Objective:The Self-Compassion Scale(SCS)is used to evaluate self-compassion in general popu-lation.The study was designed to evaluate the validity and reliability of the Chinese version of SCS in patients with eating disorders.Methods:Ten experts in the related disciplines completed the content validity evaluation.A total of 136 patients who met the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)eating dis-order diagnostic criteria were surveyed with SCS to evaluate structural validity.Using the Rosenberg Self-Esteem Scale(SES),Satisfaction with Life Scale(SWLS),and Eating Disorder Examination Questionnaire 6.0(EDE-Q 6.0)as gold criterion,the criterion validity of SCS was measured.Twenty patients were selected for retesting to e-valuate test-retest reliability.Results:The item-level content validity index(I-CVI)of each item was between 0.70 and 1.00,and the average scale-level content validity index(S-CVI/Ave)was 0.96,indicating good content validi-ty.Factor analysis indicated a good fit for the six-factor model with reasonable factor loadings:x2/df=1.70,RM-SEA=0.07,CFI=0.92,TLI=0.91.The Chinese version of the SCS had an ICC of 0.31 with both SES and SWLS,and a negative correlation with EDE-Q 6.0 scores(r=-0.32).The test-retest reliability of the scale was 0.80.Conclusion:The Chinese version of the SCS has moderate validity and high reliability in patients with eating disorders,and can provide a clinical measure tool for psychological assessment in the Chinese population with eating disorders.

Objective To investigate the current status of frailty in patients on maintenance hemodialysis(MHD),and explore the correlation of frailty with anxiety and depression.Methods General information,clinical data and blood biochemical data of 101 cases who underwent MHD in Department of Nephrology,Shunde Hospital Affiliated to Jinan University from January 2023 to January 2024 were collected.FRAIL scale was applied to evaluate the frailty of the patients,and they were accordingly classified into frailty group and non-frailty group(including pre-frail and non-frail participants).Anxiety and depression were evaluated by GAD-7 and PHQ-9 scale.Univariate analysis and logistic regression were used to explore the association of frailty with anxiety,depression and other possible influencing factors.Results Among the 101 cases,29 cases(28.71%)were includedin frailty group and 72 cases(71.29%)in non-frailty group.There were 42 patients with depression(41.58%)and 25 with anxiety(24.75%).In the frailty group,the prevalence of depression was 65.52%and that of anxiety 55.17%.There were significant differences in age,grip strength,exercise,stroke and coronary heart disease,anxiety and depression,ferritin and CRP between the two groups(P＜0.01).Multivariate regression analysis showed that depression,anxi-ety,no exercise,stroke and high ferritin concentration were independent risk factors for frailty in MHD patients(P＜0.05).Conclusion In patients on MHD,frailty is closely associated with depression,anxiety,and lack of exercise,and stroke as well as high ferritin concentration are independent risk factors for frailty.

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 evaluate direct and indirect costs for schizophrenia,major depressive disorder(MDD)and bipolar disorder,and to compare their differences of cost composition,and to explore the drivers of the total costs.Methods:A total of 3 175 inpatients with schizophrenia,MDD,and bipolar disorder were recruited.In-patient's self-report total direct of medical costs outpatient and inpatient,out-of-pocket costs,and direct non-medical costs were regarded as direct costs.Productivity loss and other loss caused by damaging properties were defined as indirect costs.The perspectives of this study included individual and societal levels.Multivariate regression analysis was applied for detecting the factors influencing disease costs.Results:The total cost of schizophrenia was higher than those of MDD and bipolar disorder at individual and societal levels.The indirect costs of three mental disorders were higher than the direct costs,and the indirect cost ratio of bipolar disorder was higher than those of schizophre-nia and MDD.Age,gender,working condition and marital status(P＜0.05)were the important drivers of total costs.Conclusion:The economic burden of the three mental disorders is relatively heavy.Schizophrenia has heaviest disease burden,and the productivity loss due to mental disorders is the driving force of the soaring disease cost

Objective:To describe demographic,clinical and physiological characteristics,treatment between first-episode major depressive disorder(MDD)and relapse MDD,and to explore characteristics of relapse MDD.Methods:Totally 858 patients who met the diagnostic criteria for depression of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5),were included by using the Mini International Neuropsychiatric Interview(MINI),Clinician-Rated Dimensions of Psychosis Symptom Severity,and Hamilton Depression Scale etc.Among them,529(58.6％)were first-episode depression and 329(36.0％)were relapsed.The differences of demographic characteristics,clinical and physiological characteristics,treatment were compared byx2test and Kruskal-Wallis rank sum test.Multivariate logistic regression was used to explore the characteristics of MDD recur-rence.Results:Compared to first-episode MDD,relapse MDD had more comorbidity(OR=2.11,95％CI:1.00-4.44),more days out of role(OR=1.26,95％CI:1.01-1.56),more history of using psychiatric drug more than one month(OR=1.41,95％CI:1.02-1.97)and electroconvulsive therapy(OR=3.23,95％CI:1.42-7.36),and higher waist-hip ratio(OR=33.88,95％CI:2.88-399.32).Conclusion:Relapse MDD has positive as-sociation with comorbidity of mental disorders,out of role,and higher waist-hip ratio.

Objective:To compare demographic characteristics,clinical characteristics,therapeutic characteris-tics and physiological indicators of patients with bipolar Ⅰ disorder and bipolar Ⅱ disorder.Methods:A total of 381 patients with bipolar disorder(BD)diagnosed by the Diagnostic and Statistical Manual of Mental Disorders 5 th Edi-tion(DSM-5)were selected,including 302 patients with BD-Ⅰ(79.27％),74 patients with BD-Ⅱ(19.42％)and 5 patients with other specific and related disorders(1.31％).Demographic and clinical characteristics were collected with self-designed clinical information questionnaire.Multivariate logistic regression and multivariate linear regres-sion analysis were used for analysis.Results:Compared with patients with BD-Ⅱ,patients with BD-Ⅰ had more risk to have psychotic features(OR=5.75,95％CI:2.82-11.76),longer disease duration,and more repeated transcra-nial magnetic therapy(OR=3.09,95％CI:1.02-9.35),higher uric acid,total cholesterol and high-density lipo-protein.BD-Ⅰ in Han nationality was more common(OR=11.50,95％CI:1.76-75.30),and had lower education level(OR=10.22,95％CI:1.16-89.77),and less family history of psychosis(OR=2.34,95％CI:1.01-5.42).Conclusion:There are significant differences between BD-Ⅰ and BD-Ⅱ in demographic and clinical charac-teristics,treatment status,and physiological indicators,which could provide clues for exploring the pathogenesis of bipolar disorder.

Objective:To compare clinical characteristics,treatment patterns and physiological indicators in bipolar disorder(BD)patients with different age of onset.Methods:Totally 380 patients with DSM-5 BD were se-lected in this study.Psychiatrists diagnosed the patients using the Mini International Neuropsychiatric Interview.The clinical information questionnaire and the Global Assessment of Functioning scale were utilized to collected clinical characteristics,treatment status,and physiological indicators.The onset age of BD was divided into 21 and 35 years as cut-off points.Multivariate logistic regression and linear regression were used to analyze related factors.Results:Among the 380 patients with BD,199 cases were early-onset group(52.4％),121 cases were middle-onset group(31.8％),and 60 cases were late-onset group(15.8％).There were 26.6％of patients in the early-onset group in-itially diagnosed as depression,23.1％in the middle-onset group,and 11.7％in the late-onset group.Multivariate analysis revealed that compared to the early-onset group of BD,the middle-onset(OR=2.22)and late-onset(OR=4.99)groups had more risk to experience depressive episodes,and the late-onset group(OR=6.74)had 6.74 times of risk to suffer from bipolar Ⅱ disorder.Additionally,patients in the middle-onset(β=-1.52)and late-on-set(β=-4.29)groups had shorter durations of delayed treatment,and those in the middle-onset(β=-1.62)and late-onset(β=-3.14)groups had fewer hospitalizations.Uric acid levels were lower in both the middle-onset(β=-28.39)and late-onset(β=-31.47)groups,and total cholesterol level was lower in the middle-onset group(β=-0.23).Conclusion:Patients with BD in different age of onset show significant differences in clinical charac-teristics,treatment conditions and physiological indicators.

This paper aims to review treatment delay in first-episode schizophrenia,depression,and bipolar disorder,and to compare related factors of treatment delay in the three first-episode mental disorders.It is found that increased patient responsibility,stigma,lack of disease-related knowledge,lack of access to resources,and insuffi-cient medical support lead to delay treatment,and making patients to have longer course,heavier symptoms,and lower social functions.

OBJECTIVE To mine adverse drug event （ADE） signals of lacosamide， and to provide references for clinically safe drug use. METHODS ADE data for lacosamide reported to the United States FDA adverse event reporting system from January 1， 2009， to December 31， 2022， were collected. Data mining was conducted using the reporting odds ratio method and Bayesian confidence propagation neural network method. Classification statistics were performed using the system organ class （SOC） and preferred terms （PT） from ADE terminology set of Medical Dictionary for Regulatory Activities （Version 25.0）. RESULTS A total of 21 360 lacosamide ADE reports were received， identifying 203 ADE signals across 24 SOCs， with 19 signals not included in the drug’s instruction. The top five PTs ranked by occurrence frequency were medication overdose， technical errors during device use， product use issues， intentional product misuse， and therapy discontinuation. The top five PTs ranked by signal strength were changes in seizure presentation type， congenital hypoplasia of depressor anguli oris muscle， multidrug resistance， brain surgery， and vagus nerve stimulator implantation. ADEs not recorded in the drug instruction included congenital hypoplasia of depressor anguli oris muscle， multidrug resistance， mitochondrial DNA mutation， dissociative identity disorder， and congenital auricular anomaly. CONCLUSIONS For lacosamide-induced ADEs that occur frequently and are already listed in the drug’s instructions， such as bradycardia and atrioventricular block， the clinical application should be careful and attentive， adjusting the dosage timely according to the patient’s condition to avoid severe ADEs. Newly discovered suspect ADEs， such as congenital hypoplasia of depressor anguli oris muscle， mitochondrial DNA mutation， overmature infant， dissociative identity disorder， pigmenturia， behavioral disorders， and dissociative disorders， should be vigilantly recognized to ensure the safety of drug use.