Physical discomforts, feeling of the high work intensity and the related risk factors of the frontline medical staff during COVID-19 epidemic: an early-outbreak, national survey in China.

Background: Facing the unknown virus, COVID-19 medical staff kept wearing thick personal protective equipment during their work in the early stage of the outbreak. The survey was designed to investigate the physical discomforts, the feeling of the work intensity and the related risk factors of the frontline medical staff during COVID-19 epidemic in the early outbreak. Methods: An national survey was carried out in China from March 17th 2020 to March 20th 2020 by applying a standardized WeChat questionnaire survey. The doctors or nurses working in the wards for the confirmed COVID-19 patients on front-line were eligible to participate in the survey. Descriptive analysis and multivariate logistic regression analysis were used. Results: A total number of 515 COVID-19 medical staff, including 190 physicians and 325 nurses participated in this survey. 375 medical staff (72.8%) experienced physical discomforts at work, mostly consist of dyspnea (45.8%), pain (41.0%), chest distress (24.1%), dizziness (18.8%), and weakness (17.5%), while wearing thick isolation clothes at work. The mean onset time and peak time of these symptoms were 2.4 h and 3.5 h after working, respectively. 337 medical staff (65.4%) suffered from sleep disorders. 51 medical staff (10%) were highly worried about being infected by COVID-19 even during their work breaks. 246 medical staffs (47.8%) felt high work intensity and the independent influential factors were the effective daily sleep time and anxiety levels at break time (p = 0.04). Conclusion: The frontline medical staff during COVID-19 epidemic felt different physical discomforts when they wear thick isolation clothes at work in the early outbreak and they felt high work intensity. These precious data will help optimize the work management strategy to ensure the physical and mental health of medical staff in the face of similar outbreaks in future.

[The moderating effect analysis of mindfulness on perceived stress and job burnout of medical staff].

Objective: To explore the moderating mechanism of mindfulness on perceived stress and job burnout of medical staff. Methods: From November 2020 to March 2022, 1626 medical staff were investigated by questionnaires. Chinese Version Perceived Stress Scale (CPSS), Maslach Burnout Inventory-Human Service Survey (MBI-HSS) and Mindful Attention Awareness Scale (MAAS) were used to evaluate the perceived stress, three dimensions of job burnout[depersonalization (DP), emotional exhaustion (EE), personal accomplishment (PA) ], and mindfulness level of medical staff. The Spearman rank correlation analysis was used to analyze the correlation between mindfulness and perceived stress, job burnout of medical staff. And the SPSS PROCESS macro program was used to test the moderating effect of mindfulness on perceived stress and job burnout. Results: Among the 1626 medical staff, 57.38% had perceived stress with health risk (933/1626), and 63.84% (1038/1626) had job burnout, among them, with 618 (38.01%), 274 (16.85%), and 146 (8.98%) experiencing mild, moderate and severe job burnout, respectively. The scores of mindfulness among medical staff were significantly correlated with perceived stress and various dimensions of job burnout (EE, DP and PA) (r(s)=-0.155, -0.351, -0.315, 0.307, P<0.001). Mindfulness had a moderating effect between perceived stress and job burnout, which was achieved through three moderating pathways: perceived stress-mindfulness-EE, perceived stress-mindfulness-DP and perceived stress-mindfulness-PA (ΔR(2)=0.073, 0.06, 0.006, P<0.001) . Conclusion: Medical staff have a high level of job burnout, mindfulness plays a moderating role between perceived stress and job burnout. Specific measures can be taken to improve the level of mindfulness in medical staff, so as to prevent and alleviate job burnout of medical staff.

The influence of changes in the Chinese COVID-19 prevention and control policies on mental health of medical staff: A network analysis.

BACKGROUND: Shortly after the first outbreak of COVID-19 in Wuhan, the disease spread rapidly around the world. Previous findings reported an increase in mental health problems among Chinese medical staff, but there was a lack of research following changes in COVID-19 prevention and control policies. METHODS: Medical staff were recruited separately in China from 15 to 16 December 2022 (N = 765, wave 1) and from 5 to 8 January 2023 (N = 690, wave 2). All participants completed the assessments of Generalized Anxiety Disorder-7, the Patient Health Questionnaire-9 and the Euthymia Scale. Network analysis was used to explore the relationships between symptoms both within and across depression, anxiety and euthymia. RESULTS: Medical staff showed worse anxiety, depression and euthymia at wave 2 than at wave 1. Depression, motor, restlessness and uncontrollable worrying showed high centrality (i.e., strength, expected influence, closeness) at wave 1, but higher at peak. Meanwhile, motor symptoms and restlessness showed the strongest connection between different mental disorders at both wave 1 and wave 2. The network structure was stable over time after the relaxation of the infection policy. LIMITATIONS: Our participants were not a random sample and the assessments were based on self-reports. CONCLUSIONS: This study indicated the changes in central and bridging symptoms in medical staff at different stages after lifting of restrictions and the withdrawal of testing requirements, which provided management suggestions for the Chinese government and hospitals, as well as clinical guidance for psychological interventions.

Examining the Relationship between Death Anxiety and Well-Being of Frontline Medical Staff during the COVID-19 Pandemic.

To examine the well-being of medical staff during the COVID-19 pandemic, we conducted a survey of 705 medical staff who were involved in anti-epidemic work in China from 20 February to 16 March 2020. The findings of the present study showed a "psychological typhoon eye" effect in which the medical staff in areas with a high contagion rate showed a significantly lower level of death anxiety than those in low-contagion regions. We also found a significant negative relationship between death anxiety and hedonic well-being, but there was no relationship between death anxiety and eudaimonic well-being. Moreover, the results revealed that a narcissistic personality moderates the relationships between death anxiety and the two types of well-being. For those who had higher narcissistic personality scores, death anxiety had no negative effect on their well-being. The findings of the present study can help us to better understand the life profiles of medical staff and can also provide some practical implications for understanding the life conditions of medical staff when facing a great health crisis.

Relationship between stress and alexithymia, emotional processing and negative/positive affect in medical staff working amid the COVID-19 pandemic.

The psychological burden of the COVID-19 pandemic may have a lasting effect on emotional well-being of healthcare workers. Medical personnel working at the time of the pandemic may experience elevated occupational stress due to the uncontrollability of the virus, high perceived risk of infection, poor understanding of the novel virus transmission routes and unavailability of effective antiviral agents. This study used path analysis to analyze the relationship between stress and alexithymia, emotional processing and negative/positive affect in healthcare workers. The sample included 167 nurses, 65 physicians and 53 paramedics. Sixty-two (21.75 %) respondents worked in COVID-19-designated hospitals. Respondents were administered the Toronto Alexithymia Scale-20, Cohen's Perceived Stress Scale, Emotional Processing Scale, and the Positive and Negative Affect Schedule. The model showed excellent fit indices (χ2 (2)=2.642, p=0.267; CFI=0.999, RMSEA=0.034, SRMR=0.015). Multiple group path analysis demonstrated physicians differed from nurses and paramedics at the model level (X2diff (7)=14.155, p<0.05 and X2diff (7)=18.642, p<0.01, respectively). The relationship between alexithymia and emotional processing was stronger in nurses than in physicians (difference in beta=0.27; p<0.05). Individual path χ2 tests also revealed significantly different paths across these groups. The results of the study may be used to develop evidence-based intervention programs promoting healthcare workers' mental health and well-being.

The psychological impact of COVID-19 pandemic on medical staff in Guangdong, China: a cross-sectional study.

BACKGROUND: During previous pandemic outbreaks, medical staff have reported high levels of psychological distress. The aim of the current study was to report a snapshot of the psychological impact of the coronavirus disease 2019 (COVID-19) pandemic and its correlated factors on medical staff in Guangdong, China. METHODS: On the 2nd and 3rd February 2020, soon after the start of the COVID-19 pandemic, we surveyed medical staff at four hospitals in Guangdong, China, to collect demographic characteristics, Hospital Anxiety and Depression Scale (HADS), Perceived Stress Scale (PSS-14), and Insomnia Severity Index (ISI) scores. RESULTS: Complete responses were received from 1045 medical staff. Respondents were divided into high- and low-risk groups according to their working environment of contacting with potential or confirmed COVID-19 cases. The proportion of staff with anxiety (55.4% v. 43.0%, p < 0.001) or depression (43.6% v. 36.8%, p = 0.028) was significantly higher in the high-risk group than the low-risk group. The percentage of staff with severe anxiety was similar in the two groups. Doctors were more susceptible to moderate-to-severe depressive symptoms. The high-risk group had higher levels of clinical insomnia (13.5% v. 8.5%, p = 0.011) and were more likely to be in the upper quartile for stress symptoms (24.7% v. 19.3%, p = 0.037) than the low-risk group. Additionally, work experience negatively correlated with insomnia symptoms. CONCLUSIONS: It is important for hospitals and authorities to protect both the physical and psychological health of medical staff during times of pandemic, even those with a low exposure risk.

Two-stage mental health survey of first-line medical staff after ending COVID-19 epidemic assistance and isolation.

Facing with COVID-19 epidemic such a catastrophic health emergency, the mental health status of medical staff deserves attention. We conducted a two-stage of psychological status monitoring after the end of the assistance and 14 days of isolation, further targeted the vulnerable groups in need of intervention. The study is a cross-sectional survey on 1156 Yunnan medical staff aid to Hubei. Used Cluster sampling method to collect data at 2 time points (at the end of returning from Wuhan and the 14th day of isolation), from March 18, 2020 to April 6, 2020. Female and nurse had higher rates of depressive symptoms than male and doctors and other occupations. The proportion of female with mild and above moderate anxiety levels (22.91%, 2.61%) was higher than male (17.35%, 1.03%) (p < 0.05). Female had a better impaired sleep quality (45.06%, 17.49%) more than male (28.57%, 7.94%). Medical staff supported in Wuhan and with junior professional titles reported a higher proportion of sleep quality impairment. At the 14th isolation day stage, the proportion of nurses changed from depression to health (9.15%) and from health to depression (6.1%) better than doctors. The front-line medical staffs had suffered greater psychological pressure in the treatment process of major public health emergency. Researches on the dynamic monitor for the change of psychological status after aiding epidemic areas were still in relatively blank stage. Targeting the vulnerable characteristics of aiding medical staff is significant for effective psychological intervention and sustainable operation of health system.

State and trait anxiety among medical staff during the first month of COVID-19 pandemic: A sample from Turkey.

OBJECTIVES: During the COVID-19 pandemic, excessive workload, a rapidly changing workplace environment, the danger of carrying the virus and transmitting the disease to their families, relatives and those they live with creates stress for the medical workers. In our study, we aimed to evaluate the state and trait anxiety levels of healthcare professionals who encounter patients with suspected COVID-19 infection and related factors. METHOD: Data were collected from healthcare professionals working with patients diagnosed or suspected with COVID-19 via online self-report questionnaire between 9-19 April 2020. The state (STAI-S) and trait anxiety (STAI-T) scale was used to measure anxiety. RESULTS: A total of 291 healthcare professionals, 216 women and 75 men, participated in the study. Women's state and trait anxiety were significantly higher than men's. 11 participants without any lifetime psychiatric illness experienced psychiatric symptoms and consulted to a psychiatrist. The state anxiety of those who have children, nurses and those working in branches directly related to the pandemic (Infectious Diseases, Respiratory Diseases, Emergency Medicine, Internal Medicine, Radiology, Anesthesiology and Reanimation) was higher than others. The state anxiety of those who thought they were not protected with personal protective equipment and those who did not stay in their own home was higher than others. CONCLUSIONS: At the forefront of the fight against COVID-19, there are medical personnel who pay a serious psychological cost. Especially in terms of anxiety, we should pay attention to women, workers with children, nurses and people working in branches that are directly related to pandemics.

An Investigation of Mental Health Status Among Medical Staff Following COVID-19 Outbreaks: A Cross-Sectional Study.

BACKGROUND COVID-19 (coronavirus disease 2019) broke out in China. This study was to investigate the situation of mental health status among medical staff following COVID-19. MATERIAL AND METHODS A cross-sectional study was conducted through structured questionnaires to collect the demographical information of the participating medical staff via WeChat following COVID-19 crisis. The Center for Epidemiologic Studies-Depression Scale (CES-D), impact of events scale revised (IES-R), and Pittsburgh Sleep Quality Index (PSQI) scale were used to evaluate depression, post-traumatic stress disorder (PTSD) symptoms, and sleep quality, respectively. 95% confidence intervals (CI) were calculated. RESULTS A total of 597 medical staff's information was included for the statistical analysis, and found 45.23% of subjects had PTSD symptoms, the mean PSQI score was 6.320±3.587. The results of multivariable analysis implied that medical workers who did not participate in the Hubei aid program (ß=4.128; 95% CI, 0.983-7.272; P=0.010) and PTSD symptoms (ß=7.212; 95% CI, 4.807-9.616; P<0.001) were associated with a higher tendency to depression. The PSQI score was linearly related to the CES-D score (ß=1.125; 95% CI, 0.804-1.445; P<0.001). Subgroup analysis showed that medical workers who did not participate in the Hubei aid program, no traumatic experience before COVID-19 outbreaks, and PTSD symptoms may affect the tendency to depression in females, but not in males. PSQI score was linearly related to the CES-D score both in males and females. CONCLUSIONS The medical staff with PTSD symptoms and higher PSQI score may have a higher tendency to depression following COVID-19 outbreaks.

Depression and anxiety symptoms to COVID-19 outbreak among the public, medical staff and patients during the initial phase of the pandemic: an online questionnaire survey by a WeChat Mini Program.

OBJECTIVES: To survey anxiety and depression symptoms to COVID-19 outbreak in the public, medical staff and patients during the initial phase of the pandemic. DESIGN: Cross-sectional online survey administered through WeChat Mini Program using Chinese versions of Zung Self-rating Depression Scale and Zung Self-rating Anxiety Scale. SETTING: Guangzhou, China. PARTICIPANTS: 47 378 public, 1512 medical staff and 125 patients with COVID-19. RESULTS: Higher rates of depression (47.8%) and anxiety symptoms (48.7%) were shown by patients who were screened positive compared with those of the public (35.6%, 25.7%) or medical staff (15.4%, 13.3%). The professional identity of a nurse, conditions of 'with an infected family member' and 'working at the frontline' were risk factors to depression or anxiety symptoms for the medical staff. Younger age, lower educational level, female and not having adequate masks were the risk factors for the public. CONCLUSION: The COVID-19 outbreak increased people's depression or anxiety emotion responses, which varied extensively among the patients, public and medical staff.

The effect of mental health on sleep quality of front-line medical staff during the COVID-19 outbreak in China: A cross-sectional study.

BACKGROUND: The 2019 coronavirus disease (COVID-19) pandemic is a public health emergency of international concern and poses a challenge to the mental health and sleep quality of front-line medical staff (FMS). The aim of this study was to investigate the sleep quality of FMS during the COVID-19 outbreak in China and analyze the relationship between mental health and sleep quality of FMS. METHODS: From February 24, 2020 to March 22, 2020, a cross-sectional study was performed with 543 FMS from a medical center in Western China. A self-reported questionnaire was used to collect data anonymously. The following tests were used: The Self-Rating Anxiety Scale (SAS) for symptoms of anxiety, the Beck Depression Inventory (BDI) for depressive symptoms, and the Pittsburgh Sleep Quality Index (PSQI) for sleep quality assessment. RESULTS: Of the 543 FMS, 216 (39.8%) were classified as subjects with poor sleep quality. Anxiety (P<0.001), depression (P<0.001), and the prevalence of those divorced or widowed (P<0.05) were more common in FMS with poor sleep quality than in participants with good sleep quality. The FMS exhibiting co-occurrence of anxiety and depression were associated with worse scores on sleep quality than those medical staff in the other three groups/categories. The difference in sleep quality between the FMS with only depression and the FMS experiencing co-occurrence of anxiety and depression was statistically significant (P<0.05). However, there was no significant difference in sleep quality between the FMS experiencing only anxiety and the FMS with co-occurrence of anxiety and depression (P > 0.05). CONCLUSIONS: During the COVID-19 pandemic, there was a noteworthy increase in the prevalence of negative emotions and sentiments among the medical staff, along with poor overall sleep quality. We anticipate that this study can stimulate more research into the mental state of FMS during outbreaks and other public health emergencies. In addition, particular attention must be paid to enhance the sleep quality of FMS, along with better planning and support for FMS who are continuously exposed to the existing viral epidemic by virtue of the nature of their profession.

Prevalence and influencing factors of anxiety and depression symptoms among the first-line medical staff in Wuhan mobile cabin hospital during the COVID-19 epidemic: A cross-sectional survey.

ABSTRACT: To investigate the prevalence of anxiety and depressive symptoms and the associated risk factors among first-line medical staff in Wuhan during the coronavirus disease 2019 (COVID-19) epidemic.From March 5 to 15, 2020, the Hamilton Anxiety Scale and Hamilton Depression scale were used to investigate the anxiety and depression status of medical staff in Wuhan Cabin Hospital (a Hospital). Two hundred seventy-six questionnaires were received from 96 doctors and 180 nurses, including 79 males and 197 females.During the COVID-19 epidemic, the prevalence rate of anxiety and depression was 27.9% and 18.1%, respectively, among 276 front-line medical staff in Wuhan. The prevalence rate of anxiety and depression among doctors was 19.8% and 11.5%, respectively, and the prevalence rate of anxiety and depression among nurses was 32.2% and 21.7%, respectively. Females recorded higher total scores for anxiety and depression than males, and nurses recorded higher scores for anxiety and depression than doctors.During the COVID-19 epidemic, some first-line medical staff experienced mental health problems such as depression and anxiety. Nurses were more prone to anxiety and depression than doctors. Effective strategies toward to improving the mental health should be provided to first-line medical staff, especially female medical staff and nurses.

The experiences, challenges, and acceptance of e-learning as a tool for teaching during the COVID-19 pandemic among university medical staff.

BACKGROUND: e-learning was underutilized in the past especially in developing countries. However, the current crisis of the COVID-19 pandemic forced the entire world to rely on it for education. OBJECTIVES: To estimate the university medical staff perceptions, evaluate their experiences, recognize their barriers, challenges of e-learning during the COVID-19 pandemic, and investigate factors influencing the acceptance and use of e-learning as a tool teaching within higher education. METHODS: Data was collected using an electronic questionnaire with a validated Technology Acceptance Model (TAM) for exploring factors that affect the acceptance and use of e-learning as a teaching tool among medical staff members, Zagazig University, Egypt. RESULTS: The majority (88%) of the staff members agreed that the technological skills of giving the online courses increase the educational value of the experience of the college staff. The rate of participant agreement on perceived usefulness, perceived ease of use, and acceptance of e-learning was (77.1%, 76.5%, and 80.9% respectively). The highest barriers to e-learning were insufficient/ unstable internet connectivity (40%), inadequate computer labs (36%), lack of computers/ laptops (32%), and technical problems (32%). Younger age, teaching experience less than 10 years, and being a male are the most important indicators affecting e-learning acceptance. CONCLUSION: This study highlights the challenges and factors influencing the acceptance, and use of e-learning as a tool for teaching within higher education. Thus, it will help to develop a strategic plan for the successful implementation of e-learning and view technology as a positive step towards evolution and change.

The Pathways from Type A Personality to Physical and Mental Health Amid COVID-19: A Multiple-Group Path Model of Frontline Anti-Epidemic Medical Staff and Ordinary People.

During the COVID-19 pandemic, a survey was conducted using the questionnaire method among participants consisting of both ordinary people (n = 325) and frontline anti-epidemic medical staff (n = 310), and physiological data was obtained on the basis of physical examination. This study aimed to scrutinize the influence of Type A personality on the biochemical indicators of aspartate aminotransferase (AST) and the behavioral indicators of appetite and sleep disorder, and to analyze the mediating effect of depression. Meanwhile, multiple-group path analysis was used to evaluate path differences between the models of two samples. The results of the mediation analysis for both samples demonstrated that depression significantly mediated the relationship between Type A personality and appetite and sleep disorder. The results of multiple-group path analysis showed that the relationship between Type A personality and appetite and sleep disorder seems to be significantly stronger in ordinary people, whereas the relationship between depression and appetite and sleep disorder, as well as with the path towards AST, seems to be significantly stronger in frontline anti-epidemic medical staff. This paper provides ideas for the selection and distribution of medical personnel based on personality characteristics in major public health emergencies, and physical and mental health status should be taken into account to provide relative health assistance.

Síntomas de ansiedad y depresión en personal de salud que trabaja con enfermos de COVID-19 / Anxiety and depression symptoms in health personnel who work with COVID-19 patients

El personal de salud pública que se enfrenta a la COVID-19, está expuesto a múltiples riesgos entre ellos los trastornos psicológicos. El objetivo de este estudio fue determinar la presencia de síntomas asociados a ansiedad y depresión en personal de salud que trabaja con enfermos de la COVID-19. Se realizó un estudio descriptivo de corte transversal en el que participaron 61 profesionales y técnicos de atención sanitaria, que trabajaban directamente con pacientes con COVID-19, a los cuales se les consultó acerca de la presencia de síntomas asociados a la depresión y ansiedad, sus principales preocupaciones y el tiempo de trabajo continuo para evitar la aparición de síntomas psicológicos. El 64,1% de los participantes relató nerviosismo y 59,2% cansancio, para el 90,16% la principal preocupación fue el fallecimiento del paciente y el 60,66% de los participantes indicó que el período ideal, de atención continua de pacientes COVID-19, para evitar la aparición de síntomas psicológicos era de 7 días. Nuestros resultados sugieren que es necesario elaborar estrategias de trabajo para disminuir la aparición de síntomas asociados al deterioro de la salud mental de los profesionales de la salud que atienden pacientes COVID-19

Public health personnel facing COVID-19 are exposed to multiple risks including psychological disorders. The goal of this study was to determine the presence of symptoms associated with anxiety and depression in health personnel working with COVID-19 patients. A descriptive cross-sectional study involving 61 health care professionals and technicians was conducted, working directly with COVID-19 patients, who were consulted about the presence of symptoms associated with depression and anxiety, their main concerns and ongoing working time to avoid the onset of psychological symptoms. 64.1% of participants reported nervousness and 59.2% tiredness, for 90.16% the main concern was the patient's death and 60.66% of participants indicated that the ideal period, of continuous care of COVID-19 patients, to prevent the onset of psychological symptoms was 7 days. Our results suggest that work strategies need to be developed to decrease the onset of symptoms associated with deteriorating mental health of health professionals caring for COVID-19 patients

Lacking Communication Would Increase General Symptom Index Scores of Medical Team Members During COVID-19 Pandemic in China: A Retrospective Cohort Study.

There are few studies on the psychological status of medical staff during the COVID-19 outbreak. Our study addresses whether lack of communication affects the psychological status of medical team members supporting Wuhan during the COVID-19 pandemic in China. We used general symptom index (GSI) scores of the Symptom Checklist-90 (SCL-90) to evaluate participants' psychological status. We adopted a stratified sampling method and selected the fourth team, with a total of 137 members, as participants. In total 76.6% and 69.7% of female and male participants, respectively, had bachelor's degrees; 41.6% and 21.2% of female and male participants, respectively, were unmarried. Regarding communication, 14.29% and 6.06% of female and male participants, respectively, reported a lack of communication with the team (LCWT). Additionally, 13.0% and 6.1% of female and male participants, respectively, experienced fear of being infected (FoBI). LCWT and FoBI were positively correlated with GSI score (estimated change = 0.2, 95% CI [0.1-0.3]). When adjusted for gender, age, and FoBI, LCWT was positively correlated with GSI score (P < .05). Increasing communication among medical team members can reduce GSI scores.

Anxiety and depression symptoms of medical staff under COVID-19 epidemic in China.

BACKGROUND: It is well known that unexpected pandemic has led to an increase in mental health problems among a variety of populations. METHODS: In this study, an online non-probability sample survey was used to anonymously investigate the anxiety and depression symptoms among medical staff under the COVID-19 outbreak. The questionnaire included Perceived Stress Scale-10 (PSS-10), Generalized Anxiety Disorder 7-Item Scale (GAD-7) and Patient Health Questionnaire-9 (PHQ-9). Factors associated with anxiety and depression symptoms were estimated by logistic regression analysis. RESULTS: A total of 1090 medical staff were investigated in this study. The estimated self-reported rates of anxiety symptoms, depression symptoms and both of the two were 13.3%, 18.4% and 23.9% respectively. Factors associated with self-reported anxiety symptoms include married status (OR=2.3, 95%CI: 1.2, 4.4), not living alone (OR=0.4, 95%CI: 0.2, 0.7), never confiding their troubles to others (OR=2.2, 95%CI: 1.4, 3.5) and higher stress (OR=14.4, 95%CI: 7.8, 26.4). Factors associated with self-reported depression symptoms include not living alone (OR=0.4, 95%CI: 0.3, 0.7), sometimes/often getting care from neighbours (OR=0.6, 95%CI: 0.4, 0.9), never confiding their troubles to others (OR=2.0, 95%CI: 1.3, 3.0) and higher stress (OR=9.7, 95%CI: 6.2, 15.2). LIMITATIONS: The study was a non-probability sample survey. Besides, scales used in this study can only identify mental health states. CONCLUSIONS: Under outbreak of COVID-19, self-reported rates of anxiety symptoms and depression symptoms were high in investigated medical staff. Psychological interventions for those at high risk with common mental problems should be integrated into the work plan to fight against the epidemic.