Objective: To understand the hydration status and related factors of rural boarding primary school students, so as to provide a scientific basis for drinking water health intervention for primary school students. Methods: In November 2023, a convenience sampling approach was employed to conduct a hydration status survey among 144 boarding students in grades 5 and 6 of a rural primary school in Guangxi. The Duplicate meal method and weighing method were utilized to measure the food derived water intake over three consecutive days. Urine osmolarity of students was measured on site for three days, and a simple physical examination was also carried out. A self administered questionnaire was used to investigate students drinking water literacy, daily water intake, and physical activity levels. Meanwhile, a drinking water literacy survey was conducted among 21 substitute teachers and 144 parents of the boarding students in grades 5 and 6. Logistic regression was used to identify factors associated with students hydration status. Results: The median daily total water intake of students was 2 043.55 mL, and 54.86% of the students did not reach the recommended Adequate Intake (AI). The median food derived water intake was 1 149.24 mL, accounting for 53.94% of the total water intake. Univariate analysis revealed that the daily drinking frequency, daily water intake, and food derived water intake of students were related factors of hydration status ( β =-1.60, -1.01, -0.00, all P <0.05). Multivariate Logistic regression analysis showed that primary school students with a daily drinking frequency of ≥7 times were more likely to maintain an adequate hydration status ( OR =0.28, 95% CI =0.09-0.93, P ＜0.05). Conclusions The water intake from food is the main source of water in the body for boarding primary school students in a certain rural school in Guangxi. Primary school students should increase their water intake frequency appropriately to maintain an adequate hydration status.

ObjectiveTo construct an actor-network for integrating physical activity into rehabilitation services based on the World Health Organization Rehabilitation in Health Service System framework and actor-network theory (ANT). MethodsContent analysis was employed using the six building blocks of health service systems as the theoretical framework. Actors related to rehabilitation services were extracted and categorized into a rehabilitation actor pool, while a physical activity actor pool was formed based on four major physical activity scenarios. Actors from both pools were integrated, deduplicated and classified to form a final list of integrated actors. Using ANT, the construction process of the actor network integrating physical activity into rehabilitation was analyzed through the four stages of translation: problematization, interessment, enrollment and mobilization. ResultsA dynamic integration network was constructed, comprising human actors (patients, rehabilitation professionals, researchers, sports coaches, government departments, medical institutions, community organizations and industry media, etc.) and non-human actors (assistive devices, sports infrastructure, smart equipment, information systems, online exercise guidance systems, laws and regulations, strategic documents, and exercise prescriptions, etc.). The study identified maximizing rehabilitation outcomes as the mandatory passage point and elaborated on the critical role of government departments as focal actors in coordinating various stakeholders. ConclusionThe integration of physical activity into rehabilitation services is a dynamic network constructed by diverse actors through a process of translation. ANT provides an operational theoretical framework for cross-departmental governance of rehabilitation policies in China, promotes the spatial expansion of the rehabilitation field, and drives its transformation toward a networked and ecological system. The government needs to play a leading role in facilitating role reconstruction and synergy among heterogeneous actors in both the sports and rehabilitation sectors through mechanism design, to create a bidirectional empowerment mechanism that fosters mutual progress and ensures the sustainable development of integrated services.

Objective To study the correlation of cognitive dysfunction with autonomic nerve function damage in patients with cerebral small vessel disease (CSVD). Methods A total of 310 patients with CSVD admitted from June 2022 to June 2025 were included. Montreal Cognitive Assessment Scale (MoCA) was applied for cognitive function assessment, and Scale for Outcomes in PD for Autonomic Symptoms (SCOPA-AUT) was used to evaluate autonomic nerve function damage. The incidence rate of autonomic nerve function damage, total score and dimensions scores of SCOPA-AUT were counted. According to the presence or absence of autonomic nerve function damage, the enrolled patients were categorized into damage group and non-damage group. The total score of MoCA and scores of dimensions were compared between both groups. Pearson correlation analysis model was utilized to analyze the correlation between total score of MoCA and scores of dimensions of SCOPA-AUT in patients with CSVD. Results Among the 310 patients, 63.87% cases (198 / 310) had autonomic nerve function damage. The SCOPA-AUT total score and scores of dimensions of gastrointestinal function, urinary system function, cardiovascular function, body temperature regulation, pupil movement and sexual function were (34.16 ± 10.41) points, (10.25 ± 3.31) points, (9.44 ± 2.89) points, (4.02 ± 1.66) points, (6.41 ± 2.35) points, (1.35 ± 0.49) points and (2.69 ± 0.81) points. The total score of MoCA and scores of language function, naming, delayed recall and attention in the damage group were lower than those in the non-damage group (P < 0.05). Pearson correlation analysis results revealed that the total score, urinary system score, cardiovascular function score and body temperature regulation score of SCOPA-AUT were negatively correlated with the total score of MoCA (r = -0.545, -0.598, -0.607, -0.615, P < 0.05), and the gastrointestinal function score, pupil movement score and sexual function score were not significantly associated with total score of MoCA (P > 0.05). Conclusion The risk of autonomic nerve function damage is high in patients with CSVD, and it involves multiple systems and is closely related to the cognitive function of patients.

ObjectiveTo investigate the protective effect of Xielitang on dextran sulfate sodium （DSS）-induced ulcerative colitis （UC） mice and its possible mechanism. MethodsDSS was used to establish UC model. Sixty mice were randomly divided into a normal group， a model group， a sulfasalazine group （0.6 g·kg^-1）， and low-， medium-， and high-dose Xielitang groups （1.67， 3.34， 6.68 g·kg^-1）. After treatment for 42 d， the colon length was recorded， and the disease activity index （DAI） score was calculated. Enzyme-linked immunosorbent assay （ELISA） was used to detect the serum levels of tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-10 （IL-10）. Hematoxylin-eosin （HE） staining was used to observe the pathomorphological changes of colon. Western blot was used to detect the protein expression of farnesoid X receptor （FXR）， small heterodimer partner （SHP）， liver receptor homolog-1 （LRH-1）， cholesterol 7α-hydroxylase （CYP7A1）， and fibroblast growth factor receptor 4 （FGFR4） in liver and FXR， sodium-dependent bile acid transporter （ASBT）， and fibroblast growth factor 15 （FGF15） in ileum. 16S rRNA sequencing was used to analyze the intestinal flora. Moreover， ultra-high performance liquid chromatography–tandem mass spectrometry was used to detect the bile acid content. ResultsCompared with the normal group， the model group showed significantly decreased colon length， IL-10 content， α-diversity index， abundance of Firmicutes and Lactobacillus， and content of deoxycholic acid （DCA） and lithocholic acid （LCA） （P<0.01）， significantly increased DAI score， IL-6 and TNF-α content， abundance of Bacteroidetes， and the content of cholic acid （CA）， chenodeoxycholic acid （CDCA）， and taurocholic acid （TCA） （P<0.05， P<0.01）， significantly down-regulated protein expression of FXR， SHP， and FGFR4 in liver and FXR， ASBT， and FGF15 in ileum （P<0.01）， and significantly up-regulated protein expression of LRH-1 and CYP7A1 in liver （P<0.01）. In addition， the structure of colonic mucosa was destroyed， and inflammatory cells infiltrated in the model group. Compared with the model group， Xielitang could significantly increase the colon length， IL-10 content， α-diversity index， the abundance of Firmicutes and Lactobacillus， and DCA and LCA content （P<0.05， P<0.01）， decrease DAI score， abundance of Bacteroidetes， and the content of IL-6， TNF-α， CA， CDCA， and TCA （P<0.01）， up-regulate the protein expression of FXR， SHP， and FGFR4 in liver and FXR， ASBT， and FGF15 in ileum （P<0.01）， and down-regulate the protein expression of LRH-1 and CYP7A1 in liver （P<0.01）. The pathological damage of colonic mucosa was obviously alleviated. ConclusionXielitang protects against UC probably by regulating the "intestinal microbiota-bile acid" axis， regulating intestinal flora imbalance， and maintaining bile acid homeostasis.

Objective:To establish a highly sensitive indirect competitive ELISA(icELISA)method for detecting ribavirin in chicken.Methods:Based on the obtained monoclonal antibodies against ribavirin,a chessboard test was employed to determine the optimal working concentration of artificial antigen and antibody,and then established an icELISA method.Furthermore,performance of the detection method was evaluated.Results:The established icELISA method has a linear range of 0.44～32.71 ng/ml,IC50 of which was 3.78 ng/ml,and the limit of detection(LOD)was 0.20 ng/ml.Except for specific reaction with ribavirin,there were no cross reactions with other antiviral drugs.Recovery rate of sample spiking was between 91.60%and 100.76%,and coefficient of variation was between 7.29%and 10.63%.Conclusion:A highly sensitive and specific icELISA method for detection of ribavirin has been estab-lished,which can be used to determine the residue of ribavirin in chicken.

Objective To construct a risk prediction model of mild cognitive impairment(MCI)in the Chinese elderly population based on ensemble learning methods and verify it,to intervene in time and delay the progression of MCI.Methods A total of 8691 elderly people in the Chinese longitudinal health longevity study(CLHLS)from 2008 to 2018 were selected as the research objects,and the data from 2008 to 2014 were used as the training set.Data from 2014 to 2018 as a validation set.The Chinese version of the mini-mental state examination(CMMSE)was used to assess the cognitive status of the participants.Recursive feature elimination-random forest(RFE-RF),Boruta,mutual information(MI),and extra trees classifier(ETC)identified the predictors and screened out the common predictors.Use logistic regression(LR),random forest(RF),linear discriminant analysis(LDA),K-nearest neighbors(KNN),and na?ve bayes(NB)as the five single basic models,and a stacking ensemble model that integrates these basic models to predict the risk of mild cognitive impairment in elderly Chinese.Accuracy,precision,recall,and F1-score,as well as the area under the receiver operating characteristic(AUROC)and the area under the precision-recall curve(AUPRC),were used to evaluate the performance of the models.Results The performance of the stacking ensemble model under different feature selection algorithms is superior to any single base model,with AUROC greater than 0.9 in all cases.The feature selection algorithm ETC+stacking ensemble model performs best,and the AUROC and AUPRC in the test set are 0.912 and 0.872,respectively.Conclusion The stacking model shows superior performance in predicting MCI.This provides strong support for the strategy of healthy aging in China by timely identifying the high-risk groups of MCI,reducing the heavy burden of MCI brought by the elderly.

Objective: To investigate the current status of knowledge, attitudes and practices regarding drinking water among primary school students in rural areas of China, so as to provide scientific basis for implementing health interventions related to drinking water. Methods: From November to December 2023, a stratified cluster random sampling method was employed to select 6 354 fourth to sixth grade primary school students in Shanxi, Zhejiang, Jiangxi, Guangxi and Gansu for a questionnaire survey. A uniformly designed questionnaire (including basic information, drinking water-related knowledge, attitudes and practices indicators) was distributed and completed by the students themselves. The χ 2 test was used to analyze the differences in drinking water-related indicators among students of different gender and boarder, and Logistic regression was used to analyze the influencing factors of drinking water practices among students. Results: Among the indicators of drinking water knowledge, the awareness rate of appropriate daily water intake for respective student age groups was the lowest (27.90%). The awareness rate among nonresident students was significantly higher than that among boarding students (31.29%, 15.49%, χ 2=132.75, P <0.01). Regarding attitudes toward drinking water, 13.33% of the students believed that well water or tap water could be drunk directly, and 9.58% believed that going to the toilet at school was troublesome. Regarding practices, the self-reported water intake among students was 1 000 (600, 1 200) mL. The results of multifactorial Logistic regression showed that higher grades ( OR=1.60, 95%CI =1.34-1.92), nonresident students ( OR=1.32, 95%CI = 1.15 -1.52), northern region ( OR=1.43, 95%CI =1.27-1.61), knowledge of appropriate daily water intake ( OR=1.41, 95%CI =1.24-1.60), drinking temperature ( OR=1.43, 95%CI =1.28-1.60), scientific hydration methods ( OR=1.25, 95%CI =1.08- 1.44 ), and adopting scientific hydration methods regularly ( OR=1.75, 95%CI =1.50-2.04) were the independent influences on daily water intake attainment ( P <0.05). Conclusions Rural primary school students lack knowledge about healthy drinking water, have cognitive biases about safe drinking water and exhibit unhealthy drinking behavior. It is suggested that health education be carried out in combination with the characteristics of students to enhance their drinking water literacy.

Objective:This study aimed to construct a prediction model for diagnosis of proliferative lupus nephritis based on a machine learning algorithm. Additionally, a user-friendly platform was developed to propose a non-invasive method to assist the pathologic classification of lupus nephritis.Methods:A retrospective analysis was conducted on clinical and pathological data of lupus nephritis patients confirmed by renal biopsy at Zhengzhou University People′s Hospital from January 2017 to August 2023. The study population was randomly divided into training and testing sets in a 7∶3 ratio. Utilizing six machine learning algorithms, classification models were developed. The predictive performance of each model was assessed using metrics such as accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). The optimal model, once identified, was deployed as a web-based calculator for convenient model application. SPSS 25.0 and R 4.2.2 were used to analyze the data.Results:The study included a total of 212 patients, with 138 cases with proliferative lupus nephritis and 74 cases with non-proliferative lupus nephritis. The AUC values for the six models, namely logistic regression, decision tree, random forest, support vector machine, extreme gradient boosting, and light gradient boosting machine, were 0.79, 0.62, 0.79, 0.88, 0.81, and 0.77, respectively; the accuracy rates were 82.54%, 65.08%, 74.60%, 85.71%, 69.84%, 71.43%, respectively. Among them, the support vector machine model demonstrated the optimal performance. This model had deployed as a web-based calculator. Based on feature importance scores, the top 10 influencing factors were identified, including anti URNP antibody, immunoglobulin G, serum globulin, estimated glomerular filtration rate, anti Smith antibody, BMI index, anti dsDNA antibody, uric acid, anti-Rib.p antibody, and gender.Conclusion:A prediction model based on machine learning algorithms was successfully established, and a web calculator was developed to offer a simple and non-invasive method for diagnosing proliferative lupus nephritis. This can assist clinicians in evaluating the risk-benefit ratio of kidney biopsy in patients with lupus nephritis.

Objective:To establish a highly sensitive indirect competitive ELISA(icELISA)method for detecting ribavirin in chicken.Methods:Based on the obtained monoclonal antibodies against ribavirin,a chessboard test was employed to determine the optimal working concentration of artificial antigen and antibody,and then established an icELISA method.Furthermore,performance of the detection method was evaluated.Results:The established icELISA method has a linear range of 0.44～32.71 ng/ml,IC50 of which was 3.78 ng/ml,and the limit of detection(LOD)was 0.20 ng/ml.Except for specific reaction with ribavirin,there were no cross reactions with other antiviral drugs.Recovery rate of sample spiking was between 91.60%and 100.76%,and coefficient of variation was between 7.29%and 10.63%.Conclusion:A highly sensitive and specific icELISA method for detection of ribavirin has been estab-lished,which can be used to determine the residue of ribavirin in chicken.

ObjectiveTo investigate the association of SH2B1 rs7359397 （C>T） polymorphism with the progression to hepatic fibrosis in the elderly patients with metabolic dysfunction-associated steatotic liver disease （MASLD） in Beijing， China， and to provide an important genetic basis for the precise subtyping， prognostic evaluation， and individualized treatment of elderly MASLD patients in China. MethodsA total of 505 elderly patients （aged ≥65 years） who participated in regular physical examination in Mentougou Kuangshan Hospital of Beijing Jingmei Group General Hospital from November 2020 to September 2021 and were diagnosed with MASLD by abdominal ultrasound were enrolled as MASLD group， and 381 elderly population who underwent physical examination in the same community hospital during the same period of time and were not found to have MASLD by abdominal ultrasound were enrolled as control group. FibroScan was used to measure liver fat content and determine fibrosis stage. The 96-well microfluidic chip technique was used to identify SH2B1 rs7359397 polymorphism. The independent-samples t test was used for comparison of normally distributed continuous data between the two groups， and the chi-square test or the adjusted chi-square test was used for comparison of categorical data between the two groups. Univariate and multivariate Logistic regression analyses were used to identify the independent predictive factors for MASLD and its comorbidities. ResultsCompared with the control group， the MASLD group had a significantly younger age and significantly higher levels of waist circumference， hip circumference， waist-hip ratio， body mass index （BMI）， alanine aminotransferase， aspartate aminotransferase， triglyceride， platelet count， and fibrosis-4 （FIB-4） index， as well as a significantly lower level of high-density lipoprotein cholesterol （all P<0.05）. Among the 381 patients in the control group， 264 （69.29%） had genotype CC and 117 （30.71%） had genotype CT+TT， while among the 505 patients in the MASLD group， 317 （62.77%） had genotype CC and 188 （37.23%） had genotype CT+TT， suggesting that the MASLD group had a significantly higher proportion of patients with genotype CT+TT compared with the control group （χ²=4.09， P=0.043）. In the MASLD group， compared with the genotype CC group， the genotype CT+TT group had a significantly lower proportion of patients with FIB-4 ≥2 or atherosclerotic cardiovascular diseases （P<0.05）. The multivariate Logistic regression analysis showed that after adjustment for age， sex， and BMI， carrying T allele was a protective factor against progressive hepatic fibrosis （odds ratio ［OR］=0.481， 95% confidence interval ［CI］： 0.249 — 0.929， P=0.029）. In the subgroups of comorbidities with hypertension， metabolic syndrome， and obesity， genotype CT+TT was associated with a significant reduction in the risk of progressive hepatic fibrosis （hypertension： OR=0.27， 95%CI：0.09 — 0.77， P=0.014； metabolic syndrome： OR=0.30， 95%CI： 0.11 — 0.79， P=0.015； obesity： OR=0.11， 95%CI： 0.03 — 0.48， P=0.003）. After adjustment for age， sex， and BMI， in the patients with MASLD， the patients with genotype CT+TT had a significant reduction in the prevalence rate of atherosclerotic cardiovascular diseases compared with those with genotype CC （OR=0.506， 95%CI：0.336 — 0.761， P=0.001）. ConclusionSH2B1 rs7359397 （C>T） polymorphism is associated with the reduction in the risk of hepatic fibrosis and atherosclerotic cardiovascular diseases in MASLD patients.