1.Validity and reliability of the Positive Beliefs About Rumination Scale in Chinese college students
Shuhong QIAN ; Yingjie JIANG ; Mei XIE
Chinese Mental Health Journal 2024;38(9):827-832
Objective:To evaluate the validity and reliability of Positive Beliefs About Rumination Scale(PBRS)in Chinese college students.Methods:A total of 968 college students were selected.Exploratory factor a-nalysis,criterion validity and internal consistency reliability test were performed on sample 1(n=496).The Rumi-native Responses Scale(RRS),Metacognitions Questionnaire(MCQ)and Beck Depression Inventory-Ⅱ(BDI-Ⅱ)were used as criteria for criterion validity test.Confirmatory factor analysis and Measurement invariance across gen-der were performed on sample 2(n=472).The 87 college studentsin sample 1 were retested 6 weeks later.Results:The exploratory factor analysis found 1 factor,which explained 54.39%of the total variance.The confirmatory factor analysis showed that the 1-factor model fitted well(x2/df=3.38,CFI=0.962,TLI=0.940,SRMR=0.043,RMSEA=0.071).The scores of the Positive Beliefs About Rumination Scale were positively cor-related with the scores of RRS,MCQ and BDI-Ⅱ(ICC=0.37,0.41,0.12,Ps<0.01).The Cronbach α coefficient of the Positive Beliefs About Rumination Scale was 0.89.The retest reliability(ICC)of the Positive Beliefs About Rumination Scale was 0.72.The configural,weak,strong and strict invariance of the PBRS across gender were all acceptable(△CFI,△TLI<0.01).Conclusion:The Positive Beliefs About Rumination Scale has good validity and reliability in Chinese college students.
2.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
3.Effects of applying procyanidins on the bond strength of bleached dentin to composite resin
LI Shuhong ; CHEN Hongxi ; ZHOU Liping ; YANG Qian ; XIE Cuiliu
Journal of Prevention and Treatment for Stomatological Diseases 2023;31(4):245-251
Objective:
To study the influence of procyanidins on the bonding strength of dentin bleached by carbamide peroxide to composite resin.
Methods :
By applying different treatments to dentin bonding interfaces, 120 human third molars were randomly divided into 12 groups (n = 10): W group (no bleaching+deionized water), Wa group (no bleaching+deionized water+aging), WT1 group (no bleaching+5% procyanidins for 1 min), WT1a group (no bleaching+5% procyanidins for 1 min+aging), WT2 group (no bleaching+5% procyanidins for 5 min), WT2a group (no bleaching+5% procyanidins for 5 min+aging), C group (carbamide peroxide+deionized water), Ca group (carbamide peroxide+deionized water+aging), CT1 group (carbamide peroxide+5% procyanidins for 1 min), CT1a group (carbamide peroxide+5% procyanidins for 1 min+aging), CT2 group (carbamide peroxide+5% procyanidins for 5 min), and CT2a group (carbamide peroxide+5% procyanidins for 5 min+aging). The bond strength to composite resin was measured by universal mechanical testing machine, microstructure and the nanoleakages were measured by scanning electron microscope immediately or after the thermal cycling aging test.
Results:
The immediate bond strength of the bleached groups pretreated with procyanidins for 1 min (P<0.001) and 5 min (P<0.001) was higher than that of Group C, and the difference was statistically significant. Meanwhile, there was no statistically significant difference between Group CT1 and Group CT2 (P = 1.000). After the thermal cycles, the bond strength of each group declined. The differences between Group W and Group Wa (P<0.001) and Group C and Group Ca (P<0.001) were statistically significant, but no significant differences between Group CT1 and Group CT1a (P = 0.052) or Group CT2 and Group CT2a (P = 0.053) were found. The main effects of “aging” (P<0.001), “bleaching” (P<0.001) and “procyanidins” (P<0.001) and the second-order interaction effects of “bleaching * procyanidins” (P = 0.008), “bleaching * aging” (P = 0.024), and “aging * procyanidins” (P<0.001) were statistically significant. SEM observations showed that the hybrid layers in Groups C, CT1 and CT2 were not clear, and the hybrid layers in Groups Ca, CT1a and CT2a were partially destroyed and disintegrated. Under backscattering mode, it was observed that there were a large number of silver nitrate particles in the hybrid layer of Group Ca, and the residual silver ions in the hybrid layer of Groups CT1a and CT2a were decreased.
Conclusion
Pretreatment with 5% procyanidins for 1 min can improve the immediate bond strength of dentin bleached by carbamide peroxide to composite resin and maintain bonding durability.
4.Relationship between clinical blood demand and its influencing factors
Shuhong XIE ; Sijing ZHANG ; Qi XIAO ; Weibin YAN
Chinese Journal of Blood Transfusion 2023;36(3):249-253
【Objective】 To study the relationship between the key influencing factors and the short, medium and long term blood demand, so as to provide basis for building a blood demand prediction model with less prediction error and practical guidance. 【Methods】 Through literature research, the influencing factors of blood demand were preliminarily determined. Questionnaires were designed and distributed to relevant experts, and factor analysis was carried out on the survey results to obtain key influencing factors through Delphi method. 【Results】 Through literature research, 19 influencing factors of clinical blood demand were obtained, including policy factors, medical service demand, medical technology level, regional population, population characteristics, population structure, medical resource, number of beds, culture, natural environment, operation, patients outside the region, blood use in different departments, blood infusion, time trend, emergencies and disasters, the condition of disasters, hospitals in disaster area, limited diagnosis and treatment ability. Through Delphi method and data analysis, six key factors affecting blood demand were obtained, namely sudden disaster, medical resource, environmental factor, population, bed number and blood infusion. 【Conclusion】 The influence of key factors on clinical blood demand was divided into multiple hierarchies. Blood infusion and sudden disaster were short-term influencing factors. Medical resource, population and number of beds were medium influencing factors. Environmental factor was long-term influencing factor. Short, medium and long-term influencing factors were interrelated, and have different impacts on clinical blood demand. Based on the interaction relationship, a three-dimensional mathematical model of influencing factors of clinical blood demand was established, which provided a preliminary research basis for building a blood demand prediction model with less prediction error and practical guidance.
5.Research on Runx2 gene induced differentiation of human amniotic mesenchymal stem cells into ligament fibroblasts in vitro and promotion of tendon-bone healing in rabbits.
Tao XIE ; Hehe ZHONG ; Ying JIN ; Xiuqi LIU ; Fang CHEN ; Kuan XIANG ; Shuhong WU
Chinese Journal of Reparative and Reconstructive Surgery 2023;37(12):1523-1532
OBJECTIVE:
To investigate whether the Runx2 gene can induce the differentiation of human amniotic mesenchymal stem cells (hAMSCs) to ligament fibroblasts in vitro and promote the tendon-bone healing in rabbits.
METHODS:
hAMSCs were isolated from the placentas voluntarily donated from healthy parturients and passaged, and then identified by flow cytometric identification. Adenoviral vectors carrying Runx2 gene (Ad-Runx2) and empty vector adenovirus (Ad-NC) were constructed and viral titer assay; then, the 3rd generation hAMSCs were transfected with Ad-Runx2 (Ad-Runx2 group) or Ad-NC (Ad-NC group). The real-time fluorescence quantitative PCR and Western blot were used to detect Runx2 gene and protein expression to verify the effectiveness of Ad-Runx2 transfection of hAMSCs; and at 3 and 7 days after transfection, real-time fluorescence quantitative PCR was further used to detect the expressions of ligament fibroblast-related genes [vascular endothelial growth factor (VEGF), collagen type Ⅰ, Fibronectin, and Tenascin-C]. The hAMSCs were used as a blank control group. The hAMSCs, hAMSCs transfected with Ad-NC, and hAMSCs were mixed with Matrigel according to the ratio of 1 : 1 and 1 : 2 to construct the cell-scaffold compound. Cell proliferation was detected by cell counting kit 8 (CCK-8) assay, and the corresponding cell-scaffold compound with better proliferation were taken for subsequent animal experiments. Twelve New Zealand white rabbits were randomly divided into 4 groups of sham operation group (Sham group), anterior cruciate ligament reconstruction group (ACLR group), anterior cruciate ligament reconstruction+hAMSCs transfected with Ad-NC-scaffold compound group (Ad-NC group), and anterior cruciate ligament reconstruction+hAMSCs transfected with Ad-Runx2-scaffold compound group (Ad-Runx2 group), with 3 rabbits in each group. After preparing the ACL reconstruction model, the Ad-NC group and the Ad-Runx2 group injected the optimal hAMSCs-Matrigel compunds into the bone channel correspondingly. The samples were taken for gross, histological (HE staining and sirius red staining), and immunofluorescence staining observation at 1 month after operation to evaluate the inflammatory cell infiltration as well as collagen and Tenascin-C content in the ligament tissues.
RESULTS:
Flow cytometric identification of the isolated cells conformed to the phenotypic characteristics of MSCs. The Runx2 gene was successfully transfected into hAMSCs. Compared with the Ad-NC group, the relative expressions of VEGF and collagen type Ⅰ genes in the Ad-Runx2 group significantly increased at 3 and 7 days after transfection ( P<0.05), Fibronectin significantly increased at 3 days ( P<0.05), and Tenascin-C significantly increased at 3 days and decreased at 7 days ( P<0.05). CCK-8 detection showed that there was no significant difference ( P>0.05) in the cell proliferation between groups and between different time points after mixed culture of two ratios. So the cell-scaffold compound constructed in the ratio of 1∶1 was selected for subsequent experiments. Animal experiments showed that at 1 month after operation, the continuity of the grafted tendon was complete in all groups; HE staining showed that the tissue repair in the Ad-Runx2 group was better and there were fewer inflammatory cells when compared with the ACLR group and the Ad-NC group; sirius red staining and immunofluorescence staining showed that the Ad-Runx2 group had more collagen typeⅠ and Ⅲ fibers, tending to form a normal ACL structure. However, the fluorescence intensity of Tenascin-C protein was weakening when compared to the ACLR and Ad-NC groups.
CONCLUSION
Runx2 gene transfection of hAMSCs induces directed differentiation to ligament fibroblasts and promotes tendon-bone healing in reconstructed anterior cruciate ligament in rabbits.
Pregnancy
;
Female
;
Humans
;
Rabbits
;
Animals
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Vascular Endothelial Growth Factor A/metabolism*
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Fibronectins/metabolism*
;
Collagen Type I/genetics*
;
Tenascin/metabolism*
;
Collagen/metabolism*
;
Anterior Cruciate Ligament/surgery*
;
Mesenchymal Stem Cells
;
Tendons/metabolism*
;
Fibroblasts/metabolism*
6.Effects of exercise rehabilitation on frailty of elderly patients with coronary heart disease after PCI
Chong CHENG ; Yanfang ZHAO ; Shuhong WAN ; Min GAO ; Fengyuan LONG ; Li XIE ; Lingling CAI
Chinese Journal of Modern Nursing 2023;29(1):46-51
Objective:To investigate the effect of exercise rehabilitation on frailty of elderly patients with coronary heart disease after percutaneous coronary intervention (PCI) .Methods:From January to December 2021, 80 elderly patients with coronary heart disease who received PCI in Qinhuai Medical Area of General Hospital of Eastern Theater Command were selected as the study subject by convenience sampling. A total of 39 patients from January to June 2021 were set in the control group, and 41 patients from July to December 2021 were set in the experimental group. The control group was given routine nursing, and the experimental group was given systematic exercise rehabilitation on the basis of the control group. The effects of intervention were evaluated by Tilburg Frailty Index (FI) , Cardiac Exercise Self-Efficacy Instrument (CESEI) , cardiac function, exercise tolerance, and 6-minute Walking Distance (6MWD) .Results:There was no significant difference in FI and CESEI scores between the two groups before intervention ( P>0.05) . After intervention, the FI score of patients in the experimental group was lower than that in the control group, and the CESEI score was higher than that in the control group, with statistically significant differences ( P<0.05) . There was no significant difference in cardiac function, exercise tolerance and 6MWD between the two groups before intervention ( P>0.05) . After intervention, there were statistically significant differences in cardiac function, exercise tolerance and 6MWD between the two groups ( P<0.05) . Conclusions:Exercise rehabilitation can effectively alleviate the frailty of elderly patients with coronary heart disease after PCI, improve their exercise compliance, cardiac function and exercise tolerance, which is worthy of clinical promotion.
7.Research hotspot and visualization analysis of mobile medical application in monitoring cardiac function of patients with heart disease
Min GAO ; Shuhong WAN ; Chong CHENG ; Fengyuan LONG ; Li XIE ; Lingling CAI ; Ting GE
Chinese Journal of Modern Nursing 2023;29(5):651-655
Objective:To analyze the research hotspots of the application of mobile health in cardiac function monitoring of patients with heart disease and to conduct a visual analysis.Method:Subject field retrieval was carried out based on Web of Science Core Collection. The retrieval time range was set from 2000 to 2022, and the type of paper was limited to treatise. The retrieved literatures were imported into Endnote 7 for screening, and the repetitive and unrelated literatures were excluded. A total of 291 literatures were included in this study. Open refine 2.8 was used for data cleaning of synonyms and then VOSviewer 1.6.18 was used for visualization analysis of country/region, author and keywords.Results:Research reports on the application of mobile medical in the field of cardiac function monitoring in patients with heart disease have been growing steadily since 2005, and the number of articles published in the field increased rapidly from 2020 to 2021. The top five countries with the highest number of publications were the United States (71) , Australia (20) , China (18) , the United Kingdom (14) and Sweden (13) . The cooperation and exchange among global researchers were relatively close, but they were still dominated by regional cooperation and had not formed a large core group of authors. A total of 71 high-frequency keywords were included, and the top five were mhealth (30 times) , heart failure (27 times) , smartphone (26 times) , telemedicine (15 times) and mobile phone (17 times) . Each cluster keyword was related to each other, which represented the current research hotspot content respectively.Conclusions:At present, number of publications in China ranks first in the world, but there is still a big gap compared with the United States. The development and optimization of monitoring equipment and mobile medical APP have become the focus and hot topics.
8.Study on prediction of clinical demand for plasma components in Suzhou city based on ARIMA model
Shuhong XIE ; Sijing ZHANG ; Mingyuan WANG ; Qi XIAO ; Yan YU ; Weibing YAN
Chinese Journal of Blood Transfusion 2021;34(12):1370-1373
【Objective】 To establish a prediction model of clinical blood demand in Suzhou urban area by ARIMA model, and to predict future clinical blood demand by sorting out the historical data, so as to guide the reasonable collection and scientific deployment of blood resources, and achieve the balance of clinical blood supply and demand. 【Methods】 The monthly data of clinical use of plasma components in Suzhou city from 2009 to 2019 were obtained, and analyzed by SPSS26 software and ARIMA model. Through model identification, parameter estimation and optimal model test, the optimal model for clinical blood prediction was determined and used to predict the clinical consumption of plasma components from January to November 2020. The predicted value was compared with the actual value to verify the prediction effect of the model. 【Results】 The optimal model was ARIMA(0, 1, 1)(0, 1, 1)12. The values of ACF autocorrelation function and PACF partial autocorrelation function of residual were both within 95%CI. Meanwhile, the Yang-Box Q statistic value was 11.596, P>0.05, which passed the white noise test. The predicted values of clinical consumption of plasma components in Suzhou urban area from January to November 2020 were all within 95%CI, consistent with the trend of actual values, with small mean relative error(7.9%) and good prediction effect. 【Conclusion】 ARIMA model can be used for short-term prediction on clinical use of plasma components in Suzhou city, and provide reference for reasonable collection, preparation and scientific deployment.
9.Prediction on clinical platelet demand in Suzhou based on ARIMA model
Chinese Journal of Blood Transfusion 2021;34(10):1134-1137
【Objective】 To establish an ARIMA model suitable for clinical platelet demand prediction in Suzhou, which can be used as reference to predict future clinical platelet demand and provide scientific basis for platelet collection, preparation, stock management and clinical deployment for blood banks, so as to achieve the maximum balance between platelets supply and demand . 【Methods】 The data of platelet consumption in Suzhou from 2009 to 2019 were collected and analyzed by SPSS 26 software, Time series analysis method was used to establish the ARIMA model. The model was further optimized through model identification, parameter estimation and optimal model test, and then used to predict clinical platelet consumption from January to November 2020. The predicted value was compared with the actual value to verify the prediction effect of the model. 【Results】 The optimal model for the prediction of platelet clinical demand was ARIMA (0, 1, 1) (0, 1, 1)
10.Psychological status of the staff in a general hospital during the outbreak of coronavirus disease 2019 and its influential factors.
Furong JIANG ; Siyu LIU ; Nan ZHAO ; Yanhui XIE ; Shuhong WANG ; Xinbo OUYANG ; Feng GUO ; Zhicheng GONG ; Qiuhong ZHOU ; Jianling LI
Journal of Central South University(Medical Sciences) 2020;45(6):641-648
OBJECTIVES:
To understand the psychological status of the staff in a general hospital during the coronavirus disease 2019 and its influential factors, and to provide references for the mental health services to hospital staff.
METHODS:
Using star platform of questionnaire, the staff in the general hospital were investigated via Depression, Anxiety, Stress Scale (DASS-21), Social Support Rating Scale (SSRS) and Simplified Coping Style Questionnaire (SCSQ). The influential factors were discussed by descriptive analysis, rank sum test, single factor analysis, correlation analysis and multiple factors binary logistic regression analysis.
RESULTS:
A total of 2 060 valid questionnaires were collected. The negative emotions of nurses and cleaners were the most obvious. The depression scores, anxiety scores and stress scores for nurses and cleaners were 5.06±7.47, 6.36±7.84, 9.75±8.65, and 6.72±8.84, 4.51±6.56, 9.69±9.56, respectively. Multivariate binary logistic regression analysis showed that staff types, education levels, job status, economic situation and concerns on the supplies of protective goods were the main influential factors for depression; staff types, contacting status with infected patients, economic situation, concerns on the supplies of protective goods, history of disease were the main influential factors for anxiety; contacting status with infected patients, economic situation, concerns on the supplies of protective goods were the main influential factors for stress.
CONCLUSIONS
There are differences in psychological characteristics among different groups of staff in the general hospital under the outbreak. Thus psychological protection and intervention measures should be formulated according to different groups and work status.
Adaptation, Psychological
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Anxiety
;
diagnosis
;
Betacoronavirus
;
China
;
Coronavirus Infections
;
psychology
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Cross-Sectional Studies
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Depression
;
diagnosis
;
Disease Outbreaks
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Hospitals, General
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Humans
;
Pandemics
;
Personnel, Hospital
;
psychology
;
Pneumonia, Viral
;
psychology
;
Stress, Psychological
;
Surveys and Questionnaires


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