Depression and anxiety are the two most common mental disorders, which have severe negative impacts on individuals and society. Early and accurate identification of these disorders is crucial for symptom control and positive prognosis. Traditional identification approaches such as scale screening and interviews rely on patients' self-reporting and the comprehensive judgment of psychiatrists. These methods inherently have limitations such as subjectivity and dependence on the availability and convenience of medical resources. Therefore, seeking objective means to assist in the identification of depression and anxiety disorders has become a research focus in recent years. Electroencephalogram (EEG), which describes changes in potential difference on the scalp surface, offers advantages such as objectivity, quantification and high temporal resolution. EEG has become one of the potential objective indicators for identifying depression and anxiety disorders.Machine learning algorithms are key technologies for extracting EEG signal features and improving identification accuracy. The combination of EEG collection and machine learning algorithms is expected to become a new method for identifying depression and anxiety disorders. In addition, portable EEG collection provides the possibility for rapid identification of mental disorders and large-scale screening activities. This article reviews the application of EEG for depression and anxiety disorders identification, providing a reference for scholars in related fields, with the aim of promoting the development of mental disorder identification towards objectivity and visualization in China.

Depression and anxiety are the two most common mental disorders, which have severe negative impacts on individuals and society. Early and accurate identification of these disorders is crucial for symptom control and positive prognosis. Traditional identification approaches such as scale screening and interviews rely on patients' self-reporting and the comprehensive judgment of psychiatrists. These methods inherently have limitations such as subjectivity and dependence on the availability and convenience of medical resources. Therefore, seeking objective means to assist in the identification of depression and anxiety disorders has become a research focus in recent years. Electroencephalogram (EEG), which describes changes in potential difference on the scalp surface, offers advantages such as objectivity, quantification and high temporal resolution. EEG has become one of the potential objective indicators for identifying depression and anxiety disorders.Machine learning algorithms are key technologies for extracting EEG signal features and improving identification accuracy. The combination of EEG collection and machine learning algorithms is expected to become a new method for identifying depression and anxiety disorders. In addition, portable EEG collection provides the possibility for rapid identification of mental disorders and large-scale screening activities. This article reviews the application of EEG for depression and anxiety disorders identification, providing a reference for scholars in related fields, with the aim of promoting the development of mental disorder identification towards objectivity and visualization in China.

Nursing practice is an important component of the healthcare service system and plays a crucial role in achieving the strategic goal of"Healthy China Initiative".Facing the growing health needs and increasingly complex health issues,the concept of Population Medicine,which aims to maximize the overall and long-term health benefits of the population,is expected to provide new theoretical foundations for the nursing practice in China.Integrating the concept of Population Medicine into nursing practice can give full play to the professional value of nursing workers,improve nursing quality,and promote the construction of Healthy China.This review summarized the development of the concept of Population Medicine,its specific connotation and its application in the field of nursing practice,and relevant suggestions are put forward,providing references for scholars to deepen the integration and application of Population Medicine in nursing practice and promote the development of nursing in China.

Nursing practice is an important component of the healthcare service system and plays a crucial role in achieving the strategic goal of"Healthy China Initiative".Facing the growing health needs and increasingly complex health issues,the concept of Population Medicine,which aims to maximize the overall and long-term health benefits of the population,is expected to provide new theoretical foundations for the nursing practice in China.Integrating the concept of Population Medicine into nursing practice can give full play to the professional value of nursing workers,improve nursing quality,and promote the construction of Healthy China.This review summarized the development of the concept of Population Medicine,its specific connotation and its application in the field of nursing practice,and relevant suggestions are put forward,providing references for scholars to deepen the integration and application of Population Medicine in nursing practice and promote the development of nursing in China.

Aluminum adjuvants (Alum), approved by the US Food and Drug Administration, have been extensively used in vaccines containing recombinant antigens, subunits of pathogens, or toxins for almost a century. While Alums typically elicit strong humoral immune responses, their ability to induce cellular and mucosal immunity is limited. As an alternative, layered double hydroxide (LDH), a widely used antacid, has emerged as a novel class of potent nano-aluminum adjuvants (NanoAlum), demonstrating advantageous physicochemical properties, biocompatibility and adjuvanticity in both humoral and cellular immune responses. In this review, we summarize and compare the advantages and disadvantages of Alum and NanoAlum in these properties and their performance as adjuvants. Moreover, we propose the key features for ideal adjuvants and demonstrate that LDH NanoAlum is a promising candidate by summarizing its current progress in immunotherapeutic cancer treatments. Finally, we conclude the review by offering our integrated perspectives about the remaining challenges and future directions for NanoAlum's application in preclinical/clinical settings.

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.

The method of acupuncture combined with rehabilitation training in the treatment of shoulder hand syndrome after stroke is reliablet, quick, with simple operation and less adverse reactions. Among them, characteristic acupuncture could focus on the targeted points with obvious effect than ordinary acupuncture, and the combination with rehabilitation training could greatly improve the curative effect. However, there still exist some problems in the current research, such as the difficulty of conducting blind clinical trials of acupuncture therapy; the lack of follow-up data in the evaluation of curative effect, the uncertainty of long-term curative effect; the small sample size of clinical research, etc., so multi-centered and large sample RCT research are still needed.

Objective:To investigate the prevalence of pre-diabetes mellitus (PDM) and the impact of occupation-related factors on PDM, among workers from a steel company in Tangshan city, Hebei province.Methods:Clustering sampling method was used to select a steel company and to carry out occupational health-related physical checkup programs for eligible workers who had working in this company for longer than one year. The study began in February and ended up in June, 2017. Workers who were with FPG level as ≤6.9 mmol/L, and free from diabetes, were selected as the subjects for this study. Questionnaires were used and physical examinations and FPG testing conducted.Results:The total number of subjects in this study was 4 173, of which 2 648 appeared as pre-diabetic, with the prevalence rate as 63.4 %. Increase of the PDM prevalence was in parallel with the length of service, among the workers. The risk for the pre-diabetes in those who worked more than 8 hours per day was 1.696 times higher than those who worked less than or equal to 8 h/d (95 %CI:1.517-1.937). Compared with those workers without exposures to heat, noise or carbon monoxides, the proportion of pre-diabetes appeared higher in workers exposed to heat, noise or CO with OR=1.782 (95 %CI: 1.205-2.636), 1.815 (95 %CI: 1.209-2.794) and 1.653 (95 %CI: 1.158-2.361), respectively. Risks for those who were exposed to heat or noise were higher than those who were free from exposure to any occupational hazards ( OR=2.098, 95 %CI: 1.296-3.397). Prevalence rates of pre-diabetes in those who were exposed to heat, noise or CO, were higher than that those who were not. Conclusion:Working hours and exposures to heat, noise or CO appeared as influential factors on PDM.

Objective:To investigate the effect of occupational factor exposures on carotid atherosclerosis (CAS) in steel workers.Methods:A frequency matched case-control study was conducted by age and factory proportion. A total of 1 033 workers with carotid atherosclerosis diagnosed by ultrasonography examination from February to June 2017 were selected as case group, and 1 033 workers without carotid atherosclerosis indicated by physical examination at the same time were selected as control group. The basic information of the workers, such as diet pattern, lifestyle, serum biochemical index and occupation history, were collected. The effects of occupational hazards on carotid atherosclerosis were analyzed by univariate and multivariate logistic regression analyses. The combined effects of various occupational hazards on carotid atherosclerosis were evaluated by environmental risk score (ERS).Results:High temperature, noise, occupational stress and night shift days increased the risk of CAS. With the increase of cumulative high temperature and noise exposure, occupational stress and night shift days, the risk of CAS increased (trend text: χ2=37.53, P<0.01; χ2=16.98, P<0.01; χ2=13.93, P<0.01; χ2=5.59, P<0.05). After adjustment of covariates, compared with P 20 group, the risk of carotid artery in P 40, P 60, P 80 and P 100 groups were as follows: high temperature 1.61 (1.19-2.18), 1.69 (1.25-2.30), 1.84 (1.36-2.49), 2.43 (1.77-3.34); noise 1.70 (1.15-2.52), 1.68 (1.20-2.35), 1.80 (1.34-2.42), 2.23 (1.53-3.26); occupational stress 1.39 (1.04- 1.86), 1.41 (1.06-1.89), 1.45(1.09-1.95), 1.48 (1.10-1.98); night shift days 1.58 (1.08-2.33), 1.66 (1.12-2.47), 1.55 (1.04-2.31), 1.76 (1.17-2.64). The results of the environmental risk score showed that the risk of carotid atherosclerosis increased with the increase of ERS (ERS trend text χ2=51.61, P<0.01); RCS results showed that there was a linear relationship between ERS and CAS in steel workers( P<0.01). Linear dose-response relationship existed between ERS and CAS (nonlinear test P>0.05). Conclusions:High temperature, noise, occupational stress and night shift days were related to carotid atherosclerosis. Linear dose-response relationship existed between ERS and CAS in steel workers.

OBJECTIVE: To explore the effect of occupational high temperature exposure on type 2 diabetes( T2 DM) in male steel workers. METHODS: A cluster random sampling method was used to select 684 male steel workers,who exposed to occupational high temperature in a steel enterprise in Tangshan City,as the high temperature group,and 1 153 male steel workers without occupational high temperature exposure as the control group. The high temperature level of workers in these two groups was measured. The cumulative exposure( CE) of high temperature was calculated,and occupational health exam was performed. The multivariate logistic regression analysis and restricted cubic splines were used to analyze the relationship between high temperature CE and T2 DM. RESULTS: The prevalence of T2 DM in high-temperature group was higher than that in the control group( 13. 0% vs 7. 9%,P < 0. 05). The multivariate logistic regression analysis results showed that the risk of T2 DM in the high temperature group was higher than that in the control group after adjusting for age,body mass index,smoking,drinking,physical exercise and parents with diabetes( P < 0. 05). The 95% confidence interval was 1. 65( 1. 17-2. 33). Restricted cubic spline analysis showed that the high temperature CE was correlated with the prevalence of T2 DM in workers( P < 0. 01) and showed a linear correlation( nonlinearity test,P > 0. 05). CONCLUSION: Occupational high temperature exposure is associated with the occurrence of T2 DM in male steel workers. The male steel workers with high temperature CE show high prevalence of T2 DM risk.