Objective To compare the effects of chlorpromazine,olanzapine and ziprasidone on cognitive function of patients with chronic schizophrenia.Methods A total of 120 patients with chronic schizophrenia were randomly divided into chlorpromazine group(n =38),olanzapine group(n =41) and ziprasidone group(n =41).The patients were subjected to the Brief Psychiatric Rating Scale(BPRS),Wisconsin Card Sorting Test(WCST),Personal and Social Function of Scale (PSP) and Wechsler Adult Intelligence Scale-Revised (WAIS-RC) assessment respectively,before and after treatment for 12 weeks.Results After treatment for 12 weeks,the score of BPRS significantly decreased in three groups compared with that before treatment [F (5,41) =6.49,P ＜ 0.05].After treatment for 12 weeks,the results of WCST [F (5,47) =18.30,P ＜ 0.05],PSP [F (5,47) =10.02,P ＜ 0.05] and WAIS-RC [F(5,47) =6.74,P ＜ 0.05] test in ziprasidone and olanzapine group were better than that of chlorpromazine group.Conclusion Chlorpromazine,olanzapine and ziprasidone could improve the cognitive function and mental syndrome of patients with chronic schizophrenia.In addition,the effect of ziprasidone and olanzapine was better than chlorpromazine.

Objective To explore the risk factors of cognitive function in out-patients with depression in order to direct clinical therapy.Methods The clinical data of 180 cases of epileptic patients with depression from September 2005 to March 2009 were analyzed retrospectively.Results In 180 cases of epileptic patients with depression,82 cases(45.6%) of cognitive function were found,the occurrence with sex,marital status,the site of epileptic foci,the types of epileptic seizures were no significant correlation(P＞0.05),but related with onset age,educational level,disease course,the frequency of epileptic seizures and duration of attack (P＜0.05).Conclusion The risk factors of cognitive function in epileptic patients with depression were onset age,educational level,disease course,seizure frequency and duration of attack,it should avoid the occurrence of these risk factors and improve the quality of life of patients in clinical practice.

Objective To explore the risk factors of cognitive function in out-patients with depression in order to direct clinical therapy.Methods The clinical data of 180 cases of epileptic patients with depression from September 2005 to March 2009 were analyzed retrospectively.Results In 180 cases of epileptic patients with depression,82 cases(45.6%)of cognitive function were found,the occurrence with sex,marital status,the site of epileptic foci,the types of epileptic seizures was no significant correlation(P＞0.05),but related with onset age.educational levd,disease course,the frequency of epileptic seizures and duration of attack(P＜0.05).Conclusion The risk factors of cognitive function in epileptic patients with depression were onset age,educational level,disease course,seizure frequency and duration of attack,it should avoid the occurrence of these risk factors and improve the quality of life of patients in clinical practice.

The drafting of Zhejiang Mental Health Regulation has started since the promulgation of the Mental Health Law of the People's Republic of China in the year of 2013. Based on the preliminary investigation and the practice of mental health work in Zhejiang Province,this paper introduces the contents and characteristics of the regulation from six aspects,which are the legislative purpose and scope of application, the responsibilities of the government and departments, the construction of mental health service system,management of mental health services and consulting institutions,prevention,treatment and rehabilitation of mental disorders, and measures necessary to implement the regulation.

OBJECTIVE: To analyze the usage of mental health assistance hotline during COVID-19 in Zhejiang province from January 25th to February 29th 2020, and summarize the characteristics of the demand for mental health services and the dynamic changes of public mental health status during COVID-19 pandemic. METHODS: Both quantitative and qualitative methods were used. The calls related to pandemic were divided into four categories: medical, psychological, information and the others. The secondary categories of psychological calls were determined by text analysis. The number of calls were calculated weekly and the number of various types of calls over time were analyzed. We used stratified random sampling method to extract 600 cases of all kinds of calls related to pandemic and conducted a semantic analysis, through marking new, similar combination to form a feature set, then summed up the call content characteristics of each stage. Two hundred callers were followed up to understand how they felt about the call process in four aspects: the waiting time, call duration, the degree of problem-solving and the way to end the call. RESULTS: In a total of 13 746 calls, 8978 were related to pandemic, among which 12.59%(1130/8978) were about medical issues, 26.50%(2379/8978) were about mental health, 27.18%(2440/8978) were about information regarding the pandemic and 33.74%(3029/8978) were about other pandemic related issues. Pandemic situation, relevant policy release, frequency of advertising campaigns were predictors of the number of calls per day during the pandemic (<0.05 or <0.01). The number of calls differed by gender and identities of callers (both <0.05). Finally 181 callers accepted telephone follow-up. Among them, 51.38%(93/181) of the callers thought that the waiting time was too long, 33.15%(60/181) of the callers thought that the call time was insufficient, 80.66%(146/181) of callers believed that the hotline could partially or completely resolve their concerns, and 39.23%(71/181) of the callers said the operator proposed to end the call. CONCLUSIONS s The changes of the number and content of the mental health assistance hotline calls reflected that the public mental health status experienced four stages during the pandemic: confusion, panic, boredom, and adjustment. The specialized mental health assistance hotlines should be further strengthened, and the efficiency should be improved. Mental health interventions should be tailored and adopted according to the characteristics of the public mental health status at different stages of the pandemic.
China ; epidemiology ; Coronavirus Infections ; epidemiology ; Hotlines ; statistics & numerical data ; Humans ; Mental Health ; statistics & numerical data ; Pandemics ; statistics & numerical data ; Pneumonia, Viral ; epidemiology ; Public Health ; statistics & numerical data