Objective: To explore the interaction between school bullying and insomnia in relation to depression-anxiety-stress emotions among primary and secondary school students,so as to provide a basis for preventing negative emotional states in adolescents. Methods: In October 2024, a stratified cluster sampling method was used to select 3 058 students in grade 5-6 of primary, junior and senior high school in Sheyang County of Jiangsu Province. The Delaware Bullying Victimization Scale, Insomnia Severity Index, Depression-Anxiety-Stress Scale-21, and Study Condition Questionnaire were employed to investigate school bullying, insomnia, depression-anxiety-stress emotions, and academic performance. The χ 2 test and Logistic regression were used to analyze the association between school bullying and insomnia interactions and depression-anxiety-stress emotions among primary and secondary school students, multiplicative interaction analysis was conducted, and additive interaction analysis was performed using R software. Results: The detection rates of depression-anxiety-stress emotions among primary and secondary school students were 21.6%, 28.4% and 10.8%, respectively. The detection rates of physical bullying, relationship bullying, verbal bullying and cyberbullying in school bullying were 10.6%, 14.0%, 22.3%, and 6.2%, respectively. The detection rate for insomnia was 23.1%. Results from Logistic regression analysis showed that, after adjusting for relevant factors, physical, relational, verbal, and cyberbullying and insomnia were positively correlated with the detection rates of depression ( OR = 5.72- 10.93), anxiety ( OR =6.35-12.17), and stress emotions ( OR =5.97-14.52) among primary and secondary school students (all P <0.01). The multiplicative interaction between physical, relational, verbal, and cyberbullying and insomnia was positively correlated with the detection rates of depression ( OR =8.00-18.01), anxiety ( OR =11.35-17.76), and stress emotions ( OR =7.64-9.12) in primary and secondary school students (all P <0.01). Additive interactions were observed between physical, relational, verbal, and cyberbullying and insomnia in relation to the detection rates of depression, anxiety, and stress emotions among primary and secondary school students (both RERI and AP >0 and the credible interval excluded 0, SI >1 and the credible interval excluded 1). Conclusion School bullying and insomnia are associated with depression, anxiety, and stress emotions among primary and secondary school students, and they exhibit both multiplicative and additive interactions.

Objective: To explore the developmental trajectories of depression in children and adolescents and their association with family types, and to analyze the role of being an only child in the context, so as to provide a basis for early identification of mental health issues in children and adolescents. Methods: The study was a secondary analysis based on the existing database of the Jiangsu Provincial Student Common Diseases and Health Influencing Factors Monitoring and Intervention Project. A total of 11 502 students who had completed at least two measurements using the Chinese version of the Center for Epidemiologic Studies Depression Scale (CES-D) between 2022 and 2024, and had complete information on family type, gender, and age, were selected as the study subjects. Latent class trajectory modeling was used to identify depression developmental trajectories. Multinomial Logistic regression was applied to analyze the association between family type and depression developmental trajectories, and the interaction effect of family type and being an only child was tested. Results: Three types of depression developmental trajectories were identified among children and adolescents: low stable type (91.3%, 10 504 students), moderate rising type (4.3%, 500 students), and high declining type (4.3%, 498 students). Significant differences were observed among the different trajectory groups in terms of gender, age, parental education level, family type, baseline CES-D score, and baseline school type ( χ 2/H=17.48, 139.97, 19.72 , 30.77, 1 081.35, 220.81, all P <0.05). Multinomial Logistic regression analysis showed that, using the low stable type as the reference trajectory group and the nuclear family as the reference family type, after adjusting for confounding factors such as gender, age, and parental education level, single parent families ( OR=1.87, 95%CI= 1.16-3.03) and grandparent headed families ( OR=1.83, 95%CI =1.04-3.21) were significantly associated with the high declining type trajectory (both P <0.05). No significant association was found between family type and the moderate rising type trajectory (all P >0.05). The interaction effect between family type and being an only child was not statistically significant ( LRT=7.71, df=8, P =0.46). Conclusions Depressive symptoms in children and adolescents show heterogeneous developmental patterns during school age. Children and adolescents from single parent and intergenerational families are more likely to follow the high decreasing trajectory.

This study systematically reviews the modern research progress of sanjiao （三焦） theory in the past 20 years， and differentiates concepts such as membrane-source， membrane-interstices， and membrane-system in the study of sanjiao essence. On the basis of its core functions of transporting original qi and regulating water metabolism， the study further expands the theoretical connotation of transporting original qi， defines the application boundary of sanjiao syndrome differentiation， and clarifies the conceptual categories of "sanjiao qi-transformation" and "qi-transforming sanjiao"， which reconciles the contradictions between sanjiao as a six fu （腑） organ and sanjiao as a regional division to a certain extent， and provides a valuable exploration for the innovative development of the theoretical system of traditional Chinese medicine.

Objective:To analyze the association between unhealthy lifestyles and depressive symptoms, anxiety symptoms and stress among secondary school students in Jiangsu Province.Methods:From September to November 2023, a multistage stratified cluster random sampling method was used to select secondary school students from 13 districts and cities in Jiangsu Province. A questionnaire survey was conducted on their unhealthy lifestyles (low physical activity, smoking, drinking, internet addiction, poor sleep quality, and unhealthy diet), as well as their depressive symptoms, anxiety symptoms and stress. The multivariate logistic regression model and mixed graph model were used to construct a network and analyze the association between unhealthy lifestyles and depressive symptoms, anxiety symptoms and stress.Results:A total of 81 414 secondary school students were finally included in this study, including 39 725 (48.79%) female students and 41 689 (51.21%) male students. The prevalence of depressive symptoms, anxiety symptoms and stress were 18.55%, 32.09% and 12.91%, respectively. The multivariate logistic regression model showed that after adjusting for age, gender, urban-rural status, residential status, and family type, compared with students without unhealthy lifestyles, students with low physical activity, smoking, alcohol consumption, internet addiction, poor sleep quality, and unhealthy diet had a significantly increased risk of depressive symptoms ( OR=1.12, 95% CI:1.07-1.17; OR=1.60, 95% CI: 1.49-1.72; OR=1.79, 95% CI: 1.71-1.88; OR=3.05, 95% CI: 2.77-3.36; OR=6.66, 95% CI: 6.40-6.93; OR=1.29, 95% CI: 1.24-1.34) and a significantly increased risk of anxiety symptoms ( OR=1.09, 95% CI: 1.05-1.13; OR=1.42, 95% CI: 1.33-1.52; OR=1.76, 95% CI: 1.69-1.83; OR=2.40, 95% CI: 2.17-2.65; OR=5.79, 95% CI: 5.59-6.00; OR=1.16, 95% CI: 1.12-1.21). Students who smoked, drank alcohol, had internet addiction, and had poor sleep quality had a significantly increased risk of stress ( OR=1.49, 95% CI: 1.38-1.61; OR=1.79, 95% CI: 1.70-1.89; OR=2.25, 95% CI: 2.04-2.48; OR=6.74, 95% CI: 6.43-7.06). The node with poor sleep quality (bridge strength=0.48) in the network constructed by the mixed graph model had the strongest centrality of the bridge connecting unhealthy lifestyles with depressive symptoms, anxiety symptoms and stress. Conclusion:Low physical activity, smoking, alcohol consumption, internet addiction, poor sleep quality, and unhealthy diet increase the risk of depressive symptoms and anxiety symptoms among Jiangsu Province secondary school students. Smoking, alcohol consumption, internet addiction, and poor sleep quality increase the risk of stress among Jiangsu Province secondary school students. Sleep quality is an important intervention target for Jiangsu Province secondary school students to alleviate their negative emotions.

Objective To investigate the relationship between CT lung volume parameters(CT-LVP)and pulmonary function grade in patients with idiopathic pulmonary fibrosis(IPF)and its prediction of acute exacerbation.Methods A total of 204 patients with IPF were selected and divided into mild group(67 cases),moderate group(72 cases)and severe group(65 cases)according to the semi-quantitative scoring method of high-resolution computed tomography(HRCT).The correlation between CT-LVP and pul-monary function parameters(PFP)were analyzed.The predictive value of CT-LVP for acute exacerbation in severe IPF was ana-lyzed.Results The whole lung volume(WLV),normal lung volume(NLV)and normal lung volume percentage(NLV%)in severe group were lower than those in mild and moderate groups,whereas interstitial lung disease volume(ILDV)and interstitial lung disease volume percentage(ILDV%)were higher than those in mild and moderate groups,with statistical significance(P<0.05).WLV,NLV,ILDV,NLV%,ILDV%showed strong correlations with forced expiratory volume in 1 second percentage(FEV1%),forced expiratory volume in 1 second to forced vital capacity ratio(FEV1/FVC),diffusing capacity of the lung for carbon monoxide percent-age(DLCO%),and residual volume to total lung capacity ratio(RV/TLC).Receiver operating characteristic(ROC)curve analysis showed that the combination of WLV,NLV,ILDV,NLV%and ILDV%had higher accuracy in predicting acute exacerbation,area under the curve(AUC)>0.75(P<0.05).Conclusion CT-LVP is closely related to PFP,and the accuracy of CT-LVP combination in predicting acute exacerbation is high,which provides a theoretical basis for preventing acute exacerbation of IPF.

Objective:To analyze the association between unhealthy lifestyles and depressive symptoms, anxiety symptoms and stress among secondary school students in Jiangsu Province.Methods:From September to November 2023, a multistage stratified cluster random sampling method was used to select secondary school students from 13 districts and cities in Jiangsu Province. A questionnaire survey was conducted on their unhealthy lifestyles (low physical activity, smoking, drinking, internet addiction, poor sleep quality, and unhealthy diet), as well as their depressive symptoms, anxiety symptoms and stress. The multivariate logistic regression model and mixed graph model were used to construct a network and analyze the association between unhealthy lifestyles and depressive symptoms, anxiety symptoms and stress.Results:A total of 81 414 secondary school students were finally included in this study, including 39 725 (48.79%) female students and 41 689 (51.21%) male students. The prevalence of depressive symptoms, anxiety symptoms and stress were 18.55%, 32.09% and 12.91%, respectively. The multivariate logistic regression model showed that after adjusting for age, gender, urban-rural status, residential status, and family type, compared with students without unhealthy lifestyles, students with low physical activity, smoking, alcohol consumption, internet addiction, poor sleep quality, and unhealthy diet had a significantly increased risk of depressive symptoms ( OR=1.12, 95% CI:1.07-1.17; OR=1.60, 95% CI: 1.49-1.72; OR=1.79, 95% CI: 1.71-1.88; OR=3.05, 95% CI: 2.77-3.36; OR=6.66, 95% CI: 6.40-6.93; OR=1.29, 95% CI: 1.24-1.34) and a significantly increased risk of anxiety symptoms ( OR=1.09, 95% CI: 1.05-1.13; OR=1.42, 95% CI: 1.33-1.52; OR=1.76, 95% CI: 1.69-1.83; OR=2.40, 95% CI: 2.17-2.65; OR=5.79, 95% CI: 5.59-6.00; OR=1.16, 95% CI: 1.12-1.21). Students who smoked, drank alcohol, had internet addiction, and had poor sleep quality had a significantly increased risk of stress ( OR=1.49, 95% CI: 1.38-1.61; OR=1.79, 95% CI: 1.70-1.89; OR=2.25, 95% CI: 2.04-2.48; OR=6.74, 95% CI: 6.43-7.06). The node with poor sleep quality (bridge strength=0.48) in the network constructed by the mixed graph model had the strongest centrality of the bridge connecting unhealthy lifestyles with depressive symptoms, anxiety symptoms and stress. Conclusion:Low physical activity, smoking, alcohol consumption, internet addiction, poor sleep quality, and unhealthy diet increase the risk of depressive symptoms and anxiety symptoms among Jiangsu Province secondary school students. Smoking, alcohol consumption, internet addiction, and poor sleep quality increase the risk of stress among Jiangsu Province secondary school students. Sleep quality is an important intervention target for Jiangsu Province secondary school students to alleviate their negative emotions.

OBJECTIVE To explore the distribution of pathogens isolated from the cervical cancer(CC)patients with postoperative urinary catheter-associated urinary tract infection(UTI)and analyze the predictive values of se-rum high mobility group protein B1(HMGB1),Toll-like receptor 4(TLR4)and nuclear factor kappa B(NF-κB).METHODS Totally 116 patients with CC who underwent radical resection in the First Affiliated Hospital of Henan University of Science and Technology from Jan.2021 to Jan.2024 were enrolled in the study and were divided into the infection group with 31 cases and the non-infection group with 85 cases according to the status of complication with UTI after urinary catheterization.The midstream urine specimens were collected by aseptic method,the pathogens were isolated and identified.The serum HMGB1 level was detected by means of enzyme-linked immu-nosorbent assay,the relative expression levels of peripheral blood TLR4 and NF-κB proteins were detected by Western blot.The efficiencies of serum HMGB1,TLR4 and NF-κB in prediction of postoperative urinary catheter-associated UTI in the CC patients were analyzed by means of receiver operating characteristic(ROC)curves.RESULTS Totally 49 strains of pathogens were isolated from 31 CC patients with postoperative urinary catheter-associated UTI,and the patients who had infection of single species were dominant.Gram-negative bacteria were the most common pathogens,accounting for 61.22％.There were significant differences in the age,complication with diabetes mellitus,duration of urinary catheter indwelling,postoperative uroschesis and previous history of UTI between the infection group and the non-infection group(P＜0.05);there were significant differences in the levels of serum HMGB1,TLR4 and NF-κB between the two groups(P＜0.05).The area under the curve(AUC)of the joint detection of serum HMGB1,TLR4 and NF-κB was 0.906 in prediction of the postoperative urinary catheter-associated UTI in the CC patients,with the sensitivity 83.87％;the predictive efficiencies of the joint de-tection of the indexes were better than those of the single detection(P＜0.05).CONCLUSIONS The gram-negative bacteria are dominant among the pathogens isolated from the CC patients with postoperative urinary catheter-asso-ciated UTI.The joint detection of the serum HMGB1,TLR4 and NF-κB has the highest value in prediction of postoperative urinary catheter-associated UTI in the CC patients.

Objective This study examines the factors influencing oral frailty in the elderly community,develops a risk prediction model,and validates its efficacy,so as to provide references for identifying and preventing oral weakness in the elderly.Methods 556 elderly individuals from 4 communities were selected by convenience sampling from June to August 2024 in Zigong City Sichuan Province.They were randomly divided into a training group(383 cases)and a validation group(165 cases).Data were collected by a general information questionnaire,Social Frailty Scale,Geriatric Depression Scale,and the Oral Frailty Index-8 screening tool.Logistic regression was used to determine the influencing factors,and R software was used to establish a nomogram model for predicting the risk of oral frailty.Bootstrap method and the validation group were used for internally validation of the model.Calibration curve was used to evaluate the prediction performance of the model.Results 548 valid questionnaires were collected.The final model variables included whether the age ≥80 years,wearing removable dentures,reduced frequency of going out,brushing teeth less than twice a day,frequent dry mouth,increased difficulty in eating hard foods,and choking.The area under the receiver operating characteristic curve of the training group was 0.95(95％CI:0.93～0.97),and the best cutoff value was 0.687.The model achieved an accuracy of 87％,sensitivity of 91％,specificity of 85％,positive predictive value of 0.75,and negative predictive value of 0.95.The Hosmer-Lemeshow fitting test show that x2=3.036,P=0.932,indicating a good model fit.Conclusion The oral frailty prediction model demonstrated a good discrimination,calibration,and clinical utility,which can provide a scientific basis for the prevention and early screening of oral frailty in the elderly.

OBJECTIVE To explore the distribution of pathogens isolated from the cervical cancer(CC)patients with postoperative urinary catheter-associated urinary tract infection(UTI)and analyze the predictive values of se-rum high mobility group protein B1(HMGB1),Toll-like receptor 4(TLR4)and nuclear factor kappa B(NF-κB).METHODS Totally 116 patients with CC who underwent radical resection in the First Affiliated Hospital of Henan University of Science and Technology from Jan.2021 to Jan.2024 were enrolled in the study and were divided into the infection group with 31 cases and the non-infection group with 85 cases according to the status of complication with UTI after urinary catheterization.The midstream urine specimens were collected by aseptic method,the pathogens were isolated and identified.The serum HMGB1 level was detected by means of enzyme-linked immu-nosorbent assay,the relative expression levels of peripheral blood TLR4 and NF-κB proteins were detected by Western blot.The efficiencies of serum HMGB1,TLR4 and NF-κB in prediction of postoperative urinary catheter-associated UTI in the CC patients were analyzed by means of receiver operating characteristic(ROC)curves.RESULTS Totally 49 strains of pathogens were isolated from 31 CC patients with postoperative urinary catheter-associated UTI,and the patients who had infection of single species were dominant.Gram-negative bacteria were the most common pathogens,accounting for 61.22％.There were significant differences in the age,complication with diabetes mellitus,duration of urinary catheter indwelling,postoperative uroschesis and previous history of UTI between the infection group and the non-infection group(P＜0.05);there were significant differences in the levels of serum HMGB1,TLR4 and NF-κB between the two groups(P＜0.05).The area under the curve(AUC)of the joint detection of serum HMGB1,TLR4 and NF-κB was 0.906 in prediction of the postoperative urinary catheter-associated UTI in the CC patients,with the sensitivity 83.87％;the predictive efficiencies of the joint de-tection of the indexes were better than those of the single detection(P＜0.05).CONCLUSIONS The gram-negative bacteria are dominant among the pathogens isolated from the CC patients with postoperative urinary catheter-asso-ciated UTI.The joint detection of the serum HMGB1,TLR4 and NF-κB has the highest value in prediction of postoperative urinary catheter-associated UTI in the CC patients.

Objective To investigate the relationship between CT lung volume parameters(CT-LVP)and pulmonary function grade in patients with idiopathic pulmonary fibrosis(IPF)and its prediction of acute exacerbation.Methods A total of 204 patients with IPF were selected and divided into mild group(67 cases),moderate group(72 cases)and severe group(65 cases)according to the semi-quantitative scoring method of high-resolution computed tomography(HRCT).The correlation between CT-LVP and pul-monary function parameters(PFP)were analyzed.The predictive value of CT-LVP for acute exacerbation in severe IPF was ana-lyzed.Results The whole lung volume(WLV),normal lung volume(NLV)and normal lung volume percentage(NLV%)in severe group were lower than those in mild and moderate groups,whereas interstitial lung disease volume(ILDV)and interstitial lung disease volume percentage(ILDV%)were higher than those in mild and moderate groups,with statistical significance(P<0.05).WLV,NLV,ILDV,NLV%,ILDV%showed strong correlations with forced expiratory volume in 1 second percentage(FEV1%),forced expiratory volume in 1 second to forced vital capacity ratio(FEV1/FVC),diffusing capacity of the lung for carbon monoxide percent-age(DLCO%),and residual volume to total lung capacity ratio(RV/TLC).Receiver operating characteristic(ROC)curve analysis showed that the combination of WLV,NLV,ILDV,NLV%and ILDV%had higher accuracy in predicting acute exacerbation,area under the curve(AUC)>0.75(P<0.05).Conclusion CT-LVP is closely related to PFP,and the accuracy of CT-LVP combination in predicting acute exacerbation is high,which provides a theoretical basis for preventing acute exacerbation of IPF.