Objective: To explore the impact of adverse childhood experiences (ACEs) on health risk behaviors (HRBs) among college students and the mediating role of psychological symptoms, so as to provide a basis for developing intervention strategies. Methods: From March to April 2023, a convenience cluster sample of 1 801 students from 12 universities in Nanning, Liuzhou, Guilin, Wuzhou of Guangxi completed an online survey. A self designed questionnaire, Adverse Childhood Experiences-International Questionnaire (ACE-IQ) and Symptom Checklist-90 (SCL-90) were used for evaluation tools. Binary Logistic regression, structural equation modeling (SEM) and Bootstrap methods were used to analyze the associations and mediating effects. Results: Overall, 71.2% of college students experienced at least one type of ACE, with emotional neglect (40.3%) and emotional abuse ( 25.2 %) having the highest detection rates. The top three HRBs were unhealthy diet (77.8%), physical inactivity (54.1%), and smoking/alcohol use (18.5%). Logistic regression showed that poor family functioning, abuse, and extra familial violence were each associated with an increased risk of smoking/alcohol use ( OR =1.14, 1.11, 1.18) and deliberate self harm ( OR =1.26, 1.19,1.30) (all P <0.05). Experience of abuse increased the risk of high risk sexual behavior and family dysfunction increaded the risk of physical inactivity, respectively ( OR = 1.07 , 1.04, both P <0.05). Mediation analysis revealed that anxiety ( β =0.20) and depression ( β = 0.09 ) partially mediated the pathway from poor family functioning to deliberate self harm; paranoia ( β =0.02) partially mediated the pathway from abuse to high risk sexual behavior; and obsessive-compulsive symptoms ( β =0.26) and depression ( β =0.10) partially mediated the pathway from extra familial violence to deliberate self harm (all P <0.05). Conclusion Psychological symptoms play a mediating role in the association between ACEs and HRBs, and mental health interventions may reduce the risk of HRBs among college students.

Objective To investigate the etiology and treatment of dysuria shortly after holmium laser enucleation of the prostate (HoLEP) for benign prostatic hyperplasia (BPH), so as to improve the therapeutic efficacy. Methods A retrospective analysis was conducted on 1361 BPH patients who received HoLEP at our hospital during Mar. 2018 and Mar. 2025. All patients underwent ultrasound, computed tomography (CT), urethral probing or radiography, cystourethroscopy, and urodynamic testing. The causes, treatments and prognosis of dysuria after operation were summarized. Results ninety-eight patients (7.2%) experienced dysuria within 3 months after surgery, and all patients received initial urethral dilation. Among the 62 cases with urethral stricture, 28 were treated with urethral dilation (average of 8 sessions), 16 underwent external urethral incision, 8 underwent anterior urethroplasty, and 10 underwent transurethral plasma incision for urethral stricture. Of the 12 cases with residual prostate tissue, 5 underwent urethral plasma prostatectomy and 7 received medication. All of the 12 cases with bladder neck contracture underwent transurethral plasma incision of the bladder neck and local drug injection. Five cases with intravesical blood clots underwent urethral blood clot irrigation, 2 of which developed active bleeding and then underwent electrocoagulation. Four cases with detrusor dysfunction had catheters re-indwelled for one week followed by medication. Two cases with stone and one case with tissue fragment impacted in the urethra underwent urethral holmium lithotripsy and cystoscopic removal. All patients underwent reoperation successfully and experienced complete resolution or significant improvement of urinary difficulties. Conclusion A certain proportion of patients experience dysuria after HoLEP, with diverse etiologies. The combination of prevention and treatment can reduce the incidence of dysuria.

Objective To investigate the relationship between abnormal expression of angiotensin-converting enzyme(ACE)and lipoprotein(a)[Lp(a)]with hypertension-diabetes comorbidity.Methods A case-control analysis was conducted on 342 patients with metabolic diseases admitted in our hospital between January 2021 and May 2024,and they were divided into in a diabetes-hypertension comorbidity group(114 cases),a diabetes group(114 cases)and a hypertension group(114 cases).Another 114 matched healthy individuals who taking physical examination in our hospital during the same period were subjected and served as the control group.Clinical data were collected and serum levels of ACE and Lp(a)were measured in all the groups.Multivariate logistic regression analysis was applied to analyze the independent risk factors for hypertension-diabetes comorbidity,and ROC curve analysis was performed to evaluate and predict the efficacy.Results The serum levels of ACE and Lp(a)were significantly higher in the comorbidity group than the control,hypertension and diabetes groups(P＜0.01),and in the hypertension and diabe-tes groups than the control group(P＜0.01).After adjusting for waist-to-hip ratio,alanine amin-otransferase and triglyceride,multivariate logistic regression analysis revealed that serum ACE and Lp(a)still were risk factors for the occurrence of hypertension-diabetes comorbidity(P＜0.01).ROC curve analysis demonstrated that when the cut-off value was 39.01 pg/L,ACE had an AUC value of 0.884(95％CI:0.789-0.980),a sensitivity of 76.67％and a specificity of 75.28％in predicting the comorbidity,and when the cut-off value for Lp(a)was 254.33 mg/L,the AUC value was 0.899(95％CI:0.799-0.919),the sensitivity was 85.83％,and the specificity was 82.22％.Their combination improved the AUC value to 0.993(95％CI:0.979-1.000),with a sensitivity of 95.00％and a specificity of 95.28％in the prediction.Conclusion Serum ACE and Lp(a)are independent risk factors for hypertension-diabetes comorbidity,and can be combined together and regarded as biomarkers for early identification of the comorbidity.

Objective:To investigate the feasibility of deep learning based on computed tomography(CT)radiomics in improving diagnostic accuracy for pulmonary nodules.Methods:A total of 500 patients with pulmonary nodules who admitted to our hospital from January 2023 to January 2024 were selected as study subjects,and they were randomly divided into a training set(350 patients)and a test set(150 patients)as 7:3 ratio.All patients underwent CT examination,and pathological diagnosis was used as gold standard to record pulmonary nodules that were judged by clinical judgment.The radiomics features were screened from the CT images of the patients,and these features were used to construct multiple machine learning models.The predictive value of different models in diagnosing pulmonary nodules was analyzed through confusion matrices and receiver operating characteristic(ROC)curve.Results:A total of 1,594 radiomics features,including 1,195 texture features(74.97%)that was the largest ratio,334 first-order histograms(20.95%),and 65 second-order histograms(4.08%),were extracted in this study.After least absolute shrinkage and selection operator(LASSO)regression analysis and ten-fold cross-validation processing,a total of six radiomics features were screened out.The screened radiomics features were incorporated respectively into four assembled models with machine learning,including ResNet50,DenseNet121,Inception_V3 and VGG19.The constructed models were evaluated respectively using the training set and the test set.The results showed that the assembled model had the highest accuracies in both training set and the test set(96.57%and 95.33%),which area under curve(AUC)values were 0.934 and 0.923,and specificities were 81.64%and 80.52%,and sensitivities were 90.25%and 88.71%,respectively.The results of consistency test indicated that the assembled model had the best classification consistency(Kappa=0.856,P<0.001)in the constructed diagnostic model for pulmonary nodule,which was the best-performing model.Conclusion:The deep learning technique based on CT radiomics has a certain feasibility in improving the diagnostic accuracy for pulmonary nodules,and the machine learning model that is included in this study has favorable predictive value in diagnosing pulmonary nodules.In them,the assembled model that is constructed on the basis of ResNet50,DenseNet121,Inception_V3,and VGG19 has better classification ability.

Objective:To investigate the relationship between lipid levels and cognitive impairment in the elderly Chinese population using prospective cohort data.Methods:Based on the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) cohort, this study included 24 380 individuals aged ≥60 years who participated in the cognitive function follow-up survey from 2018 to 2019. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), with cognitive impairment defined according to different educational levels: MMSE ≤17 for illiterate individuals, MMSE ≤20 for those with primary education and MMSE ≤24 for those with secondary education or above. Multivariable linear regression and logistic regression models were employed to examine the associations between six baseline lipid indicators and cognitive scores, as well as cognitive impairment. Additionally, restricted cubic splines were used to explore the exposure-dose relationship between lipid levels and cognitive function.Results:The study population had a median follow-up time of 11.6 years, with a baseline age of (59.7±6.8) years. Among the participants, 9 510 (39.0%) were males, and the mean MMSE score was 24.7±6.8. A total of 3 887 individuals (15.9%) were identified as cognitively impaired. The results of multivariable linear regression and logistic regression indicated that total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels were not only significantly positively associated with cognitive scores but also significantly associated with a lower risk of cognitive impairment. Each 1 mmol/L increase in these lipid levels corresponded to β values (95% CI) of 0.267 (0.173-0.361), 0.385(0.271-0.499) and 0.331(0.231-0.431), respectively. Each 1 mmol/L increase in these lipid levels corresponded to odds ratio ( OR) (95% CI) values of 0.915 (0.876-0.956), 0.875 (0.830-0.923) and 0.886 (0.848-0.927), respectively. The dose-response curve demonstrated that the negative association was primarily observed within the guideline-recommended optimal lipid level range. Specifically, when LDL-C was less than 3.4 mmol/L and non-HDL-C was less than 4.1 mmol/L, the corresponding OR (95% CI) values were 0.859 (0.796-0.926) and 0.876 (0.818-0.939). Conclusion:Lipid levels exhibit a certain linear negative association with cognitive impairment in elderly Chinese adults, with LDL-C and non-HDL-C demonstrating a stronger effect, particularly within the guideline-recommended optimal range.

Objective:To analyze the epidemiological characteristics of cases involving monkey injuries at medical institutions surrounding Qianlingshan Park in Guiyang City, and to provide a reference basis for preventive measures to reduce monkey injuries and standardized post-exposure treatment.Methods:A retrospective cross-sectional study was conducted, collecting 1 900 cases of monkey-induced injuries in Qianlingshan Park treated at the outpatient clinic of Guizhou Provincial Center for Disease Control and Prevention and the Department of Surgery at Qianling Hospital, Guiyang City, from 2021 to 2024. Statistical analysis was performed using Pearson′s chi-square test.Results:Total of 1 900 cases of monkey-related injuries in Qianlingshan Park were collected from 2021 to 2024. The exposure time distribution exhibited significant seasonality, with 48.58% of cases occurring during July and August, totaling 923 cases, indicating a peak in the summer. There were 774 male patients and 1 126 female patients, with a ratio of 1∶1.45.and significant differences were observed between different age groups and genders (χ2=195.00, P<0.001), with the highest number of cases occurring in the 0-9 and 20-29 age groups, accounting for 22.05%(419 cases) and 21.79%(414 cases), respectively. The upper limbs were the most common injury site, accounting for 50.84% of the total cases(966 cases in total), with significant differences between gender and injury location (χ2=22.00, P<0.001), Among females, the proportion of injuries to the upper and lower limbs (30.11% and 16.47%, respectively) was higher than that among males (20.74% and 8.63%, respectively). The majority of injuries were classified as Grade Ⅲ, making up 57.38% of cases(1 069 cases in total). Self-treatment after exposure was the most common approach(60.44%), with significant differences observed between wound severity and treatment method (χ2=6.90, P=0.032), Patients with Grade Ⅱ and Grade Ⅲ wounds were more likely to choose self-management (26.84% and 33.23%, respectively) than outpatient management (15.14% and 24.15%). Approximately 98.05% (1 863 cases) of monkey-injured patients had received rabies vaccinations. Conclusions:This study analyzes monkey-related injuries in Qianlingshan Park from 2021 to 2024, clarifying the temporal distribution of injuries, demographic characteristics, injury sites, and treatment methods. The findings provide references for optimizing human-monkey conflict management and the prevention and control of zoonotic diseases in urban ecological parks.

Objective To investigate the effects of Sini Powder on serum hypothalamic-pituitary-adrenal(HPA)axis-related hormones and inflammatory factors in liver cancer mice with comorbid depression,and to evaluate its effect on depressive behavior and tumor proliferation activity.Methods Forty-eight specific pathogen-free female C57BL/6 mice were randomly assigned to either a blank(n=8)or model group(n=40).The modeling group was subjected to chronic unpredictable mild stress(CUMS)for six weeks.Both groups underwent orthotopically transplanted liver tumor surgery at the end of the fourth week of CUMS treatment.At the end of the sixth week of CUMS treatment,color Doppler ultrasonography was used to observe tumor formation in the orthotopic transplantation liver tumors,and the tail suspension test was used to assess depressive behavior.Non-tumor-bearing and deceased mice were excluded.The remaining model group mice were stratified by tail suspension immobility time and randomly assigned to the following groups:model group(distilled water),Fluoxetine group(5.0 mg/kg),and Sini Powder low-dose,medium-dose,and high-dose groups(5.2,10.4,and 20.8 g/kg,respectively),with six mice per group.The treatments were administered once daily for 21 consecutive days.After treatment,depressive behaviors were assessed using the open field,tail suspension,and forced swimming tests.The proliferation status of the orthotopic liver transplantation tumor was evaluated by measuring the size of the tumor,observing pathological changes in the tumor tissue through hematoxylin and eosin staining,and detecting the positive cell rate of proliferating cell nuclear antigen(Ki-67)in the tumor tissue using immunohistochemistry.The levels of HPA axis-related hormones in serum,such as corticotropin-releasing hormone(CRH),adrenocorticotropic hormone(ACTH),corticosterone(CORT),as well as inflammatory factors such as tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),and interleukin-6(IL-6)were measured using an enzyme-linked immunosorbent assay.Western blotting was used to assess mitogen-activated protein kinase(MAPKs)phosphorylation and the expression of nuclear factor-κB(NF-κB),NOD-like receptor family pyrin domain-containing receptor 3(NLRP3),and cysteine aspartic protease-1(Caspase-1)in orthotopic tumors.Results Compared with the blank group,the model group showed reduced total distance traveled in open field test,prolonged immobility times in the tail suspension and forced swimming tests(P<0.05,P<0.01),indicating successful establishment of the liver cancer with comorbid depression mice model.Also,the model group showed increased orthotopic tumor volume(P<0.01),and elevated serum CRH,ACTH,CORT,TNF-α,IL-1β,and IL-6 levels(P<0.01).The phosphorylation of MAPKs in tumor tissues was suppressed(P<0.01),while NF-κB,NLRP3,and Caspase-1 expression levels were downregulated(P<0.01).Compared with the model group,Sini Powder medium-and high-dose groups exhibited increased total distance traveled in the open field test(P<0.05),reduced forced swimming test and prolonged total distance traveled in open field test(P<0.01),while Sini Powder high-dose group showed reduced immobility times in the tail suspension test(P<0.05).Also,Sini Powder low-dose,medium-dose,and high-dose groups showed slower tumor growth,histological changes,including vacuolization and necrosis,decreased Ki-67 positive cell rate(P<0.01),and reduced serum CRH,ACTH,CORT,TNF-α,IL-1β,and IL-6 levels(P<0.05).Additionally,the phosphorylation of MAPKs in tumor tissues was suppressed(P<0.01),and NF-κB,NLRP3,and caspase-1 expression levels were downregulated(P<0.01).Conclusion Sini Powder may alleviate depressive behaviors and suppress tumor proliferation activity in liver cancer mice with comorbid depression by modulating MAPKs activation,inhibiting NF-κB,NLRP3,and Caspase-1 expressions,and reducing serum inflammatory factors and HPA axis-related hormones levels.

Objectives:To explore the independent and combined effects of sleep duration and physical activity(PA)on the incidence of cardiovascular disease(CVD).Methods:The study subjects were derived from three sub-cohorts of the China-PAR project.Information on sleep and PA was collected from the surveys conducted in 2007-2008,and the incidence and mortality data of CVD were obtained during the follow-up survey from 2012 to 2015.Sleep duration was categorized into≤6 h/d,>6-8 h/d,and>8 h/d,and the PA level was classified according to the tertiles of PA volume(MET-h/d).The Cox proportional hazards model stratified by cohort source was applied to estimate the associations of PA and sleep duration with CVD incidence,coronary heart disease(CHD)incidence,and stroke incidence.Results:A total of 93 933 participants were included.During an average follow-up of(5.82±0.98)years,3 862 CVD events were documented.Compared with the low PA group,the hazard ratios(HRs)and 95%confidence intervals(CIs)of the CVD incidence,CHD incidence,and stroke incidence for the high PA group were 0.73(0.65-0.82),0.62(0.49-0.77)and 0.88(0.76-1.01),respectively.A U-shaped relation between sleep duration and incidence of CVD and stroke was observed.Compared with those who slept for>6-8 h/d,the risk of CVD(HR[95%CI]:1.10[1.00-1.21],P=0.04)and stroke(HR[95%CI]:1.33[1.18-1.49],P<0.01)was higher among participants slept>8 h/d.The risk of CVD,CHD and stroke tended to be higher in the≤6 h/d sleep group.Compared with the high PA combined with>6-8 h/d,the risk of stroke was highest in the high PA combined with>8h/d sleep group(HR[95%CI]:1.74[1.37-2.22],P<0.05),while the risks of CVD(HR[95%CI]:1.69[1.39-2.04],P<0.05)and CHD(HR[95%CI]:1.99[1.41-2.81],P<0.05)were highest in the low PA combined with≤6 h/d sleep group.Conclusions:Adequate physical activity and appropriate sleep duration are associated with lower risk of morbidity from CVD,CHD and stroke.

Metastatic castration-resistant prostate cancer (mCRPC) is often resistant to conventional therapies, and prostate-specific membrane antigen (PSMA)-targeted radionuclide therapy has emerged as a promising therapeutic strategy. Ligands such as 177Lu-PSMA and 225Ac-PSMA have demonstrated clinical benefits in ongoing studies and show potential when combined with endocrine therapy, chemotherapy, immunotherapy, and radiotherapy. Additionally, novel therapeutic approaches, including PSMA-targeted antibody-drug conjugates (ADCs), chimeric antigen receptor T-cell (CAR-T) therapy, and bispecific T-cell engagers (BiTEs), are being actively explored. This review summarizes the recent advancements in PSMA-targeted treatment and their clinical applications.

Objective:To investigate anxiety symptoms and associated factors in relocated elderly residents of new townships,and to provide evidence for prevention interventions.Methods:A cross-sectional study was conduc-ted in relocated elderly residents in new townships of three urban areas in Shandong Province from 2021 to 2023.The study instruments included Ascertain Dementia-8,Generalized Anxiety Disorder-7,self-administered de-mographic characteristics information questionnaire.Multivariate analysis of factors associated with anxiety symp-toms in elderly residents was performed using multivariate logistic regression.Results:The prevalence rate of mild anxiety symptoms was 5.8％,and the rate of moderate-to-severe anxiety symptoms was 1.3％in 3 313 resi-dents.Multivariate analysis found that self-assessed general psychological condition(OR=0.52),good family envi-ronment(OR=0.34),no self-perceived cognitive impairment(OR=0.31),no chronic diseases(OR=0.42),and only one chronic disease(OR=0.61)were protective factors for mild anxiety symptoms,and very good dietary structure(OR=2.15)and fair dietary structure(OR=2.39)were risk factors for those.Very good family environ-ment(OR=0.11)and average family environment(OR=0.16),and no self-perceived cognitive impairment(OR=0.14)were protective factors for moderate-to-severe anxiety symptoms,and 0-3 years(OR=3.24)and 4-6 years(OR=3.28)of relocation were risk factors for those.Conclusion:Family environment,dietary structure,and duration since relocation are key factors associated with anxiety symptoms among relocated elderly residents in new townships.Targeted interventions should be implemented to address their mental health needs.