Objective: To explore the association between takeout fast foods and sugar sweetened beverage consumption with co-occurrence of anxiety and depressive symptoms among first year junior high school students in Yunnan Province, so as to provide theoretical basis for the prevention of anxiety and depressive symptoms co-occurrence among adolescents. Methods: A random cluster sampling involving 8 500 first year junior high school students in 11 counties in Yunnan Province was conducted by a questionnaire survey from October to December 2022. The Depression Anxiety Stress Scale-21 (DASS-21) was applied to assess anxiety and depressive symptoms in first year junior high school students. Chi-square test was used to compare the anxiety-depression co-occurrence symptoms of first year junior high school students with different demographic characteristics. The association between takeout fast foods and sugar sweetened beverage consumption with co-occurrence of anxiety and depressive symptoms of adolescents was analyzed by binary Logistic regression models. Results: The detection rate of co-occurrence of anxiety and depression symptoms among first year junior high school students in Yunnan Province was 26.92%. After controlling for demographic variables and other confounders, takeout fast foods and sugar sweetened beverage consumption( OR=1.50, 95%CI =1.27-1.77) was associated with anxiety-depression co-occurrence symptoms among first year junior high school students in Yunnan Province ( P <0.01). Stratified analysis showed that both Han ( OR=1.37, 95%CI =1.07-1.77) and ethnic minorities ( OR=1.60, 95%CI =1.29-2.00) exhibited statistically significant associations between takeout fast foods and sugar sweetened beverage consumption with co-occurrence of anxiety and depressive symptoms(both P <0.05). Conclusions Takeout fast foods and sugar sweetened beverage consumption increases the risk of co-occurrence of anxiety and depressive symptoms among first year junior high school students in Yunnan Province. It is recommended to strengthen guidance on the consumption of such products among junior high school students to prevent co-occurrence of anxiety and depressive symptoms.

Objective: To explore the effects of personality and sleep quality with psychological distress of junior and senior high school stduents, so as to provide a reference basis for precise interventions of junior and senior high school students mental health. Methods: In October 2023, a convenience sampling method was used to select 9 034 students aged 12-17 from Shiyan City as the study subjects. The Pittsburgh Sleep Quality Index (PSQI) and Kessler Psychological Distress Scale (K10) were used to collect information on sleep quality and psychological distress of junior and senior high school stduents. Between group comparison was conducted by using t-test and Chi-square test. Generalized linear models were employed to analyze the interaction and joint effects of personality and sleep quality on psychological distress. Results: The generalized linear model analysis showed that the interaction between personality and sleep quality on psychological distress was statistically significant of junior and senior high school students(effect size=0.80, P <0.01). The general linear model analysis indicated that, after adjusting for variables such as age, gender, screen time, and daily sitting time with the extroverted and good sleep quality group as the reference, the introverted and poor sleep quality group had the largest mean difference in psychological distress scores (difference=0.51, P <0.05). When stratified by sleep quality, psychological distress scores were higher in the introverted and neutral personality groups with both poor and good sleep quality compared to the extroverted group (poor sleep quality: introverted difference=3.71, neutral difference=1.14; good sleep quality: introverted difference=2.23, neutral difference=0.57, all P < 0.05). When stratified by personality, psychological distress scores were higher in the poor sleep quality groups for introverted, neutral, and extroverted individuals compared to their good sleep quality counterparts (differences=8.66, 7.83, 7.34, all P < 0.05 ). Conclusions Personality and sleep quality have interactive and joint effects on psychological distress of junior and senior high school stduents. Personalized psychological interventions should be developed based on personality and sleep quality.

Objective: To investigate the prevalence of overweight and obesity among children and adolescents in Yangzhou City, and its association with screen behaviors, so as to provide scientific evidence for weight management among students. Methods: In May 2025, an electronic questionnaire survey was conducted among children and adolescents in Yangzhou City. A total of 3 722 participants were selected from grades 4 to 12 in 18 primary and secondary schools (108 classes) by using stratified cluster random sampling. The Chi square test was used to compare the differences in the detection rates of overweight and obesity among children and adolescents with 5 types of screen behaviors (watching TV, playing electronic games, scrolling short videos, screen based learning, electronic socializing) in different time groups each day (never, >0~<2 h, ≥2 h). Multivariate Logistic regression analysis was performed to examine the associations of five types of screen behaviors, presence of electronic devices in the bedroom, and screen use during meals on the weight status of children and adolescents. Results: The prevalence of overweight and obesity among children and adolescents was 37.3%. For all five types of screen behaviors, the differences in the distribution of overweight and obesity detection rates among children and adolescents across the three time spent categories were statistically significant ( χ 2=30.76- 70.78 , all P <0.01). After adjusting for confounding factors, multivariate Logistic regression analysis revealed that frequent or always using screens during meals( OR =1.63, 95％ CI =1.14~2.31), playing video games ( OR =1.28, 95% CI =1.11-1.48), browsing short videos ( OR =1.29, 95％ CI=1.09-1.54), and screen based learning ( OR =1.26, 95％ CI =1.10-1.44) were significantly associated with overweight and obesity among children and adolescents (all P <0.05). Conclusions Excessive screen use is positively correlated with the incidence of overweight and obesity in children and adolescents. Targeted interventions on screen behaviors among children and adolescents are therefore warranted.

Objective: To analyze the prevalence and determinants of comorbid overweight/obesity and elevated blood pressure among primary and secondary school students in Yangzhou City, and to explore the association between sleep patterns, eating behavior and the comorbidity of overweight/obesity and elevated blood pressure, so as to provide reference for developing prevention strategies targeting common comorbidities in students. Methods: By using stratified cluster random sampling, a total of 8 735 primary and secondary school students were selected from 36 schools in six counties of Yangzhou from October to November 2023. Students underwent physical examinations and a questionnaire survey was conducted using the questionnaire on students health status and influencing factors. The Chi square test was used to compare the detection rate of comorbid overweight/obesity and elevated blood pressure in different groups of primary and secondary school students. The Logistic regression model was used to explore the association between sleep and dietary behaviors and their combined effects and coexistence. Results: The detection rate of comorbid overweight/obesity and elevated blood pressure among primary and secondary school students in Yangzhou was 9.85%, which was higher among boys (12.14%) than girls (7.59%)( χ 2=50.86, P <0.01). After controlling for gender, residence, educational stage, parental education, smoking, drinking, and moderate to vigorous exercise, multivariate Logistic regression analysis showed that irregular breakfast consumption and inadequate daily sleep were associated with a higher risk of comorbidities compared with regular breakfast consumption and adequate daily sleep among overall and primary school students (overall: OR =1.52, 95% CI =1.18- 1.96 , primary school students: OR =2.79, 95% CI =1.61-4.82)(both P <0.05). From the perspective of primary school students of different genders, the risk of comorbidities in girls who consumed breakfast irregularly and had inadequate daily sleep was 3.59 times higher than that in girls who consumed breakfast irregularly and had inadequate daily sleep (95% CI =1.65-7.82, P <0.01). Conclusion The sleep patterns and breakfast behaviors of primary and secondary school students are found to be associated with comorbid overweight/obesity and elevated blood pressure, especially in primary school girls.

The compilation instructions for the Expert Consensus on Clinical Application of Yifei Zhike Capsules systematically expound the development background， methodological framework， and core achievements of this consensus. In view of the problems existing in the clinical application of Yifei Zhike Capsules， such as insufficient efficacy evidence and lack of standardized syndrome differentiation， the Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences took the lead and collaborated with 21 tertiary grade-A hospitals and research institutions across China to form a multidisciplinary expert group （comprising 30 experts in clinical medicine， pharmacy， and methodology）. The compilation work was carried out in strict accordance with the World Health Organization （WHO） guidelines， the GB/T 1.1-2020 standard， and the writing specifications for the explanatory notes of expert consensus on clinical application of Chinese patent medicines. Through systematic literature retrieval （including 32 studies， with 24 clinical studies）， Grading of Recommendations Assessment， Development and Evaluations （GRADE）-based evidence grading， and multiple rounds of discussions using the nominal group method （25 experts voted to determine 17 clinical questions）， 5 evidence-based recommendations and 11 expert consensus suggestions were formed. It is clarified that this medicine （Yifei Zhike Capsules） is applicable to the treatment of expectoration/hemoptysis in acute and chronic bronchitis and the adjuvant treatment of pulmonary tuberculosis. It is recommended that it can be used alone or in combination with anti-tuberculosis drugs. The safety evaluation shows that this medicine mainly induces the following adverse reactions： mild gastrointestinal reactions （such as nausea and abdominal pain） and rashes. The contraindicated populations include pregnant women and women during menstruation. The compilation process of the consensus underwent three rounds of expert letter reviews， two rounds of peer reviews， and quality control assessments to ensure methodological rigor and clinical applicability. In addition， through policy alignment， academic promotion， and a dynamic revision mechanism， the standardization of clinical application was promoted， providing a demonstration for the evidence-based transformation of characteristic therapies of Miao medicine.

Objective To explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.

ObjectivesTo investigate the molecular epidemiological characteristics of HIV-1 infection among men who had sex with men (MSM) in Taizhou City, Zhejiang Province, and to provide a scientific reference for acquired immune deficiency syndrome prevention and control efforts. MethodsThe research subjects were all newly reported MSM population in Taizhou City from 2020 to 2023. Blood samples without antiviral therapy were collected. The HIV-1 pol gene was amplified and sequenced, and the sequences were submitted to the Stanford University drug resistance database to identify the mutation sites and drug resistance. MEGA 11.0 software was used to analyze the nucleic acid sequences, construct phylogenetic tree, and calculate genetic distance of gene sequences. The molecular transmission network diagram of HIV-1 was constructed using Cytoscape_v3.10.1, and the influencing factors of network entry were analyzed by logistic regression. ResultsA total of 363 newly reported HIV-infected MSM patients were included, with a median age [M (P₂₅, P₇₅)] of 34 (26,47) years old. The majority had an educational level of junior high school or below (55.65%). A total of eight subtypes were found, mainly CRF07_BC and CRF01_AE. The primary drug resistance rate was 10.47% (38/363). The optimal molecular network gene distance was 0.019, with a network access rate of 42.70% (155/363), and a total of 47 molecular clusters were formed. Multivariate logistic analyses showed that compared with the CRF01_AE subtype, the clustering risk of CRF07_BC subtype was higher (OR=1.916, 95%CI: 1.191‒3.109), cases with drug resistance had a higher risk of cluster formation than those without drug resistance (OR=2.011, 95%CI: 1.006‒4.080), and recent infected patients had a lower risk of entering the largest molecular cluster than long-term infected patients (OR=0.376, 95%CI: 0.137‒0.928). ConclusionThe newly diagnosed infections among the MSM population are active in Taizhou City, Zhejiang Province, with a high level of primary drug resistance. Individuals carrying drug-resistant strains are more likely to cluster. Drug resistance monitoring should be strengthened to prevent further spread of drug-resistant strains in the network.

Objective: To investigate the precise detection methods for weak partial D type 15 and evaluate their implications for blood transfusion safety, along with the development of corresponding strategies. Methods: A combination of serological methods, including the microplate method, indirect antiglobulin tube method, and microcolumn gel card method, was employed to identify RhD-negative and RhD variant samples. RhD-negative samples were screened for the presence of RHD genes using whole-blood direct PCR amplification. Subsequently, RhD variant samples and RhD-negative samples containing RHD genes underwent full-coding-region sequencing of the RHD gene to confirm their genotypes. The genotyping results were further correlated with the serological test findings for comprehensive analysis. Results: Among 615 549 first-time healthy blood donors, 3 401 samples with an RhD-negative phenotype and 156 samples with RhD variant were identified. Of the 3 401 RhD-negative samples, 1 054 were found to harbor RHD genes. Gene sequencing analysis of the 156 RhD variants and the 1 054 serological negative samples revealed that 89 samples contained the RHD 15 (c. 845G>A) allele. Conclusion: The integration of serological testing methods and genotyping technologies for the precise determination of RhD blood type plays a critical role in ensuring the safety and compatibility of blood transfusions.

Objective: To analyze the disease burden of chronic obstructive pulmonary disease (COPD) and changes in its risk factors among residents in Zhejiang Province from 1990 to 2021, so as to identify key priorities for COPD prevention and control. Methods: Data on COPD mortality and disability-adjusted life years (DALY) for residents in Zhejiang Province from 1990 to 2021 were collected from the Global Burden of Disease (GBD) 2021 database. Standardized mortality and standardized DALY rate were calculated using the GBD 2021 world population standard structure. Premature mortality was computed via the life table method. The average annual percent change (AAPC) was applied to analyze trends in COPD mortality, DALY rate, and premature mortality. Changes in deaths of COPD risk factors were evaluated using population attributable fraction (PAF). Results: From 1990 to 2021, the standardized COPD mortality in Zhejiang Province decreased from 272.40/100 000 to 70.56/100 000 (AAPC=-4.395%), and the standardized DALY rate declined from 4 167.37/100 000 to 1 071.89/100 000 (AAPC=-4.396%). Similar downward trends were observed in both males (AAPC=-3.933%, -4.173%) and females (AAPC=-4.785%, -4.480%), all P<0.05. Crude mortality and DALY rates increased with age, and the crude mortality and DALY rates of various age groups in Zhejiang Province showed decreasing trends from 1990 to 2021 (all P<0.05). The premature mortality declined from 4.37% to 0.60% from 1990 to 2021 (AAPC=- 6.206%), with consistent trends across males and females (AAPC=- 6.144%, - 6.379%, all P<0.05). From 1990 to 2021, particulate matter pollution showed the largest reduction in PAF (- 56.76%), while ambient ozone pollution had the largest increase (103.07%) in Zhejiang Province. By 2021, smoking became the leading risk factor for deaths of COPD (PAF=43.32%). Conclusions The standardized mortality, standardized DALY rate, and premature mortality for COPD show consistent declining trends in Zhejiang Province from 1990 to 2021. However, risk factors such as smoking and ambient ozone pollution require intensified focus to further reduce disease burden of COPD.

Objective To analyze the epidemiological characteristics and immunization history of pertussis cases in Yichang City, Hubei Province from 2018 to 2023. Methods Data on the incidence and immunization history of pertussis cases were collected in Yichang City from 2018 to 2023, and the epidemiological characteristics was analyzed and described. Results A total of 109 cases of pertussis were reported in Yichang from 2018 to 2023, and the annual average reported incidence rate was 0.45/100,000. The incidence rate reported in each year was between 0～1.58/100,000. The area with the highest annual reported incidence rate was Xiling District (1.19/100,000). There was a statistically significant difference in the incidence rate between different years (χ²=208.26, P < 0.001). The annual reported incidence rate showed a significant increasing trend (χ² trend =125.71, P < 0.001). The ratio of male to female cases was 1.22. There was no significant difference in the annual reported incidence rates between males and females (χ²=0.85, P=0.36). Children aged 3-9 years accounted for 60.55%. Students and scattered children accounted for 45.87% and 36.70%, respectively. Before the onset of the disease, 72.48% had a history of immunization with pertussis-containing vaccine, and 27.52% had no history of immunization. The shortest interval between the last dose of pertussis-containing vaccine and the onset of the disease was 8 days, the longest was 4057 days, and the median was 1882 days. Conclusion From 2018 to 2023, the reported incidence of pertussis in Yichang City has been on the rise, with the majority of cases occurring in children and students under the age of 9. It is recommended to strengthen pertussis disease monitoring.