Objective: To explore the association between nap duration with anxiety and depressive symptoms among junior high school students, in order to provide evidence for mental health interventions for adolescents. Methods: From May to June 2022, a combination of convenience sampling and cluster sampling was used to select 2 491 students from 2 junior high schools in Haizhu District, Guangzhou City for questionnaire survey and physical examination. The questionnaire collected nap duration, night time sleep duration, bedtime, physical activity, and sedentary behavior. Anxiety and depressive symptoms were assessed using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), respectively. Log-binomial regression model was used to analyze the association of nap duration with anxiety and depressive symptoms, as well as comorbidity among junior high school students, and a restricted cubic spline (RCS) Log-binomial regression model was employed to analyze the non linear relationship after adjusting for covariates. Results: The detection rates of anxiety symptoms, depressive symptoms and comorbidity among junior high school students were 13.29%,14.65%,9.19%. After adjusting for covariates such as age, gender and nighttime sleep duration, compared with a school day nap duration of <30 min/d, a nap duration of 30-<60 min/d was associated with a reduced risk of anxiety symptoms ( APR =0.68, 95% CI =0.49-0.98) and comorbidity ( APR =0.56, 95% CI =0.39-0.87)(both P < 0.05 ). Compared with no napping on weekends, a nap duration of 30-<60 min/d was associated with a reduced risk of anxiety symptoms ( APR =0.62, 95% CI =0.41-0.88), depressive symptoms ( APR =0.52, 95% CI =0.34-0.75) and comorbidity ( APR = 0.52 , 95% CI =0.30-0.83)(all P <0.05). RCS curves showed a nonlinear relationship between weekend nap duration and the prevalence of anxiety, depressive symptoms and comorbidity among junior high school students(all P non linear <0.05); weekend nap duration of <120 min was associated with a lower risk of anxiety and depressive symptoms, and weekend nap duration of >180 min was associated with an increased risk. Conclusions Appropriate nap duration can help reduce the risk of anxiety, depressive symptoms, and the comorbidity among junior high school students. Adolescents should be guided to reasonably arrange nap duration for promoting physical and mental health.

Objective: To evaluate oral health status and knowledge, attitude and practice (KAP) among third grade primary school students after the implementation of the Comprehensive Intervention Project for Childhood Oral Diseases in Guizhou Province, so as to provide evidence for program optimization. Methods: Using a multistage cluster sampling method, oral examinations and questionnaire surveys were conducted among third grade primary school students in schools covered by the Comprehensive Intervention Project for Childhood Oral Diseases in Guizhou Province (intervention group, n =1 030) and schools not covered by the program (control group， n =1 130) in November 2023. A follow up survey was conducted one year after the project s implementation (December 2024) to evaluate the differences in oral health status and KAP between the two groups. The t-test and χ 2 test were used to compare means and rates, respectively. Results: One year after implementation, the permanent caries prevalence, caries filling ratio, mean dmft/DMFT, and mean simplified debris index in the intervention group were 33.3%, 22.3 %, 3.44±3.10, 0.77±0.56, which were all better than those in the control group (39.8%, 17.3%, 3.89±2.85, and 0.87± 0.63 ) ( χ 2/ t =9.87, 8.78, -2.59, -3.91,all P <0.05). After intervention, the levels of oral health knowledge, attitude and behaviors in the intervention group were better than those in the control group ( Z =7.69, 2.35, 2.10, all P <0.05). Except for the item "fluoride has no protective effect on teeth", the correct response rates of other oral health knowledge items in the intervention group were higher than those in the control group ( χ 2=3.92-163.94, all P <0.05). The reported rates of tooth brushing related behaviors and sugary beverage consumption were higher in the intervention group than in the control group ( χ 2=4.02-11.42，all P <0.05). Conclusions The Comprehensive Intervention Project for Childhood Oral Diseases improves children s oral health status, oral health knowledge, and some oral health behaviors, but has limited effects on some behaviors and oral health attitudes. Future efforts should focus on the factors influencing the transformation of children s oral health attitudes and behaviors, along with strengthening long term follow up evaluations.

Objective:To review the current research on mechanisms for bone and muscle loss among astronauts in a microgravity environment and predict progress in prevention and treatment. Literature resource and selection Related literature retrieved from CNKI, Wanfang Data, PubMed and other Chinese and English databases that was published as of December 2023. Such key words as weightless, microgravity, bone, muscle and osteoporosis were used. Literature quotation Fifty seven related articles that had been published at home and abroad were included. Literature synthesis The loss of bone and muscle in a microgravity environment was receiving increasing attention in the field of aerospace medicine, but the process of bone and muscle loss was influenced by a range of factors. The microgravity environment altered the function and expression of osteoblasts, osteocytes and osteoclasts, thus impacting bone formation, mineralization and absorption. In addition, the microgravity environment led to muscle cell atrophy, apoptosis, functional decline and degradation of muscle proteins. Complex signaling pathways and molecular regulatory mechanisms existed between bone and muscle cells, and these interactions were disrupted in the microgravity environment. Conclusions:Current strategies for prevention and treatment of bone and muscle loss in a microgravity environment include mechanical stimulation, pharmacologic interventions and nutritional supplementation. More effort is needed to study the related mechanisms and targets.

Objective:To develop an economical,simple,and accessible method for early identification of high-risk pregnant women with gestational diabetes mellitus(GDM),this study developed and evaluated multiple machine learning models,identified the optimal prediction model,and constructed a clinical decision support sys-tem(CDSS)based on this model.Methods:A total of 464 pregnant women who visited the Second Affiliated Hospital of Dalian Medical University from January 1,2023 to December 30,2024 were included,of which 386 were used to establish a prediction model(231 in the training set and 155 in the testing set),and the remaining 78 were used as a validation.Adopting the methods of double-point sequence correlation and chi-square test,four machine learning models were constructed after selecting feature variables:Logistic Regression,Random Forest,Support Vector Machine,and eXtreme Gradient Boosting(XGBoost).Preliminary judgment of the maximum weight mod-el,further comparison of the discriminative ability,calibration ability,and clinical practicality of each model to evalu-ate and select the optimal model,develop its CDSS,and verify the accuracy of the model.Results:①Correlation analysis identified predictors of GDM:age,pre-pregnancy body mass index(BMI),systolic/diastolic blood pres-sure,white blood cell count,hemoglobin,lymphocyte ratio,fasting plasma glucose,uric acid,direct bilirubin,chronic hypertension complicating pregnancy,and assisted reproductive technology conception.②XGBoost dominated the ensemble model and demonstrated the best performance in discrimination(AUC 0.931,95%CI 0.910-0.967),cali-bration,and clinical utility among the four models.③The CDSS achieved an accuracy of 78.2%,sensitivity of 64.7%,and specificity of 82.0%in the XGBoost model.Conclusions:The XGBoost model has the highest ability to predict GDM in the early stage.Developing its CDSS not only facilitates doctors to quickly assess GDM risk,but also is suitable for promotion to remote areas,where high-risk population screening can be achieved through re-mote data.

Thirteen novel diterpenoids, comprising seven tiglianes (walliglianes G-M, 1-7), four rhamnofolanes (wallinofolanes A-D, 8-11), and two daphnanes (wallaphnanes A and B, 12 and 13), together with two known rhamnofolane diterpenoids (euphorwallside H and euphorwallside I, 14 and 15), were isolated and characterized from Euphorbia wallichii(E. wallichii). The chemical structures of these compounds were elucidated through nuclear magnetic resonance (NMR), mass spectrometry (MS), and quantum chemical calculations. Compounds 9 and 11 demonstrated protective effects against H₂O₂-induced BV-2 microglial cell damage. Molecular docking analyses indicated that compound 9 exhibited binding affinity to the anti-oxidant-related targets HMGCR, GSTP1, and SHBG.
Euphorbia/chemistry* ; Antioxidants/isolation & purification* ; Diterpenes/isolation & purification* ; Molecular Structure ; Mice ; Molecular Docking Simulation ; Animals ; Hydrogen Peroxide/toxicity* ; Cell Line ; Microglia/drug effects*

Objective:To review the current research on mechanisms for bone and muscle loss among astronauts in a microgravity environment and predict progress in prevention and treatment. Literature resource and selection Related literature retrieved from CNKI, Wanfang Data, PubMed and other Chinese and English databases that was published as of December 2023. Such key words as weightless, microgravity, bone, muscle and osteoporosis were used. Literature quotation Fifty seven related articles that had been published at home and abroad were included. Literature synthesis The loss of bone and muscle in a microgravity environment was receiving increasing attention in the field of aerospace medicine, but the process of bone and muscle loss was influenced by a range of factors. The microgravity environment altered the function and expression of osteoblasts, osteocytes and osteoclasts, thus impacting bone formation, mineralization and absorption. In addition, the microgravity environment led to muscle cell atrophy, apoptosis, functional decline and degradation of muscle proteins. Complex signaling pathways and molecular regulatory mechanisms existed between bone and muscle cells, and these interactions were disrupted in the microgravity environment. Conclusions:Current strategies for prevention and treatment of bone and muscle loss in a microgravity environment include mechanical stimulation, pharmacologic interventions and nutritional supplementation. More effort is needed to study the related mechanisms and targets.

OBJECTIVE To systematically evaluate the risk factors for ineffective eradication therapy of adult Helicobacter pylori(Hp)infection.METHODS Retrieved from PubMed,Web of Science,the Cochrane Library,Embase,CNKI,VIP and Wanfang Data,cohort studies and case-control studies on the eradication therapy for Hp infection in adult patients were searched from Jan.2000 to Jul.2024.After screening literature,extracting data,and evaluating the quality of literature,RevMan 5.3 software was used for meta-analysis,and sensitivity analysis and publication bias analysis were also performed.RESULTS A total of 19 articles were included,all of which were cohort studies,involving 9 931 patients in total.Among them,1 929 patients were ineffective in eradication therapy,with the ineffective rates ranging from 8.02%to 33.33%.Meta-analysis showed that age＜50 years[OR=1.33,95%CI(1.12,1.57),P＜0.001],body mass index(BMI)＞25 kg/m2[OR=1.87,95%CI(1.35,2.59),P=0.000 2],a history of smoking[OR=1.62,95%CI(1.35,1.95),P＜0.001],a history of drinking[OR=1.93,95%CI(1.47,2.54),P＜0.001],living in a rural area[OR=1.74,95%CI(1.41,2.15),P＜0.001],having non-peptic ulcer[OR=3.45,95%CI(1.75,6.67),P=0.000 3],a family members'infection history[OR=4.72,95%CI(3.32,6.74),P＜0.001],poor treatment compliance[OR=4.89,95%CI(3.07,7.79),P＜0.001],amoxicillin resistance[OR=3.42,95%CI(1.95,6.00),P＜0.001]and clarithromycin resistance[OR=8.14,95%CI(5.00,13.24),P＜0.001]had significant impacts on ineffective eradication therapy of Hp infection in adults.Sensitivity analysis and publication bias analysis showed that the result of this study was robust and reliable.CONCLUSIONS Age＜50 years,BMI＞25 kg/m2,a history of smoking,a history of drinking,living in a rural area,having non-peptic ulcer,a family members'infection history,poor treatment compliance,amoxicillin resistance and clarithromycin resistance are risk factors for failure of Hp infection eradication therapy in adults.

Objective:To develop an economical,simple,and accessible method for early identification of high-risk pregnant women with gestational diabetes mellitus(GDM),this study developed and evaluated multiple machine learning models,identified the optimal prediction model,and constructed a clinical decision support sys-tem(CDSS)based on this model.Methods:A total of 464 pregnant women who visited the Second Affiliated Hospital of Dalian Medical University from January 1,2023 to December 30,2024 were included,of which 386 were used to establish a prediction model(231 in the training set and 155 in the testing set),and the remaining 78 were used as a validation.Adopting the methods of double-point sequence correlation and chi-square test,four machine learning models were constructed after selecting feature variables:Logistic Regression,Random Forest,Support Vector Machine,and eXtreme Gradient Boosting(XGBoost).Preliminary judgment of the maximum weight mod-el,further comparison of the discriminative ability,calibration ability,and clinical practicality of each model to evalu-ate and select the optimal model,develop its CDSS,and verify the accuracy of the model.Results:①Correlation analysis identified predictors of GDM:age,pre-pregnancy body mass index(BMI),systolic/diastolic blood pres-sure,white blood cell count,hemoglobin,lymphocyte ratio,fasting plasma glucose,uric acid,direct bilirubin,chronic hypertension complicating pregnancy,and assisted reproductive technology conception.②XGBoost dominated the ensemble model and demonstrated the best performance in discrimination(AUC 0.931,95%CI 0.910-0.967),cali-bration,and clinical utility among the four models.③The CDSS achieved an accuracy of 78.2%,sensitivity of 64.7%,and specificity of 82.0%in the XGBoost model.Conclusions:The XGBoost model has the highest ability to predict GDM in the early stage.Developing its CDSS not only facilitates doctors to quickly assess GDM risk,but also is suitable for promotion to remote areas,where high-risk population screening can be achieved through re-mote data.

Objective To observe brain function changes in insomnia disorder(ID)patients and therapeutic effect of repeated transcranial magnetic stimulation(rTMS)based on resting-state functional MRI(rs-fMRI).Methods Totally 37 patients with ID(ID group)and 20 healthy subjects(control group)were prospectively enrolled.The scores of sleep condition and psychological state scales were compared between groups,also within ID group before and after rTMS treatment.Brain regions with amplitude of low frequency fluctuations(ALFF)and regional homogeneity(ReHo)being significantly different between groups were evaluated based on brain rs-fMRI,and voxel-based resting-state functional connectivity(FC)analysis was performed in the above regions and the predefined regions of interest.Results Before treatment,Pittsburgh sleep quality index(PSQI),insomnia severity index(ISI),Epworth sleepiness score(ESS),Beck depression inventory(BDI)score and Beck anxiety inventory(BAI)score in ID group were all higher than those in control group(all P＜0.05).ALFF values and ReHo of the right median cingulate and paracingulate gyrus(Cingulum_Mid_R)were lower in ID group than those in control group(all FWE correctedP＜0.05).FC between Cingulum_Mid_R and the left anterior cingulate gyrus and cingulate gyrus(Cingulum_Ant_L)decreased,so did that between the left hippocampus(Hippocampus_L)and the right frontal gyrus(Frontal_Mid_R)(all FWE corrected P＜0.05).After rTMS,PSQI,ISI and ESS scores of ID patients decreased compared to those before treatment(all P＜0.05),but no significant change of the above neuroimaging indicators was detected(all FWE corrected P＞0.05).Conclusion ID caused synchronous decrease of Cingulum_Mid_R ALFF value and ReHo,as well as weakened FC between frontal cingulate gyrus and frontal with lobe limbic system.rTMS could improve sleep and mental state of ID patients,but its impact on neuroimaging needed further investigation.

Objective To analyze the risk factors of tracheal reintubation after total aortic arch replace-ment and to provide evidence for the prevention of tracheal reintubation after total aortic arch replacement.Methods From January 1,2019 to June 31,2020,162 patients who underwent total aortic arch replacement in the Department of Cardiac Surgery of a tertiary grade-A hospital in Guangdong Province were randomly selected and divided into reintubation group(n=27)and control group(n=135)based on the occurrence of tracheal reintubation.The risk factors were analyzed by univariate and multivariate logistic regression.Results Among the 162 patients,27 cases(16.7%)had tracheal reintubation.Compared with those in the control group,the length of ICU stay and hospitalization cost in the reintubation group were significantly increased(P<0.001).Univariate analysis indicated that there were significant differences in terms of age,glomerular filtration rate,diabetes mellitus,venti-lator time,pulmonary infection,liver insufficiency,hypoxemia,delirium and cerebrovascular accident(P<0.05).Multivariate analysis showed age(OR=1.069,P=0.038),pulmonary infection(OR=5.227,P=0.047),delirium(OR=7.079,P=0.011),and ventilator use time(OR=1.006,P=0.001)were independent risk factors for tracheal reintubation after total arch replacement.A regression equation was established as follows:[Logit(P)=-8.885+0.066×age+1.654×pulmonary infection+1.957×delirium+0.006×time]of first ventilator use.The area under the ROC curve of the subjects in this model was 0.931(95%CI:0.884～0.979),P<0.001;The results of Hosmer-Lemeshow test(χ2=4.76 and P=0.782)indicated that the model had high accuracy.Conclusion Age,pulmonary infection,delirium and ventilator use time are independent risk factors for tracheal reintubation after total aortic arch replacement.