Objective: To explore the network structure of dietary intake and physical fitness subtypes among junior and senior high school students, so as to provide precise and efficient intervention guidance for improving abnormal physical health issues in adolescents. Methods: Based on the 2020-2021 Database of Youth Health (DYH), a total of 9 730 junior and senior high school students in Shandong Province were included for analysis. Dietary intake was assessed using a modified Chinese Dietary Quality Questionnaire, and physical fitness was evaluated according to the "2014 National Student Physical Fitness Standard". The Kmeans clustering algorithm was employed to identify potential subtypes of physical fitness in junior and high school students. Network analysis was used to construct a network linking dietary intake and physical fitness symptoms and to identify clusters of dietary behaviors and physical fitness symptoms among adolescents of different genders. Results: The physical fitness among junior and senior high school students of different genders were categorized into two subtypes: the baseline steady type (3 427 male students, 4 039 female students) and the morphological deviation type (1 294 male students, 970 female students). Statistically significant differences were observed in network strength and network connectivity strength among different genders and physical fitness subtypes (all P<0.05). Connections between food intake and physical health symptom clusters across different genders and physical health types among junior and senior high school students were primarily achieved through instant noodle intake and physical fitness (males of morphological deviation type, weight=0.06), fruit intake and physical fitness (males of baseline steady type, weight=-0.07), potato intake and vital capacity (females of morphological deviation type, weight=0.09), and processed meat intake and vital capacity (females of baseline steady type, weight=0.05). Conclusions Dietary intake serves as a significant modifiable risk factor for the physical fitness of junior and high school students. Interventions should focus on promoting healthy eating habits.

Premenstrual dysphoric disorder (PMDD) is considered a severe form of premenstrual syndrome (PMS). As a key brain region involved in emotional regulation and stress responses, the amygdala has been implicated in the pathogenesis of PMS/PMDD. The amygdala is composed of multiple subregions, each playing distinct roles in emotion, memory, and stress responses, and forms complex brain areas. Summarizing the interconnections among amygdala, subregions and their connectivity with external areas, and exploringt the neuroimaging characteristics of the amygdala, as well as changes in its neural circuits and brain networks in these patients, will help provide a theoretical foundation for targeted modulation of amygdala function in the treatment of PMS/PMDD.
Humans ; Amygdala/diagnostic imaging* ; Female ; Premenstrual Dysphoric Disorder/pathology* ; Premenstrual Syndrome/pathology* ; Emotions/physiology* ; Magnetic Resonance Imaging

Global public health faces substantial challenges from malignant tumors and infectious diseases. Vaccination provides an approach for treating and preventing these diseases. Oral vaccinations are particularly advantageous in disease treatment and prevention due to their non-invasive nature, high patient compliance, convenience, cost-effectiveness, and capacity to stimulate comprehensive and adaptive immune responses. However, the overwhelming majority of oral vaccines remain in experimental development, struggling with clinical and commercial translation due to their suboptimal efficacy. Thus, enhancing scientists' understanding of the interaction between vaccines and gastrointestinal immune system, creating antigen delivery systems suitable for the gut mucosal environment, developing more potent antigenic epitopes, and using personalized combination therapies are critical for advancing the next generation of oral vaccines. This article explores the fundamental principles and applications of current oral anti-tumor and anti-infective vaccines and discusses considerations necessary for designing future oral vaccines.

Background Unhealthy lifestyle behaviors may be associated with an increased risk of cardiometabolic risk factor aggregation (CMRF≥ 2), and few studies have focused on the correlation between the two in occupational populations. Objective To investigate the current status of CMRF≥2 and the compliance of healthy lifestyle in male occupational personnel, explore the effect of lifestyle on cardiometabolic risk, and provide reference for formulating healthy behavior promotion strategies and reducing cardiometabolic risk in occupational populations. Methods The study subjects were selected from male workers who completed occupational health examinations at an occupational disease prevention and control hospital in Shanxi Province from May to December 2023, and 15125 study subjects aged 18−60 years were finally included according to pre-determined inclusion and exclusion criteria. All subjects received a series of assessments including questionnaires (basic information, lifestyle habits, and occupational factors), physical examination, laboratory tests, and six cardiometabolic risk factors (central obesity, hypertension, type 2 diabetes, hypertriglyceridemia, low-density lipoprotein cholesterolemia, and hyperuricemia). A healthy lifestyle score was calculated based on six behavioral factors (smoking, drinking, physical activity, diet, sleep, sedentary behavior) and 1 point for one positive healthy behavior. The enrolled workers were then divided into three groups according to their total scores: 0−1 points (poor group), 2−3 points (moderate group), and 4−6 points (good group). Logistic regression models were used to analyze the statistical associations between lifestyle and CMRF≥2. Results The median age of the 15125 male study participants was 40 years, and the positive rate of CMRF≥2 was 53.5%. Adherence to moderate alcohol consumption was the most compliant healthy behavior (79.4%), followed by current non-smoking (41.7%), while adherence to adequate sedentary behavior (23.6%) and healthy eating (21.1%) were relatively low, and only 17.4% were able to adhere to four or more healthy lifestyle behaviors. After adjusting for confounders, when compared with the poor group high lifestyle score was found to be a protective factor for CMRF≥2 (moderate group: OR=0.70, 95%CI: 0.63, 0.77; good group: OR=0.66, 95%CI: 0.58, 0.75). In stratified analyses across different job types (coal miners, auxiliary workers, ground workers, and others), occupational stress (with or without), shift patterns (day shift, night shift, or rotating shift), dust exposure (with or without), and noise exposure (with or without), individuals with higher lifestyle scores exhibited a consistently lower risk of CMRF≥2. There was an interaction between shift pattern and lifestyle on CMRF≥2 (P_interaction<0.05). Conclusion This occupational group has a high positive rate of CMRF≥2 and a high prevalence of poor lifestyles with low adherence to some healthy behaviors. High healthy lifestyle scores are associated with a lower risk of aggregation of cardiometabolic risk factors, which may be reduced through lifestyle interventions.

Objective To analyze in depth the job satisfaction and influencing factors of medical staff in tertiary public hospitals in Gansu Province,especially to explore the important factors affecting the survival and development of hospitals as core talents,in order to provide reference for promoting the stable development of medical staff in medical institutions in Gansu Prov-ince.Methods From July to October 2024,a random sampling method was used to select relevant personnel from tertiary public hospitals in Gansu Province for a questionnaire survey.Descriptive analysis were conducted on the collected data.Multivariate lo-gistic regression analysis was used to identify the main influencing factors of job satisfaction among medical staff.The difference is statistically significant with P＜0.05,and the test level is α=0.05.Results 1 890 questionnaires were distributed and 1 885 valid questionnaires were collected,with an effective rate of 99.74％.The overall job satisfaction score of medical staff in tertiary hospitals in Gansu Province is 3.06±0.86,which is at a moderate level.Hospitals can consider improving management models,establishing scientific,reasonable,and humane management systems,enhancing doctors'sense of belonging,and improving sat-isfaction;The satisfaction brought by salary to medical staff is higher than promotion opportunities and career development,indi-cating that a reasonable salary incentive system in hospitals,with excellent performance and compensation,can increase doctors'subjective well-being and improve satisfaction.Optimising the allocation of health human resources and appropriately in creasing personnel allocation based can help improve doctors'job satisfaction.Conclusion The overall job satisfaction of medical staff in tertiary hospitals in Gansu Province is generally satisfactory,and there are statistically significant differences in job satisfaction a-mong medical staff with different work experience,education level and monthly income(P＜0.05).When formulating policies and measures,the government pays attention to factors that affect the job satisfaction of medical personnel,optimizes the alloca-tion of health human resources,continuously improves incentive mechanisms,and improves hospital management models,enhan-cing the job satisfaction of medical staff and laying the foundation for promoting the developmrnt of provincial health talent team.

Objective To investigate whether the application of automated software for computed tomography angiography(CTA)and computed tomography perfusion imaging(CTP)can improve in-hospital workflow for endovascular treatment(EVT)in acute ischemic stroke patients.Methods We included patients with acute ischemic stroke who received CTA and CTP evaluation followed by EVT through the stroke emergency pathway at the Affiliated Hospital of Southwest Medical University between January 1,2020 and December 30,2022.The patients were divided into two groups:control group and artificial intelligence(Al)group based on whether automated software was used for assessment.The control group consisted of patients who underwent manual post-processing of multimodal imaging before June 2021,while the AI group was composed of patients whose imaging was processed with automated software from July 2021 onwards.The primary outcome was door-to-puncture time(DPT),and the secondary outcome was the 90-day modified Rankin Scale(mRS)score.Results A total of 312 patients were included,with 145 in the control group and 167 in the AI group.The median age of all the patients was 68 years(range:58-74 years),and 55.4％(173 patients)were male.The median National Institutes of Health Stroke Scale(NIHSS)score at presentation was 16 scores(range:12-19 scores).The median DPT was reduced from 110 min(range:80-150 min)before the use of automated software to 95 min(range:65-125 min)after its implementation(P＜0.001).However,there was no significant difference in the proportion of patients achieving functional independence(mRS score of 0-2)between the two groups(39.3％vs.41.3％,P=0.719).Conclusion The application of multimodal CT automated software improves the in-hospital workflow for acute ischemic stroke patients by reducing the time to EVT.However,the software did not significantly impact neurological functional outcomes as measured by the mRS.

Objective To explore the predictive value of a model established by combining MRI radiomics with clinical features for lymphovascular space invasion(LVSI)and lymph node metastasis(LNM)in early-stage cervical cancer.Methods A retrospective analysis was conducted on relevant data from 123 patients with early-stage cervical cancer confirmed by surgical pathology.They were randomly divided into training set(n=74)and testing set(n=49)in a 6∶4 ratio.The tumor regions in the T2WI-fat suppression(FS),diffusion weighted imaging(DWI),and T1WI with enhancement sequences were segmented and radiomics features were extracted.After screening and dimensionality reduction,the most relevant features were retained.The effectiveness of the model was evaluated using the area under the curve(AUC)of the receiver operating characteristic(ROC)curve.Results The combined model of MRI radiomics-clinical-MRI features had the best predictive performance for early-stage cervical cancer LVSI,with AUC of 0.848 and 0.821 in the training and testing sets,respectively.The predictive performance of various MRI radiomics models for early-stage cervical cancer LNM was superior to the clinical model.Conclusion The MRI radiomics model and clinical model have certain predictive value for early-stage cervical cancer LVSI and LNM,and the combined model performs the best.Radiomics will provide a basis for developing individualized treatment plans in clinical practice.

Objective:To explore the effect of exercise on glycemic control and physical indicators among community-dwelling persons with type 2 diabetes mellitus (T2DM).Methods:A total of 42 T2DM patients undergoing regular follow-up at a community health center were divided into a control group and an exercise group. To minimize confounding factors, 1∶1 propensity score matching was performed, resulting in 21 patients in each group. Both groups received standardized diabetes management, including medication, dietary guidance and diabetes health education. The exercise group additionally performed exercises which integrated sports and medical care models. The experiment lasted 8 weeks. Before and after the intervention, glycosylated hemoglobin A1c (HbA1c) levels, body weight, body mass index (BMI), fat mass, visceral fat area (VFA), fat mass index (FMI) and appendicular skeletal muscle mass index (ASMI) were recorded and compared between the two groups. Moreover, the actual exercise compliance of the exercise group was observed, along with any adverse events such as hypoglycemia or exercise-related injuries, as well as changes in antidiabetic medication dosage.Results:After the intervention, significant improvement was observed in both groups in all of the measurements, but with the average HbA1c, BMI, fat mass, VFA and FMI values of the exercise group then significantly better than the control group′s averages. The average compliance rate in the exercise group was 60%. No cases of hypoglycemia or exercise-related injuries were reported during the intervention, and there were no changes in the use of anti-diabetes medications.Conclusions:Exercise effectively improves glycemic control and physical indicators among community-dwelling T2DM patients. However, exercise compliance needs improving.

Objective To investigate whether the application of automated software for computed tomography angiography(CTA)and computed tomography perfusion imaging(CTP)can improve in-hospital workflow for endovascular treatment(EVT)in acute ischemic stroke patients.Methods We included patients with acute ischemic stroke who received CTA and CTP evaluation followed by EVT through the stroke emergency pathway at the Affiliated Hospital of Southwest Medical University between January 1,2020 and December 30,2022.The patients were divided into two groups:control group and artificial intelligence(Al)group based on whether automated software was used for assessment.The control group consisted of patients who underwent manual post-processing of multimodal imaging before June 2021,while the AI group was composed of patients whose imaging was processed with automated software from July 2021 onwards.The primary outcome was door-to-puncture time(DPT),and the secondary outcome was the 90-day modified Rankin Scale(mRS)score.Results A total of 312 patients were included,with 145 in the control group and 167 in the AI group.The median age of all the patients was 68 years(range:58-74 years),and 55.4％(173 patients)were male.The median National Institutes of Health Stroke Scale(NIHSS)score at presentation was 16 scores(range:12-19 scores).The median DPT was reduced from 110 min(range:80-150 min)before the use of automated software to 95 min(range:65-125 min)after its implementation(P＜0.001).However,there was no significant difference in the proportion of patients achieving functional independence(mRS score of 0-2)between the two groups(39.3％vs.41.3％,P=0.719).Conclusion The application of multimodal CT automated software improves the in-hospital workflow for acute ischemic stroke patients by reducing the time to EVT.However,the software did not significantly impact neurological functional outcomes as measured by the mRS.

Objective To explore the predictive value of a model established by combining MRI radiomics with clinical features for lymphovascular space invasion(LVSI)and lymph node metastasis(LNM)in early-stage cervical cancer.Methods A retrospective analysis was conducted on relevant data from 123 patients with early-stage cervical cancer confirmed by surgical pathology.They were randomly divided into training set(n=74)and testing set(n=49)in a 6∶4 ratio.The tumor regions in the T2WI-fat suppression(FS),diffusion weighted imaging(DWI),and T1WI with enhancement sequences were segmented and radiomics features were extracted.After screening and dimensionality reduction,the most relevant features were retained.The effectiveness of the model was evaluated using the area under the curve(AUC)of the receiver operating characteristic(ROC)curve.Results The combined model of MRI radiomics-clinical-MRI features had the best predictive performance for early-stage cervical cancer LVSI,with AUC of 0.848 and 0.821 in the training and testing sets,respectively.The predictive performance of various MRI radiomics models for early-stage cervical cancer LNM was superior to the clinical model.Conclusion The MRI radiomics model and clinical model have certain predictive value for early-stage cervical cancer LVSI and LNM,and the combined model performs the best.Radiomics will provide a basis for developing individualized treatment plans in clinical practice.