Literature DB >> 35851024

Factors associated with poor mental health outcomes in nurses in COVID-19-designated hospitals in the postepidemic period in Guangdong Province: a cross-sectional study.

Min-Rou Zhang1,2, Hui-Gen Huang3,2,4, Han-Xi Chen1, Ya-Fang Deng4.   

Abstract

OBJECTIVE: The early days of the COVID-19 pandemic placed enormous pressure and subsequent negative psychological problems on nurses, but at this stage of the year-long COVID-19 outbreak, the level of stress and negative emotions that nurses experience is unclear. Our study attempted to assess the factors influencing mental health status in nurses during the postepidemic period of COVID-19.
DESIGN: Cross-sectional study.
SETTING: COVID-19 designated hospitals. PARTICIPANTS: 1284 Chinese nurses. MAIN OUTCOME MEASURES: Electronic questionnaires, including the Chinese version of the Perceived Stress Scale (CPSS) and Symptom Checklist-90 (SCL-90), were distributed for self-evaluation. Regression analysis was used to analyse the associated factors of psychological stress among variables such as age, years of nursing experience, weekly working hours, anxiety symptoms, somatisation symptoms and compulsive symptoms.
RESULTS: A total of 1284 respondents from COVID-19-designated hospitals in Guangdong Province were studied. The average CPSS score for all respondents was 22.91±7.12. A total of 38.5% of respondents scored ≥26 on the CPSS, indicating a significant degree of psychological stress. Nurses with high psychological stress had higher levels of anxiety symptoms (41.7% vs 8.0%), somatisation symptoms (31.4% vs 7.7%) and compulsion symptoms (62.3% vs 27.0%) than nurses with low psychological stress. Stepwise multiple linear regression revealed that weekly working hours, years of nursing experience, anxiety symptoms, somatisation symptoms and compulsion symptoms had a linear relationship with the participants' psychological stress scores.
CONCLUSION: Nurses experienced significant physical and psychological risk while working in the postepidemic period. Our findings suggest that nurses still need support to protect their physical and mental health. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  COVID-19; epidemiology; health & safety; mental health

Mesh:

Year:  2022        PMID: 35851024      PMCID: PMC9297002          DOI: 10.1136/bmjopen-2022-061116

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   3.006


One of the largest samples of nurses conducted so far in China in COVID-19-designated hospitals in the postepidemic period. The following tools used were used alongside the collection of demographic information: The Chinese version of the Perceived Stress Scale and Symptom Checklist−90 (SCL-90). Convenience sample that may have missed participants not using social media. The study used self-reported questionnaires; therefore, data obtained were participants’ subjective perceptions. It is not clear whether the observed mental health outcomes have irreversible adverse physical and mental effects on nurses.

Introduction

The COVID-19 epidemic has not only caused a big impact on economic and social development but also brought great trauma to the whole society’s mentality. After strenuous efforts, China’s epidemic prevention and control situation is now developing positively and has entered a ‘postepidemic period’ that integrates epidemic prevention and control with socioeconomic development.1 2 The postepidemic period refers to the stage when the COVID-19 epidemic is effectively controlled, the epidemic prevention and control has changed from a surprise to a normal one, and the economic development of the entire society and people’s daily life are gradually returning to a normal state.3 As of 1 February 2021, 101 039 confirmed cases, 93 726 discharged patients and 4826 deaths have been reported in China. There was one suspected case. A total of 967 415 close contacts were tracked, and 37 319 close contacts were still in medical observation.4 According to the WHO, by 28 February 2020, more than 100 million people had been infected, and more than 2 million had died.5 Due to the disease’s highly contagious nature, the Chinese government set up designated hospitals to treat patients with symptoms of COVID-19 or those who had already been diagnosed, among which 30 hospitals in Guangdong Province have been designated as designated hospitals for COVID-19 treatment.6 Depending on the nature of their work, nurses tend to work in close and long-term contact with patients.7 This situation may lead to psychological problems for nurses in designated hospitals. Because the virus is transmitted mainly through respiratory droplets or by contact,8 close environments, such as large gatherings and crowded places, can lead to clustered infections.9 In the early days of the COVID-19 outbreak, nurses risked their lives to contact patients everyday. They were at high risk of infection, had a heavy workload and suffer from psychological stress, anxiety and other negative psychological distress,10 11 the mental health of nurses during the COVID-19 epidemic deserve more attention. As a result, during this period, numerous reports described physical and psychological morbidity associated with COVID-19.12–15 The experience of SARS and Middle East Respiratory Syndrome suggests that many healthcare workers (HCWs) remain mentally ill long after an outbreak is over, and that nurses suffer more than doctors.16 17 Therefore, we can expect considerable collective mental health issues, such as stress, anxiety and fear, over the duration of the COVID-19 pandemic. At present, although the COVID-19 epidemic has been well controlled in China, the virus has not been completely eliminated. New infections occur from time to time, which will inevitably impact nurses. It has been suggested that psychological fear is more dreadful than the disease itself.18 However, nurses’ mental health has been rarely documented over the course of the pandemic with a few exceptions. In the current pandemic, although the spread of COVID-19 has been effectively contained in China, nurses who worked in designated hospitals have been under high pressure to deliver care in highly stressful environments.19 For example, hospital administrators may restrict the movement of nurses once a patient with COVID-19 is found in one place, and nurses often need to travel to different areas to support nucleic acid collection. In addition, nurses working in COVID-19-designated hospitals (like many other HCWs) are vulnerable to the risk of infection and unknowingly putting family members and friends at higher risk. Fear of infection may result in reluctance to seek help from family members or friends and may reduce nurses’ ability to show compassion in the workplace,20 to the detriment of the nursing profession in the long term. Thus, our study examined nurses’ mental health status and its influencing factors during a period of COVID-19 containment and normalisation.

Methods

Design and setting

In this study, we recruited nurses from designated hospitals in Guangdong Province through the nursing branch of Guangdong Health Economics Association. We conducted a cross-sectional study between 23 January and 31 January 2021 using snowball and convenience sampling of nurses. This survey used Ranxing Technology ‘SurveyStar’ (www.wjx.cn), and QR scan codes to access the questionnaire were posted on WeChat to collect information from participants. At this questionnaire star link, nurses received guidance on how to complete and answer the questions. Before entering the questionnaire, there is an informed consent form to be filled in. Choose ‘yes’, continue to complete the questionnaire. Choose ‘no’, then you will not enter the filling in the questionnaire. Participants accessed this survey using the questionnaire star link or QR scan code over a period of 9 days.

Participants

The sample size was estimated based on WHO recommendations on the minimum sample size required for epidemiological studies.21 22 The CI was 95%, the SD was 0.5, the margin of error was 0.5. Finally, with addition of a 10% contingency for non-response, the minimum sample size was 423. Guangdong Province has 30 provincial-level designated hospitals.6 All nurses who were at least 18 years of age and worked in COVID-19-designated hospitals in Guangdong Province were eligible for participation and 1345 nurses returned the questionnaire. IP addresses and other personal information were protected for privacy reasons. Respondents who failed to provide informed consent or took more than 60 min to complete the questionnaire were excluded from further consideration, resulting in a total of 1284 valid responses.

Instrumentation

After literature research and discussion by the research team, we believe that gender, age, marital status, years of nursing experience, technical title, weekly working hours and COVID-19 vaccination status may have an impact on the psychological status of nurses in the postepidemic period. Therefore, we selected these contents as the social demographic data of nurses. The two instruments used in this study were the Chinese version of the Perceived Stress Scale (CPSS) and the Symptom Checklist 90 (SCL-90). The Perceived Stress Scale (PSS), also known as the Cohen PSS, is the most widely used psychological instrument for measuring the perception of stress.23 In 2003, Yang et al24 translated the PSS into Chinese, and the Cronbach’s alpha coefficient was 0.78 after adjustment. Referring to Hewitt25, we divided the Chinese version of the PSS into two dimensions of ‘perceived distress’ and ‘perceived coping ability’ and conducted reliability and validity tests on nurses. The Cronbach’s alpha coefficients of the total scale and the two dimensions were 0.837, 0.816 and 0.901, respectively. Scores on the CPSS range from 0 to 56, and the higher the score, the greater the psychological stress. The health risk stress standard for Chinese was 26.24 Therefore, we defined a CPSS score higher than 26 as high psychological stress. The SCL-90 is a psychosomatic screening scale proposed by Derogatis et al26 and is widely used in China and elsewhere. In 1986, Chinese scholars applied the SCL-90 to the adult population and obtained the norm of each factor of the SCL-90. In 2017, a meta-analysis obtained the norm of the nurse population.27 The SCL-90 is composed of 90 questions, and each item has five answer choices using five levels (between 1 and 5, none=1, too much=5). The symptom of interest was considered when the factor score was ≥2. In this survey, we chose the anxiety, somatisation and compulsion subscale scores for analysis. The Cronbach’s alpha coefficients of the anxiety, somatisation and compulsion subscales were 0.921, 0.908 and 0.908, respectively.

Statistical analysis

Data were entered into EXCEL and SPSS Statistics for Window, V.23.0 was used for statistical analysis. The counting data were described by frequency and composition ratios, and the measurement data were expressed as X±s. We divided anxiety, somatisation and compulsion factor scores that were ≥2 into one group and <2 into the other group. Psychological stress score ≥26 and <26 were divided into two groups. Independent sample t test was used to compare the two groups and the Χ2 was used for univariate analysis. Stepwise multiple linear regression analysis was used to evaluate the factors associated with psychological stress. The standard of significance was p<0.05.

Patient and public involvement

No patient involved.

Results

There was a total of 1345 respondents from COVID-19-designated hospitals in Guangdong Province. We excluded respondents who disagreed with the survey (n=22) and took too long to complete the questionnaire (n=39), resulting in a final analytic sample of 1284 respondents, yielding a 95.5% response rate. The questionnaire completion time was 476.03±322.93 s. Respondents were primarily women (95.7%), over the age of 30 (57.0%), married (70.2%) and had more than 10 years of work experience as a nurse (48%). Table 1 lists the psychological stress scores of nurses in COVID-19 desginated hospitals with different demographic characterstics.
Table 1

Psychological stress scores of nurses in COVID-19-designated hospitals with different demographic characteristics (N=1284)

VariablesN (%)Psychological stress scoresx¯ ± s95% CI
LowerboundUpperbound
GenderMale55 (4.3%)23.25±6.6621.4525.06
Female1229 (95.7%)22.89±7.1422.4923.29
Age(year)≤25193 (15.0%)23.87±6.7522.9124.83
26–30359 (28.0%)23.47±7.2122.7224.22
31–35315 (24.5%)22.82±6.8722.0623.58
36–40188 (14.7%)22.53±7.1321.5023.55
≥41229 (17.8%)21.66±7.4520.6922.63
Marital statusMarried902 (70.2%)22.51±7.2422.0422.99
Unmarried371 (28.9%)23.86±6.6823.1824.55
Others11 (0.9%)23.36±8.3217.7728.95
Years of nursing experience(year)≤5344 (26.8%)23.49±6.7222.7724.20
6–10324 (25.2%)23.58±7.2722.7924.38
11–15258 (20.1%)22.17±7.2822.1723.95
16–20153 (11.9%)21.64±6.6420.5822.70
≥21205 (16.0%)21.64±7.4220.6222.67
Technical titleNurses348 (27.1%)23.72±6.6823.0124.41
Nurse practitioners570 (44.4%)22.97±7.3422.3723.58
Nurse supervisor312 (24.3%)22.33±7.1821.5323.13
Associate senior and above54 (4.2%)20.41±6.3818.6722.15
Weekly working hours<3551 (4.0%)22.65±8.2720.3224.97
35–40549 (42.7%)22.02±6.7821.4522.59
>40684 (53.3%)23.64±7.2123.1024.19
Vaccination with COVID-19Yes317 (24.7%)22.88±6.7222.1423.63
No967 (75.3%)22.92±7.2522.4623.38
Anxiety symptomsYes (≥2)269 (21.0%)29.06±5.7328.3729.75
No (<2)1015 (79.0%)21.28±6.5320.8821.68
Somatisation symptomsYes (≥2)216 (16.8%)28.69±6.3027.8429.54
No (<2)1068 (83.2%)21.74±6.6921.3422.14
Compulsion symptomsYes (≥2)521 (40.6%)26.79±6.0526.2727.31
No (<2)763 (59.4%)20.26±6.5619.8020.73
Psychological stress scores of nurses in COVID-19-designated hospitals with different demographic characteristics (N=1284) The mean score of psychological stress measured by the CPSS was 22.91±7.12. In our study, 38.5% of respondents reported high psychological stress (n=494), and 61.5% of respondents reported low psychological stress (n=790). Table 2 lists the scoring of the psychological stress.
Table 2

Scoring of the psychological stress (N=1284)

VariablesN (%)x¯ ± s95% CI
LowerboundUpperbound
Psychological stress1284 (100%)22.91±7.1222.5223.30
High (≥26)494 (38.5%)29.76±3.8429.4230.10
Low (<26)790 (61.5%)18.63±5.0418.2818.98
Perceived distress1284 (100%)11.60±4.3211.3611.83
Perceived coping1284 (100%)11.31±4.9811.0411.59
Scoring of the psychological stress (N=1284) We divided the respondents into two groups: (1) one group is those with psychological stress scores ≥26 and (2) another group is those with psychological stress scores <26. First, we compared the scores of each dimension between the two groups, as shown in table 3. We then conducted univariate analysis. The results showed that there was no significant difference in psychological stress by gender or COVID-19 vaccination status (p>0.05). The results revealed a significant difference in age (x2=14.912, p=0.170), marital status (x2=7.648, p=0.022), years of work experience as a nurse (x2=18.360, p=0.001), technical title (x2=15.659, p=0.001), weekly working hours (x2=16.675, p<0.001), anxiety symptoms (x2=208.748, p<0.001), somatisation symptoms (x2=121.546, p<0.001) and compulsion symptoms (x2=157.842, p<0.001). In addition, people who worked more than 40 hours a week reported higher levels of psychological stress than those who worked 35–40 hours a week (p<0.001). Table 4 summarises the results.
Table 3

A comparison of scores across different dimensions between the two groups (N=1284)

VariablesPsychological stress scores≥26x¯ ± sPsychological stress scores<26x¯ ± s t P value95% CI
Lower boundUpper bound
Psychological stress29.76±3.8418.63±5.0442.0190.000*10.61011 649
Perceived distress14.29±4.419.91±3.2819.0170.000*3.9294.833
Perceived coping15.47±3.898.72±3.6531.4400.000*6.3277.169

*P<0.05.

Table 4

Univariate analyses of the factors associated with psychological stress (N=1284)

VariablesPsychological stress scores≥26(n=494)Psychological stress scores<26(n=790)Χ2P value
GenderMale26 (5.3%)29 (3.7%)1.8790.170
Female468 (94.7%)761 (96.3%)
Age(year)≤2590 (18.2%)103 (13.0%)14.912.005*
26–30148 (30.0%)211 (26.7%)
31–35123 (24.9%)192 (24.3%)
36–4064 (12.9%)124 (15.7%)
≥4169 (14.0%)160 (20.3%)
Marital statusMarried325 (65.8%)577 (73.0%)7.648.022*
Single164 (33.2%)207 (26.2%)
Others5 (1.0%)6(.8%)
Years of nursing experience (year)≤5145 (29.4%)199 (25.2%)18.360.001*
6–10141 (28.5%)183 (23.2%)
11–15103 (20.9%)155 (19.6%)
16–2044 (8.9%)109 (13.8%)
≥2161 (12.3%)144 (18.2%)
Technical titleNurses151 (30.6%)197 (24.9%)15.659.001*
Nurse practitioners229 (46.3%)341 (43.2%)
Nurse supervisor103 (20.9%)209 (26.5%)
Associate senior and above11 (2.2%)43 (5.4%)
Weekly working hours<3522 (4.5%)29 (3.7%)16.675.000*
35–40176 (35.6%)373 (47.2%)
>40296 (59.9%)388 (49.1%)
Vaccination with COVID-19Yes121 (24.5%)196 (24.8%)0.0160.898
No373 (75.5%)594 (75.2%)
Anxiety symptomsYes (≥2)206 (41.7%)63 (8.0%)208.748.000*
No (<2)288 (58.3%)727 (92.0%)
Somatisation symptomsYes (≥2)155 (31.4%)61 (7.7%)121.546.000*
No (<2)339 (68.6%)729 (92.3%)
Compulsion symptomsYes (≥2)308 (62.3%)213 (27.0%)157.842.000*
No (<2)186 (27.7%)577 (73.0%)

*P<0.05.

A comparison of scores across different dimensions between the two groups (N=1284) *P<0.05. Univariate analyses of the factors associated with psychological stress (N=1284) *P<0.05. We defined the total psychological stress scores as the dependent variable, and the significant variables from the univariate analysis in table 4 as the independent variables. Our analysis showed that having less than 15 years of nursing service (β=−0.100, p<0.001), working more than 40 hours a week (β=0.087, p<0.001), anxiety symptoms (β=0.235, p<0.001), somatisation symptoms (β=0.095, p=0.002) and compulsion symptoms (β=0.266, p<0.001) were identified as risk factors for psychological stress (table 5).
Table 5

Multivariate linear regression analysis of psychological stress (N=1284)

Variables B SE βP value95% CI
LowerboundUpperbound
Compulsion symptoms3.8590.4280.2660.0003.0194.699
Anxiety symptoms4.1020.5740.2350.0002.9755.229
Years of nursing experience−0.5090.122−0.1000.000−0.748−0.270
Weekly working hours1.0750.2950.0870.0000.4961.653
Somatisation symptoms1.8120.5970.0950.0020.6402.983

R=0.278, adjusted R=0.275, F=98.510, p<0.001.

Multivariate linear regression analysis of psychological stress (N=1284) R=0.278, adjusted R=0.275, F=98.510, p<0.001.

Discussion

In the study, we found some mental health problems among nurses during the normalisation of COVID-19 prevention and control. First, although the whole sample showed that nurses were experiencing relatively normal levels of psychological stress, 38.5% of nurses had a high level of stress, which is a significant portion that cannot be ignored. Second, the ability to perceive stress in the high psychological stress group was higher than that in the low psychological stress group, and this difference was statistically significant. Third, in the study, 21% of nurses reported anxiety, 16.8% of nurses reported somatisation and 40.6% reported obsessive-compulsive symptoms. Finally, the results of this study also indicate that anxiety, somatisation, and obsessive-compulsive symptoms can aggravate nurses’ psychological stress. Our study revealed that the median level of psychological stress among nurses was 23. Other studies found higher levels of psychological stress among students and other health workers in the early stages of the COVID-19 outbreak.28 29 We found that 98.5% of nurses were taught about infectious diseases. Psychological effects of COVID-19 were more common among HCWs without medical training than among those with medical training.30 Over time, adaptive responses to stress and the positive effects of infection control training may be protective.31 Scholars investigated the psychological status of HCWs during SARS and found that 39.3% of the general population had elevated psychological stress levels,32 while approximately 38.5% of the nurses in our study showed high psychological stress. This reduction may be related to experience in the fight against COVID-19 today and the timely and effective response to the epidemic, and its prevention and control in Guangdong.33 It could also be that the COVID-19 epidemic in Guangdong province was relatively stable during the study survey period. Our study identified weekly working hours, and symptoms of anxiety, somatisation and compulsiveness as potential risk factors for psychological stress in nurses, whereas years of nursing experience was protective against the development of psychological stress. Nurses who worked more than 40 hours a week reported significantly higher levels of psychological stress than those who worked less than 40 hours a week. This result may be related to extended work hours, leading to nursing errors, such as patient identification errors, communication errors and patient complaints.34 At the same time, longer work hours may result in more severe conflicts between work-life balance for female workers.35 In the postepidemic period, when there are sporadic cases of COVID-19 infection, the longer the working hours, the higher the probability of nurses in designated hospitals being exposed to patients, the higher probability of being infected with the virus and the greater their psychological stress. Years of nursing experience being a protective factor may be attributed to greater capabilities to cope with emergencies and improved psychological quality. A certain level of psychological stress can lead to psychological disorders, such as anxiety and somatisation symptoms. Conversely, anxiety and somatisation symptoms can also cause psychological stress to rise.36 In the high psychological stress group, we found that 41.7% and 31.4% of nurses suffered from anxiety and somatisation, respectively. Huang et al37 reported that the percentages of anxiety and somatisation were 33.02% and 7.59%, respectively, in the Chinese population, which are lower than that of the nurses in our study. This result may be attributed to the fact that nurses are more likely to be exposed to COVID-19 than those in the general population. However, Li et al38 reported that the frequencies of symptoms of anxiety and somatisation symptoms were 45.4% and 12.0%, respectively. In our survey, 26.1% of nurses received psychological counselling, which may have led to a slight decrease in anxiety symptoms. However, spending increasingly more time working in high-pressure environment may cause nurses to develop headaches and other somatic symptoms. Compulsive symptoms were reported in 62.3% of nurses, which contrasts with an online survey of 927 Chinese medical workers conducted between 19 February and 6 March 2020, which showed a prevalence of compulsive symptoms of only 5.3%.15 The reason for this large discrepancy may be that 85.1% of the latter medical staff were not at risk of exposure to patients with COVID-19 in the hospital. Our findings have important clinical implications for alleviating high levels of psychological stress in nurses. Reasonable work schedules and proper education on infection control can relieve nurses experiencing high psychological stress. Therefore, in the postepidemic period, hospital managers can strengthen nurses’ safety training including found COVID-19 patients with emergency drills and the right to wear protective clothing and wear goggles, the rational allocation of human resources, reduce the work intensity of nurses and other ways to reduce the occurrence of adverse psychological outcomes for nurses.

Limitations

We acknowledge that our study has some limitations. First, although we had a large sample size and attempted to capture all nurses working at designated hospitals, male nurse population in designated hospitals in Guangdong Province were underrepresented, and we did not take into account that nurses have different specialties in different departments. Second, self-report questionnaires were used in this study, and the data obtained were participants’ perceptions, which are highly subjective. Third, this study can only highlight the status quo of psychological stress, anxiety, compulsion and somatisation of nurses during the investigation period and cannot determine whether there are irreversible adverse physical and mental effects on nurses. Finally, the study was conducted online using convenience sampling, which may have missed some participants. Despite the above limitations, our study provided valuable information on the psychological impact of the COVID-19 pandemic on nurses in China. People’s mental conditions will change with time and the environment, as will their psychological stress. Therefore, coping strategies across periods may differ, and the effectiveness of these strategies needs further study. Further research will need to expand our findings with additional surveys in other provinces in China.

Conclusion

This survey found that 38.5% of nurses still suffered high psychological stress, and there was a significant association between anxiety symptoms, somatisation symptoms, compulsion symptoms, with psychological stress. Considering the current situation, we suggest using an online platform to provide psychological support for nurses. For nurses with severe psychiatric symptoms or even somatic symptoms, we recommend individualised psychological support and interventions after ruling out infection. The COVID-19 pandemic is a public health challenge that puts health systems in a highly vulnerable position.28 Nurses are an important part of the healthcare system. Therefore, we must ensure the physical and mental health of nurses to help them meet the future challenges in their future careers.
  25 in total

1.  Psychological effects of the SARS outbreak in Hong Kong on high-risk health care workers.

Authors:  Siew E Chua; Vinci Cheung; Charlton Cheung; Grainne M McAlonan; Josephine W S Wong; Erik P T Cheung; Marco T Y Chan; Michael M C Wong; Siu W Tang; Khai M Choy; Meng K Wong; Chung M Chu; Kenneth W T Tsang
Journal:  Can J Psychiatry       Date:  2004-06       Impact factor: 4.356

2.  Psychiatric morbidity among emergency department doctors and nurses after the SARS outbreak.

Authors:  K Y Tham; Y H Tan; O H Loh; W L Tan; M K Ong; H K Tang
Journal:  Ann Acad Med Singap       Date:  2004-09       Impact factor: 2.473

Review 3.  Executive Leadership and Physician Well-being: Nine Organizational Strategies to Promote Engagement and Reduce Burnout.

Authors:  Tait D Shanafelt; John H Noseworthy
Journal:  Mayo Clin Proc       Date:  2016-11-18       Impact factor: 7.616

4.  Study on the public psychological states and its related factors during the outbreak of coronavirus disease 2019 (COVID-19) in some regions of China.

Authors:  Yenan Wang; Yu Di; Junjie Ye; Wenbin Wei
Journal:  Psychol Health Med       Date:  2020-03-30       Impact factor: 2.423

Review 5.  PTSD symptoms in healthcare workers facing the three coronavirus outbreaks: What can we expect after the COVID-19 pandemic.

Authors:  Claudia Carmassi; Claudia Foghi; Valerio Dell'Oste; Annalisa Cordone; Carlo Antonio Bertelloni; Eric Bui; Liliana Dell'Osso
Journal:  Psychiatry Res       Date:  2020-07-20       Impact factor: 3.222

6.  Mental Health and Psychosocial Problems of Medical Health Workers during the COVID-19 Epidemic in China.

Authors:  Wen-Rui Zhang; Kun Wang; Lu Yin; Wen-Feng Zhao; Qing Xue; Mao Peng; Bao-Quan Min; Qing Tian; Hai-Xia Leng; Jia-Lin Du; Hong Chang; Yuan Yang; Wei Li; Fang-Fang Shangguan; Tian-Yi Yan; Hui-Qing Dong; Ying Han; Yu-Ping Wang; Fiammetta Cosci; Hong-Xing Wang
Journal:  Psychother Psychosom       Date:  2020-04-09       Impact factor: 17.659

7.  Exploring Perceived Stress among Students in Turkey during the COVID-19 Pandemic.

Authors:  Imran Aslan; Dominika Ochnik; Orhan Çınar
Journal:  Int J Environ Res Public Health       Date:  2020-12-02       Impact factor: 3.390

8.  The Relationship Between Symptoms of Anxiety and Somatic Symptoms in Health Professionals During the Coronavirus Disease 2019 Pandemic.

Authors:  Hehua Li; Yaping Zhang; Honggang Wang; Jing Liang; Yongjie Zhou; Yuanyuan Huang; Tianyi Zhai; Qiong Yang; Mingzhe Yang; Yuping Ning; Hongbo He; Kai Wu; Fengjuan Chen; Fengchun Wu; Xiangyang Zhang
Journal:  Neuropsychiatr Dis Treat       Date:  2020-12-18       Impact factor: 2.570

9.  A multinational, multicentre study on the psychological outcomes and associated physical symptoms amongst healthcare workers during COVID-19 outbreak.

Authors:  Nicholas W S Chew; Grace K H Lee; Benjamin Y Q Tan; Mingxue Jing; Yihui Goh; Nicholas J H Ngiam; Leonard L L Yeo; Aftab Ahmad; Faheem Ahmed Khan; Ganesh Napolean Shanmugam; Arvind K Sharma; R N Komalkumar; P V Meenakshi; Kenam Shah; Bhargesh Patel; Bernard P L Chan; Sibi Sunny; Bharatendu Chandra; Jonathan J Y Ong; Prakash R Paliwal; Lily Y H Wong; Renarebecca Sagayanathan; Jin Tao Chen; Alison Ying Ying Ng; Hock Luen Teoh; Georgios Tsivgoulis; Cyrus S Ho; Roger C Ho; Vijay K Sharma
Journal:  Brain Behav Immun       Date:  2020-04-21       Impact factor: 7.217

10.  Factors associated with mental health outcomes across healthcare settings in Oman during COVID-19: frontline versus non-frontline healthcare workers.

Authors:  Muna Alshekaili; Walid Hassan; Nazik Al Said; Fatima Al Sulaimani; Sathish Kumar Jayapal; Adhra Al-Mawali; Moon Fai Chan; Sangeetha Mahadevan; Samir Al-Adawi
Journal:  BMJ Open       Date:  2020-10-10       Impact factor: 2.692

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