic reviews and meta-analyses of preclinical studies in the field of TCM can comprehensively integrate preclinical evidence， consolidate research findings， assess the quality and risk of bias of included studies， enhance the utilization of research results， reduce resource waste， and promote the iterative optimization of TCM research models and evaluation indicators. This article introduced the process and methodology of conducting systematic review and meta-analyses of preclinical studies in TCM from nine steps， defining the research question， forming a research team， writing and registering a study protocol， conducting a comprehensive search， screening literature， evaluating included studies， extracting data， synthesizing data （meta-analysis）， and reporting systematic reviews. It aims to provide methodological references for conducting systematic reviews and meta-analyses of preclinical studies in TCM and to promote the establishment and improvement of the evidence system in the field of TCM.

This paper explores the traditional Chinese medicine （TCM） pathomechanism， as well as pattern differentiation and treatments for sundowning syndrome in Alzheimer's disease through midnight-noon and ebb-flow theory. The syndrome's onset aligns with three critical time periods governed by three specific channels， including the bladder channel （3：00—5：00 pm， Shen period）， the kidney channel （5：00—7：00 pm， You period）， and the pericardium channel （7：00—9：00 pm， Xu period）. It is believed that when the symptoms occurred at the bladder channel （Shen period）， the pathomechanism manifested as yang qi floating upward and internal heat-blood stasis， and the treatment should supplement the kidney and essence， expelling stasis and discharging heat， as well as returning fire to its origin， using modified Taohe Chengqi Decoction （桃核承气汤） combined with Erzhi Pill （二至丸）. When the symptoms occurred at the kidney channel （You period）， the pathomechanism characterized by marrow sea deficiency and yin failing to anchor yang， so treatment follows the principles of supplementing the kidney and filling essence， as well as calming the mind and subduing yang， using modified Liuwei Dihuang Pill （六味地黄丸） combined with Erzhi Pill （二至丸）. When the symptoms occurred at the pericardium channel （Xu period）， the pathomechanism characterized as phlegm-turbidity clouding the mind and obstructing the brain， then the intervention need clear heat and dissolve phlegm， as well as open the orifices and calm the mind， using modified Wendan Decoction （温胆汤）. Additionally， comprehensive therapy combining oral administration of TCM decoctions with acupuncture， pressure pills on ear points， and point application therapy， which provides clinical insights for the treatment of this disease.

ObjectiveTo explore the regulatory effects and mechanisms of Astragali Radix polysaccharide （APS） on inhibitor of differentiation1 （ID1） and protein kinase B （Akt） in gastric cancer. MethodsImmunohistochemical staining was used to detect the expression of ID1 and Akt in 61 gastric cancer tissue samples and 20 adjacent normal gastric tissue samples. Immunofluorescence was used to detect the localization of ID1 and Akt. The effects of APS at the concentrations of 0.625， 1.25， 2.5， 5， 10， 20 mg·L^-1 on the proliferation of gastric cancer MGC-803 cells were examined by the cell counting kit-8（CCK-8） method and the colony formation assay. The target information of APS was retrieved from the Traditional Chinese Medicine Systems Pharmacology and Analysis Platform and Swiss Target Prediction. Keywords such as gastric cancer， gastric tumor， and stomach cancer were searched against GeneCards， UniProt， DisGeNET， and Online Mendelian Inheritance in Man （OMIM） for the screening of gastric cancer-related targets. The online tool jvenn was used to create the Venn diagram to identify the common targets， and STRING and Cytoscape were used to construct the protein-protein interaction network. Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analyses were conducted via R 4.2.2 to predict the potential roles of APS in the development of gastric cancer. The cell scratch assay was employed to assess the effect of APS on the migration of MGC-803 cells. The protein and mRNA levels of ID1 and Akt in the cells treated with APS were determined by Western blot and Real-time PCR， respectively. ResultsCompared with the adjacent normal gastric tissue， the gastric adenocarcinoma tissue showed increased positive expression of ID1 （χ² =81.00， P<0.01）. Immunofluorescence detection showed that ID1 and Akt were mainly located in the cytoplasm of gastric adenocarcinoma cells. Bioinformatics analysis identified 14 common genes shared between APS and gastric cancer. The average degree of protein-protein interaction network nodes was 14.29. GO and KEGG pathway enrichment results showed that ID1 and Akt were significantly enriched in the Rap1 and phosphatidylinositol-3-kinase （PI3K） /Akt signaling pathways. Cell experiments demonstrated that 5-fluorouracil （0.1 mg·L^-1） and APS （10， 20 mg·L^-1） groups showed decreased cell proliferation， migration， and colony formation. Compared with the control group， 10， 20 mg·L^-1 APS inhibited the proliferation of MGC-803 cells （P<0.01）， with 10 mg·L^-1 APS demonstrating stronger inhibitory effect. In addition， APS at 10， 20 mg·L^-1 inhibited the migration （P<0.01） and colony formation （P<0.05， P<0.01） of MGC-803 cells. Compared with the control group， APS at 10， 20 mg·L^-1 down-regulated the protein levels of ID1 （P<0.01） and Akt （P<0.05） and the mRNA levels of ID1 （P<0.05， P<0.01） and Akt （P<0.05， P<0.01） in MGC-803 cells. ConclusionID1 and Akt are highly expressed in the gastric adenocarcinoma tissue， which may be related to the development of gastric cancer. APS can down-regulate the protein and mRNA levels of ID1 and Akt to exert anti-tumor effects， which is expected to provide new therapeutic targets for gastric cancer treatment.

ObjectiveTo construct an intelligent model for literature screening， retrieval， and data extraction with a systematic review of coronary heart disease syndromes as an example， so as to improve the efficiency of evidence-based Chinese medicine research. MethodsBased on China National Knowledge Infrastructure （CNKI）， VIP and Wanfang Data Resource System， the articles related to coronary heart disease syndrome research published from January 1， 2000 to December 31， 2023 were retrieved. Automated tools were used to batch retrieve paper metadata. Using text similarity algorithms， papers were merged， deduplicated， and subjected to preliminary screening based on titles and abstracts. Further screening was performed using object detection and image processing technologies on the full texts and statistical tables. Natural language processing （NLP） techniques and pre-trained models were applied to extract information. ResultsThe initial search retrieved 56 255 coronary heart disease syndrome-related articles. By artificial intelligence-assisted preliminary and secondary screening， the manual verification scope was narrowed to 1075 articles. Ultimately， 646 coronary heart disease syndrome related studies were included manually. With accuracy verification showing over 90% consistency in semantic recognition and element decomposition processes， we achieved data extraction and standardization processing for both basic literature information and 38 syndrome element statistics. ConclusionBy incorporating natural language processing， pre-trained models， artificial intelligence image processing and other technologies， this study enabled efficient retrieval， screening and standardized data extraction of Chinese medicine research literature.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

ObjectiveTo analyze the characteristics and trends of injury-related deaths among the registered residents in Yuyao City, Zhejiang Province from 2014 to 2023, and to provide a scientific basis for the formulation of targeted injury prevention and control strategies. MethodsData on injury-related deaths in Yuyao City from January 1, 2014 to December 31, 2023 were collected from the cause-of-death surveillance module of the chronic disease monitoring and management system of Zhejiang Province. Indicators including constituent ratio, crude mortality rate (CMR), standardized mortality rate (SMR), premature death probability, potential years of life lost (PYLL), average years of life lost (AYLL), and potential years of life lost rate (PYLLR) were calculated. The average annual percentage change (AAPC) was used to analyze the trends in injury mortality over the past 10-year period. ResultsFrom 2014 to 2023, a total of 6 625 injury-related deaths were reported in Yuyao City, accounting for 10.65% of all deaths and ranking fourth among all causes. The CMR was 79.34/100 000 and showed an increasing trend (AAPC=4.396%, t=2.875, P=0.021), while the SMR was 38.99/100 000 with no significant trend (AAPC=-0.585%, t=-0.451, P=0.664). The SMR of females (37.74/100 000) was lower than that of males (40.87/100 000) (χ²=12.468, P<0.001). The top 5 causes of injury-related death were falls, traffic accidents, drowning, suicide, and accidental suffocation. Over the 10-year period, the SMRs for traffic accidents, drowning, and suicide showed downward trends (AAPC=-5.381%, t=-3.428, P=0.009; AAPC=-8.061%, t=-6.924, P<0.001; AAPC=-6.919%, t=-4.039, P=0.004, respectively), while the SMRs for falls and accidental suffocation showed no significant trends (AAPC=3.417%, t=1.767, P=0.115; AAPC=2.228%, t=0.803, P=0.445). Injury mortality increased with age for males, females, and the total population (all P<0.05). The leading causes of injury-related death were drowning among residents aged 0‒<15 years, traffic accidents among those aged 15‒<45 and 45‒<65 years, and falls among those aged 65‒<85 and 85‒110 years. The total PYLL due to injury was 58 708.00 person-years, the AYLL was 21.23 years, and the PYLLR was 7.36‰. ConclusionFrom 2014 to 2023, the crude mortality rate due to injuries in Yuyao City remained at a relatively high level, posing a serious threat to residents’ health and well-being. Falls, traffic accidents, drowning, suicide, and accidental suffocation are key targets for injury prevention and control work.

Objective: To analyze the epidemiological characteristics and changing trends of non suicidal self injury (NSSI) behaviors among middle school students in Jiading District of Shanghai, from 2015 to 2023, so as to provide a basis for the development of NSSI prevention and control measures among students. Methods: Using a stratified cluster random sampling method, a total of five times for Shanghai Adolescent Health Risk Behavior Surveys were conducted for every two years in Jiading District of Shanghai from 2015 to 2023. A total of 5 231 middle school students from junior high schools and senior high schools were selected for questionnaire surveys. Intergroup comparisons were performed using the x 2 test or the χ 2 trend test, and the JointPoint 5.0 software was used to analyze the changing trends, with the annual percent change (APC) used for evaluation. A binary Logistic regression model was employed to analyze the related factors of NSSI behavior among middle school students. Results: In 2023, the reported NSSI rate among middle school students in Jiading District was 14.2%. The rate was significantly higher among junior high school students (17.1%) than that among senior high school students (11.1%), and higher among females (19.2%) than that among males (10.0%) ( χ 2=10.04, 23.21, both P <0.01). From 2015 to 2023, the overall reported NSSI rate showed an increasing trend, rising from 8.6% in 2015 to 14.2% in 2023 ( χ 2 trend =22.25), with an APC of 6.64% ( t =3.49), and the APC for girls was 9.79 % ( t =3.20) (all P <0.05). Among students reporting NSSI, the proportion experiencing ≥6 episodes increased from 10.8% in 2015 to 19.2% in 2023 ( χ 2 trend =6.57, P <0.05). Multivariate Logistic regression analysis indicated that girls, junior high school students, those with insomnia, depressive emotion and drinkers had higher risks of NSSI, compared to boys, senior high school students, those without insomnia, non depressive emotion students and non drinkers ( OR =1.71, 1.96, 3.44, 4.76, 1.77, all P < 0.05 ). Conclusions The reported rate of NSSI among middle school students in Jiading District of Shanghai, increased annually from 2015 to 2023, and the proportion of repeated NSSI also showed an upward trend. Early intervention measures targeting middle school students, especially junior high school students and females, should be implemented to prevent and control its occurrence and development.

ObjectiveTo assess the level of health literacy and its influencing factors among middle school students aged 12‒18 years in Jing’an District, Shanghai, so as to provide a solid scientific foundation for further developing more targeted intervention measures. MethodsA stratified cluster random sampling method was used to randomly select 4 middle schools in Jing’an District, Shanghai from November to December 2023, and conducted a health literacy questionnaire survey on non-graduating middle and high school students, respectively. The2023 Survey on the Status of Health Literacy among Middle School Students in Jing’an District, Shanghai was adopted, which consisted of two parts: health literacy and basic information. Health literacy was divided into three dimensions: health knowledge and concept literacy, healthy lifestyle and behavior literacy, and health skill literacy. Three dimensions could be categorized into six types of health literacy issue: scientific health literacy, infectious disease prevention and control literacy, chronic disease prevention and control literacy, safety and first aid literacy, basic health literacy, and health information literacy. ResultsA total of 1 161 middle school students were enrolled into this study, including 571 males and 570 females. The overall health literacy level of middle school students was 33.51%, with 34.81% among middle school students and 31.69% among high school students, respectively. Results of logistic regression analysis showed that health knowledge acquisition and awareness, as well as application frequency of health knowledge, were the influencing factors for the overall health literacy level among middle school students (P<0.05). The degree of family attention to health maintenance, health knowledge acquisition and awareness, and application frequency of health knowledge were the main influencing factors for the three dimensions and literacy of six types of health issues among middle school students (P<0.05). ConclusionThe levels of different types of health literacy among middle school students in Jing’an District are uneven, with the highest being safety and first aid literacy and the lowest being basic health literacy. It is recommended to take targeted measures to comprehensively improve the health literacy level of middle school students.

Objective To investigate the prevalence status and influencing factors of metabolic syndrome (MS) in adult patients with hypopituitarism (HP) during hospitalization. Methods The data of adult HP patients who received treatment in the hospital were collected from March 2021 to March 2024. The prevalence status of MS in adult HP patients was counted, and logistic regression analysis was adopted to analyze the influencing factors of MS in adult HP patients. Results Among the 308 adult HP patients in this study, 121 cases developed MS and 187 cases did not develop MS, and they were included in the MS group (n=148) and the non-MS group (n=232). The incidence of MS in adult HP patients was 38.95% (148/380). Compared with the non-MS group, the levels of high-density lipoprotein cholesterol, serum total cholesterol and low-density lipoprotein cholesterol in the MS group were higher, the waist circumference was larger, and the growth hormone was lower (P<0.05). After logistic regression analysis, it was found that high-density lipoprotein cholesterol (OR=1.069, 95%CI: 1.010-1.132, P=0.021), total serum cholesterol (OR=1.065, 95%CI: 1.014-1.119, P=0.012), low-density lipoprotein cholesterol (OR=1.055, 95%CI: 1.005-1.108, P=0.031), waist circumference (OR=1.063, 95%CI: 1.006-1.123, P=0.030) and growth hormone (OR=1.077, 95%CI: 1.019-1.138, P=0.009) could independently affect the occurrence of MS in adult HP patients (P<0.05). Conclusion Adult HP patients during hospitalization are often complicated with MS. High-density lipoprotein cholesterol, serum total cholesterol, low-density lipoprotein cholesterol, waist circumference, and growth hormone are factors affecting the occurrence of MS in adult HP patients.