Objective:To explore the relationship between life events, anxiety, depression, and behavior problems in adolescents.Methods:From September to October 2022, the cluster sampling method was used to select 5 341 adolescents from 4 middle schools in Xinxiang urban area.The subjects and their parents were investigated by the adolescent self-rating life events check list (ASLEC), generalized anxiety disorder scale (GAD-7), patient health questionnaire (PHQ-9), and child behavior checklist (CBCL). SPSS 27.0 software was used for Spearman correlation analysis, and AMOS 28.0 software was used to construct the structural equation model.Results:The scores of anxiety, depression, and behavioral problems were 1 (0, 4), 1 (0, 4), and 3 (0, 10). The total score of life events was 5 (1, 13), and the dimensions scored as follows: interpersonal conflict 1 (0, 4), academic pressure 2 (0, 5), punishment 0 (0, 2), loss 0 (0, 0), health and adaptation problem 0 (0, 1), and others 0 (0, 2). There were positive correlations between life events and its dimensions, depression, anxiety and behavioral problems ( r=0.28-0.69, all P<0.01). In the overall population, anxiety and depression played parallel mediating roles in the impact of life events on behavior problems. Life events could positively predict anxiety ( β=0.68, P<0.01), and anxiety could positively predict behavior problems ( β=0.04, P=0.02). Life events could positively predict depression ( β=0.77, P<0.01), and depression could positively predict behavior problems ( β=0.18, P<0.01). The standardized total effect size of the impact of life events on behavioral problems was 0.622 (95% CI=0.564-0.675). The standardized direct effect size and indirect effect size were 0.460 (95% CI=0.374-0.539) and 0.162 (95% CI=0.108-0.218), accounting for 74.0% and 26.0%of the total effect, respectively. After stratification by gender, the results for male adolescents were consistent with the overall population, while the mediating effect of anxiety was not significant in the female adolescents. Conclusion:Life events can lead to anxiety and depression in adolescents, thereby increasing the risk of behavior problems.

Objective:To systematically assess the operating dynamics and sustainability of the employees'basic medical insurance pooling fund and provide evidence for policy optimization.Methods:Using Province A as a case study,a dynamic actuarial model grounded in the revenue-expenditure balance framework was constructed.Seven policy simulation scenarios were designed to forecast and compare fund trajectories from 2024 to 2050.Results:Without further policy intervention,the pooling fund faces a high risk of medium-to long-term imbalance.Fertility incentives and relaxed migration policies have limited short-term effects,serving primarily to slightly delay the emergence of deficits.Financing-sharing reforms significantly improve revenue quality,while provider-payment reforms effectively curb non-demographic cost growth.Gradual postponement of retirement strengthens fund sustainability by extending contribution periods and delaying benefit outflows.Cross-provincial instant settlement exerts the greatest pressure on fund expenditure.A comprehensive reform package delivers the most favorable and sustainable balance across revenue,expenditure,and accumulation.Conclusion:Future reforms should center on delayed retirement and provider-payment restructuring,coordinated with contribution-base expansion,demographic optimization,and strengthened oversight of cross-regional medical services,thereby forming a multi-policy collaborative governance framework to ensure the long-term sustainability of the pooling fund.

Objective:To examine the effect of a multidimensional nursing intervention based on Pender's Health Promotion Model on recovery outcomes in patients with gastrointestinal bleeding.Methods:Using convenience sampling, 200 patients with gastrointestinal bleeding who received treatment at the China-Japan Union Hospital of Jilin University from June 2023 to June 2024 were enrolled. Patients were randomly assigned by a random-number table to a control group ( n=100) receiving routine nursing or an observation group ( n=100) receiving the multidimensional nursing intervention based on Pender's Health Promotion Model in addition to routine nursing. Outcomes included bleeding control (time to melena cessation), scores on the Health-Promoting Lifestyle Profile, Generic Quality of Life Inventory, Connor-Davidson Resilience Scale 10, and the incidence of adverse events. Results:After the intervention, the time to melena cessation in the observation group was shorter than that in the control group, and the difference was statistically significant ( P<0.05). Scores on the Health-Promoting Lifestyle Profile, Generic Quality of Life Inventory, Connor-Davidson Resilience Scale 10 (all dimensions and total scores) were higher in the observation group than thoes in the control group, and the differences were statistically significant ( P<0.05). The incidence of adverse events was 3.00% (3/100) in the observation group versus 11.00% (11/100) in the control group, and the difference was statistically significant ( P<0.05) . Conclusions:In patients with gastrointestinal bleeding, a multidimensional nursing intervention based on Pender's Health Promotion Model optimizes bleeding control, strengthens psychological resilience, improves health status and quality of life, and reduces adverse events. This approach merits wider clinical adoption.

Objective To analyze the association between lifestyle and the risk of type 2 diabetes(T2D)among adult residents.Methods The data was sourced from the Shanghai Suburban Adult Cohort and Biobank.A total of 42 096 adult residents who had not developed T2D were recruited from four districts of Shanghai(Songjiang,Jiading,Minhang,and Xuhui)between 2016 and 2019.The follow-up ended on Feb 28,2023.A structured questionnaire was used to collect information on six lifestyle-related items,including smoking,alcohol consumption,BMI,waist circumference(WC),physical activity,and diet.The unhealthy lifestyle scores(UHLS)were calculated by counting the number of all the unhealthy lifestyle items,with a range of 0-6.New-onset T2D events diagnosed by physicians were obtained through the medical information system.Cox proportional hazards regression model and restricted cubic spline model were utilized to evaluate the association between unhealthy lifestyles and the risk of T2D incidence.Results About 28.1%of the participants led 4-6 unhealthy lifestyles.A total of 1 752 new T2D cases were identified during 218 513.4 person-years of follow-up.Analysis of single unhealthy lifestyle showed that abnormal WC(HR=1.5,95%CI:1.4-1.7)and abnormal BMI(HR=1.3,95%CI:1.2-1.5)were associated with an increased risk of T2D.Compared with individuals with a UHLS of 0-1,those with a UHLS of 3 and 4-6 had 30%(95%CI:1.1-1.6)and 50%(95%CI:1.2-1.8)higher risks of T2D,respectively.Each additional unhealthy lifestyle was associated with a 10%increase in T2D incidence risk(HR=1.1,95%CI:1.1-1.2).Conclusion The risk of T2D in adult residents increases with the cumulative number of unhealthy lifestyles.Adult residents with abnormal WC or BMI,or have three or more unhealthy lifestyles accumulated,will increase the risk of new-onset T2D.

Objective:To explore the relationship between life events, anxiety, depression, and behavior problems in adolescents.Methods:From September to October 2022, the cluster sampling method was used to select 5 341 adolescents from 4 middle schools in Xinxiang urban area.The subjects and their parents were investigated by the adolescent self-rating life events check list (ASLEC), generalized anxiety disorder scale (GAD-7), patient health questionnaire (PHQ-9), and child behavior checklist (CBCL). SPSS 27.0 software was used for Spearman correlation analysis, and AMOS 28.0 software was used to construct the structural equation model.Results:The scores of anxiety, depression, and behavioral problems were 1 (0, 4), 1 (0, 4), and 3 (0, 10). The total score of life events was 5 (1, 13), and the dimensions scored as follows: interpersonal conflict 1 (0, 4), academic pressure 2 (0, 5), punishment 0 (0, 2), loss 0 (0, 0), health and adaptation problem 0 (0, 1), and others 0 (0, 2). There were positive correlations between life events and its dimensions, depression, anxiety and behavioral problems ( r=0.28-0.69, all P<0.01). In the overall population, anxiety and depression played parallel mediating roles in the impact of life events on behavior problems. Life events could positively predict anxiety ( β=0.68, P<0.01), and anxiety could positively predict behavior problems ( β=0.04, P=0.02). Life events could positively predict depression ( β=0.77, P<0.01), and depression could positively predict behavior problems ( β=0.18, P<0.01). The standardized total effect size of the impact of life events on behavioral problems was 0.622 (95% CI=0.564-0.675). The standardized direct effect size and indirect effect size were 0.460 (95% CI=0.374-0.539) and 0.162 (95% CI=0.108-0.218), accounting for 74.0% and 26.0%of the total effect, respectively. After stratification by gender, the results for male adolescents were consistent with the overall population, while the mediating effect of anxiety was not significant in the female adolescents. Conclusion:Life events can lead to anxiety and depression in adolescents, thereby increasing the risk of behavior problems.

Objective:To investigate the effect of robot-assisted total knee arthroplasty (TKA) on the incidence of postoperative deep vein thrombosis (DVT) in the lower limbs.Methods:A total of 405 patients who underwent primary unilateral TKA in the Department of Orthopaedics, Peking University Third Hospital from June 2022 to June 2024 were retrospectively analyzed, consisting of 89 males and 316 females, with a mean age of 67.84±5.60 years. Patients were divided into the conventional group ( n=215) and the robot-assisted group ( n=190) according to the surgical approach. Postoperative DVT incidence, operative time, postoperative hemoglobin and hematocrit levels, perioperative blood loss, and transfusion rate were compared between the two groups to evaluate the impact of robot-assisted TKA on thrombotic events and related clinical indicators. Results:There were no significant differences in age, sex, height, weight, body mass index, or preoperative laboratory results including hemoglobin and hematocrit levels between the two groups ( P>0.05). The postoperative DVT incidence was 26.8% (51/190) in the robot-assisted group and 34.9% (75/215) in the conventional group, with no significant difference ( P>0.05). Univariate logistic regression analysis showed that sex ( P=0.013) and age ( P=0.024) were significantly associated with DVT occurrence. Multivariate logistic regression further revealed that female patients had a significantly higher incidence of DVT than males ( OR=0.438, P=0.005), and older patients had a significantly increased risk of DVT ( OR=1.046, P=0.025); body mass index remained not significantly associated with DVT ( P=0.092). The operative time in the robot-assisted group was 88.62±18.58 min, which was significantly longer than that in the conventional group 79.23±17.68 min ( t=-5.207, P<0.001). Perioperative total blood loss was 1 079.85±344.18 ml in the robot-assisted group and 1 141.47±363.70 ml in the conventional group, with no significant difference ( t=1.745, P=0.082). The transfusion rate was 5.3% in the robot-assisted group and 5.1% in the conventional group, respectively, with no significant differences (χ 2=0.004, P=0.947). Conclusion:Compared with conventional TKA, robot-assisted TKA results in longer operative time but does not increase perioperative blood loss or the risk of postoperative DVT.

Objective To determine the knee joint cartilage thickness using different methods and explore the feasibility of mathematical statistical models of dataset for the prediction of cartilage thickness.Methods A total of 304 patients diagnosed as knee osteoarthritis(OA)combined with varus deformity and undergoing unilateral total knee arthroplasty at the Second Affiliated Hospital of Army Medical University from March 2023 to March 2024 were selected for the study.All patients had complete preoperative and postoperative clinical data.The healthy cartilage at four anatomical sites of patients,including the distal femur lateral condyle,lateral tibial plateau,posterior medial femoral condyle,and posterior lateral femoral condyle were selected,and the knee joint cartilage thickness was determined based on preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen and digital vernier caliper.The baseline indicators of demographics,disease and imaging ffor patients were collected to construct a dataset,and four models of linear regression analysis,principal component analysis,Least Absolute Shrinkage and Selection Operator(LASSO)regression analysis,and K-nearest neighbors(KNN)analysis were established for predicting the accuracy,determination coefficient(R2)and root mean square error(RMSE),and the regression equation for predicting cartilage thickness was established.Results The knee joint cartilage thicknesses determined by preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen had no statistically significant difference with that by digital vernier caliper(P>0.05).The predictive efficiencies of models of linear regression analysis,principal component analysis,and LASSO regression analysis for the knee joint cartilage thickness all failed to meet the expectations(R2<0.3,RMSE>0.03).The predictive effect of KNN model on the cartilage thickness of the distal femur lateral condyle and lateral tibial plateau was not ideal(R2=0.23,RMSE=0.29),while it had potential predictive value(accuracy=0.21,accuracy=0.15).Conclusion The prediction model of knee joint cartilage thickness based on individual parameters has certain scientificity,and the feasibility of KNN model is relatively high.However,due to insufficient sample size and unclear individual parameter weight,the efficiencies of the four established prediction models are not ideal,which fails to provide definite prediction equations.Therefore,the construction scheme of the prediction model still needs to be further optimized.

Objective:To investigate the effect of robot-assisted total knee arthroplasty (TKA) on the incidence of postoperative deep vein thrombosis (DVT) in the lower limbs.Methods:A total of 405 patients who underwent primary unilateral TKA in the Department of Orthopaedics, Peking University Third Hospital from June 2022 to June 2024 were retrospectively analyzed, consisting of 89 males and 316 females, with a mean age of 67.84±5.60 years. Patients were divided into the conventional group ( n=215) and the robot-assisted group ( n=190) according to the surgical approach. Postoperative DVT incidence, operative time, postoperative hemoglobin and hematocrit levels, perioperative blood loss, and transfusion rate were compared between the two groups to evaluate the impact of robot-assisted TKA on thrombotic events and related clinical indicators. Results:There were no significant differences in age, sex, height, weight, body mass index, or preoperative laboratory results including hemoglobin and hematocrit levels between the two groups ( P>0.05). The postoperative DVT incidence was 26.8% (51/190) in the robot-assisted group and 34.9% (75/215) in the conventional group, with no significant difference ( P>0.05). Univariate logistic regression analysis showed that sex ( P=0.013) and age ( P=0.024) were significantly associated with DVT occurrence. Multivariate logistic regression further revealed that female patients had a significantly higher incidence of DVT than males ( OR=0.438, P=0.005), and older patients had a significantly increased risk of DVT ( OR=1.046, P=0.025); body mass index remained not significantly associated with DVT ( P=0.092). The operative time in the robot-assisted group was 88.62±18.58 min, which was significantly longer than that in the conventional group 79.23±17.68 min ( t=-5.207, P<0.001). Perioperative total blood loss was 1 079.85±344.18 ml in the robot-assisted group and 1 141.47±363.70 ml in the conventional group, with no significant difference ( t=1.745, P=0.082). The transfusion rate was 5.3% in the robot-assisted group and 5.1% in the conventional group, respectively, with no significant differences (χ 2=0.004, P=0.947). Conclusion:Compared with conventional TKA, robot-assisted TKA results in longer operative time but does not increase perioperative blood loss or the risk of postoperative DVT.

Objective To explore the value of diffusion-weighted imaging(DWI)based on continuous-time random walk(CTRW)and fractional-order calculus(FROC)models for staging of nasopharyngeal carcinoma(NPC).Methods Totally 77 patients with NPC were retrospectively enrolled and divided into high-or low-stage according to 2017 Chinese NPC staging criteria.Conventional DWI parameters(apparent diffusion coefficient[ADC])and DWI parameters based on CTRW and FROC were compared between high-or low-stage NPC,including diffusion coefficient based on CTRW(DCTRW),temporal diffusion heterogeneity index(αCTRW),spatial diffusion heterogeneity index(βCTRW),diffusion coefficient based on FROC(DFROC),fractional order derivative in space(βFROC)and spatial parameter(μFROC).The efficacy of the above parameters for staging of NPC was analyzed.Results Significant differences of DCTRW,αCTRW,DFROC,βFROC,μFROC and ADC were found between high and low clinical overall stages NPC(all P＜0.05),of DCTRW,αCTRW,DFROC and ADC between high and low T stages NPC(all P＜0.05),also of αCTRW,βFROC and μFROC between high and low N stages NPC(all P＜0.05).DCTRW,DFROC and μFROC were impact factors of clinical overall stage of NPC(all P＜0.05),with the area under the curve(AUC)of their combination of 0.890.DCTRW,αCTRw and DFROC were impact factors of T stage of NPC(all P＜0.05),and the AUC of their combination was 0.799.μFROC was the impact factor of N stage of NPC(P＜0.05),and its AUC was 0.722.Conclusion DWI parameters based on CTRW and FROC models could be used for staging of NPC,which had better values than ADC.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.