Objective: To analyze the longitudinal association between mobile phone dependence and depressive symptoms in college students, so as to provide a theoretical basis for psychological health education among college students. Methods: From November 2021 to June 2023, 2 515 first year students from 2 universities in Yunnan Province were surveyed with a questionnaire by a cluster random sampling method, including baseline survey (November 2021, T1) and three follow up visits (June 2022, T2; November 2022, T3; June 2023, T4). The Self rating Questionnaire for Adolescent Problematic Mobile Phone Use and the Depression Anxiety Stress Scales-21 (DASS-21) were used to evaluate mobile phone dependence and depressive symptoms of college students. The χ 2 test was used to analyze the difference in depressive symptoms among different demographic groups, and a generalized estimation equation model was established to analyze the association between mobile phone dependence symptoms and depressive symptoms. Results: The detection rates of depressive symptoms among university students in Yunnan Province at time points T1, T2, T3, and T4 were 23.02%, 33.36%, 34.79% and 35.51%, respectively. There were statistically significant differences in the detection rates of depressive symptoms among college students with different sacademic burden (T1, T2, T3, T4), different number of close friends (T1, T2, T3), as well as their father s educational level (T1), mothers educational level (T2, T4), gender (T4), major (T3, T4), education (T2, T3, T4), family residency (T1, T2), and family economic conditions (T1, T2, T4) ( χ 2= 59.68 , 49.38, 16.70, 39.31; 55.35, 26.01, 16.69; 10.22; 14.87, 11.51; 14.90; 27.81, 50.28; 9.75, 7.42, 24.76; 6.06, 4.47 ; 15.88, 14.58, 15.85, P < 0.05 ). After controlling for demographic variables and confounding factors in the generalized estimation equation model, mobile phone dependence ( β =0.11), withdrawal symptoms of mobile phone dependence ( β =0.14), and the physical and mental effects of mobile phone dependence ( β =0.14) were all positively correlated with depressive symptoms ( P <0.01). Further gender analysis showed that depressive symptoms in both boys ( β =0.13, 0.13, 0.18) and girls ( β =0.10, 0.13, 0.13 ) were associated with mobile phone dependence, withdrawal symptoms of mobile phone dependence and the physical and mental effects of mobile phone dependence ( P <0.01). Conclusions Depressive symptoms of college students are positively correlated with mobile phone dependence, and family economic conditions, academic burden and number of close friends are factors that continued to affect depressive symptoms. College students should be guided to pay attention to the impact of excessive use of mobile phones on their physical and mental health, use mobile phones reasonably to reduce the incidence of depressive symptoms among college students.

Objective:To describe and analyze suicide risk of patients with schizophrenia,major depressive disorder,and bipolar disorder.Methods:A total of 2 016 patients with schizophrenia,903 patients with major de-pressive disorder,and 381 patients with bipolar disorder from inpatients,clinics,or communities who met the diag-nostic criteria of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition were recruited.All patients were interviewed by psychiatrists using the Mini International Neuropsychiatric Interview to diagnose mental disor-ders and assess suicide risk,as well as Clinical-Rated Dimensions of Psychosis Symptom Severity(CRDPSS)to as-sess symptoms.Differences and risk factors of suicide risk among three types of mental disorders were explored u-sing multivariate logistic regression analysis.Results:In the past one month,37 patients with schizophrenia(1.8％),516 patients with major depressive disorder(57.1％),and 102 patients with bipolar disorder(26.8％)had suicide risk.Compared with patients with schizophrenia,suicide risk in patients with major depressive disorder(OR=36.50)and bipolar disorder(OR=20.10)increased.Female(OR=1.87),smoking(OR=1.76),family history of suicide(OR=5.09),higher score of CRDPSS hallucination(OR=1.80),and higher score of CRDPSS depression(OR=1.54)were risk factors of suicide risk of patients.Conclusions:Suicide risk of patients with ma-jor depressive disorder and bipolar disorder is higher than that of patients with schizophrenia.In clinical practice,it is important to regularly assess suicide risk of patients.Patients who experience symptoms of hallucination and de-pression should be paid more attention to.

Objective:To explore the clinical characteristics and related socio-demographic factors of schizo-phrenia patients with different ages of onset.Methods:Totally 2 016 patients with schizophrenia aged 15 to 70 were selected according to the diagnostic criteria for schizophrenia in the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition.All of the patients were interviewed by psychiatrists using the Mini International Neuropsy-chiatric Interview to diagnose schizophrenia,Clinical-Rated Dimensions of Psychosis Symptom Severity(CRDPSS)and the Positive and Negative Syndrome Scale(PANSS)to assess symptoms.The cut-off points were 18 and 25 years old for three age groups,i.e.early onset(EOS),youth onset(YOS)and adult onset(AOS).Statistical analy-ses were performed by analysis of variance Pearson correlation analysis,and multivariate linear regression.Results:The early-onset patients had the highest total PANSS score(73.8±28.0)and CRDPSS score(11.7±5.4).Fe-male gender,high education level,Han ethnicity,early onset age,and slower onset of illness were negatively corre-lated with the total and dimension score of PANSS scale and CRDPSS scale(standardized regression coefficient:0.04-0.47),and income level and smoking were negatively correlated with those score(standardized regression coefficient:-0.04--0.14).Conclusion:Early-onset schizophrenia patients have more severe symptoms,and fe-male,high education level,early-onset disease,and chronic onset are the risk factors of symptom severity in patients with schizophrenia.

Objective: To explore the relationship between processed food consumption and blood pressure level of students in a university in Yunnan Province, so as to provide the reference for preventing hypertension in university students. Methods: In October 2021, a cluster sampling method was used to select 4 781 freshmen from a university in Kunming, Yunnan Province. The frequency of processed food consumption of university students was assessed by using the dietary frequency questionnaire, and height, weight and blood pressure were measured. Mann-Whitney test and Kruskal-Wallis test were used to compare the differences in blood pressure level of university students with different demographic variables, and the association between processed food consumption and blood pressure level was analyzed with a generalized linear model. Results: Among the students of a university in Yunnan Province, the detection rates of systolic prehypertension and hypertension were 33.86% and 1.23%, and the detection rates of diastolic prehypertension were 32.13% and hypertension 7.22%. The results of generalized linear model analysis showed that after controlling for demographic variables and other variables that might affect the blood pressure level of university students, the consumption of processed food (bread and cake: β =0.15, 95% CI =0.01-0.29) and ultra processed food (coffee beverage: β =-0.29, 95% CI =-0.54--0.03) were associated with systolic blood pressure level( P <0.05). The consumption of processed food (salted duck egg: β =0.21, 95% CI =0.01-0.41) was correlated with the diastolic blood pressure of college students ( P <0.05). Conclusions Processed food consumption in university students may increase the risk of high blood pressure.The education of healthy eating among college students should be strengthened to reduce the consumption of processed foods.

Objective:To investigate the effects of modified electroconvulsive therapy(MECT)in combina-tion with medication and medication alone on relapse and cognitive functioning in patients with major depressive disorder(MDD).Methods:Totally 324 patients meeting the diagnostic criteria ofthe DSM-5 for MDD were select-ed and divided into combined MECT group(n=117)and non-combined MECT group(n=207).At baseline and 5 years of follow-up,both groups completed the General Information Questionnaire,Montreal Cognitive Assessment(MoCA),and Hamilton Depression Scale(HAMD)to analyze associations between cognitive functioning and mul-tiple variables.Results:At baseline,there were no significant differences between the two groups on general infor-mation,MoCA,and HAMD scores(Ps＞0.05).After 5 years of follow-up,the relapse rate was lower in the com-bined MECT group than in the un-combined MECT group[(37.6％vs.72.0％),P＜0.001].MECT was a protec-tive factor against recurrence of MDD[RR(95％CI)=0.52(0.40-0.66)],and the MoCA scores were lower in the combined MECT group than in the un-combined MECT group[(20.9±3.5)vs.(23.6±4.2),β=-1.93,P＜0.001].Conclusion:Combined MECT is a protective factor against MDD recurrence.Its effects on the cognitive functioning of MDD patients may have long-term effects.

Objective:To describe functional disability rate of anxiety disorders in Chinese community adults and explore related risk factors of functional disability.Methods:To conduct in-depth data analysis on China Mental Health Survey(CMHS).The diagnostic tool for anxiety disorders was the Composite International Diagnostic Inter-view-3.0,according to the Diagnostic and Statistical Manual for Mental Disorders,Fourth Edition(DSM-Ⅳ).The World Health Organization Disability Assessment Schedule,2nd edition,was the functional disability assessment standard for anxiety disorders.Weighted 12-month functional disability rate of DSM-Ⅳ anxiety disorder with co-morbidities and only anxiety disorder in population and those in patients,as well as days of partial disability were calculated.The effects of anxiety disorders comorbid other mental disorders and physical diseases and demographic factors on the severity and occurrence of functional disability were analyzed by multiple linear regression and logis-tic regression.Results:The functional disability rate of anxiety disorder with comorbidities in population was 1.7％,and 42.2％in patients,in which constituent rate of grade-four disability was the highest as 84.1％.The functional disability rate of only anxiety disorder in population was 0.3％,and 17.8％in patients.The medians of days of partial disability days in the past 30 days were from 0 to 14.42.Multiple linear regression showed a positive association between comorbid anxiety disorder with other mental disorders and physical diseases(β=0.24),comor-bid other mental disorders and physical diseases(β=0.21),physical diseases(β=0.18),comorbid anxiety disor-der and physical diseases(β=0.15),comorbid anxiety disorder with other mental disorders(β=0.08),other men-tal disorders(β=0.07),only anxiety disorder(β=0.06),lower education level(β=0.12),lower economic status(β=0.08),older age(β=0.06),non-marital status(β=0.06),male(β=0.02)and the severity of functional dis-ability.Logistic regression showed that comorbid anxiety with other mental disorders and physical diseases(OR=64.07),comorbid anxiety disorders with other mental disorders(OR=36.75),comorbid other mental disorders with physical diseases(OR=20.60),comorbid anxiety with physical diseases(OR=18.88),anxiety disorder(OR=9.20),other mental disorders(OR=6.65),physical diseases(OR=4.00),65 years old and over(OR=4.40),50 to 64 years old(OR=2.33),low economic status(OR=2.10),illiterate and below primary school educational level(OR=1.89),middle economic status(OR=1.70),elementary school educational level(OR=1.59),non-marital status(OR=1.47),male(OR=1.16)were the risk factors of the occurrence of functional disability.Conclusion:Comorbidity of anxiety disorders and other mental disorders,and physical diseases increases severity and occurrence of functional disability.Comorbidity,male,gender,older age,lower economic and educa-tional level and non-marital are risk factors of anxiety disorder functional disability.

Objective:To explore the association between childhood growing environment and depressive symptoms in young old persons aged 60 to 74 years.Methods:The data of the fourth wave of China Health and Re-tirement Longitudinal Study in 2018 and the life course survey in 2014 were used to secondary analysis.A total of 7 642 young old persons aged 60 to 74 years were included,and the 10-item of the Center for Epidemiological Stud-ies Depression(CES-D-10)scale was used to evaluate the depressive symptoms.The generalized linear mixed effects model was used to explore the relationship between childhood growing environment and depressive symp-toms in the young old persons.Results:The detection rate of depressive symptoms occurrence in the young old per-sons was 37.2％.The risk factors of depressive symptoms included female(OR=1.89),rural(OR=1.35),hav-ing hunger experience(OR=1.22),poor relationship with male dependents(OR=1.72),female caregiver's expe-riences of being bedridden due to illness(OR=1.38),community insecurity(OR=1.59),more harmonious neigh-borhood relationship(OR=1.20)and less harmonious neighborhood relationship(OR=1.81).The protective fac-tors of depressive symptoms occurrence included moderate(OR=0.79)and high(OR=0.50)per capita house-hold income,and educated father(OR=0.84)(P＜0.05).Conclusion:Childhood growing environment is an influ-ential factor of depressive symptoms in the young old persons.The long-term health effects of childhood environ-ment should be paid attention to.

Objective:To construct an individualized nomogram prediction model for predicting the risk of the occurrence of covert hepatic encephalopathy (CHE) in patients with liver cirrhosis.Methods:325 cases of liver cirrhosis admitted from January 2020 to December 2022 were selected as the study subjects. Patients were divided into training ( n=213) and validation ( n=112) sets using a cluster randomization method. The risk factors for CHE occurrence in patients with cirrhosis in the training set were analyzed by univariate and multivariate logistic regression. A prediction model related to the nomogram was established. Results:Independent risk factors for the occurrence of CHE in patients with cirrhosis were a history of hepatic encephalopathy, co-infection, gastrointestinal bleeding, severe ascites, prothrombin time ≥16 seconds, high total bilirubin, and high blood ammonia levels ( P<0.05). Nomogram model validation results: The model had a net benefit for the training and validation sets, with C-indices of 0.830 (95% CI: 0.802-0.858) and 0.807 (95% CI: 0.877-0.837), respectively, within the range of 0-96%. The calibration curves of both sets were evenly close to the ideal curves. The AUCs for the ROC curves in both sets were 0.827 (95% CI: 0.796-0.858) and 0.811 (95% CI: 0.787-0.836), respectively. Conclusion:Patients with cirrhosis have many risk factors for CHE occurrence. The nomogram model constructed based on these risk factors possesses a good predictive value for assessing CHE occurrence in cirrhotic patients.

Objective:To explore the feasibility of mismatch of amide proton transfer weighted (APTw) imaging with diffusion weighted imaging (DWI) in evaluating ischemic penumbra (IP) in patients with wake-up stroke.Methods:A prospective study was performed; 96 patients with wake-up stroke and unilateral middle cerebral artery territory infarction admitted to Emergency Stroke Department, Affiliated Hospital of Jining Medical University from September 2020 to January 2023 were chosen. All patients underwent routine MRI, DWI, APTw imaging and 3D arterial spin labeling (3D-ASL) before treatment and 90 d after treatment. IP presence was defined as changes of abnormal signal on T2-fluid-attenuated inversion recovery (FLAIR) 90 d after treatment greater than 20% of high signal range on DWI before treatment, and it was used as the gold standard to compare the efficacy in evaluating whether the patients had IP based on mismatch of 3D-ASLwith DWI and mismatch of APTw imaging with DWI before treatment. The infarct core (IC) region, mismatch region of APTw imaging with DWI, mismatch region of 3D-ASL with APTw imaging were delineated on the fusion images in patients with IP based on mismatch of 3D-ASLwith DWI and mismatch of APTw with DWI, and the differences of APTw values in different regions were compared.Results:According to the 90-d follow-up results, 50 patients had IP and 46 patients did not have IP. Specificity, accuracy and sensitivity evaluating whether the patients had IP based on mismatch of 3D-ASL with DWI were 86.9%, 93.7% and 100.0%, respectively; specificity, accuracy and sensitivity evaluating whether the patients had IP based on mismatch of APTw imaging with DWI were 100.0%, 95.8% and 92.0%, respectively. The APTw max, APTw min and APTw ave values of the IC region were significantly lower than those of mismatch region of APTw with DWI, and the APTw max-min values of mismatch region of APTw imaging with DWI were significantly higher than those of mismatch region of 3D-ASL with APTw imaging ( P<0.05). Conclusion:APTw imaging can reflect the acidosis status of different brain regions in patients with wake-up stroke; specificity and accuracy evaluating whether the patients have IP based on mismatch of APTw imaging with DWI are higher than those based on mismatch of 3D-ASL with DWI.

Objective:To explore the changes of intracranial pressure in intensive care unit (ICU) patients during the occurrence and evolution of delirium by using bedside ultrasound to measure the optic nerve sheath diameter (ONSD) to evaluate intracranial pressure.Methods:A retrospective observational study was conducted. Adult patients who developed delirium during hospitalization in the general ICU of Beihai People's Hospital from October 2020 to November 2021 were enrolled, and patients who did not have ultrasonographic ONSD records within 24 hours after the diagnosis of delirium were excluded. The ONSD measured before delirium was recorded as ONSD 0, the ONSD measured within 24 hours of the onset of delirium recorded as ONSD 1, and the ONSD reexamined after ONSD 1 recorded as ONSD 2. Patients were divided into intracranial hypertension group (ONSD 1 > 5 mm) and normal intracranial pressure group (ONSD 1 ≤ 5 mm) according to the size of ONSD 1. According to the outcome of delirium, the patients were divided into cured, improved, and non-improved groups. The reduction ratio of ONSD 2 to ONSD 1 in the three groups were calculated and compared. Pearson correlation test was used to analyze the correlation between fluid balance and ONSD changes after delirium. Results:There were 43 patients, including 40 cases in the intracranial hypertension group (the incidence rate was 93.0%), 3 cases in the normal intracranial pressure group, 23 cases were cured, 13 cases were improved, and 7 cases were not improved. In the intracranial hypertension group, 11 cases had ONSD 0 and ONSD 1 records, and ONSD 1 was significantly higher than ONSD 0 [mm: 5.88±0.61 vs. 5.34±0.57, 95% confidence interval (95% CI) -0.85 to -0.23, P = 0.003]. The reduction ratio of ONSD 2 to ONSD 1 in the cured group was significantly higher than that in the improved group and the non-improved group [(12.04±6.20)% vs. (5.68±4.10)%, (0.17±3.96)%; 95% CI were 2.37 to 10.33, 6.41 to 17.31, P values were 0.003 and 0.000, respectively]. The correlation analysis showed that the reduction ratio of ONSD 2 to ONSD 1 was negatively correlated with fluid balance ( r = -0.42, 95% CI was -0.66 to -0.10, P = 0.012). Conclusions:The incidence of intracranial hypertension in ICU delirium patients is high. A more pronounced decrease in intracranial pressure predicts a better delirium outcome. Dynamic ONSD measurement can provide valuable information for the prevention and treatment of delirium.