Objective: To explore the effects of the school based integrated horticulture curriculum intervention on 24 hour activity behaviors among third grade primary school students, so as to provide reference for promoting children s health. Methods: In September 2023, a convenience sampling method was used to select 90 third grade primary school students from a primary school in Changsha. Participants were randomly assigned to an intervention group ( n =45) and a control group ( n =45) using a random number table. From February to May 2024, the intervention group received a 12 week integrated curriculum intervention, consisting of two 60 minute sessions per week and covering horticultural practice, home-school collaborative tasks and nutrition knowledge education. The control group continued with routine labor education courses. The triaxial accelerometer and multi sensor sleep monitoring device were used to objectively measure light intensity physical activity (LPA), moderate to vigorous physical activity (MVPA), screen based sedentary behavior (SSB) and sleep (SLP), durations in both groups. Data were analyzed using generalized estimating equations (GEE) and Mann-Whitney U tests. Results: The time, group and interaction effects of MVPA time and SLP time before and after intervention in two groups of primary school students were not statistically significant (Wald χ 2=1.54, 2.97, 0.85 ; 0.75, 1.05, 0.48), and the group effect of LPA time (Wald χ 2=1.24) and the time and group effects (Wald χ 2=3.02, 1.18 ) were not statistically significant (all P >0.05). There were statistically significant time and interaction effects for LPA time, as well as interaction effect for SSB time in two groups of primary school students before and after intervention (Wald χ 2=4.78, 3.95, 12.60, all P <0.05). After intervention, LPA time of intervention group [152.23(59.15, 245.80)min] was higher than that of control group [120.70(29.90, 201.20)min], and SSB time of intervention group [55.50(30.00, 125.50)min] was lower than that of control group [220.00(60.00, 285.00)min], with statistically significant differences ( Z =-2.46, -4.48, both P <0.05). Conclusion The school horticulture curriculum effectively enhances daily LPA and reduces SSB among third grade primary school students.

Background: Adrenocortical hormones, particularly 11-oxygenated androgens, are pivotal in female reproductive health and fertility. Standardized detection kits and population-specific reference intervals are lacking in China, hindering related clinical applications. Methods: A HPLC-tandem mass spectrometry (HPLC-MS/MS) pipeline was developed, rigorously validated, and applied to simultaneously quantify corticosterone, cortisone, cortisol, 18-OH cortisol, androstenedione (A4), 11β-hydroxyandrostenedione (11-OH A4), dehydroepiandrosterone, and dehydroepiandrosterone sulfate in serum samples from 455 reproductive-aged women (18–45 yrs) in Guangxi, China. Age-dependent concentration trends were analyzed, and reference intervals stratified by age (2.5th to 97.5th percentiles) were established. Correlations with body-composition metrics, ethnicity, and the menstrual cycle were investigated. Results: The HPLC-MS/MS method demonstrated high precision (intra- and inter-assay CVs < 15%), accuracy, and sensitivity. All eight hormones exhibited significant age-related declines (P < 0.001 for seven hormones; P = 0.001 for 11-OH A4). Notably, 11-OH A4 levels were significantly lower in the 35–45-yr (3.05 nmol/L) and 25–34-yr (3.09 nmol/L) age groups than in the 18–24-yr (3.57 nmol/L) age group, whereas no significant difference was observed between the 35–45-yr and 25–34-yr age groups. Weak negative correlations were observed between the body mass index and corticosterone and cortisone levels, whereas ethnicity and the menstrual cycle showed no significant associations with hormone levels. Conclusions We developed an HPLC-MS/MS-based method for simultaneously quantifying eight adrenocortical hormones, including 11-OH A4, and defined age-specific reference intervals for reproductive-aged Chinese women. These findings advance the clinical utility of adrenocortical hormones in diagnosing and managing reproductive disorders.

Colorectal cancer has an insidious onset， and some patients have already developed local invasion or metastasis at the time of diagnosis， which affects treatment strategy selection and survival prognosis. The tumor microenvironment is not only the basic condition for tumor cell survival but also the core regulatory factor driving their local invasion and distant metastasis. This article reviewed the mechanisms by which traditional Chinese medicine regulates the tumor microenvironment to inhibit colorectal cancer metastasis. It was found that traditional Chinese medicine active ingredients such as astragalus polysaccharides， leonurine， kaempferol， etc.， as well as traditional Chinese medicine formulas such as Jianpi jiedu formula， can inhibit colorectal cancer metastasis by regulating key links of the tumor microenvironment， including immunosuppression， inflammatory response， intestinal microecological disorder， abnormal angiogenesis， and extracellular matrix homeostasis imbalance. However， current related research was still mainly based on cell and animal experiments， with limited clinical evidence-based data， and mechanistic studies mostly focued on single signaling pathways. Future research should integrate multi-omics technologies and systems biology methods to systematically elucidate the key targets and action networks through which traditional Chinese medicine regulates the colorectal cancer tumor microenvironment to combat metastasis.

Objective To construct risk models for predicting the occurrence of high altitude de-acclimatization syndrome(HADAS)in the population returning from the plateau to the plain based on different machine learning algorithms and validate the predicting efficiency of these models.Methods Field or online surveys were conducted on the individuals who had ended their high-altitude living and returned to the plain areas from November 2020 to February 2024.Basic information,chronic mountain sickness(CMS),HADAS symptoms and other data were collected.With the inclusion and exclusion criteria,totally 1 095 individuals were subjected and assigned into the modeling group.Positive events were defined as HADAS score>5.Then the modelling group was divided into a training set(n=766)and an internal test set(n=329)in a 7∶3 ratio.Least absolute shrinkage and selection operator(LASSO)regression was used to select independent variables.Risk prediction models for high-altitude adaptation symptoms were built based on 8 machine learning methods,including multiple factor logistic regression(LR),decision tree(DT),random forest(RF),eXtreme gradient boosting(XGB),support vector machine(SVM),K-nearest neighbor(KNN),light gradient boosting(LGB)and na?ve bayes(NB).The models were compared and evaluated using receiver operating characteristic(ROC)curves,calibration curves and confusion matrices in the internal test set.The final model was presented using a nomogram or Shapley additive explanations(SHAP)algorithm.In August 2024,another 132 individuals who returned to the plains and met the same criteria were recruited and served as the external validation group.Results There were 549 individuals(50.14%)out of the 1 095 subjects having HADAS symptoms.LASSO regression identified CMS score,age and duration of high-altitude residence as significant predictors.Among the 8 machine learning algorithms,the LR model was identified as the best,with an area under the curve(AUC)value of 0.819(95%CI:0.789～0.850)and 0.841(95%CI:0.799～0.884),and an F1 score of 0.801 in the internal test set,respectively,and the AUC value and F1 score of the LR model were the largest among the 8 models in the internal test set.Spiegelhalter Z test of the calibration curve of the LR model indicated that its P=0.703 in the training set while P=0.281 in the internal test set.The AUC value of the LR model was 0.867(95%CI:0.765～0.969)in the external validation set.Conclusion The LR model constructed based on indicators including CMS score,age and duration of high-altitude residence has a good overall performance in the internal test set,and good discriminating effect in the external validation set.The constructed nomogram is convenient for application.

Objective To investigate the articulation acoustic characteristics of children with spastic cerebral palsy and their correlation with articulation intelligibility.Methods A total of 17 children with cerebral palsy and 17 ordinary children aged 6-12 years were included in the study,and the articulation acoustics and articulation intelligi-bility performance of the two types of children were compared by using three kinds of corpus:monophthong,single word and sentence,and the correlation between them was studied.Results The articulation intelligibility of the monophthong,single word and sentence corpus of children with spastic cerebral palsy was lower than that of ordina-ry children(P＜0.01),as follows:monophthong＞single word＞sentence.In the monophthong corpus,only mandibular distance and tongue distance were significantly lower than that of ordinary children(P＜0.05),and only mandibular distance and vowel space area(VSA)were significantly correlated with articulation intelligibility(P＜0.05).In the single word corpus,mandibular distance,tongue distance and VSA were significantly lower than that of ordinary children,while vowel ellipse area(VEA)was significantly higher than that of ordinary children(P＜0.05).All other indexes except VSA and formant centralization ratio(FCR)were significantly correlated with artic-ulation intelligibility(P＜0.05).In the sentence corpus,all the other indexes except mandibular distance were sig-nificantly worse than those of ordinary children(P＜0.05),and all the acoustic indexes were significantly correlated with articulation intelligibility(P＜0.05).Conclusion Children with cerebral palsy have poor articulation acoustic cha-racteristics and articulation intelligibility,and the corpus complexity will affect the degree of correlation between the two.

Objective To investigate the expression of ferritinophagy-related gene ELAV-like RNA binding protein 1(ELAVL1)in multiple myeloma(MM)and elucidate its diagnostic and prognostic value for MM.Methods First,we analyzed ELAVL1 expression level in healthy controls and MM patients using data from the GEO and TCGA databases.Subsequently,bone marrow specimens were collected from 28 newly diagnosed MM patients and 20 healthy controls,and qRT-PCR was employed to validate ELAVL1 expression.The diagnostic and prognostic potential of ELAVL1 was assessed using ROC curve analysis and Kaplan-Meier survival curves.Additionally,univariate and multivariate COX regression analyses were performed to identify independent risk factors for MM prognosis.Finally,KEGG and GO enrichment analyses were performed using the DAVID online platform.Results The level of ELAVL1 expression was significantly higher in newly diagnosed MM patients and refractory/relapsed MM patients than in the healthy controls(P＜0.001).Moreover,ELAVL1 expression was positively correlated with the International Staging System(ISS)stage of MM(P＜0.01).Furthermore,qRT-PCR validation confirmed that ELAVL1 expression was elevated in the 28 newly diagnosed MM patients compared to the 20 healthy controls(P＜0.001).ROC curve analysis demonstrated that ELAVL1 could effectively differentiate between newly diagnosed MM patients,healthy controls,and MGUS patients(P＜0.001 and P=0.000 2,respectively).Survival analysis revealed that high ELAVL1 expression was associated with shorter progression-free survival(P=0.0141)and overall survival(P=0.008 0).Univariate and multivariate COX regression analyses identified high ELAVL1 expression as an independent risk factor for poor MM prognosis(P=0.005 0).KEGG analysis suggested that ELAVL1 might be involved in the Hippo and MAPK signaling pathways.Conclusion High ELAVL1 expression in MM may serve as a biomarker for diagnosis and poor prognosis.ELAVL1 may promote MM initiation and progression via the Hippo and MAPK signaling pathways.

Objective:To investigate the distribution of health needs and healthcare workforce demands among potential service users in community health service institurions (CHSIs) and establish a comprehensive health needs profile for targeted service development.Methods:This is a cross-sectional study. A questionnaire survey (55 items for adults and 39 items for minors) was conducted among 564 residents aged 3-65 in Dapuqiao Subdistrict, Shanghai from March to May 2024. A health sketch model was developed, encompassing five dimensions (intake, basal metabolism, consumption, influencing factors, and somatosensory perception). Health issues were mapped to standardized healthcare services, and annual standardized workloads (SW) were calculated to quantify human resource demands. Results:Among 534 valid responses (94.68% response rate), 355 from the adults and 179 from minors, the top health issues for adults were irregular diet, nutritional imbalance, obesity, somatic fatigue, and disordered eating; for minors, they were nutritional imbalance, medication overuse, insufficient physical activity, picky eating, and anorexia. The total annual SW required to address these needs was 3 906 807.93. Among them, the total SW for each age group was as follows: the total annual SW demand for children aged between 3 and 5 years old was 24 108.90, for children aged between 6 and 11 years old was 141 355.70, for adolescents aged between 12 and 17 years old was 29 813.74, 223 475.50 for 18-24 year olds, 476 426.53 for 25-34 year olds, 1 221 105.84 for 35-44 year olds, 812 200.22 for 45-54 year olds; and 978 321.50 for 55-65 year olds. Workforce allocation analysis revealed a total demand for 139.84 standardized personnel, with rehabilitation therapists (38.16), general practitioners (35.69), and nurses (27.34) being the top three required roles.Conclusions:Health needs and workforce demands vary significantly across age groups. This study provides a data-driven framework for optimizing community health services through stratified health needs profiling and precision resource allocation. Future strategies should prioritize tailored interventions and workforce planning to bridge service gaps and enhance health outcomes.

Objective:To investigate the descrepancy between current supply and demand based on standardiized workload for rational human resource allocation in community health service centers.Methods:A retrospective study was conducted in Dapuqiao Community Health Service Center of Shanghai Huangpu District from January 1st to December 3lst 2023. The current status of demand and supply were analyzed using the 2023 data of the institution. The standardised workload was measured according to the potential basic medical and public health service needs based on the disease profile and population groups in the community. The discrepancy between the current supply and theoretical demand was analyzed.Results:A total of 36 634 patients paid 277 262 visits in outpatient clinics of Dapuqiao Community Health Service Center in 2023. There are total 161 employees in the center, 124 of whom are female (77.02%). The actual calibrated workload of basic medical care and public health service in the center calculated on fee-based medical service items in 2023 was 2 888 425.61 and 455 898.35, respectively; while the theoretically calibrated workload was 5 416 492.42 and 711 230.94, respectively. The center employed 131 medical and health workers currently, calibrated as 90.67 employees based on current demand, while it should be 183.74 calibrated on the theoretical demand, there was a certain discrepancy between the current staffing and the standard staffing based on the standardized workload calculation.Conclusion:At present, the actual standardized workload of basic medical and public health services in Dapuqiao Community Health Service Center still has room for improvement, but there is a certain gap between the current human resource allocation and the demand.

Various metabolic enzymes and signaling molecules in the reprogramming process of glucose metabolism are involved in the occurrence and development of lung cancer. The study of these metabolic enzymes and signaling molecules is one of the hot spots and directions in the clinical diagnosis and treatment of lung cancer. Fructose-bisphosphate aldolase A (ALDOA) is an important catalytic enzyme in the reprogramming of glucose metabolism, and the abnormal expression of ALDOA is intricately related to the occurrence and development of lung cancer. Systematically exploring of the role of ALDOA in lung cancer metabolism may provide new ideas for predicting the metastasis, prognosis, and treatment after drug resistance of lung cancer.

Severe allergic reactions to hydrogen peroxide solution and compound chlorhexidine gargle are rare, and most medical professionals have limited understanding of such cases. This article reports a case of anaphylactic shock in a patient with a periodontal abscess following oral flushing with hydrogen peroxide and compound chlorhexidine gargle. Drawing on domestic and international literature, it provides a reference for the emergency management of serious adverse reactions caused by these agents.
Humans ; Anaphylaxis/chemically induced* ; Anti-Infective Agents, Local/adverse effects* ; Chlorhexidine/adverse effects* ; Hydrogen Peroxide/adverse effects* ; Mouthwashes/adverse effects*