Objective To raise policy suggestions for public health bureaus by analyzing the mental health service in Chengdu City in 2004. Methods We applied descriptive methods to analyze the mental health service. Results The mental health resources in Chengdu City were insufficient and the utilization rate of health resources was low. Conclusions Strategies to improve this may include setting up mental health management sections; increasing the funds for health service; strengthening professionals training; exploiting the service field of relevant specialties and developing community mental health.
Objective To examine the prevalence of post-traumatic stress disorder (PTSD), anxiety, and depression for medical staffs who took part in rescue in the disaster area after Wenchuan Earthquake. Methods According to purpose sampling method, from June 12th to June 18th, we investigated the medical staffs in eight areas, and the total number was 500. The eight areas included Mianzhu, Deyang, Shifang, Chengdu, Mianyang, Pengzhou, Zitong, and Anxian. The survey tools were PTSD Checklist-Civilian Version (PCL-C), Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS). After collecting all questionnaires, we divided 500 medical staffs into 2 groups, according to the fact whether the rescue was carried out in the disaster area or not. Results A total of 500 questionnaires were given to the subjects, of which 481 effective ones were collected, and the effective rate was about 96.2%. In addition, the prevalence of PTSD for overall was 23.3%, anxiety was 21.6%, depression was 49.9%, and the anxiety plus depression was 19.54%. At the same time, we found out the averages of PCL-C (48.29±29.90 vs. 34.76±18.03), PCL-C frequency (16.27±15.14 vs. 9.99±10.25), PCL-C severity (32.03±15.26 vs. 24.85±8.60), SAS primitive (37.39±10.35 vs. 32.22±7.61), SAS standard (46.73±12.94 vs. 40.27±9.51), SDS primitive (42.00±8.32 vs. 37.99±9.63), and SDS standard (52.50±10.39 vs. 47.48±11.92) were different. The medical staffs in the disaster area were under more severe conditions, and there were significant differences between the 2 groups. The prevalence of PTSD (28.52% vs. 16.59), anxiety (28.89% vs. 12.32%), depression (58.15% vs. 39.34%), and anxiety plus depression (26.67% vs. 10.43%) between the 2 groups was significantly different, and the disaster area was under severe conditions. Additionally, the prevalences at three levels within SAS and SDS were much higher in the disaster area. There were also significant differences. Conclusion The prevalences of PTSD, SAS, and SDS within medical staffs who took part in rescue in the disaster area after Wenchuan Earthquake are higher than in the non-disaster area. Therefore, we should work out mental intervention and rehabilitation project for medical staffs, especially those who took part in rescue in the disaster area. Finally, the medical staffs’ ability to copy with stress can be improved.
Objective To investigate the mental status of medical staffs in the orthopedics department during the earthquake, providing evidence for psychological intervention. Methods Choosing 104 staffs in the orthopedics department as eligible subject with convenient sampling; the research tool was Symptom Checklist-90. The questionnaire was done by the participants with the same instruction from psychological professionals; analyze the results. Results The score in somatization, anxiety and phobic anxiety of staffs in the orthopedics department was significantly higher than the national norm. Conclusion There exists disorder in mental health of medical staffs in orthopedics department, it is necessary to implement mental intervention.
Objective To investigate the use of the mental health service by college students and the main factors which influence this. Methods A stratified sampling study was conducted among 2 800 students from 5 of the top 100 colleges (as ranked by Internet). All five were located in Southwest China. The students were surveyed by the Questionnaires of Mental Health Service for College Students. Results We retrieved 2 760 (98.58%) questionnaires. Of these, 11.2% of the students (310/2 760) used the mental health service before entering college. 13.6% (376/ 2 760) used mental health service after entering college, of these, 78.5%(295/376) broke off. The mental health service was needed by 32.7% (902/ 2 760), but they did not seek it. When college students considered the mental health service, 65.8%(1 815/2 760), were concerned about the ability of the service organizations to provide professional help, 48.4% (1 336/2 760) were concerned about the service cost, 47.9% ( 1 312/2760) were concerned about the convenience of the service and 38.0% (1 049/2 760) were concerned about social cultural factors. Conclusion Currently, few college students use the mental health service. The main factors influencing the use of the mental health service by college students are the professional ability of the service organizations, the nature and severity of the student’s psychological problems, and the convenience and cost of the mental health service.
Objective To reflect the correlation between social support and mental health of the aged through the Pearson correlation coefficient. Methods Databases including PubMed, SpringerLink, EMbase, The Cochrane Library, VIP, WanFang Data and CNKI were searched from inception to October, 2011 to collect literature on the correlation between social support and mental health of the aged. The studies were screened according to the inclusion and exclusion criteria. After extracting data and assessing the quality of the included studies, meta-analysis was conducted using RevMan 5.0 software. Results Of the 2 396 identified studies, 4 studies were included. The results showed that 4 studies were not high in the overall quality. The total score of social support of the elderly and its three dimensions were related to mental health. Among 9 factors associated with mental health, somatization, depression and anxiety were weakly correlated to the objective support while the others were extremely weakly correlated. Anxiety and phobic anxiety were weakly correlated to the subjective support while the others were extremely weakly correlated. Phobic anxiety was weakly correlated to the utilizing degree while the others were extremely weakly correlated. Somatization, anxiety and phobic anxiety were weakly correlated to the total score of social support while the others were extremely weakly correlated. Conclusion Social support probably improves mental health of the aged to some extent.
Objective To systematically review the literatures on left-behind children’s mental health status, and to describe and analyze the current domestic left-behind children’s main psychological health problems. Methods With the search terms and strategies predefined by repeated discuss and pre-retrieval, the literatures in Chinese published before March 2011 were searched in following four Chinese databases including Chinese Biological Medical Literature Database (CBM), Chinese Science and Technology Periodical Database (VIP), China National Knowledge Infrastructure (CNKI) and WanFang Dissertation Database (WF). All research papers that reported the left-behind children’s mental health status and problems within China were included. Two reviewers independently screened the literatures and extracted the data. Disagreements were resolved by discussion or by involving a third researcher. The qualitative synthesis method was used to analyze the studies, while the meta-analysis was not adopted because of the tremendous heterogeneity of each study on the definition of left-behind children, study design and outcomes. Results A total of 155 studies were included for the final analysis and all of them were the cross-sectional study including 63 uncontrolled cross-sectional studies and 92 controlled cross-sectional studies. Most of the results showed that compared with the non-left-behind children, the left-behind children’s mental health level was lower and there were many psychological problems. While several studies suggested that there was no significant difference between the two groups. The left-behind children in different types (such as different gender, age, guardianship types, the migrant condition of parents, etc.) had different mental health problems. Conclusion The results of the current research indicate that the left-behind children have many mental health problems. However, the results are still controversial. The definitions of left-behind children have not been unified and the quality of current studies is generally low, which might influence the synthesis of results. High quality of controlled studies and long-term prospective cohort studies need to be conducted to study more accurately and deeply on the left-behind children’s mental health and on the differences between the left-behind children and non-left-behind children.
ObjectiveTo analyze the prevalence, regional differences, and influencing factors of depression in the middle-aged and elderly population aged 45 years and above in China. MethodsData were obtained from the latest survey data of the China Health and Retirement Longitudinal Study (CHARLS) in 2020, and the CES-D-10 scale was used to assess depression among respondents, and χ2 test and binary logistic regression were used to screen for the influencing factors of depression. ResultsA total of 10 583 valid samples were included, with 47.7% males and 52.3% females, and the mean age was (65.3±8.0) years. The average CES-D-10 scale score of the study population was (9.11±6.53), and the prevalence rate of depression was 40.5% (95%CI 39.6% to 41.5%), with a significantly higher prevalence rate of depression in the Midwestern population than the Eastern population. The gender, age, living with a partner, education, region, urban/rural, duration of sleep, internet access, alcohol consumption, number of chronic diseases, and the presence of ADL and IADL disorders are the influencing factors of depression in middle-aged and elderly populations. ConclusionThe prevalence of depression in the middle-aged and elderly population in China is high, but there are significant differences in the prevalence rates of populations with different characteristics, and the high-risk groups should be emphasized when improving the mental health of the middle-aged and elderly population.
ObjectiveTo systematically review the efficacy of cognitive behavioral therapy (CBT) for improving mental health and social functions in patients with multiple sclerosis (MS). MethodsWe searched PubMed, EMbase, The Cochrane Library (Issue 4, 2016), CBM and CNKI from inception to May 2016, to collect randomized controlled trials (RCT) about CBT on mental health and social function in patients with MS. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of included studies. Then meta-analysis was performed by using RevMan 5.3 software. ResultsA total of 11 RCTs involving 1 102 patients were included. The results of meta-analysis showed that, the HADS scores (depression: MD=-1.28, 95%CI-2.07 to-0.48, P=0.002; anxiety: MD=-1.52, 95%CI-2.99 to-0.06, P=0.04), BDI scores (MD=-9.11, 95% CI-15.82 to-2.40, P=0.008), HRDS scores (MD=-7.23, 95% CI-13.65 to-0.82, P=0.03), Chalder scores (MD=-4.88, 95% CI-6.61 to-3.16, P < 0.000 01), MFIS scores (MD=-2.98, 95% CI-4.52 to-1.44, P=0.000 2) and GHQ-12 scores (MD=-3.61, 95%CI-5.20 to-2.02, P < 0.000 01) in the CBT group were lower than that in the control group. No significant difference was found in WSAS scores (MD=-1.98, 95%CI-4.88 to 0.93, P=0.18) between two groups. ConclusionCBT may be effective for improving the negative mental experience, fatigue and quality of life in MS. No evidence to support CBT has benefits in social functions. Due to the limited quantity and quality of the included studies, the above conclusion needs to be verified by more high quality studies.
Objective To investigate the psychological state of college students in the areas affected by the Wenchuan earthquake. Methods A total of 562 college students were selected by stratified random cluster sampling. A self-designed questionnaire as well as Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS) and Social Support Rating Scale (SSRS) were used for survey. Results The SDS scores (46.16±11.95) and SAS scores (34.60±6.50) of the college students were significantly higher than those of the national norms (Plt;0.001), while the SSRS scores (40.46±8.76) were lower than those of the national norms (Plt;0.001). The scores of SSRS and its three dimensions were positively correlated with the SAS scores and were negatively correlated with the SDS scores. Conclusion The college students in the areas affected by the Wenchuan earthquake suffer from anxiety and depression disorders. Good social support is one of the important measures to maintain their mental health.
ObjectiveTo investigate the psychological status and its influencing factors of hospital staff during the outbreak of coronavirus disease 2019 (COVID-19), and provide a reference for psychological intervention strategies for hospital staff in public health emergencies.MethodsIn this cross-sectional study, we investigated the staff of Mianzhu People’s Hospital through an anonymous questionnaire survey sent through WeChat group from February 13th to 18th, 2020, to analyze the psychological situation and influencing factors of the on-the-job staff. SPSS 22.0 software was used for statistical analysis.ResultsAmong the 1 115 staff members who met the inclusion criteria, 951 completed the questionnaire, with a response rate of 85.3%. There were 945 valid questionnaires, with an effective response rate of 84.8%. A total of 224 staff members (23.7%) had mental health problems. Multivariate logistic regression analysis showed that the total scores of social support [odds ratio (OR)=0.869, 95% confidence interval (CI) (0.805, 0.938), P<0.001] and the total scores of stress coping strategies [OR=0.685, 95%CI (0.607, 0.772), P<0.001] were protective factors of psychological status, while having kids [OR=1.607, 95%CI (1.084, 2.382), P=0.018] and the position being logistic worker [OR=2.229, 95%CI (1.326, 3.746), P=0.002] were risk factors of psychological status.ConclusionsDuring the outbreak of COVID-19, mental health problems emerged among the staff of designated medical treatment hospital. When a public health emergency occurs, hospitals and relevant departments should take psychological intervention measures as soon as possible to ensure the work of epidemic prevention and control.