Vestibular migraine （VM） is the most common cause of recurrent vertigo， and it is an overlapping disease of central vestibular disease and migraine，as well as a syndrome characterized by the simultaneous or alternating occurrence of paroxysmal vestibular symptoms and typical migraine attacks.VM is known as the “chameleon of vestibular system diseases” due to its complex and diverse symptoms， which can easily lead to missed diagnosis and misdiagnosis. In recent years， with the development of neuroimaging technology and the implementation of multi-center clinical research， the pathogenesis of VM has gradually been expanded from the classic trigeminal neurovascular theory to the aspects of neurotransmitter disorder，cortical diffusion inhibition，and abnormal vestibular-cortical pathway integration. In addition， there have been constant improvements in the diagnosis system of VM，and the treatment modality of VM is gradually shifting to the comprehensive treatment paradigm of “symptomatic treatment in the acute stage combined with preventive treatment in the remission stage and lifestyle adjustment”.This article reviews the latest research advances in this field.

Background With China's socioeconomic development, significant lifestyle changes have occurred among occupational groups, leading to alterations in cardiovascular metabolic risk factors. However, few studies have examined the secular trends of these risk factors in China's working population. Objective To analyze the trends in cardiovascular metabolic risk factors among the occupational population in nine provinces of China from 2009 to 2018, and to explore the associations between different occupational types and these risk factors, along with their clustering patterns, thereby providing evidence for targeted interventions. Methods This study utilized data from the China Health and Nutrition Survey (CHNS) in 2009, 2015, and 2018. The dataset covered 13274 employed individuals aged 18-59 years. Only participants with complete blood test results and physical measurement data were included in the final analysis. The average annual percentage change (AAPC) in the positive rates of risk factors was calculated using Joinpoint regression to analyze temporal trends. Multinomial logistic regression and binary logistic regression models were employed to examine the cross-sectional associations between occupational types (categorized as white-collar workers, agricultural workers, blue-collar workers, service workers, and others) and nine cardiovascular metabolic risk factors and their clustering (defined as having ≥2 risk factors) in 2018. Results A total of 8451 participants were included. From 2009 to 2018, significant increasing trends (AAPC>0, P<0.05) were observed for overweight, obesity, central obesity, borderline elevated triglycerides (TG), borderline elevated to elevated total cholesterol (TC), borderline elevated low-density lipoprotein cholesterol (LDL-C), elevated blood pressure and hypertension, diabetes. The most rapid increases were found for obesity (AAPC=6.07%, 95%CI: 3.42%, 8.88%), hypertension (AAPC=4.10%, 95%CI: 0.62%, 7.77%), and central obesity (AAPC=3.27%, 95%CI: 1.24%, 5.36%). The clustering rate of risk factors increased from 62.3% in 2009 to 73.2% in 2018 (AAPC=1.87%, 95%CI: 1.02%, 2.73%). The cross-sectional analysis in 2018, after adjusting for confounders, showed that compared with white-collar workers, blue-collar workers had a significantly lower risk of overweight (OR=0.67, 95%CI: 0.48, 0.95), central obesity (OR=0.65, 95%CI: 0.45, 0.92), and borderline high TG (OR=0.54, 95%CI: 0.35, 0.82). In contrast, agricultural workers had a higher risk of hypertension (OR=1.76, 95%CI: 1.14, 2.72). Conclusion Between 2009 and 2015, the burden of most cardiometabolic risk factors increases significantly among the Chinese occupational population, with the rate of increase slowing by 2018. Risks vary across occupational types, among which blue- collar workers report lower target outcomes. Targeted interventions focusing on the rapidly increasing risk factors and high-risk occupational groups are recommended.

Background The global prevalence of obesity is on the rise and is closely associated with various chronic non-communicable diseases such as cardiovascular diseases and diabetes. There is a relative lack of long-term dynamic studies on compound obesity among occupational populations. Objective To explore the changing trends of compound obesity among different occupational groups aged 18–59 years in nine provinces (autonomous regions, municipalities) of China from 1993 to 2018, and to provide a scientific basis for formulating targeted weight management strategies for occupational populations. Methods A total of 34519 employed adults aged 18–59 years from nine waves of the China Health and Nutrition Survey in1993, 1997, 2000, 2004, 2006, 2009, 2011, 2015, and 2018 were included. Obesity types were determined according to the Chinese Adult Weight Management Guidelines. The Joinpoint regression model was used to calculate the average annual percentage change (AAPC) and annual percentage change (APC) of compound obesity rates. Results From 1993 to 2018, the age-standardized compound obesity rate among the occupational population aged 18–59 years showed an upward trend (AAPC=6.24%, 95%CI: 5.09%, 7.41%, P<0.05). The AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 9.55% (7.51%, 11.64%), 6.18% (4.70%, 7.69%), 5.53% (2.27%, 8.90%), 4.07% (2.40%, 5.77%), and 3.89% (2.16%, 5.65%), respectively, with statistically significant differences (P<0.05). Among males, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 11.52% (7.71%, 15.47%), 7.28% (6.18%, 8.40%), 5.92% (2.28%, 9.69%), 5.56% (2.11%, 9.12%), and 4.22% (2.33%, 6.15%), respectively, with statistically significant differences (P<0.05). Among females, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, and white-collar workers were 7.45% (6.22%, 8.69%), 3.72% (0.84%, 6.67%), and 2.41% (0.17%, 4.70%), respectively, with statistically significant differences (P<0.05). A turning point was observed in the compound obesity rate among female white-collar workers in 2006, with an APC (95%CI) of 9.69% (5.24%, 14.33%) from 2006 to 2008, showing a statistically significant difference (P<0.05), while no significant trend was found from 1993 to 2006 (P>0.05). No significant trends were observed in the age-standardized compound obesity rates among females in other occupational groups and service workers (P>0.05). Conclusion The compound obesity rate among China's occupational population is increasing rapidly, with the growth rate among agricultural workers being particularly prominent. In 2018, male white-collar workers and female agricultural workers exhibit relatively high compound obesity rates, warranting focused attention. Although the overall growth rate among service workers is slower, the expanding workforce in this sector indicates that obesity remains a serious issue. Targeted occupational health and weight management interventions are needed in the future.

Background With rising obesity rates and earlier hypertension onset among occupational populations, there is an urgent need to elucidate the long-term cardiovascular impacts of dynamic body weight patterns. Current evidence lacks trajectory modeling studies examining occupation-specific prevention strategies. Objective To investigate the association between long-term body mass index (BMI) trajectories and incident hypertension risk in Chinese working adults, and to examine occupation-specific heterogeneity in this relationship. Methods A dynamic sub-cohort of 4 413 occupational participants was constructed from ten survey waves (1991–2018) of the China Health and Nutrition Survey (CHNS). Eligible individuals had valid key BMI records at three or more independent follow-ups before the outcome event; the individual baseline was set as the year of their first participation in the survey. Group-based trajectory modeling (GBTM) was used to identify BMI change patterns. Cox proportional hazards regression was used to calculate hazard ratios (HRs) and 95% confidence interval (CI) for hypertension incidence across trajectory groups, with stratified analysis by occupational categories. Results Among 4413 occupational participants, 1441 incident hypertension cases were reported during the follow-up window. Three long-term BMI trajectories were identified: low-stable, moderate-slowly rising, and high-rising. In Model 3 with all selected confounders adjusted, compared with the low-stable group, the moderate-slowly rising group showed a significantly higher risk of incident hypertension (HR=1.28, 95%CI: 1.12, 1.45; P < 0.001), as did the high-increasing group (HR=1.80, 95%CI: 1.45, 2.23; P < 0.001). The stratified analyses revealed occupational differences in the association. Among agricultural workers, the moderate-slowly rising group (HR=1.35, 95%CI: 1.15, 1.57) and the high-rising group (HR=2.00, 95%CI: 1.50, 2.66) both exhibited significantly increased risks of hypertension (P<0.001). Conversely, among white-collar workers, an increased risk of hypertension was observed only in the high-rising group (HR=1.97, 95%CI: 1.23, 3.17; P<0.05). Conclusion Rapid BMI escalation constitutes a significant risk factor for incident hypertension in occupational populations. Targeted long-term weight monitoring and tailored interventions are recommended for high-risk occupations.

Liver injury has become an increasingly serious global health problem， and existing chemical drugs face the limitations in efficacy and adverse reactions， resulting in the urgent need to develop safe and effective drugs. Recent studies have highlighted the potential of flavonoids from natural medicinal plants in the prevention and treatment of liver injury. As a typical natural flavonoid， luteolin shows a good protective effect against liver injury due to various etiologies， but there is still a lack of systematic elaboration on its mechanism of action. This article summarizes related research advances in China and globally and reviews the mechanism of action of luteolin in inhibiting oxidative stress， exerting an anti-inflammatory effect， regulating cell death， alleviating hepatic fibrosis， modulating lipid metabolism disorders， and regulating the gut-liver axis， as well as the application prospect of luteolin in the treatment of liver injury， in order to provide a scientific reference for further research on this compound.

Liver injury has become an increasingly serious global health problem， and existing chemical drugs face the limitations in efficacy and adverse reactions， resulting in the urgent need to develop safe and effective drugs. Recent studies have highlighted the potential of flavonoids from natural medicinal plants in the prevention and treatment of liver injury. As a typical natural flavonoid， luteolin shows a good protective effect against liver injury due to various etiologies， but there is still a lack of systematic elaboration on its mechanism of action. This article summarizes related research advances in China and globally and reviews the mechanism of action of luteolin in inhibiting oxidative stress， exerting an anti-inflammatory effect， regulating cell death， alleviating hepatic fibrosis， modulating lipid metabolism disorders， and regulating the gut-liver axis， as well as the application prospect of luteolin in the treatment of liver injury， in order to provide a scientific reference for further research on this compound.

Objective To investigate the association between the weight-adjusted waist index (WWI) and prostate cancer (PCa) in order to provide reference for the screening and diagnosis of PCa.Methods Data of 18732 men aged ≥20 years were obtained from the US National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2018. The relationship between WWI and PCa was assessed using a multivariate logistic regression model.A stratified analysis was performed across four time periods:1999—2006, 2007—2010, 2011—2014, and 2015—2018.Restricted cubic splines (RCS) and subgroup analyses were employed to evaluate the potential nonlinear associations and interactions between WWI and PCa risk. The receiver operating characteristic (ROC) curve was utilized to compare the predictive performance of WWI with other obesity-related indicators, including waist-to-height ratio (WtHR), body mass index (BMI), waist circumference, and body weight.Results In the fully adjusted model, each 1-unit increase in WWI was associated with a 74% higher risk of PCa (OR=1.74, 95%CI:1.44-2.11, P＜0.001).Individuals in the highest quartile of WWI had nearly five times greater odds of PCa compared to those in the lowest quartile (OR=4.96, 95%CI:2.69-9.15, P＜0.001).The observed association remained consistent across all four survey cycles.RCS analysis revealed a nonlinear positive association between WWI and PCa risk. Threshold analysis indicated that when WWI ≥9.97, there was a significant positive correlation with PCa risk (OR=1.39, 95% CI:1.18-1.64, P＜0.001).Subgroup analyses confirmed the robustness of this association across different demographic and clinical subpopulations.Furthermore, WWI demonstrated superior discriminatory ability for predicting PCa compared to WtHR, BMI, waist circumference, and body weight (AUC=0.706, 0.608, 0.509, 0.594, 0.488, P＜0.001).Conclusion For the general male population in the US, WWI serves as an independent risk factor for PCa.This association has remained stable over 1999—2018, and WWI outperforms conventional obesity indicators in terms of predictive accuracy.Therefore, individuals with WWI ≥9.97 should be prioritized for prostate-specific antigen (PSA) screening, which may enhance current screening and diagnostic strategies.

Objective To explore the correlation between nutritional status and frailty in elderly patients with cardiovascular disease (CVD), and to provide suggestions for the prevention of frailty occurrence in elderly patients with CVD. Methods A retrospective study was conducted on 357 elderly CVD patients who were admitted to the Third Affiliated Hospital of Chengdu Medical College from May 2024 to July 2024. These patients were divided into a frailty group and a non-frailty group based on the presence or absence of frailty. Data on the patients' nutritional status indicators [body mass index (BMI), weight loss, calf circumference, albumin, and grip strength], general demographic and clinical data, laboratory and physiological indicators, and functional and activity indicators were collected. The influencing factors of frailty and the correlation between nutritional status indicators and frailty were analyzed. Results Among the 357 patients, 69 cases (19.33%) were detected with frailty, while 288 (80.67%) were without frailty. Multivariate logistic regression analysis revealed that age (OR=1.120, 95% CI: 1.023–1.225) and weight loss (OR=2.776, 95% CI: 1.145–6.732) were risk factors influencing the occurrence of frailty in elderly CVD patients (P<0.05), while grip strength (OR=0.902, 95% CI: 0.831–0.980), albumin level (OR=0.892, 95% CI: 0.806–0.988), and calf circumference (OR=0.900, 95% CI: 0.829–0.978) were protective factors of frailty occurrence in elderly CVD patients (P<0.05). Conclusion The incidence rate of frailty is relatively high in elderly patients with CVD. Age and weight loss are independent risk factors for frailty, while high grip strength level, high albumin level, and large calf circumference are independent protective factors of frailty.

Objective Exploring the components of complex scenarios of healthcare surges triggered by major epidemics to provide a theorical basis for building resilience in healthcare organizations.Methods A hybrid analysis method is used to summarize macro-meso-micro multi-level and multi-source heterogeneous information,extract the elements of complex scenarios of medical surge and evaluate the rationality.Fault Tree Analysis method is used to clarify the logical relationship between various scenario elements and construct scenario reasoning paths.Results 10 scenario states,11 disaster-bearing,24 emergency management and 23 scenario results are summarized and extracted to form the key elements of complex surge scenarios.Among them,M4 expansion and coordinated scheduling of key positions,B2 conventional drug inventory emergency/insufficient core treatment drugs,B emergency medical material transportation breakage,S3 disease symptom spectrum shift to severe disease,R13 prevention and control awareness laxity,and M5 media information dissemination management are the key driving factors that promote a major turning point in the scenario.The most positive scenario result is the orderly operation of the medical service system,and the most negative scenario result is the paralysis of the medical service system.Conclusion Medical institutions need to improve emergency plans based on the complex evolution scenarios of medical surges and agile governance capabilities targeting key turning points,focus on dynamically expanding and scheduling personnel in key positions,strengthen material rotation and reserve mechanisms,maintain smooth emergency logistics channels,and improve efficient management of media and public opinion,so as to comprehensively improve overall resilience.

Objective To explore the coupling mechanism between medical surge response resources and the spread of secondary risks during public health emergencies,as well as the effectiveness of relevant interventions.Methods Based on complex network theory,a dual-layer network model of medical resources and secondary events was constructed.The interactive feedback between medical resource status and secondary event risk,as well as the effects of network structure,were analyzed through MATLAB simulations,REPAST agent-based modeling,and mean-field analysis.Results Simulation and prediction results show that an increase in first-layer resource-deficient nodes significantly raises the activation rate and transmission speed of secondary events,while the clustering and spread of secondary events in the second layer,in turn,intensify resource depletion,creating a negative feedback loop.Mean-field analysis indicates a nonlinear positive correlation between the adequacy of medical resources and the likelihood of secondary events.Network structure analysis reveals that when the average node degree exceeds 8,resource allocation efficiency improves markedly.Conclusion There exists a dynamic coupling and bidirectional feedback relationship between medical resource status and secondary event risks.Enhancing the flexible allocation and responsiveness of medical resources,improving multi-sectoral collaborative monitoring and coordinated regulation,optimizing network connectivity and coordination mechanisms for resource distribution,and establishing dynamic monitoring and tiered early warning systems are key strategies for strengthening the resilience of healthcare systems and effectively containing the spread of secondary events.