Objective To analyze the prevalence characteristics and influencing factors of metabolic syndrome (MS) in people aged 35-75 years in Hubei Province. Methods The follow-up data from 2016 to 2022 in the early screening and comprehensive intervention project for high-risk cardiovascular population in Hubei Province were collected. SAS 9.4 software was used to conduct 2-test and multivariate logistic regression to analyze the prevalence of MS and its influencing factors. Results Among the 89 199 subjects, 24 757 were affected by MS, with a prevalence rate of 27.75% and a standardized rate of 23.55%. Among the various components of MS, the prevalence of abnormal blood pressure was the highest, at 70.88%, and the standardized rate was 59.32%. Secondly, abnormal blood glucose was 36.26%, and the standardized rate was 30.04%. Central obesity was 33.12%, and the standardized rate was 30.28%. Hypertriglyceridemia was 32.90%, and the standardized prevalence rate was 32.70%. The rate of low HDL-C syndrome was 10.25%, and the standardized rate was 11.67%. The results of multivariate logistic regression analysis showed that the risk of MS increased with age, and the risk of MS in urban residents was lower than that in rural residents (OR=0.835, 95%CI: 0.77-0.886). Administrative and professional workers had a higher risk of MS than farmers (OR=1.313, 95%CI:1.194-1.445). Overweight, obesity, central obesity, history of self-reported hypertension, history of self-reported diabetes, and history of self-reported dyslipidemia were associated with a higher risk of MS, and the differences were statistically significant (P < 0.001). Conclusion The prevalence of MS is high in people aged 35-75 years in Hubei Province. On the basis of comprehensive intervention, focus monitoring should be strengthened to control the risk factors of MS and reduce the risk of cardiovascular and cerebrovascular diseases.

Impaired glucose regulation （IGR） is an intermediate state between normal blood glucose and diabetes， falling under the category of splenic pure heat in traditional Chinese medicine （TCM）. The core pathogenesis is believed to be the dysfunction of the zang-fu （脏腑） organs， leading to metabolic abnormalities of subtle essence and the generation of "turbid pathogen". Its accumulation can block qi movement， damage the vessel collaterals， and promote the disease progression toward diabetes. The concept of "turbid pulse" is proposed as an early sign of IGR， characterized by full and heavy sensation with stagnated and astringent circulation， which can serve as an effective supplement to clinical screening. The differentiation and treatment approach in clinical practice is summarized as follows. If the ascending and descending mechanisms of qi movement in the middle jiao （焦） are disrupted， with mutual interference between the clear and the turbid， treatment should focus on harmonizing the ascending and the descending， and transforming dampness with aromatic medicinals. For spleen-stomach qi deficiency due to long-term restriction of the spleen and stomach's function of transportation and transformation， it is suggested to fortify spleen and harmonize stomach， and transport turbid with sweet-warm medicinals. For spleen deficiency and liver constraint induced by internal generation of damp-heat in the middle jiao， the treatment should focus on soothing the liver and opening constraint， and directing the turbid downward with sour-sweat medicinals. For solid accumulation and stagnation caused by liver qi constraint， it is recommended to unblock intestine and remove stagnation， and discharge turbid with bitter-cold medicinals. When the disease is transmitted to the lower jiao， and the kidneys are affected， the treatment should be regulating spleen and kidney， and rectifying turbid with salty-sour medicinals. In conclusion， it is emphasized to promote the transformation of turbid pathogen to restore metabolic homeostasis， providing methods for the clinical diagnosis and treatment of IGR.

Objective:To explore the impact of adolescent mental health status on smartphone addiction, and construct a predictive model for smartphone addiction based on the eXtreme Gradient Boosting(XGBoost) algorithm and multivariate Logistic regression.Methods:In April 2023, a cross-sectional survey was conducted among 14 666 adolescents.All participants were systematically evaluated using a self-developed general information questionnaire, the middle school student mental health scale(MSSMHS), the adolescents self-harm scale(ASHS), the interaction anxiousness scale(IAS), the mobile phone addiction index(MPAI), the middle school students shame scale(MSSS), the UCLA loneliness scale(UCLA-LS), the multidimensional peer victimization scale(MPVS), and the basic psychological needs scale(BPNS).R software version 4.3.2 was used for data analysis. Participants were randomly divided into training set and validation set at the ratio of 7∶3.The XGBoost model and multivariate logistic regression model were constructed to predict the risk of smartphone addiction, and a nomogram was plotted.Model performance was evaluated using the Hosmer-Lemeshow test, area under the curve(AUC), and accuracy(ACC).Results:(1) A total of 14 036 high school students were included in the study, with 5 069(36.1%) exhibited smartphone addiction.The training set comprised 9 826 students, with 3 549(36.1%) being smartphone addicts.The validation set included 4 210 students, with 1 520(36.1%) being smartphone addicts.(2) The XGBoost model identified shame-proneness and social anxiety as the two main predictors of smartphone addiction.(3) Multivariate Logistic regression analysis revealed that anxiety( B=0.328, OR(95% CI)=1.39(1.07-1.81), P=0.015), interpersonal sensitivity( B=0.311, OR(95% CI)=1.36(1.05-1.77), P=0.018), learning pressure( B=0.606, OR(95% CI)=1.83(1.46-2.31), P<0.001), mood swings( B=0.775, OR(95% CI)=2.17(1.70-2.78), P<0.001), social anxiety( B=0.024, OR(95% CI)=1.02(1.01-1.04), P<0.001), shame-proneness( B=0.049, OR(95% CI)=1.05(1.04-1.06), P<0.001), and peer victimization( B=0.037, OR(95% CI)=1.04(1.02-1.06), P<0.001) were significant predictors of smartphone addiction.(4) The ACC and AUC values of the XGBoost model were 0.890 and 0.929 in the training set, and 0.865 and 0.864 in the validation set, respectively.The multivariate Logistic regression model achieved ACC and AUC values of 0.870 and 0.854 in the training set, and 0.867 and 0.859 in the validation set, respectively. Conclusion:Anxiety, interpersonal sensitivity, learning pressure, mood swings, social anxiety, shame-proneness, and peer victimization are identified risk predictors of smartphone addiction in high school adolescents.

Objective To explore the neuroelectrophysiological mechanism of the decline of overall cognitive function and prospective memory,the syndrome manifestation of liver failing to govern conveyance and dispersion of the middle-aged and elderly people in the community with long-term emotional disturbance were evaluated.Methods Eysenck personality questionnaire(EPQ)and general condition questionnaire were used to screen the middle-aged and elderly people from 46 to 65 years old in the community who met the high and low neuroticism criteria,which were included in the long-term emotional disturbance group and the control group.According to the principle of matching sex,age(±2 years)and years of education(±2 years),60 subjects in each group were included.The scores of livers meridian syndrome,anxiety factor,depression factor and the total scores of three factors in the two groups were detected with the emotion rating scale for Ganzangxiang of traditional Chinese medicine.The overall cognitive function,the overall level of prospective memory and the dual-task paradigm of event-related memory were evaluated and event-related potential components were detected.Results Compared to the control group,the total scores of emotion rating scale for Ganzangxiang of traditional Chinese medicine and the scores of liver meridian syndrome factor,anxiety factor and depression factor all increased in the long-term emotional disturbance group significantly(P<0.05).The total scores of MoCA scale(after correction)and the level scores of visual space and executive function,attention and delayed recall decreased significantly(P<0.05),and the total scores of prospective memory questionnaire decreased significantly(P<0.05).The correct rates of ongoing tasks and prospective memory tasks in the event-based prospective memory dual task paradigm were decreased,and the reaction time was prolonged in the long-term emotional disorder group significantly(P<0.05).The amplitude of P200 of ongoing task and prospective memory task were increased in the long-term emotional disorder group(0.05

Objective:To explore the impact of adolescent mental health status on smartphone addiction, and construct a predictive model for smartphone addiction based on the eXtreme Gradient Boosting(XGBoost) algorithm and multivariate Logistic regression.Methods:In April 2023, a cross-sectional survey was conducted among 14 666 adolescents.All participants were systematically evaluated using a self-developed general information questionnaire, the middle school student mental health scale(MSSMHS), the adolescents self-harm scale(ASHS), the interaction anxiousness scale(IAS), the mobile phone addiction index(MPAI), the middle school students shame scale(MSSS), the UCLA loneliness scale(UCLA-LS), the multidimensional peer victimization scale(MPVS), and the basic psychological needs scale(BPNS).R software version 4.3.2 was used for data analysis. Participants were randomly divided into training set and validation set at the ratio of 7∶3.The XGBoost model and multivariate logistic regression model were constructed to predict the risk of smartphone addiction, and a nomogram was plotted.Model performance was evaluated using the Hosmer-Lemeshow test, area under the curve(AUC), and accuracy(ACC).Results:(1) A total of 14 036 high school students were included in the study, with 5 069(36.1%) exhibited smartphone addiction.The training set comprised 9 826 students, with 3 549(36.1%) being smartphone addicts.The validation set included 4 210 students, with 1 520(36.1%) being smartphone addicts.(2) The XGBoost model identified shame-proneness and social anxiety as the two main predictors of smartphone addiction.(3) Multivariate Logistic regression analysis revealed that anxiety( B=0.328, OR(95% CI)=1.39(1.07-1.81), P=0.015), interpersonal sensitivity( B=0.311, OR(95% CI)=1.36(1.05-1.77), P=0.018), learning pressure( B=0.606, OR(95% CI)=1.83(1.46-2.31), P<0.001), mood swings( B=0.775, OR(95% CI)=2.17(1.70-2.78), P<0.001), social anxiety( B=0.024, OR(95% CI)=1.02(1.01-1.04), P<0.001), shame-proneness( B=0.049, OR(95% CI)=1.05(1.04-1.06), P<0.001), and peer victimization( B=0.037, OR(95% CI)=1.04(1.02-1.06), P<0.001) were significant predictors of smartphone addiction.(4) The ACC and AUC values of the XGBoost model were 0.890 and 0.929 in the training set, and 0.865 and 0.864 in the validation set, respectively.The multivariate Logistic regression model achieved ACC and AUC values of 0.870 and 0.854 in the training set, and 0.867 and 0.859 in the validation set, respectively. Conclusion:Anxiety, interpersonal sensitivity, learning pressure, mood swings, social anxiety, shame-proneness, and peer victimization are identified risk predictors of smartphone addiction in high school adolescents.

Objective To investigate the effects of five-element music on depressive behaviors and intestinal flora in offspring of fear-stress rats during pregnancy.Methods Thirty-six 0.5-day pregnant Wistar rats were divided randomly into a control group,fear-stress group,and five-element music group,and the subsequent litters continued the maternal grouping.Pregnant rats in the fear-stress and five-element music groups were modeled on days 1～19 of gestation using the bystander electric method,while the five-element music group was also exposed to Feather Tune five-element music intervention.The fear behavior and serum glucocorticoid(GC)levels in pregnant rats were assessed on day 20 of pregnancy by open field test and enzyme-linked immunosorbent assay,respectively,to evaluate the effectiveness of the model.Depression in 3-week-old offspring was evaluated by open field,tail suspension,and sucrose preference tests.Norepinephrine(NE),dopamine(DA),and 5-hydroxytryptamine(5-HT)levels in the hippocampus of the offspring were measured by high-performance liquid chromatography.Changes in the intestinal flora of the offspring were analyzed by 16S rRNA sequencing.Expression levels of the proximal colonic proteins claudin1,occludin,and ZO1 in the offspring were measured by Western blot assay.Results Pregnant rats in the fear-stress group stayed longer in the area around the open field(P＜0.05),had fewer entries into the central area(P＜0.001),and had higher serum GC levels compared with those in the blank group(P＜0.001).In contrast,five-element music exposure reversed these behavioral changes(P＜0.05)and serum GC levels(P＜0.001)in the fear-stress group.Offspring in the fear-stress group exhibited decreased open-field crossing frequency(P＜0.01),reduced sucrose preference index,and longer immobility time in the tail suspension test(P＜0.05),compared with those in the blank group,together with significantly decreased NE,DA,and 5-HT levels in the hippocampus(P＜0.05).Rats in the fear-stress group showed decreased diversity of the intestinal flora(P＜0.01)and significant alterations in flora structure,including higher abundance of Proteobacteria,Enterobacteriaceae,Enterococcus,and Escherichia(P＜0.05),and lower abundance of Spirochaetes,Spirochaetaceae,Lachnospiraceae,Ruminococcaceae,Treponema,Prevotella,Coprococcus,Allobaculum,Ruminococcus,and Dorea(P＜0.05).The proximal colonic proteins Claudin1,Occludin,and ZO1 were significantly downregulated(P＜0.05).The open-field crossing frequency,sucrose preference index,and duration of tail suspension immobilization were improved in the five-element music group compared with those in the fear-stress group(P＜0.05),while DA and 5-HT levels were significantly restored in the hippocampus(P＜0.05),species diversity of the intestinal flora increased(P＜0.01)and changes in the abundance of the flora were reversed,and the proximal colonic proteins Occludin and ZO1 expression were significantly upregulated(P＜0.05).Conclusions Five-element music intervention during pregnancy can ameliorate fear-stress-induced depression behaviors and intestinal flora disorders in the offspring.

The concept of competency-based standardized residency training is gaining global popularity. However, the process of assessing, continuously evaluating, and conducting final competency evaluations remains challenging. The Milestones 2.0 system, developed by the Accreditation Council for Graduate Medical Education, provides a framework for evaluating competencies in radiation oncology residents. The core objective of this system is to assess sub-competencies within core competencies, categorizing them from novice to expert across 5 levels. Evaluation occurs every 6 months, with the expectation that all residents reach level 4 in all sub-competencies by the end of their training. This approach aims to enhance the standardization of residency evaluations across the United States. This article aims to analyze the Milestones 2.0 competency framework and explore its potential applicability and reference value for standardized radiation oncology residency training in China.

OBJECTIVE To analyze the epidemiological characteristics of fungal infections in patients of intensive care unit(ICU)of a tertiary general hospital from 2020 to 2024 and explore the prognosis of the ICU patients with fungal sepsis and the influencing factors so as to provide guidance for optimization of prevention,control and treat-ment strategies for the fungal infections.METHODS The data with regard to the isolation of 1131 strains of non-repetitive fungi from ICU patients were retrospectively collected from the Affiliated Hospital of Guizhou Medical University between 2020 and 2024.The sources of specimens and mortality rates of patients with different types of fungal infections were observed.The treatment outcomes of the patients with the infections of different sources of specimens were assessed by Kaplan-Meier survival curve and Log-rank test.The risk factors for death were screened out through univariate analysis.RESULTS The respiratory tract specimens were the main source where the strains were isolated,accounting for 56.68％;Candida albicans was the absolute predominance,accounting for 73.47％.The mortality rate of the patients with Candida parapsilosis infection reached up to 29.17％.The mortality rate of the patients with blood infections was the highest(33.82％,P＜0.001),and the patients with the source of blood infections had the poorest prognosis(P=0.019).The echinocandins were the most com-monly used for antifungal therapy,accounting for 52.05％.CONCLUSIONS The ICU is a place where the fun-gal infections are highly prevalent.The high morality rate is associated with the blood source infections and specific species.It is crucial for improvement of prognosis to identify the high-risk patients in early stage and optimize the antifungal strategies.

Background The association between occupational physical activity (OPA) and cardiometabolic risk factors remains controversial, potentially due to differences in the associations between OPA and various cardiometabolic indicators, as well as the lack of a clearly defined optimal OPA range for multiple-indicator synergistic benefits. Objective To investigate the relationship between OPA and cardiometabolic risk factors in individuals at high risk of cardiovascular disease (CVD) in Hubei Province, and to explore an optimal OPA range for multi-indicator improvements. Methods Data were derived from the Hubei Province dataset of the China Health Evaluation And Risk Reduction Through Nationwide Teamwork from 2015 to 2023, including 19028 high-risk CVD individuals. OPA (metabolic equivalent·h·d⁻¹, MET·h·d⁻¹) was assessed using the China Kadoorie Biobank physical activity questionnaire, anthropometric measurements (height, weight, waist circumference) and cardiometabolic indicators (blood pressure, fasting blood glucose, lipid profiles) were measured. Multivariate logistic regression was used to analyze the association between logOPA quartiles (Q1-Q4) and abnormal cardiometabolic indicators, while restricted cubic spline (RCS) models were employed to explore their dose-response relationships. Subgroup and interaction analyses were also conducted by gender. Results The median OPA of all participants was 12.86 MET·h·d⁻¹ (male: 14.40 MET·h·d⁻¹, female: 11.14 MET·h·d⁻¹). After adjusting for confounders, compared with the Q1 group, logOPA in the Q4 group was associated with 20% (OR=0.80, 95%CI: 0.72, 0.89), 14% (OR=0.86, 95%CI: 0.78, 0.96), and 13% (OR=0.87, 95%CI: 0.79, 0.95) reduction in the risk of abdominal obesity, low high-density lipoprotein cholesterol (HDL-C), and metabolic syndrome (MS), respectively, and 33% (OR=1.33, 95%CI: 1.18, 1.49), 33% (OR=1.33, 95%CI: 1.18, 1.50), and 38% (OR=1.38, 95%CI: 1.21, 1.57) increase in the risk of high total cholesterol (TC), high low-density lipoprotein cholesterol (LDL-C), and high non-HDL-C, respectively. Similar trends were observed in males and females, with significant positive associations of logOPA with high TC and high non-HDL-C in males (P_interaction<0.05). The risk of low HDL-C decreased rapidly when logOPA was more than 2.213 (OPA>9.14 MET·h·d⁻¹), showing an inverted L-shaped trend. The risk of high TC, high LDL-C, and high non-HDL-C increased beyond logOPA thresholds of 3.244, 2.476, and 3.377 (OPA >25.64, 11.89, and 29.28 MET·h·d⁻¹), respectively, showing a J-shaped trend. However, logOPA exhibited a U-shaped nonlinear dose-response relationship with blood pressure and fasting blood glucose abnormalities (P_non-linear<0.05) , with minimal risks at logOPA 2.969 and 2.372 (OPA of 19.47 and 10.72 MET·h·d⁻¹). Conclusion OPA exhibits heterogeneous dose-response patterns across cardiometabolic indicators. Integrating the inverted L-, J-, and U-shaped association patterns, we suggest an optimal OPA range of 9.14−25.64 MET·h·d⁻¹ for multiple cardiometabolic indicators in total individuals at high-risk of CVD, with ranges of 9.61−31.34 MET·h·d⁻¹ for males and 8.97−22.87 MET·h·d⁻¹ for females. These findings provide critical evidence for developing OPA interventions strategies targeting high-risk population for CVD.