Objective To analyze the epidemiological characteristics of statutory infectious diseases in Yichang City from 2015 to 2023 and evaluate the effectiveness of non-pharmaceutical interventions (NPIs) in infectious disease prevention and control, and to provide a basis for formulating prevention and control strategies. Methods Descriptive epidemiological methods were used to analyze annual incidence rates. SARIMA and SARIMA intervention models were constructed to predict the incidence rates of infectious diseases. Interrupted time series analysis (ITS) was applied to assess the control effectiveness. Results The average annual incidence rate from 2015 to 2023 was 787.47/100 000, with the top five diseases being influenza, hand-foot-and-mouth disease, hepatitis B, tuberculosis, and diarrheal diseases. The average incidence rate from 2015 to 2019 (654.31/100 000) was significantly higher than that from 2020 to 2022 (489.01/100 000) (χ²= 3 499.6, P < 0.05). The total incidence rate in 2023 (2 396.51/100 000) was significantly higher than the average annual incidence rates from 2015-2019 (χ²= 108 186.1, P < 0.05) and 2020-2022 (χ²= 112 869.4, P < 0.05). SARIMA model results indicated that the actual incidence rate from 2020 to 2022 decreased by 73.49% compared to the predicted rate without intervention, with the highest decline observed in respiratory infectious diseases (79.57%). The SARIMA-intervention model showed a 55.48% relative decrease in the total incidence rate for 2023, with the largest reduction in respiratory infectious diseases (63.28%) and a slight increase in intestinal infectious diseases (5.48%). Conclusion NPIs effectively reduce the incidence of statutory infectious diseases in the short term, especially for acute respiratory and intestinal infectious diseases. However, long-term effectiveness faces challenges, necessitating the development of differentiated prevention and control strategies.

BackgroundLow medication compliance among patients with severe mental disorders increases the disease burden on both the patients' families and the society. Medication adherence is influenced by numerous factors. Traditional methods such as Logistic regression struggle to quantify the importance of these factors. By introducing Extreme Gradient Boosting （XGBoost） combined with Shapley Additive Explanations （SHAP）， enables the quantification of the relative contribution weights of each factor， providing support for identifying the core influencing factors. ObjectiveTo explore the influencing factors of medication adherence among patients with severe mental disorders in Zhuhai， aiming to provide references for optimizing patient management strategies. MethodsExtract the data of patients with severe mental disorders who were registered on the mental health system platform in Zhuhai City from January 1， 2023 to March 31， 2025. A total of 9 329 patients were finally included for analysis. Influencing factors were screened using univariate analysis and multivariate logistic regression analysis， and an XGBoost model combined with the SHAP algorithm was constructed to quantify the importance of each influencing factor. ResultsAmong 9 329 patients， 8 446 demonstrated medication adherence， yielding an adherence rate of 90.53%. Multivariable analysis identified several risk factors significantly associated with medication non-adherence， being unmarried （OR=1.237， 95% CI： 1.019–1.502） or divorced （OR=1.389， 95% CI： 1.038–1.832）， a diagnosis of mental retardation with psychiatric disorders （OR=3.025， 95% CI： 2.402–3.796） or paranoid psychosis （OR=5.117， 95% CI： 3.086–8.299）， a disease duration of 2–4 years （OR=1.355， 95% CI： 1.085–1.696）， 4–6 years （OR=2.143， 95% CI： 1.671–2.747）， or >6 years （OR=1.681， 95% CI： 1.365–2.079）， lack of guardian subsidies （OR=1.412， 95% CI： 1.099–1.801）， absence of a disability certificate （OR=1.900， 95% CI： 1.588–2.282）， not being enrolled in care and support groups （OR=1.384， 95% CI： 1.183–1.617） or community services （OR=1.313， 95% CI： 1.042–1.645）， and not cohabiting with a guardian （OR=1.257， 95% CI： 1.048–1.501）. Conversely， the enrollment in special outpatient disease programs （OR=0.716， 95% CI： 0.609–0.842） and a family history of mental illness （OR=0.713， 95% CI： 0.503–0.982） were identified as protective factors. The XGBoost model exhibited robust predictive performance， with a sensitivity of 0.433， specificity of 0.944， accuracy of 0.891， Area Under the Curve （AUC） of 0.837， and F1 value of 0.449. Feature importance ranking indicated that the top three factors were disease duration， diagnosis， and the acquisition of disability certificates. ConclusionPolicy-based support （acquisition of disability certificates， special outpatient disease enrollment） and clinical disease characteristics （disease duration， diagnosis type） are key factors affecting medication adherence among patients with severe mental disorders in Zhuhai City. ［Funded by Zhuhai Medical Research Project （number， 2220009000281）］

Objective: To identify the latent class characteristics of health literacy and related factors among junior high school students, so as to provide evidence for developing precise and systematic health literacy promotion strategies. Methods: In November 2024, a two stage random cluster sampling method was used to conduct a questionnaire survey among 8 933 junior high school students in Zhongshan. Health literacy was assessed across six dimensions: health behavior and lifestyle, disease prevention and control, mental health, growth development and puberty health, safety emergency and risk avoidance, and medical knowledge and appropriate healthcare utilization. Latent profile analysis was used to identify distinct health literacy classes, and multinomial Logistic regression was applied to analyze the related factors. Results: Three latent classes of health literacy among junior high school students were identified: the well balanced type(71.7%，6 406), the medical knowledge deficit type(22.3%，1 992), and the overall low literacy type(6.0%，537). Logistic regression analysis showed that girls had lower risks of belonging to the medical knowledge deficit type( OR =0.53, 95% CI =0.48-0.59) and the overall low literacy type( OR =0.27,95% CI =0.22-0.33) compared with boys(both P <0.05). Students in rural schools had the highest risks of belonging to these two profiles above [ OR (95% CI ) =1.89 (1.61-2.21), 3.18 (2.50-4.06),both P <0.05]. Junior high school students having ≥2 siblings were positively associated with belonging to these two profiles, with risks 1.60 (95% CI = 1.35-1.89) and 2.25 times (95% CI =1.66-3.05) higher than those of only children (both P <0.05). Junior high school students with parental education of bachelor s degree or above were associated with lower risk of belonging to the medical knowledge deficit type (father: OR =0.63, 95% CI =0.47-0.84; mother: OR =0.68, 95% CI = 0.52 -0.90,both P <0.05). Junior high school students with receiving health education courses ≥3 times per month were associated with lower risks of belonging to both the medical knowledge deficit type and overall low literacy type ( OR =0.51, 95% CI =0.43- 0.60 ; OR =0.33, 95% CI =0.25-0.42, both P <0.05). Conclusions Three latent classes of health literacy exist among junior high school students in Zhongshan. Targeted interventions should be implemented based on profile characteristics, with an emphasis on strengthening medical knowledge education and providing comprehensive support for vulnerable groups.

Objective: To examine the characteristics of physical activity among secondary vocational school students and its associations with depressive symptoms, anxiety symptoms, and their co-existence, so as to provide evidence for promoting their mental health. Methods: From September to December 2024, a questionnaire survey was conducted on 5 141 secondary vocational school students using convenience sampling method across 16 secondary vocational schools in 8 provinces/municipalities, including Fujian, Chongqing, Guangdong, Guangxi, Hubei, Jiangxi, Shanghai and Zhejiang. A self designed questionnaire, International Physical Activity Questionnaire Short Form, Patient Health Questionnaire-9 and Generalized Anxiety Disorder Scale-7 were used to assess basic information, physical activity characteristics, and depressive and anxiety symptoms. Chi-square test and Logistic regression model were used to analyze the associations of physical activity characteristics with depressive symptoms, anxiety symptoms, and their co-existence. Results: Among secondary vocational school students, 22.2% had depressive symptoms, 12.2% had anxiety symptoms, and 10.5% had both conditions. After adjustment for confounding factors such as sex, grade, and family structure, Logistic regression analyses showed that a high physical activity level, meeting the recommendation for daily moderate to vigorous physical activity (MVPA), and a concentrated physical activity pattern were associated with lower odds of depressive symptoms, anxiety symptoms, and their co-existence ( OR =0.70-0.81, all P <0.05). Regular weekly MVPA and a regular physical activity pattern were associated only with lower odds of depressive symptoms ( OR =0.79, 0.70, both P <0.05). Sex stratified analyses showed that meeting the recommendation for daily MVPA and a concentrated physical activity pattern were associated with lower odds of depressive symptoms, anxiety symptoms, and their co-existence among boys ( OR =0.60-0.71); a high physical activity level, regular weekly MVPA, and a regular physical activity pattern were associated with lower odds of depressive symptoms among boys ( OR =0.65-0.78)(all P <0.05). Meanwhile, a high physical activity level, meeting the recommendation for daily MVPA, regular weekly MVPA, and regular and concentrated physical activity patterns were associated with lower odds of depressive symptoms in female students ( OR =0.72-0.79) (all P <0.05). Conclusions Physical activity characteristics are associated with depressive symptoms, anxiety symptoms, and their co-existence among secondary vocational school students. Schools should optimize physical activity promotion strategies according to sex specific characteristics to reduce the occurrence of depressive and anxiety symptoms among secondary vocational school students.

Abstract Children s emotional and behavioral problems are characterized by a relatively high incidence, concealed manifestations, and a potential correlation with an increased risk of subsequent mental disorders. These problems have a sustained impact on children s social-emotional development, learning adaptation, and peer relationships. The study reviews the main influencing factors and their mechanisms of action regarding children s emotional and behavioral problems from three levels:individual, family, and social. Under a multi-level integrated perspective, it deepens the understanding of these mechanisms and proposes that future efforts should focus on factors such as improving physical fitness, enhancing sleep, and reducing sedentary behavior. Furthermore, it suggests strengthening collaborative interventions among schools, families, and communities to promote the early prevention of childrens emotional and behavioral problems and support their healthy development.

ObjectiveTo improve the quality and service performance of community visual health services in Shanghai, and to establish a set of reasonable and effective evaluation index system for community visual health services. MethodsCentered on the national and Shanghai-based visual health policies and based on the current status and development trends of community visual health service program in Shanghai, the candidate indicators were formed through literature review and expert interviews, firstly. The framework of an evaluation index system was formulated through qualitative research successively, which was further revised and perfected using the Delphi method. Coefficient weights were calculated using the analytic hierarchy process (AHP), culminating in the establishment of the community visual health evaluation index system, lastly. ResultsA total of 22 visual health experts from district-level center for disease control, hospital ophthalmology and leaders in charging of visual health service in community health centers participated in the Delphi questionnaire survey, with a questionnaire recovery rate of 100% and an expert authority coefficient of 0.86, indicating high credibility. After a round of correspondence to experts’ importance ratings and discussions, a comprehensive evaluation index system comprising 3 primary indicators, 12 secondary indicators, and 47 tertiary indicators, along with 5 additional indicators, was finalized. ConclusionAn index system tailored to effective evaluation for community visual health initiatives was drawn up in this study, which can promote the capacity building in community eye health services, facilitating the high-quality development of visual health courses, and enhancing residents’ eye health.

OBJECTIVE: To report the blood group antigen and antibody specificity identification methods for a patient with high-frequency antibodies, and the process of finding and providing compatible blood for the patient. METHODS: A patient sent from the Blood Transfusion Department of Shanxi Provincial People's Hospital to Blood Transfusion Technology Research Laboratory of Taiyuan Blood Center in November 2022 was selected for the study. Classical serological methods were used to determine the patient's blood type, screen for unexpected antibodies, identify antibodies, and perform crossmatching. High-frequency antibody identification was carried out using red blood cells treated with various enzymes. Blood group genotyping was conducted using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF) and Sanger sequencing. Multiple strategies were employed to address the patient's blood source problem. The study was approved by the Medical Ethics Committee of Taiyuan Blood Center [Ethics No. 2024 Ethics Review No.(2)]. RESULTS: The patient's blood type was B, RhD positive. Initial screening of the patient's serum with multiple screening cells and antibody identification cells in saline medium was negative, but positive in antiglobulin medium. The patient's serum showed varying reaction intensities with red blood cells treated with different enzymes. MALDI-TOF mass spectrometry and Sanger sequencing revealed a homozygous nonsense variant c.376C>T (p.Gln126Ter) in the ABCG2 gene, resulting in the Jr(a-) phenotype. During family donor selection, the patient's son was found to have a heterozygous variant c.376C>T (p.Gln126Ter), and another heterozygous variant c.421C>A (p.Gln141Lys), which predicted a Jr(a+w) phenotype. Crossmatch tests confirmed the compatibility of blood from the patient's son, which was used to address the urgent blood requirement. Later, rare blood from a Jr(a-) donor from the Guangzhou Blood Center was used for the patient's ongoing treatment, saving the patient's life. CONCLUSION Combining classic serological testing with blood group gene typing techniques successfully identified the rare Jr(a-) blood type and high-frequency anti-Jra antibodies. Enzyme-treated red blood cell identification methods confirmed the presence of anti-Jra antibodies. By searching within the family and seeking help from other blood centers, compatible blood was found. This approach may provide insights for resolving similar complex blood matching problems in the future.
Humans ; Blood Grouping and Crossmatching/methods* ; Blood Group Antigens/immunology* ; Blood Transfusion ; Male ; Isoantibodies/blood* ; Female ; Genotype

OBJECTIVE: To explore the regulatory mechanisms underlying the weak expression of ABO blood group antigens due to variants in the non-coding regions of the ABO gene. METHODS: From June 2014 to October 2023, a total of 29 samples from the Taiyuan Blood Center and local hospitals, which were serologically identified as having weak ABO antigen expression without detectable coding region mutations, were selected for this study. Full-length ABO gene sequencing was performed using third-generation long-read sequencing technology (Pacific Biosciences) to obtain complete haplotype sequences of the ABO gene. Variants in the non-coding regions were compared and identified to infer their regulatory effects on weak antigen expression. The procedures followed in this study were in accordance with the ethical standards of the World Medical Association's Declaration of Helsinki (2013 revision). The Medical Ethics Committee of Taiyuan Blood Center has granted an exemption from ethical review. RESULTS: 18 bp deletions in the -35 to -18 region of the promoter were identified in 7 samples. Variants in intron 1 (+5.8 kb) were detected in 7 samples, including ABO*A (28+5792_5793delCT (1 case) and ABO*B (28+5793T>C) located in the GATA binding region; ABO*B (28+5808C>T) (1 case) in the E-box region; and ABO*B (28+5875C>T) (4 cases) in the RUNX1 binding region. Nucleotide variants at splice sites were detected in 2 samples, namely ABO*B (C.98+1G>A) and ABO*B (C.204-2A>C). CONCLUSION Variants in the non-coding regulatory sequences of the ABO gene are a significant factor contributing to weak ABO antigen expression. In clinical ABO sequencing, it is essential to screen not only the conventional coding regions but also the flanking sequences, introns, and splice sites of the ABO gene to facilitate precise blood transfusion.
ABO Blood-Group System/genetics* ; Humans ; Alleles ; Promoter Regions, Genetic ; Haplotypes ; Introns

Objective:To observe the diuretic effects of Zhuling Decoction on mice with adriamycin nephropathy (ADRN); To explore its mechanism.Methods:Totally 32 SPF male C57BL/6 mice were divided into a blank group of 7 mice and a model group of 25 mice using a random number table method. ADRN model was prepared by single tail vein injection of 0.01 g/kg of amphotericin. Two weeks later, the successfully modeled mice were divided into a model group (7 mice), a furosemide group (8 mice), and a Zhuling Decoction group (8 mice). The blank group and model group mice were given equal volumes of injection water by gavage. The furosemide group was given 2.6 mg/kg of furosemide by gavage, and the Zhuling Decoction group was given 6.5 g/kg of Zhuling Decoction by gavage, once a day, for 8 consecutive weeks. Changes in body weight and urine output of mice were observed. A biochemical analyzer was used to detect 24-hour urinary protein quantification and blood potassium and SCr levels in mice. HE staining was used to observe pathological changes in mouse kidneys, and immunohistochemistry and Western blot were used to detect the homology of cyclin dependent kinase 18 (CDK18), STIP1, and the expressions of U-box protein 1 (STUB1) and aquaporin 2 (AQP2) in mouse kidney tissue cells.Results:Compared with the model group, both the furosemide and Zhuling Decoction groups exhibited increased 24-hour urine output ( P<0.05); compared with the model group and furosemide group, Zhuling Decoction group showed reduced average optical density values and protein expressions of CDK18 and AQP2 ( P<0.05) and increased STUB1 average optical density value and protein expression ( P<0.05). Conclusion:Zhuling Decoction can increase 24-hour urine output in ADRN mice, and the mechanism may be related to down-regulation of CDK18 and AQP2 protein expressions and up-regulation of STUB1 protein expression, thereby modulating the CDK18/STUB1/AQP2 pathway and reducing water reabsorption.

Objective To investigate the value of quantitative parameters of diffusion weighted imaging(DWI)based on mono-expo-nential model(MEM),diffusion kurtosis imaging(DKI)model,and stretched-exponential model(SEM)in predicting the efficacy of neoadjuvant therapy in locally advanced gastric cancer(LAGC).Methods Forty LAGC patients who underwent MRI examinations before neoadjuvant therapy and before radical surgery were prospectively enrolled.A radiologist delineated lesions on DWI images and acquired quantitative parameters before and after treatment,including lesion volume,apparent diffusion coefficient(ADC)of MEM,mean diffusivity(MD)and mean kurtosis(MK)of DKI model,distribution diffusion coefficient(DDC),and α of SEM.According to pathological tumor regression grade(TRG),the patients were stratified into good response group(TRG 0-1)and poor response group(TRG 2-3).The pre-treatment parameters and Δ of pre-and post-treatment parameters were compared between the two groups with Mann-Whitney U test;multivariate analysis was performed with binary logistic regression.Multiple DWI models and the combined model were established,and the prediction efficiency of each model was calculated.Results There was no significant differ-ence in each parameter before neoadjuvant therapy between the two groups(P>0.05).The delta of volume,ΔADC,ΔMD,and ΔDDC pre-and post-treatment were all statistically different between the two groups(P<0.05).The area under the curve(AUC)of ΔADC,ΔMD,and ΔDDC in predicting good response for LAGC were 0.900,0.806,and 0.762,respectively.The AUC of the combined model was 0.946.Conclusion Quantitative parameters of MEM,DKI model,and SEM can help predict the efficacy of neoadju-vant-treated LAGC patients.