Objective: To explore the role of mobile phone addiction and anxiety symptoms in the relationship between childhood psychological abuse and depressive symptoms among college students, in order to provide a basis for mental health promotion. Methods: From February to May 2023, a stratified random sampling method was used to select 1 799 freshmen to juniors from a university in Wuhu City, Anhui Province. The questionnaire survey was conducted using the 2-item Patient Health Questionnaire (PHQ-2), Child Psychological Maltreatment Scale (CPMS), Mobile Phone Addiction Tendency Scale (MPATS), 2-item General Anxiety Disorder (GAD-2). Correlations among each variable were analyzed, and the chain mediating effect of mobile phone addiction and anxiety symptoms was explored. Results: The detection rate of depressive symptoms among college students was 9.7%, and the positive detection rate of childhood psychological abuse was 28.6%. Depressive symptoms were positively correlated with childhood psychological abuse, mobile phone addiction and anxiety symptoms ( r =0.28, 0.32, 0.27, P <0.01). Childhood psychological abuse was positively correlated with mobile phone addiction and anxiety symptoms ( r =0.29, 0.71, P <0.01). Mobile phone addiction and anxiety symptoms were positively correlated ( r =0.30, P <0.01). Childhood psychological abuse could effectively predict depressiove symptoms, mobile phone addiction and anxiety symptoms ( β =0.08, 0.06, 0.66, P <0.01). Mobile phone addiction and anxiety symptoms had a chain mediating effect between childhood psychological abuse and depression symptoms, with a total indirect mediating effect (effect=25.27%, P <0.05), accounting for 72.44% of the total effect. Conclusions Mobile phone addiction and anxiety symptoms play a chain mediating role between childhood psychological abuse and depressive symptoms. Focusing on childhood psychological abuse, mobile phone addiction and anxiety among college students are beneficial for depression symptoms prevention.

Objective To investigate the influencing factors for chronic pancreatitis(CP)complicated by pancreatogenic portal hypertension(PPH),and to establish a predictive model.Methods A retrospective analysis was performed for the clinical data of 99 patients with CP complicated by PPH who were hospitalized in The First Affiliated Hospital of Kunming Medical University,Chuxiong Yi Autonomous Prefecture People's Hospital,Wenshan People's Hospital,and Puer People's Hospital from January 2017 to December 2022,and these patients were enrolled as PPH group.The incidence density sampling method was used to select 198 CP patients from databases as control group.The independent-samples t test was used for comparison of normally distributed continuous data between two groups,and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between two groups.The Least Absolute Shrinkage and Selection Operator(LASSO)regression model was used to identify the potential predictive factors for CP complicated by PPH,and the predictive factors obtained were included in the multivariate Logistic regression analysis to obtain independent risk factors,which were used to establish a nomogram prediction model.The receiver operating characteristic(ROC)curve,the calibration curve,and the Hosmer-Lemeshow goodness-of-fit test were used to perform internal validation of the model,and the clinical decision curve was used to assess the clinical practicability of the model.Results There were significant differences between the two groups in sex,history of recurrent acute pancreatitis attacks,acute exacerbation of CP,bile duct stones,peripancreatic fluid accumulation,pseudocysts,pulmonary infection,elevated C-reactive protein(CRP),elevated procalcitonin,fibrinogen(FIB),neutrophil-lymphocyte ratio(NLR),gamma-glutamyl transpeptidase,total bilirubin,direct bilirubin,low-density lipoprotein(LDL),serum amylase,D-dimer,and serum albumin(all P<0.05).The predictive variables obtained by the LASSO regression analysis included sex,recurrent acute pancreatitis attacks,bile duct stones,peripancreatic fluid accumulation,pulmonary infection,pseudocysts,CRP,NLR,FIB,and LDL.The multivariate Logistic regression analysis showed that sex(odds ratio[OR]=2.716,P<0.05),recurrent acute pancreatitis attacks(OR=2.138,P<0.05),peripancreatic fluid accumulation(OR=2.297,P<0.05),pseudocysts(OR=2.805,P<0.05),and FIB(OR=1.313,P<0.05)were independent risk factors for CP complicated by PPH.The above factors were fitted into the model,and the Bootstrap internal validation showed that the nomogram model had an area under the ROC curve of 0.787(95%confidence interval:0.730—0.844),and the calibration curve was close to the reference curve.The Hosmer-Lemeshow goodness-of-fit test showed that the model had a good degree of fitting(χ2=7.469,P=0.487).The clinical decision curve analysis showed that the prediction model had good clinical practicability.Conclusion Male sex,recurrent acute pancreatitis attacks,peripancreatic fluid accumulation,pseudocysts,and FIB are independent risk factors for CP complicated by PPH,and the nomogram model established has good discriminatory ability,calibration,and clinical practicability.

Objective:To explore the mediating effect of unhealthy lifestyle and depressive symptom on the associations between life course factors and aging health.Methods:The study included 6 217 participants (aged ≥45 years) from the China Health and Retirement Longitudinal Study (CHARLS). We used principal component analysis (PCA) and hierarchical clustering analysis (HCA) to divide participants into six subgroups based on 70 life course factors. Five key life course factors were identified based on correlation analysis and their contribution to aging health. Physiological dysregulation (PD) was calculated by using eight biomarkers in the 2015 CHARLS biomarker dataset. Linear regression, logistic regression, and mediation models were used to explore the complex associations of life course subgroups, key factors, unhealthy lifestyle, depression symptom with PD.Results:Life course subgroups were significantly associated with PD after adjusting chronological age and gender ( β: 0.08-0.17, all P<0.05). Life-course subgroups and key factors, including adverse experiences in adulthood and lower education level, were significantly associated with unhealthy lifestyle ( β: 0.04-0.52, all P<0.05). Life-course subgroups and key factors, including childhood trauma, parental health in childhood, adverse experiences in adulthood, and lower education level, were significantly associated with depression symptom ( OR: 1.16-4.76, all P<0.05). Mediation analysis showed that unhealthy lifestyle had partial mediating effect on the association of life course subgroups and key factors, including adverse experiences in adulthood, and lower education levels, with PD (3.1%-3.6%). Depression symptom had partial mediating effect on the association of life course subgroups and key factors, including childhood trauma, adverse experience in adulthood, and lower education level, with PD (6.0%-16.2%). Conclusions:Unhealthy lifestyle and depression symptom has partial mediating effect on the impact of life course factors on aging health. It is important to pay attention to these two modifiable factors while targeting childhood trauma and adverse experience in adulthood.