Objective: To quantitatively assess the health risk of preservatives from beverages around primary schools in Anshun City, and to provide scientific basis for precise food safety supervision. Methods: From December 2023 to July 2024, 602 beverage samples were randomly collected from within 100 meters of 19 primary schools in Anshun City. The content of benzoic acid, sorbic acid, and dehydroacetic acid was detected according to GB 5009 series standards. Combined with children s physiological parameters (body weight 30 kg, daily intake 0.15 L), the Hazard Quotient (HQ) and Hazard Index (HI) models were used to evaluate health risks. Results: The total detection rate of preservatives from beverages around primary schools was 63.0%, and the total over limit rate was 9.0%. The detection rate of preservatives in flavored beverages was the highest (72.6%), and the highest over limit rate of preservatives in special purpose beverages was the highest (17.2%). The single preservative HQ (benzoic acid up to 0.47 ) and mixed HI (up to 0.55) of all samples were below 1(safety threshold). However, the HQ value of benzoic acid in flavored beverages (0.47) was 2.9 times that of sorbic acid (0.16), contributing significantly to health risk. Sensitivity analysis showed that if the daily consumption increased to 0.3 L, the HI value of flavored beverages would rise to 1.11, exceeding the safety threshold. Enterprise scale analysis showed that the exceedance rate of special purpose beverages in large enterprises reached 30.0%, while micro enterprises, accounting for a dominant market share (52.2%), constituted the main source of children s daily exposure to their products. Conclusions The overall health risk of perservatives in beverages sold near primary schools in Anshun City is controllable, but there is a noticeable risk of gradient. The risk of children’s exposure to preservatives through beverage consumption should not be ignored.

Objective: To explore the latent class characteristics of depressive symptoms in adolescents and their association with sleep quality and psychological resilience, so as to provide references for identifying high risk groups and developing tiered intervention strategies. Methods: From March to May 2024, 3 155 students from grade 5-9 of five primary and secondary schools in Shihezi and Changji, Xinjiang, were selected via convenience sampling. Anonymous self report questionnaires were administered using 10 item Center for Epidemiological Studies Depression Scale (CES-D-10), 10 item Connor-Davidson Resilience Scale (CD-RISC-10), and Pittsburgh Sleep Quality Index (PSQI). Latent profile analysis (LPA) was conducted for depressive symptoms, and multivariate Logistic regression models were used to examine associations of latent classes with sleep quality and psychological resilience of adolescents. Results: The CES-D-10 score of adolescents was 7.0 (4.0, 12.0) , and the PSQI score was 5.0 (3.0, 7.0). LPA identified four subgroups: low depressive symptom group (57.7%), moderate depressive-typical symptom group (15.2%), moderate depressive-functional retention group (16.6%) and high depressive symptom group (10.5%). Logistic regression revealed that compared to the low symptom group, moderate depressive-typical symptom group, moderate depressive-functional retention group and high depressive symptom group exhibited poorer sleep quality ( OR =1.54,1.51,1.77) and lower psychological resilience ( OR =0.94,0.96,0.92) ( P <0.05). Conclusion Poor sleep quality and insufficient psychological resilience are universal risk factors for adolescent depression, with younger age associated with higher vulnerability.

Adenomyosis is a common gynecological disease characterized by the invasion of endometrial glands and stroma into the myometrium of uterus, the pathological mechanism of which remains unclear yet. Disturbed lipid metabolism extensively affects abnormal cell proliferation and invasion in various diseases. However, the lipidome signature of human myometrium, which could be crucial in the development of adenomyosis, remains unknown. In this study, we generated the first lipidome profiling of human myometrium using a high-coverage and quantitative lipidomics approach based on ultra-performance liquid chromatography (UPLC) coupled with triple quadrupole (QqQ)-mass spectrometry (MS). A total of 317 lipid species were successfully quantified in the myometrial tissues from women with (n = 38) or without (n = 65) adenomyosis who underwent hysterectomy at Peking Union Medical College Hospital (Bejing, China). Up to 83 lipid species showed significant alternations in content between the two groups. These lipid aberrations involved multiple metabolic pathways, and emphasized inflammation, cell migration, and immune dysregulation upon adenomyosis. Moreover, receiver operating characteristic (ROC) curve analysis found that the combination of five lipid species could accurately distinguished the myometrial samples from women with and without adenomyosis with an area under the curve (AUC) of 0.906. Desorption electrospray ionization MS imaging (MSI) further underscored the heterogeneous distributions of these lipid markers in the adenomyosis lesion and adjacent myometrial tissue. Collectively, these results extremely improved our understanding on the molecular basis of adenomyosis, and could shed light on developing potential biomarkers and new therapeutic directions for adenomyosis.

Objective To establish a scientific, comprehensive, and operable community resilience evaluation index system for emergent major infectious diseases. Methods Based on the social ecosystem theory, a preliminary evaluation index system was formed by using content analysis and boundary analysis. The index system was then supplemented and revised through panel discussions. The final index system and index weights were clarified by two rounds of Delphi method. Results The expert positive coefficient, expert authority coefficient, and expert coordination coefficient of the two rounds of expert consultations were examined. According to the screening principle of the ^“threshold method^”, the indicators were screened, and the weights of each indicator were determined in the second round of Delphi expert consultation. The analysis of the reliability of the indicator system showed Cronbach's α= 0.399 , indicating that the indicator system had a relatively high reliability. Factor analysis was carried out on 7 primary indicators, and the measure of sampling adequacy (MSA) values were all greater than 0.5, which passed the validity test. Conclusion A set of evaluation index system that can accurately reflect the resilience level of communities with emergent major infectious diseases has been constructed, including 7 primary indicators, 21 secondary indicators, 54 tertiary indicators, and 108 tertiary indicators, which has realized the quantitative evaluation of the hidden resilience level of communities.

Objective:To identify the risk factors for acute graft-versus-host disease (aGVHD) in patients with acute myeloid leukemia (AML) undergoing haploidentical hematopoietic stem cell transplantation (HID-HSCT) .Methods:A total of 141 AML patients who underwent HID-HSCT at the Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, from January 2020 to July 2021 were included. The cumulative incidence of aGVHD was analyzed using the Fine-Gray competing risk model, with relapse and death as competing events, to compare differences between groups. Potential risk factors were evaluated by univariable and multivariable Cox proportional hazards regression analyses to determine their independent effects on aGVHD.Results:Among the 141 patients, 86 (61.0%) were male and 55 (39.0%) were female, with a median age at transplantation of 34 years. Within 100 days post-transplant, 59 patients developed grade Ⅱ-Ⅳ aGVHD, whereas 86 patients experienced no or grade Ⅰ aGVHD (the grade 0-Ⅰ aGVHD group) . Survival analysis showed that the 3-year overall survival was 68.7% (95% CI: 57.7%-81.9%) in the grade Ⅱ-Ⅳ aGVHD group, compared with 78.8% (95% CI: 70.4%-88.3%) in the grade 0 - Ⅰ aGVHD group, with the difference not being statistically significant ( P=0.190) . Univariable analysis identified donor age ( P=0.020, HR=1.020, 95% CI: 1.000-1.040) and the female donor-male recipient sex combination ( P=0.033, HR=1.980, 95% CI: 1.160-3.380) as risk factors for grade Ⅱ-Ⅳ aGVHD. Multivariable analysis confirmed that donor age ( P=0.005, HR=1.026, 95% CI: 1.008-1.047) and the female donor-male recipient sex combination ( P=0.002, HR=2.339, 95% CI: 1.354-4.037) were independent risk factors for aGVHD. Patients receiving grafts from donors aged >45 years had a significantly higher 100-day cumulative incidence of grade Ⅱ-Ⅳ aGVHD compared with those receiving grafts from donors ≤45 years [54.7% (95% CI: 42.3%-67.0%) vs 31.6% (95% CI: 21.0%-42.1%) , P=0.006]. Similarly, patients with the female donor-male recipient sex combination had a higher 100-day cumulative incidence of grade Ⅱ-Ⅳ aGVHD than those with other sex combinations [56.8% (95% CI: 40.4%-73.1%) vs 36.9% (95% CI: 27.5%-46.3%) , P=0.015]. Conclusion:Older donor age and the female donor-male recipient sex combination remain independent risk factors for aGVHD in patients with AML undergoing HID-HSCT.

Objective:To carry out carrier screening among people of childbearing age, detect the pathogenic genes of monogenic genetic diseases and analyze the carrier status of pathogenic variants, so as to provide fertility guidance and intervention measures for high-risk families.Methods:From August 2022 to August 2023, 1 533 families of childbearing age who met the criteria were recruited in the Chinese PLA General Hospital, including a total of 3 044 subjects. According to the standard enrollment procedure, 223 genes (197 autosomal recessive genes and 26 X-linked genes) of the subjects were tested. According to the screening results, genetic counseling and fertility guidance were provided to the subjects. Invasive prenatal diagnosis was performed for high-risk couples (both couples being carriers of the same autosomal recessive disease gene or the woman was a carrier of X-linked disease gene), and their pregnancy pattern, outcome and offspring phenotype were followed up.Results:(1) A total of 3 044 cases from 1 511 couples and women of childbearing age from 22 families were included for carrier screening. Totally 1 503 families chose simultaneous screening and 30 families chose sequential screening out of the 1 533 families. Among the 3 044 subjects, 1 603 individuals carried at least one pathogenic or likely pathogenic variant, and the overall carrier rate was 52.66% (1 603/3 044). A total of 2 292 pathogenic or likely pathogenic variants were detected, and 0.75 variants (2 292/3 044) were detected per capita. (2) The three genes with the highest carrier rates were GJB2 (8.67%, 264/3 044), CYP21A2 (3.19%, 97/3 044) and PAH (3.09%, 94/3 044). There were 32 genes with a carrier rate ≥1/200, 17 genes with a carrier rate ≥1/100, and 7 genes with a carrier rate ≥1/50. (3) Thirty-eight high-risk families were identified. After excluding G6PD gene mutation, there were 33 high-risk families, of which 25 couples were carriers of the same autosomal recessive gene, 9 women were carriers of X-linked gene, and 1 family was double high-risk couple with both autosomal recessive and X-linked gene. After further excluding the GJB2 c.109G>A mutation, 21 high-risk families were identified. Preimplantation genetic testing for monogenic disease was performed in 12 families after genetic counseling. Prenatal diagnosis was completed in 4 out of 5 high-risk families who conceived naturally. Two fetuses carried the parental variants and terminated the pregnancy, one fetus did not carry the parental variants but was induced due to trisomy 21 syndrome, and one fetus was a carrier of congenital disorders of glycosylation type 1a.Conclusions:Carrier screening effectively identifies high-risk genetic disease families and provides reproductive guidance to prevent the birth of affected children. However, establishing multidisciplinary team is essential for managing complex cases. Implementation should prioritize prenatal institutions with genetic counseling or diagnostic expertise for monogenic disorders or established referral networks.

Objective To explore the experiences of children with Crohn's disease and their parents regarding the exclusion diet,and to provide a basis for formulating personalized dietary guidance programs.Methods A total of 12 children with Crohn's disease and their parents,hospitalized in the Department of Gastroenterology at a tertiary children's hospital in Guangzhou from June to December 2023,were selected as research subjects using objective sampling.Semi-structured interviews were conducted,and the data were analyzed and refined using Colaizzi's seven-step analysis method.Results Totally 3 themes and 14 sub-themes were extracted.①Lack of cognition and trust in Crohn's disease exclusion diet(unfamiliarity with the contents of the diet,misunderstanding of the diet's preparation,inadequate response to daily exclusion diet practices,parents' distrust in the exclusion diet).②The practical challenges of the Crohn's disease exclusion diet(the challenge of personal dietary preferences,the challenge of family meal preparation,the challenge of school feeding,food intolerance,feelings of monotony and weariness following the exclusion diet).③Innovations in practicing the Crohn's disease exclusion diet(managing taste fatigue,managing visual fatigue,innovative cooking methods,prioritizing exclusive enteral nutrition followed by the exclusion diet,overcoming the desire for universal food).Conclusion Children with Crohn's disease and their parents exhibit insufficient cognition and trust in the exclusion diet and face various challenges in practice.Clinical medical staff should adopt personalized coping strategies tailored to the specific circumstances of each child.

Objective To identify the key factors affecting the risk of medical surges and their coupling relation5 ships,providing strategic support for medical institutions to optimize risk management and emergency governance.Methods 17 influencing factors were determined based on WSR theory,and an expert scoring method was employed to assess the impact strength among the factors.The DEMATEL method was applied to calculate the centrality,cau5 sality,influence,and being influenced degrees of the influencing factors.The ISM method was used to construct a hierarchical structure of the influencing factors related to medical surge risks,thereby revealing the connections and interaction mechanisms among these factors.Results Seven critical influencing factors were identified,including the crisis decision-making capacity and leadership effectiveness of emergency managers,the completeness of the emer5 gency system and dynamic execution capabilities,and the cross-departmental coordination mechanism and com5 mand collaboration efficiency.Deep driving factors and coupling pathways were also revealed.Conclusion The risk of medical surges exhibits multi-factorial coupling cascade effects;attention should be directed towards the construc5 tion of mid-to-deep level mechanisms such as information systems,institutional frameworks,and organizational management,to enhance targeted capabilities and systemic resilience in risk governance.

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.

Objective To define the conceptual connotation of network dynamic collaboration capacity in medical surge response and construct its theoretical model.Methods A mixed concept analysis method was employed,integrating multidisciplinary literature and collecting empirical evidence through semi-structured expert interviews to extract the concept of network dynamic collaboration capacity in medical surge response.By integrating complex systems,network science,synergetics,and dynamic capability theory,and combining the interview results,the study used the analogy of flood control in hydraulic engineering to develop a"network-dynamic-collaboration"triangular capacity theoretical model.Results It reveals one antecedents(sudden external shocks have led to an abnormal and continuous surge in medical demand),six core attributes(information interconnection accessibility,dynamic resource adaptability,risk perception responsiveness,multi-party collaborative interactivity,service process adaptability elasticity,and learning iterative evolution),and four consequences(mitigation of crowding risk,protection of service continuity,minimization of crisis spillover,and enhancement of system resilience)for the network dynamic collaboration capacity in medical surge response.The theoretical model elucidates the coupling mechanisms among network structural resilience,dynamic regulation processes,and collaborative co-evolution in resisting medical surge.Conclusion The new concept and theoretical model proposed in this study deepen the understanding of medical surge response system mechanisms and offer a theoretical framework and practical guidance for strengthening the full-chain resilience of health emergency systems.