Objective: To investigate the factors influencing the co-prevalence of allergic rhinitis and obesity among primary and secondary school students in Inner Mongolia, so as to provide a data foundation and theoretical basis for developing targeted intervention measures. Methods: In September and October 2024, a stratified cluster random sampling method was employed to select 139 102 students from 539 schools across 12 leagues/cities and 103 banners/counties in Inner Mongolia Autonomous Region. Participants who were diagnosed with allergic rhinitis by a doctor at least once within one year and had a body mass index ≥ 28 kg/m 2 were considered to have comorbid conditions. Results: The coprevalence rate of allergic rhinitis and obesity among primary and secondary school students in Inner Mongolia was 6.4% (8 931 cases). Lasso-Logistic regression revealed that nonboarding status, higher maternal education, consuming high protein foods ≥1 time daily, occasionally or never eating breakfast, engaging in moderate to vigorous physical activity for ≥60 minutes on fewer than half of holidays, and having been exposed to second hand smoke in person within the past seven days were associated with higher odds ratios for co-prevalence of allergic rhinitis and obesity( OR = 1.23 , 1.22-1.63, 1.20, 1.19, 1.38, 1.35); being female, higher grade level, residence in flag/county/district areas, non only child status, never having consumed a full glass of alcohol, non hypertensive status, and households without pets were associated with lower co-prevalence risks ( OR =0.65, 0.67-0.77, 0.81, 0.87, 0.73, 0.41, 0.68) (all P <0.05). The ROC curve indicated an area under the curve of 0.64 for the predictive model, demonstrating satisfactory discriminatory ability. The calibration curve showed consistency between predicted and actual occurrence probabilities. Conclusions The co-prevalence of allergic rhinitis and obesity among primary and secondary school students in Inner Mongolia is closely associated with demographic characteristics, dietary behaviours, and lifestyle habits. Future prevention and control strategies should prioritize these factors to implement targeted interventions.

Antimicrobial resistance (AMR) poses a critical global health threat. This review systematically examines AMR surveillance technology advances, from conventional culture methods to modern molecular diagnostics (e.g., whole-genome sequencing) and artificial intelligence-assisted approaches. It focuses on the current application of mass spectrometry, machine learning predictive models, and real-time surveillance networks. To address challenges including inadequate technical standardization, clinical translation barriers, and data-sharing limitations, we propose integrated ^"genotype-phenotype^" strategies and global standardization framework, while exploring future applications of CRISPR-based portable detection, single-cell sequencing, and blockchain technologies.

Objective:To explore the dual mediating effects of health belief and depression among health knowledge, social support, and health behaviors based on the capacity, opportunity, motivation-behavior (COM-B) model, and analyze the influencing factors of health behaviors in patients with ischemic stroke.Methods:This multi-center cluster sampling research recruited ischemic stroke patients ( n=1 696) who were hospitalized in neurology departments of five tertiary hospitals in Henan Province from October 2023 to October 2024. A cross-sectional investigation was conducted using the general information questionnaire, social support rating scale (SSRS), stroke prevention knowledge questionnaire(SPKQ), short form health belief model scale(SF-HBMS), health promoting lifestyle profile-Ⅱ (HPLP-Ⅱ), and patient health questionnaire-9(PHQ-9) to ultimately reveal the pathways and effect sizes among variables. Partial correlation analysis and multiple linear stepwise regression analysis were conducted to examine the relationships among social support, health knowledge, health belief, health behaviors, and depression in stroke patients by SPSS 26.0 software. Structural equation modeling was constructed using AMOS 28.0 software, and the mediating effect was tested using the Bootstrap method. Results:The scores of social support, health knowledge, health belief, and health behaviors among ischemic stroke patients were (37.46±9.94), (26.56±6.84), (75.62±12.62) and (130.79±26.27), respectively. The score of depression was 5.00 (2.00, 8.00). Health behaviors were positively correlated with health knowledge, social support, and health belief( r=0.333, 0.246, 0.267, all P<0.05), while negatively correlated with depression ( r=-0.146, P<0.05). Multiple linear stepwise regression analysis showed that health knowledge, social support, health belief, and depression were all influencing factors of health behaviors in ischemic stroke patients (all P<0.05). Health belief (effect value=0.068, 95% CI=0.048-0.093) and depression (effect value=0.009, 95% CI=0.003-0.018) both played partial mediating roles between health knowledge and health behaviors, accounting for 17.3%(0.077/0.446) of the total effect. Meanwhile, health belief (effect value=0.045, 95% CI=0.029-0.063) and depression (effect value=0.016, 95% CI=0.008-0.027) both played partial mediating roles between social support and health behaviors, accounting for 26.5%(0.061/0.230) of the total effect. Conclusion:Health knowledge and social support can not only directly influence health behaviors but also indirectly affect them through health belief and depression in patients with ischemic stroke.

Objective Human facial morphology is an appearance phenotype with high heritability,high diversity,and complexity.Traditional facial morphological genetic analysis is mostly based on facial landmark measurements,using linear regression for genome-wide association studies,but this method extracts limited facial morphological feature information.This study established an extraction method for multidimensional facial representations and validated the correlation between 473 single-nucleotide polymorphisms(SNPs)previously reported to be significantly associated with facial features and facial representations in the Han Chinese population.Methods After acquiring facial 3D images,3D morphable face models and HR-net network were used to align and quantify the 3D images,obtaining high-density 3D facial point cloud data.After unsupervised clustering of the point cloud,principal component analysis was applied to reduce dimensionality and extract multidimensional morphological phenotypes for each facial region.Based on these multidimensional phenotypes,partial least squares regression(PLSR)and canonical correlation analysis(CCA)were used for genetic association analysis.Results A total of 10 SNPs were validated to be significantly associated with facial morphology in Han Chinese,of which 7 SNPs were validated by the PLSR method,2 SNPs were validated by the CCA method,and 1 SNP was validated by both methods.Conclusion Among the 10 significantly associated SNP sites,9 related facial morphological regions were consistent with previous reports in other populations,indicating that genes affecting complex facial morphology have cross-population effects.

Objective:To identify the key individual factors influencing intertemporal health decision-making and construct an interpretive structural model to analyze the logical relationships between these factors, providing intervention targets for making health-related intertemporal decisions.Methods:Through literature review and expert discussion, individual factors influencing health intertemporal decision-making were identified. The interpretive structural model and cross-impact matrix multiplication method were used to analyze the hierarchical relationships and category distribution among these factors.Results:A hierarchical structural model consisting of three levels and eight elements was established, with category distribution including independent, associated, and dependent groups. Education level and economic status were identified as fundamental factors at the bottom level, influencing each other and belonging to the independent group. Health cognition, health status, self-control, and emotional state were middle-level indirect factors. Self-control was influenced by health status and also affected emotional state and health cognition, while health cognition, in turn, influenced health status, placing these factors in the associated group. Future time perception and future situational expectations were direct factors at the top level, influencing each other and belonging to the dependent group.Conclusions:Education level, economic status, health cognition, health status, self-control, emotional state, future time perception, and future situational expectations are individual factors influencing intertemporal health decision-making, with an inherent relationship from bottom to top. Clarifying the pathways between these factors will help to provide targeted interventions based on individual conditions, promoting correct health intertemporal decision-making.

Objective:To explore the dual mediating effects of health belief and depression among health knowledge, social support, and health behaviors based on the capacity, opportunity, motivation-behavior (COM-B) model, and analyze the influencing factors of health behaviors in patients with ischemic stroke.Methods:This multi-center cluster sampling research recruited ischemic stroke patients ( n=1 696) who were hospitalized in neurology departments of five tertiary hospitals in Henan Province from October 2023 to October 2024. A cross-sectional investigation was conducted using the general information questionnaire, social support rating scale (SSRS), stroke prevention knowledge questionnaire(SPKQ), short form health belief model scale(SF-HBMS), health promoting lifestyle profile-Ⅱ (HPLP-Ⅱ), and patient health questionnaire-9(PHQ-9) to ultimately reveal the pathways and effect sizes among variables. Partial correlation analysis and multiple linear stepwise regression analysis were conducted to examine the relationships among social support, health knowledge, health belief, health behaviors, and depression in stroke patients by SPSS 26.0 software. Structural equation modeling was constructed using AMOS 28.0 software, and the mediating effect was tested using the Bootstrap method. Results:The scores of social support, health knowledge, health belief, and health behaviors among ischemic stroke patients were (37.46±9.94), (26.56±6.84), (75.62±12.62) and (130.79±26.27), respectively. The score of depression was 5.00 (2.00, 8.00). Health behaviors were positively correlated with health knowledge, social support, and health belief( r=0.333, 0.246, 0.267, all P<0.05), while negatively correlated with depression ( r=-0.146, P<0.05). Multiple linear stepwise regression analysis showed that health knowledge, social support, health belief, and depression were all influencing factors of health behaviors in ischemic stroke patients (all P<0.05). Health belief (effect value=0.068, 95% CI=0.048-0.093) and depression (effect value=0.009, 95% CI=0.003-0.018) both played partial mediating roles between health knowledge and health behaviors, accounting for 17.3%(0.077/0.446) of the total effect. Meanwhile, health belief (effect value=0.045, 95% CI=0.029-0.063) and depression (effect value=0.016, 95% CI=0.008-0.027) both played partial mediating roles between social support and health behaviors, accounting for 26.5%(0.061/0.230) of the total effect. Conclusion:Health knowledge and social support can not only directly influence health behaviors but also indirectly affect them through health belief and depression in patients with ischemic stroke.

Objective To develop a risk management system for complications associated with peripheral venous indwelling needles and to evaluate its application effect in order to reduce the risk of related complications.Methods We designed a comprehensive risk management system for peripheral intravenous indwelling needle complications,integrating specialized evidence-based guidelines with clinical practice insights,including 5 modules:intelligent assessment and decision support,intelligent inspection reminders,educational modules,collaborative case management procedures,and a knowledge base.Patients admitted to the neurology and internal classification metabolism departments of a tertiary hospital in Jilin Province were conveniently selected as the research subjects.Patients were assigned to a control group(from May to July 2022,before the implementation of the system)and an experimental group(from September to December 2022,after the implementation of the system).The incidence of complications,duration of indwelling needle,compliance rate of core indicators for nursing quality and number of nursing consultations were compared between the groups.Additionally,a self-administered questionnaire was used to assess clinical nurses'evaluations of the system.Results A total of 189 patients were included in the experimental group and 177 patients in the control group.The incidence of complications associated with peripheral intravenous indwelling needles was lower than that in the control group.The duration of indwelling peripheral intravenous needles was longer than that in the control group.The quality compliance rate of peripheral venous indwelling needle care in the experimental group was higher than that in the control group,and the number of consultation cases in the experimental group was higher than that in the control group.Comparisons between the 2 groups showed statistically significant differences for all indicators(P＜0.05).The nurses'recognition rates for the system's user-friendliness,professional guidance,and patient benefit were 77.78％,81.74％,and 82.13％,respectively.Conclusion The application of a peripheral vein indwelling needle complication risk management system can reduce the incidence of complications,prolong the duration of indwelling,and improve nursing quality.Nurses have a high recognition of this system.

Objective Human facial morphology is an appearance phenotype with high heritability,high diversity,and complexity.Traditional facial morphological genetic analysis is mostly based on facial landmark measurements,using linear regression for genome-wide association studies,but this method extracts limited facial morphological feature information.This study established an extraction method for multidimensional facial representations and validated the correlation between 473 single-nucleotide polymorphisms(SNPs)previously reported to be significantly associated with facial features and facial representations in the Han Chinese population.Methods After acquiring facial 3D images,3D morphable face models and HR-net network were used to align and quantify the 3D images,obtaining high-density 3D facial point cloud data.After unsupervised clustering of the point cloud,principal component analysis was applied to reduce dimensionality and extract multidimensional morphological phenotypes for each facial region.Based on these multidimensional phenotypes,partial least squares regression(PLSR)and canonical correlation analysis(CCA)were used for genetic association analysis.Results A total of 10 SNPs were validated to be significantly associated with facial morphology in Han Chinese,of which 7 SNPs were validated by the PLSR method,2 SNPs were validated by the CCA method,and 1 SNP was validated by both methods.Conclusion Among the 10 significantly associated SNP sites,9 related facial morphological regions were consistent with previous reports in other populations,indicating that genes affecting complex facial morphology have cross-population effects.

Objective To investigate the potential profile of self-management behavior in patients with sudden deafness,the characteristics and influencing factors of different categories of patients,and provide reference for clin-ical management.Methods A total of 205 patients with sudden deafness who were hospitalized in the Department of Otology of a Grade 3 hospital in Beijing were selected by convenience sampling method from August 2023 to June 2024.Date were collected using the general situation questionnaire,self-management status assessment scale for sudden deafness patient and social support rating scale.Mplus 8.0 was used for potential profile analysis,and SPSS 26.0 was used for single factor analysis and multiple logistic regression analysis.Results A total of 200 valid ques-tionnaires were collected.Patients were divided into 3 categories according to their self-management level,which were respectively named as"high management—good self-efficacy group"(n=52,26.00％),"moderate manage-ment—symptoms of special concern group"(n=101,50.50％),and"low management-lack of information acquisi-tion group"(n=47,23.50％).Multiple logistic regression analysis showed that education level,sleep disorder and social support level were the influencing factors of different self-management categories in patients with sudden deaf-ness.Conclusion The overall self-management ability of patients with sudden deafness is at a moderate level and with significant heterogeneity.Education level,sleep disorders,and social support serve as stratification criteria for categorizing different patient groups and formulating corresponding intervention strategies.Priority should be given to providing information support to the"low-management group with information deficiency",implementing targe-ted interventions for the"moderate-management group with symptom focus",and fully leveraging the self-efficacy of the"high-management group with good self-efficacy"to regulate their self-management level.

Background Prenatal exposure to chlorinated polyfluorinated ether sulfonic acid (Cl-PFESA, commercially known as F-53B) during pregnancy has been associated with fetal growth restriction and adverse birth outcomes. These effects may be mediated by structural and functional impairments of the placenta, potentially resulting from disrupted placental angiogenesis. However, the underlying mechanisms remain unclear. Objective To explore the impact of prenatal F-53B exposure on fetal development, placental pathology, and the expression of genes involved in angiogenesis by establishing an F-53B exposure animal model. Methods A total of 48 sexually mature female SD rats aged 8 weeks were selected, along with 24 proven male breeders. The rats were acclimatized for one week before mating. Pregnant rats were assigned to four groups: control (0 mg·kg⁻¹), low-dose (0.1 mg·kg⁻¹), medium-dose (1 mg·kg⁻¹), and high-dose (5 mg·kg⁻¹). Half of the pregnant rats in each group were administered the test substance by oral gavage once daily from gestational day (GD) 5.5 to GD17.5. The fetuses and placentas were dissected and weighed, and placental efficiency was calculated as the ratio of fetal weight to placental weight, reflecting the placenta’s capacity to supply nutrients to the fetus. Placental histopathological alterations were assessed after hematoxylin and eosin (HE) staining. Quantitative real-time polymerase chain reaction (qPCR) was conducted to assess the mRNA expression levels of angiogenesis-related genes, including hypoxia-inducible factor-1α (HIF-1α), vascular endothelial growth factor A (VEGFA) and its receptor (VEGFR2), as well as downstream genes in the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) signaling pathway. To evaluate the potential impact of prenatal F-53B exposure on birth outcomes, including birth weight and gestational age, the remaining half of the pregnant rats in each group were continuously exposed to the test substance until delivery. Results F-53B exposure significantly reduced fetal weight across all exposure groups (P<0.05) and markedly increased the incidence of intrauterine growth restriction (P<0.01). Although placental weights did not differ significantly among groups, placental efficiency was significantly decreased in the high-dose group (P<0.05). The histological analysis after HE staining revealed disorganized trophoblast cell structure and a significant reduction in labyrinthine blood sinus area in the medium- and high-dose groups. The qPCR analysis showed that HIF-1α expression was significantly upregulated in the low-dose group (P<0.001), while VEGFA (P<0.01), PI3K (P<0.001), and AKT (P<0.05) expression levels were significantly downregulated in the medium- and high-dose groups. Conclusion Maternal exposure to F-53B during pregnancy may impair placental angiogenesis via VEGFA and its downstream PI3K/AKT signaling pathway, leading to placental pathological damage and increasing the risk of intrauterine growth restriction and reduced birth weight in fetuses.