The Relationship between Occupational Stress and Depression in Emergency Medical Technicians: Post-Corona Consideration

Document Type : Original Quantitative and Qualitative Research Paper

Authors

1 Department of Nursing, Maragheh Branch, Islamic Azad University, Maragheh, Iran

2 MSc in Psychiatric Nursing, Department of Nursing, Tehran Azad Medical University, Tehran, Iran

3 MSc in Nursing, Department of Nursing, Sarab Imam Khomeini hospital, Tabriz university of Medical Sciences, Tabriz, Iran

4 Research Development Center, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran

5 Trauma Nursing Research Center, Kashan University of Medical Sciences, Kashan, Iran

6 Department of Psychiatric Nursing, School of Nursing and Midwifery, Zanjan University of Medical Sciences, Iran

7 Medical Educationist, Department of Emergency & Critical Care, School of Nursing, Zanjan University of Medical Sciences, Zanjan, Iran

Abstract

Background: The COVID-19 pandemic caused depression by creating constant occupational stress. Depression can be one of the most important complications after corona.
Aim: The present study was performed with aim to investigate the relationship between occupational stress and depression in emergency medical technicians (EMTs) when facing the patients with suspected COVID-19 after corona peak.
Method: This cross-sectional correlational study was conducted with the participation of 205 EMTs at Zanjan University of Medical Sciences, Zanjan, Iran, 2022. Sampling was done using convenience methods. Data collection tools included a demographic information form, Goldberg depression scale, and House and Rizzo's Work Stress Scale.
Results: The mean of occupational stress and depression were 45.80±6.480 (Range 15-75) and 34.92±19.21 (Range 0-90), respectively. Occupational stress has a positive and significant relationship with depression (r=0.189, p=0.009). Also, Logistic regression showed the level of education (OR=0.577, p=0.029) and employment status (OR=0.647, p=0.050) were identified as protective of occupational stress and the number of children (OR=0.433, p=0.021) identified as a protective factor of depression in EMTs when facing patients with suspected COVID-19.
Implications for Practice: This study showed that occupational stress is related to increased depression in EMTs. In addition, some demographic factors protect these disorders. Therefore, it is suggested to pay more attention to psychological symptoms and influencing factors in EMTs post-COVID-19 era. Also, psychological recovery skills should be improved in continuing professional development policy.

Keywords

Main Subjects


Introduction

COVID-19 is a public health emergency and an international issue  rapidly affected many countries (1,2). Due to the rapid spread of Covid-19 and the physical impact and high lethality of the disease, it poses a threat to human life and public health. In addition, this disease can have varying degrees of impact on the mental health of the population and in the long term lead to mental disorders (3). For instance, the SARS disease, an epidemic disease that occurred in China many years ago, led to many psychological effects (3,4). Therefore, it is predicted that the spread of Covid-19 will also cause psychological reactions like tension, anxiety, and fear, which eventually lead to psychological disorders such as stress, depression, and suicide (3). Meanwhile, the medical staff is in direct contact with this disease. So far, thousands of medical workers have died from this disease, and many are also suffering from its complications (5). In addition to the risk of contracting the disease, the medical staff faces great mental pressure regarding transmitting this disease to their relatives. This was also evident in the outbreak of SARS and Ebola (6,7). The tension and fear of losing one's life or those around you, or even blaming oneself for the loss of relatives, causes a lot of mental-psychological challenges in the personnel, especially the emergency medical technicians (EMTs) (8).

EMTs, at the frontline of the fight against Covid-19, are more vulnerable to the disease because they are in close contact with the disease and can spread it among colleagues and family members (3). EMTs are the first people in the chain to deal with COVID-19 when the condition of having corona is not yet known for a person, and one can suspect COVID-19 only from the patient's outward symptoms (9). The  insecurity itself created occupational stress for these employees since the beginning of the Corona outbreak (10,11). Occupational stress occurs when the expectations of a person are more than the scope of its options and abilities. Continuous occupational stress can cause physical diseases (asthma, blood pressure, and heart diseases) and reduce the quality of life (12). Long-term occupational stress causes mental illnesses such as depression (13). Depression has multiple internal and external causes, and demographic characteristic might play an important role in terms of internal factors reasons (14). Occupational stress and depression can affect the professional performance of healthcare providers. Therefore, ignoring these mental disorders can  harm to patients, increase costs and affect the personal lives of healthcare workers (12,15).

Recent studies have explicitly addressed the lack of knowledge about the psychological complications caused by COVID-19 and the need to investigate these complications. They have also made a point of screening medical staff for post-corona mental health disorders (16-18). Considering the mentioned consequences, it is very important to identify personnel at risk for occupational stress and depression, especially EMTs. In this regard, Magnavita reported that the prevalence of depression in anesthesia personnel working during the Covid era was 51% (19).  Micali et al. (2022) also reported that 27% of the healthcare workers have a high level of occupational stress and 62% of them had an average level of occupational stress with little control and emotional exhaustion (20). Moreover, Zhang et al. (2020) reported very high occupational stress and depression in the medical staff who worked during the Covid era; they recommended screening personnel for these disorders (21). The studies carried out during the Covid-19 pandemic, after Corona and the peaks of the pandemic were not specifically discussed. The long-term effects of occupational stress have also not been investigated in the literature (20-24). In view of the lack of research on the relationship between occupational stress and post-corona depression, it is needed to perform more studies in this area. Nishihara et al. (2022) introduced a knowledge gap in mental disorders examination after the coronavirus peak (22). Due to the need to assess post-coronavirus occupational disorders and the lack of studies in this area, as well as to identify the number of EMTs at risk of occupational stress and explore its relationship with depression, therefore, the present study was conducted with aim to investigate the relationship between occupational stress and depression in EMTs when facing patients with suspected COVID-19 after corona peak.

 

Methods

This cross-sectional correlational study was conducted in the Emergency Medical Services of Zanjan University of Medical Sciences from April to July 2022. This period was after the sixth peak of Corona in Iran. The studied population included EMTs working in the urban and road pre-hospital emergency centers of Zanjan University of Medical Sciences, and sampling was done using convenience methods.  The sample size was calculated as 200 people with a  confidence level of 95%, α=0.05, β=0.80, and r=0.193 based on the stucy by Lee et al. (25).  To prevent attrition  rate, 40% was added to the sample size. Thus, 256 pre-hospital samples were invited to the study, but 35 samples did not accept the invitation and 16 submitted incomplete questionnaires. Finally, 205 questionnaires were examined (response rate was 80%). The inclusion criteria were: working for at least one month during the outbreak of covid-19 (26) and having at least 5 occupational exposures to a suspected coronavirus patient (one who has at least two of the five symptoms of the coronavirus, including dyspnea, fever, cough, sputum, and decreased arterial blood saturation) (9). The exclusion criteria were an unfortunate event threatening the health of the personnel, history of psychological disorders, use of psychiatric drugs, and unwillingness to continue the study.

The tools used in the current study included the demographic information form, Goldberg depression scale and House and Rizzo's Work Stress Scale.

The demographic information form: It consisted of the research participants' characteristics including age, gender, education, marital status, number of children, employment status, work experience, and smoking.

Goldberg depression scale: Quoted from Magnavita, this scale was first designed by Ivan K. Goldberg (1972) and its different versions were updated over time (27). The main form of this scale has 18 questions with scores ranging from 0 to 90. Each of the statements of this questionnaire is scored on a 5-point Likert scale from very high (5), high (4), moderate (3), low (2), very low (1) and not at all (0). A higher score indicates more depression. This instrument classifies the total depression score into six levels: healthy (0-9), possibility of depression (10-17), borderline depression (18-21), mild-to-moderate depression (22-35), moderate-to-severe depression (36-53) and major depression (≥54). When the sum of the scores exceeds 21, mental health specialists should be consulted for a more detailed examination andthe level of treatment required should be determined. The face and content validity of this questionnaire was confirmed by Amini and et al., and Cronbach's alpha of 0.84 was reported to confirm its reliability (28). The Cronbach alpha coefficient of the reliability test in the present study was 0.966.

House and Rizzo's Work Stress Scale: This questionnaire was designed by Rizzo and House (1970) and has been used for years; it is one of the most reliable and common occupational stress questionnaires (29). The main form of this questionary has 15 questions with the scores raging from 15 to 75. Questions 1 to 3 and 12 to 13 are graded on a 5-point Likert scale from always (5) to never (1). But the questions 4 to 11, as well as questions 14 and 15, are reversely scored. A higher score indicates more occupational  stress. This instrument classifies the total occupational stress score into three levels: low (15-30), normal (31-45) and High (46-75). The validity and reliability of this questionary were approved in the study by Rasouli et al., and the Cronbach's alpha coefficient of the questionnaire was mentioned as 0.79 (30). In the present study, this questionnaire was approved by 10 members of the academic staff of Zanjan and Qom University of Medical Sciences in terms of content and face validity. In terms of reliability, Cronbach's alpha was calculated as 0.81.

This research was carried out after being approved by the Vice-Chancellor of Research and Technology of Zanjan University of Medical Sciences and with permission from the Ethics Committee. The ethical standards of the Institutional and National Research Committee and the 1964 Declaration of Helsinki were observed in this study. Also, the informed written consent was obtained from all personnel. Before completing the questionnaire, necessary explanations were given regarding the confidentiality of information and non-disclosure of personal information. Two researchers referred to the emergency centers and invited EMTs to participate in the study. In case of accepting to participate in the study, a printed questionnaire was provided to them. Due to job quarantine and the possibility of doing missions while completing the questionnaire, it was tried to distribute the questionnaires by coordinating and setting the time in advance. Also, during the mission, the researcher kept the questionnaires, and after the personnel returned from the mission, she would give them to complete.

The collected data were analyzed with SPSS software (version 21). The Kolmogorov Smirnov and Shapiro-Wilk tests were applied to check the normality of data that was non-mormal, therefore, nonparametric tests were used for analysis. Considering the limitations of using software with SEM-CB capabilities, such as SmartPLS and WarpPLS, we used Spearman's correlation test to investigate the relationship between occupational stress and depression, which was appropriate for the purpose of the research (31). Also, Logistic Regression test was used to check predictor variables. p<0.05 was considered statistically significant.

 

Results

A total of 193 male (91.40%) and 12 female (5.90%) with mean age of 34.90±7.87 years participated in this study (Table 1). The mean of total score of occupational stress was 45.80±6.48 (15-75), and nine (4.39%), 88 (42.92%), and 108 (52.69%) of ETMs suffered from low, normal, and high levels of occupational stress, respectively. The mean of total score of depression was 34.92 ± 19.21 (0-90) in the range of 5-90. Moreover, 23 (11.20%) of ETMs were healthy, and 20 (9.80%), 10 (4.90%), 43 (21%), 71 (034.6%), and 38 (018.5%) classified in the levels of possibility of depression, borderline depression, mild-to-moderate depression, moderate-to-severe depression, and major depression, respectively.

 

Table 1.  The factors related to occupational stress and depression in EMTs

Factors

N(%)

Occupational Stress

Depression

Mean±SD

Test results

Mean±SD

Test results

Gender

   Male

   Female

 

193(94.10)

 

35.13±19.37

 

p=0.841*

z=-0.190

 

45.82±6.42

 

p=0.512

z=-0.650

12(5.90)

31.64±18.06

45.61±7.96

Number of children

   0

   1

   2

   3

   ≥4

 

101(52.70)

 

46.65±6.07

p=0.501**

z=2.321

 

37.24±20.14

p=0.031

 

z=14.220

37(21)

45.83±6.33

39.02±19.19

36(18)

45.82±7.08

36.27±15.46

16(7.80)

44.09±8.36

20.0±14.50

1(0.50)

46.10±6.50

35.86±19.23

Marital status

   Single

   Married

 

63(30.70)

 

45.89±6.16

 

p=0.812

z=-0.230

 

36.62±21.40

 

p=0.461

z=-0.732

142(69.30)

45.78±6.66

34.53±18.14

Level of education

   Diploma

   Technician

   Bachelor

   MSc

   PhD

 

2(1.00)

 

47.00±5.65

p=0.021**

z=9.050

 

28.00±5.65

p=0.370

z=3.091

98(47.80)

46.37±5.47

36.68±19.0

83(40.50)

44.99±7.64

34.82±20.87

12(5.90)

40.576.45

28.42±18.69

10(4.90)

47.79±7.42

28.50±14.728

Employment status

   Conscription law's conscripts

   Temporary-to permanent

   Hiring Private company

   Contractual

   Permanent

 

12(5.90)

 

47.00±3.38

p=0.884**

z=1.160

 

36.12±20.99

p=0.292

z=4.910

 

24(11.70)

 

46.59±7.42

 

28.35±18.30

 

63(30.70)

 

45.48±5.69

 

36.78±18.90

 

47 (22.90)

 

45.92±7.21

 

39.58±21.61

59(28.80)

45.12±6.80

34.60v17.15

Smoking

   No

   Yes

 

198(96.60)

 

45.78±6.53

p=0.883*

z=-.243

34.91±18.83

p=0.912

z=-0.113

7(3.40)

46.21±5.23

35.28±30.14

Age

   Mean±SD

 

34.90±7.87

 

r=-0.020, p=0.700

 

r=-0.009, p=0.900***

Work experience

   Mean±SD

 

10.60±7.97

 

r=-0.030, p=0.960

r=-0.06, p=0.390***

*Mann–Whitney U test, ** Kruskal Wallis Test, ***Spearman

 

 

The findings showed that occupational stress has a positive and significant relationship with depression (r=0.189, p=0.009) (Table 2).

Table 2. The correlation between occupational stress and depression in EMTs based on spearman test

Depression

Occupational Stress

Demand

Control

Communication

Role

Manager Support

Colleague Support

Total Score

Disappointment

r*

0.183

0.033

0.285

0.044

0.085

0.033

0.158

p-value

0.009

0.636

0.000

0.527

0.223

0.639

0.024

Inability in decision making

r

0.184

0.030

0.244

0.129

0.023

-0.101

0.100

p-value

0.008

0.665

0.000

0.064

0.746

0.148

0.153

Sadness & lack of interest in life

r

0.185

0.119

0.318

0.221

0.090

-0.092

0.196

p-value

0.008

0.088

0.000

0.001

0.198

0.188

0.005

Total Score

r

0.198

0.097

0.321

0.188

0.082

-0.088

0.189

p-value

0.004

0.166

0.000

0.007

0.245

0.207

0.009

*r: Correlation Coefficient

 

 

Also, Logistic regression analysis showed the level of education (OR=0.577, p=0.029) and employment status (OR=0.647, p=0.050) as protective  of occupational stress and the number of children (OR=0.433, p=0.021) identified as the most important protective factor in EMTs when facing tge patients with suspected covid-19 (Table 3).

 

 

Table 3. The relationship between demographic characteristics with occupational stress and depression in EMTs based on logistic regression

Variabels

Occupational Stress

Depression

p-value

OR*

95% CI**

p-value

OR*

95% CI**

Lower

Upper

Lower

Upper

Age

0.178

0.918

0.811

1.040

0.616

1.049

0.869

1.268

Gender

0.663

0.760

0.221

2.615

0.613

0.647

0.120

3.491

Marital Status

0.784

0.895

0.405

1.979

0.489

1.594

0.426

5.958

Number of children

0.625

1.117

0.718

1.738

0.021

0.433

0.213

.879

Education

0.029

0.577

0.527

1.033

0.606

0.881

0.543

1.428

Occupation

0.050

0.647

0.597

1.038

0.234

1.282

0.852

1.930

Occupational experience

0.147

1.089

0.971

1.222

0.881

0.987

0.830

1.174

Smoking

0.922

1.081

0.226

5.164

0.826

0.773

0.078

7.640

* Odds Ratio ** Confidence Interval

 

Discussion

As evidenced by the findings of  the present study, most participants suffered from high occupational stress and moderate to severe depression. Occupational stress also had a positive and significant relationship with depression. Logistic regression analysis identified educational level and employment status as protectors of job stress and number of children as the most important protective factor of depression in patients suspected to coronavirus. Most of the EMTs had high occupational  stress in dealing with Covid-19 patients. In this regard, Magnavita et al. (2020) (19), Rodriguez et al. (2020) (32) and Zare et al. (2021) (33) reported that occupational exposure during the COVID-19 era will lead to high levels of occupational stress among medical staff.

Occupational stress is a situation which is resulted from the interaction between people and work and leads to changes in the physical and mental state (34). There are various sources of occupational stress in medical staff, including direct and constant contact with patients' pain and suffering, staff shortages, working conditions (35), multiple tasks, high work volume, inadequate support system (36), and rotation. The existence of work shifts and the resulting sleep disturbance, physical problems, the complexity of care services (37,38), conflict between work and family life, and lifestyle disturbance (38,39) resulted in medical workers being exposed to more physical, psychological and social stress than other professions (38).

Another major issue causing occupational stress for employees during the COVID-19 epidemic was transmission of dangerous and deadly Corona disease (33). The medical staff were afraid of contracting this contagious disease. In addition, they feared being carriers of this disease and  transmit it to their families. This problem imposes a great burden on healthcare providers (33). Even thinking that they have caused the disease to pass on to their relatives and cause their death is very distressing and has many psychological effects (40). All these challenges will have devastating effects on the personnel health. Therefore, these issues should be taken into consideration in the post-corona era (16-18). This problem has other stress mechanisms in EMTs. They are faced with suspected patients who do not yet have a definite diagnosis of corona. The lack of definitive diagnosis causes double concern (8). Sometimes the call is made by the patient and the family for other reasons, such as heartache, headache, weakness, and lethargy, and after the initial examination, emergency medical personnel suspect corona (41). A non-communicable disease was initially considered, but after examining the personnel, they suspected COVID (9). This issue causes anxiety in the EMTs, and they will be doubtful and worried about being a carrier. On the other hand, EMTs directly refer to patients' homes, where a person may be a carrier but has not been diagnosed, because the home environment is not controlled like a hospital. These issues create mental challenges for the personnel and over time will leave their destructive effects on their mental health.

The persistence of occupational stress will cause depression (13). Depression can be the most serious side effect after corona. In this regard, the present study showed that most of the participants had moderate to severe depression. Pranav Srikanth et al. in their research (2022) reported that 35% of the staffs had a major depressive disorder  during covid-19 pandemic (42). Also, in the study by Manzanares et al. (2022), up to 25% of nursing professionals had depression. Also, the most important causes of depression can be unpleasant experiences, individual-social failures, physical and mental deprivations, communication problems, mental illnesses, stress, anxiety, etc. The emergence of these factors greatly accelerated during the Corona period (43).

According to the findings of the present study, occupational stress has a positive and significant relationship with depression. In this regard, the study of Yoshizawa et al. (2016) showed that occupational stress is related to depression (44). Also, Sriharan et al. (2020) confirmed the relationship between continuous occupational stress and depression (45). Constant stress causes depression through physiological mechanisms (16). Chronic stress disposal induces reduced hippocampal volume and diminished expression of neurotrophic factors and inhibits neurogenesis occurring in the dentate gyrus in the adults' brain. In the psychological stress-induced rat model of depression, levels of total zinc and mRNA expression of zinc transporting-associated proteins decreased in the hippocampus, while zinc functioned as a cofactor for enzymes that are critical for biochemical processes, especially in the brain (46). On the other hand, stress is a factor causing an imbalance in a person's physical and mental state, and by creating psycho-physical problems, it reduces a person's efficiency in various dimensions of work, social and family life, and leas to depression (47). Of course, the prevalence of stress and depression have two-way effects, and the presence of one can cause the other in the long run (14,48). Therefore, effective policies should be considered by the authorities in order to reduce these two issues in the personnel. One of the solutions in this field is to improve the individual skills of the personnel to psychological recovery. Typically, these skills are improved in continuing professional education courses.

Logistic regression in the present study showed educational level and employment status to be effective in predicting occupational  stress in emergency medical personnel when dealing with Covid-19 patients. The study of Kakemam et al. (2019) reported that the level of nurses' education is a protective factor against occupational stress (49). Hasan et al. (2018) also reported education as an effective factor in occupational stress (50). Therefore, improving education is considered an effective and protective factor against occupational stress because it is usually associated with increasing age, changing employment status, and marriage. In fact, people who have advanced education can pass employment exams and are considered employees in medical sciences (51). The field of emergency medicine is one of the fields where employees can study while working. Naturally, a better employment situation is associated with a reduction in stress levels (12).

Also, logistic regression in the present study identified the number of children as a protective factor in predicting depression for EMTs when facing covid-19 patients. Having a child causes more frequent meetings between parents and children. On the other hand, parents become more engaged in their daily lives and try harder to improve themselves and their children. Being involved in these activities reduces isolation and loneliness and finally depression (52).

The main limitation of the present study was the unpredictability of the end of Corona when screening for depression and work-related stress. We therefore collected the data after the sixth peak of Corona (April 2022). We cannot certainly say that work and depression are exclusively related to Corona, but we attempted to increase the certainty of our research through inclusion criteria. However, when we assessed the emergency medical services (EMS), most of the missions were related to Corona.

 

Implications for practice

The results of this study showed that most of the EMTs who face patients suspected of having COVID-19 have high occupational  stress and moderate to severe depression. Also, occupational stress has a positive and significant relationship with depression. Encountering covid-19 patients was a stressful factor for EMTs. On the other hand, some demographic factors were recognized as protective  of occupational stress and depression. Therefore, paying attention to psychological factors such as occupational stress and depression and the influencing factors in emergency medical personnel should be one of the priorities of the post-coronavirus era. It is also necessary to improve the individual skills of personnel to psychological recovery in the form of continuing professional education classes.

Acknowledgments

This manuscript is a part of a research project with the code A-12-1326-2 approved by the Vice Chancellor for Research of Zanjan University of Medical Sciences. The study was approved by the Ethics Committee of Zanjan University of Medical Sciences, Zanjan, Iran (IR.ZUMS.REC.1400.038). The authors would like to thank all of the EMTs of Zanjan for their cooperation throughout the study.

Conflicts of interest

The authors declared no conflict of interest.

  1. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. A novel coronavirus from patients with pneumonia in China, 2019. New England journal of medicine. 2020;382(8):727-33.
  2. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497-506.
  3. Roca J, Canet-Vélez O, Cemeli T, Lavedán A, Masot O, Botigué T. Experiences, emotional responses, and coping skills of nursing students as auxiliary health workers during the peak COVID‐19 pandemic: A qualitative study. International Journal of Mental Health Nursing. 2021;30(5):1080-92.
  4. Chiu HF, Lam LC, Li S, Chiu E. SARS and psychogeriatrics: perspective and lessons from Hong Kong. International Journal of Geriatric Psychiatry. 2003;18(10):871-3.
  5. Lin CY, Peng YC, Wu YH, Chang J, Chan CH, Yang DY. The psychological effect of severe acute respiratory syndrome on emergency department staff. Emergency medicine journal : EMJ. 2007;24(1):12-7.
  6. Lehmann M, Bruenahl CA, Löwe B, Addo MM, Schmiedel S, Lohse AW, et al. Ebola and psychological stress of health care professionals. Emerging infectious diseases. 2015;21(5):913-4.
  7. Zhan M, Qin Y, Xue X, Zhu S. Death from Covid-19 of 23 Health Care Workers in China. New England Journal of Medicine. 2020;382(23):2267-8.
  8. Ilczak T, Rak M, Sumera K, Christiansen CR, Navarro-Illana E, Alanen P, et al. Differences in Perceived Occupational Stress by Demographic Characteristics, of European Emergency Medical Services Personnel during the COVID-19 Virus Pandemic: An International Study. Healthcare. 2021;9(11):1582.
  9. Akkoyunlu Y, Cetin G, Bolukcu S, Okay G, Ogun H, Durdu B, et al. The successful management of an elderly Covid-19 infected patient by plasmapheresis. Transfusion and Apheresis Science. 2020;59(6):102924.
  10. Vasiliu O, Marinescu I, Vasile D. Diagnostic and treatment features of work stressrelated disorders in healthcare professionals in the context of COVID-19 pandemic. Psihiatru ro. 2021;66(3):22-9.
  11. Ganefianty A, Yona S, Fahmi I, Nurachmah E. Factors Associated with Nurses' Fears in Caring for Patients with COVID-19. Evidence Based Care. 2022;12(3):41-7.
  12. Rasouli Nasim, Mohammad A. Comparison of occupational stress level of nurses in public and private hospitals in Qom, 2016. Quarterly Journal of Nursing Management. 2019;2(8):10-7.
  13. Yang XY, Liu J, Li ML, Li P, Wang X, Zeng Q. Effects of occupational stress and related factors on depression symtoms of workers in electronic manufacturing industry. Zhonghua lao dong wei sheng zhi ye bing zazhi= Zhonghua laodong weisheng zhiyebing zazhi= Chinese journal of industrial hygiene and occupational diseases. 2018;36(6):441-4.
  14. Saeidi M, Safaei A, Sadat Z, Abbasi P, Sarcheshmeh MSM, Dehghani F, et al. Prevalence of Depression, Anxiety and Stress Among Patients Discharged from Critical Care Units. Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures). 2021;7(2):113-22.
  15. Rasool SF, Wang M, Zhang Y, Samma M. Sustainable Work Performance: The Roles of Workplace Violence and Occupational Stress. International journal of environmental research and public health. 2020;17(3):912.
  16. Magnavita N, Soave PM, Antonelli M. Prolonged Stress Causes Depression in Frontline Workers Facing the COVID-19 Pandemic-A Repeated Cross-Sectional Study in a COVID-19 Hub-Hospital in Central Italy. International journal of environmental research and public health. 2021;18(14):7316.
  17. Al Maqbali M, Al Sinani M, Al-Lenjawi B. Prevalence of stress, depression, anxiety and sleep disturbance among nurses during the COVID-19 pandemic: A systematic review and meta-analysis. Journal of psychosomatic research. 2021;141(1):110343.
  18. Wu Y, Wang J, Luo C, Hu S, Lin X, Anderson AE, et al. A Comparison of Burnout Frequency Among Oncology Physicians and Nurses Working on the Frontline and Usual Wards During the COVID-19 Epidemic in Wuhan, China. Journal of pain and symptom management. 2020;60(1):60-5.
  19. Magnavita N, Soave PM, Ricciardi W, Antonelli M. Occupational Stress and Mental Health among Anesthetists during the COVID-19 Pandemic. International journal of environmental research and public health. 2020;17(21):1-14.
  20. Micali E. Occupational Stress in Healthcare During Covid 19. Illness, Crisis & Loss. 2023;31(3):608-16.
  21. Zhang X, Zhao K, Zhang G, Feng R, Chen J, Xu D, et al. Occupational Stress and Mental Health: A Comparison Between Frontline Medical Staff and Non-frontline Medical Staff During the 2019 Novel Coronavirus Disease Outbreak. Frontiers in psychiatry. 2020;11:555703.
  22. Nishihara T, Yoshihara K, Ohashi A, Kuroiwa M, Sudo N. Occupational stress, psychological distress, physical symptoms, and their interrelationships among frontline nurses caring for COVID-19 patients in Japan. Medicine. 2022;101(48):e31687.
  23. Karami Rajabpoor A, Gheiasi SF, Amini K, Rabie Siahkali S. Moral Courage and Its Related Factors in Emergency Medical Technicians during the Covid-19 Pandemic in 2021: A Cross-sectional Study. Evidence Based Care. 2022;12(3):7-15.
  24. Brachman RA, McGowan JC, Perusini JN, Lim SC, Pham TH, Faye C, et al. Ketamine as a prophylactic against stress-induced depressive-like behavior. Biological psychiatry. 2016;79(9):776-86.
  25. Lee CY, Byun EK, Kim NH. Influence of job stress and state of sleep on the depression of emergency medical technicians. Korean Journal of Occupational Health Nursing. 2013:191-7.
  26. Sadat Z, Abdi M, Aghajani M. Prevalence of Posttraumatic Stress Disorder and Related Factors Among Patients Discharged From Critical Care Units in Kashan, Iran. Archives of trauma research. 2015;4(4):e28466.
  27. Magnavita N. Anxiety and depression at work. the A/D Goldberg Questionnaire. Giornale italiano di medicina del lavoro ed ergonomia. 2007;29(3 Supple):670-1.
  28. Aminpoor H, Afshinfar J, Mostafaei A, Ostovar S. Validation of Goldberg’s Depression Scale in academic and non-academic peoples. Ann Biol Res. 2012;3(9):4564-73.
  29. He SC, Wu S, Wang C, Wang DM, Wang J, Xu H, et al. Interaction between job stress, serum BDNF level and the BDNF rs2049046 polymorphism in job burnout. Journal of affective disorders. 2020;266(1):671-7.
  30. Rasouli Z. Investigating the relationship between job stress and burnout with productivity of pilots. Journal of Army University of Medical Sciences of the Islamic Republic of Iran. 2012;10(2):133-7.
  31. Bagozzi RP, Yi Y. Specification, evaluation, and interpretation of structural equation models. Journal of the academy of marketing science. 2012;40:8-34.
  32. Rodriguez RM, Medak AJ, Baumann BM, Lim S, Chinnock B, Frazier R, et al. Academic Emergency Medicine Physicians' Anxiety Levels, Stressors, and Potential Stress Mitigation Measures During the Acceleration Phase of the COVID-19 Pandemic. Academic emergency medicine : official journal of the Society for Academic Emergency Medicine. 2020;27(8):700-7.
  33. Zare S, Mohammadi dameneh M, Esmaeili R, Kazemi R, Naseri S, Panahi D. Occupational stress assessment of health care workers (HCWs) facing COVID-19 patients in Kerman province hospitals in Iran. Heliyon. 2021;7(5): e07035 .
  34. Jafari N, Bakhshi E, Moradi A, Asadi H, Naderi M. Assessment of demographic and job related stressors on depression, stress and anxiety in employees of Islam Abad Gharb Health Centers. Journal of Health. 2018;9(4):403-13.
  35. Hakola T, Paukkonen M, Pohjonen T. Less quick returns--greater well-being. Industrial health. 2010;48(4):390-4.
  36. Pak HM, Ahmadi F, Anoosheh M. Spiritual beliefs and quality of life: A qualitative research about diabetic adolescent girls' perception. Koomesh. 2010;12(2):144-51.
  37. Farahaninia M, Ehyaei P, Ahmadi Z, Haghani H. relationship between nurses’ social health and quality of life. Journal of Client-Centered Nursing Care. 2019;5(2):131-40.
  38. Darvishpoor Kakhki A, Ebrahim H, Alavi Majd H. Health status of nurses of hospitals dependent to Shahroud Medical University. Iran journal of Nursing. 2009;22(60):19-27.
  39. Heidari F, Mohammadkhan-Kermanshahi S. Health related lifestyle in nurses. Journal of Health and Care. 2012;14(3):1-10.
  40. Beach SR, Schulz R, Donovan H, Rosland AM. Family Caregiving During the COVID-19 Pandemic. The Gerontologist. 2021;61(5):650-60.
  41. Aiyegbusi OL, Hughes SE, Turner G, Rivera SC, McMullan C, Chandan JS, et al. Symptoms, complications and management of long COVID: a review. Journal of the Royal Society of Medicine. 2021;114(9):428-42.
  42. Srikanth P, Monsey LM, Meischke HW, Baker MG. Determinants of Stress, Depression, Quality of Life, and Intent to Leave in Washington State Emergency Medical Technicians During COVID-19. Journal of occupational and environmental medicine. 2022;64(8):642-8.
  43. Manzanares I, Sevilla Guerra S, Lombraña Mencía M, Acar-Denizli N, Miranda Salmerón J, Martinez Estalella G. Impact of the COVID-19 pandemic on stress, resilience and depression in health professionals: a cross-sectional study. International Nursing Review. 2021;68(4):461-70.
  44. Yoshizawa K, Sugawara N, Yasui-Furukori N, Danjo K, Furukori H, Sato Y, et al. Relationship between occupational stress and depression among psychiatric nurses in Japan. Archives of environmental & occupational health. 2016;71(1):10-5.
  45. Sriharan A, Ratnapalan S, Tricco AC, Lupea D, Ayala AP, Pang H, et al. Occupational Stress, Burnout, and Depression in Women in Healthcare During COVID-19 Pandemic: Rapid Scoping Review. Frontiers in global women's health. 2020;1:596690.
  46. Yang L, Zhao Y, Wang Y, Liu L, Zhang X, Li B, et al. The Effects of Psychological Stress on Depression. Current neuropharmacology. 2015;13(4):494-504.
  47. Njim T, Mbanga C, Mouemba D, Makebe H, Toukam L, Kika B, et al. Determinants of depression among nursing students in Cameroon: a cross-sectional analysis. BMC nursing. 2020;19(1):26.
  48. Hosang GM, Shiles C, Tansey KE, McGuffin P, Uher R. Interaction between stress and the BDNF Val66Met polymorphism in depression: a systematic review and meta-analysis. BMC Medicine. 2014;12:7.
  49. Kakemam E, Raeissi P, Raoofi S, Soltani A, Sokhanvar M, Visentin D, et al. Occupational stress and associated risk factors among nurses: a cross-sectional study. Contemporary nurse. 2019;55(2-3):237-49.
  50. Hasan AA, Elsayed S, Tumah H. Occupational stress, coping strategies, and psychological-related outcomes of nurses working in psychiatric hospitals. Perspectives in psychiatric care. 2018;54(4):514-22.
  51. Abdi M, Naghiloo MJ, Dinmohammadi M. Factors affecting the time management of graduate medical sciences students during the covid-19 pandemic. Journal of Medical Education Development. 2022;15(46):22-8.
  52. Orgilés M, Espada JP, Delvecchio E, Francisco R, Mazzeschi C, Pedro M, et al. Anxiety and depressive symptoms in children and adolescents during COVID-19 pandemic: A transcultural approach. Psicothema. 2021;33(1):125-30.