Skip to main content

Impact of workplace violence on anxiety and sleep disturbances among Egyptian medical residents: a cross-sectional study



Workplace violence (WPV) against healthcare workers is a common occurrence worldwide, especially among young physicians and medical residents. This study aimed to explore the negative health impacts of WPV among medical residents in Egypt, and their perception regarding how safe it is to report violence.


To investigate the prevalence of WPV among medical residents, its possible negative health impacts, specifically on sleep quality and mental health, and the perceived workplace safety climate.


This is a cross-sectional analytic study, using a convenience sample through an online questionnaire. An abuse index was calculated, generalized anxiety disorder (GAD) and sleep quality were collected from the reported outcomes.


The study sample included 101 residents (86.1% females). The most common reported form of abuse was verbal abuse, with the most common reported perpetrators being senior staff members (59.4%). About 86% of participants were classified as poor sleepers, while 59.4% had GAD, and there were significant positive correlations between GAD and Global Pittsburgh Sleep Quality Index (PSQI) scores with the abuse index. More than one third (35.6%) of residents reported a very high-risk Psychosocial Safety Climate (PSC) score, and 31.6% of them either strongly agreed or agreed that reporting a sexual harassment claim would be dangerous.


Workplace violence is common among Egyptian medical residents, with a significant negative impact on sleep quality and a rising risk of GAD. The promotion of a safe workplace environment is essential in protecting the health and wellbeing of medical residents.

Peer Review reports


Workplace violence (WPV) against healthcare workers is a common concern and a widespread phenomenon, especially among physicians in their early career phase [1]. Different forms of WPV have been reported in many occupations, and medical professionals were among the highest professional groups to suffer from workplace aggression [2]. Studies show that medical trainees in different countries experienced some forms of mistreatment at different stages of their career. For example, in a survey conducted in the United Kingdom (UK), 84% of medical trainees reported being subjected to mistreatment in clinical settings [3], while in the United States (US), according to a national survey, the prevalence of WPV was found to be as high as 93% [4]. The World Health Organization (WHO) defines WPV as "intentional use of power, threatened or actual, against another person or against a group in work-related circumstances, that either results in or has a high degree of likelihood resulting in injury, death, psychological harm, mal-development, or deprivation" [5].

WPV comprise a wide range of troublesome behaviors including discrimination, intimidation, academic power mistreatment, up to physical assault and sexual harassment [6, 7]. It is thus a deleterious experience that has many grave impacts on health and well-being [8]. Lower levels of confidence, attrition, impaired performance, stress, psychosomatic symptoms, depression, burnout, and drug abuse are all examples of these detrimental effects [7, 9, 10].

Previous studies also showed that those who experienced WPV are more likely to report sleep and anxiety disorders. A Korean study revealed a four times higher risk of sleep disorders among those who suffered WPV compared to those who did not [11, 12].

Likewise, it was found that victims of WPV reported anxiety symptoms nearly twice as much as others [13, 14]. Moreover, despite its prevalence and negative implications, WPV is seldom reported by physicians; possibly due to fear of retaliation, or due to the belief that no corrective actions will be undertaken by the organization [15].

Some authors assume that hierarchy, disrespect, stressful work environment and competition are all inherent cultural beliefs in medical organizations that eternalize the cycle of violence. Thus, medical institutions themselves are considered as "non-human perpetrators" by rooting these values and installing them subconsciously among healthcare workers [16, 17].

Despite the grave consequences of WPV on resident health, and on healthcare provision, the literature is limited on such issues in Egyptian healthcare settings (REF) [18]. Additionally, no studies assessed the relation between perceived workplace safety and residents' health in Egypt. Therefore, we conducted this study to investigate the prevalence of WPV among medical residents in Egypt, its possible negative health impacts, specifically on sleep quality and mental health. In addition, we sought to uncover their perception regarding how safe it is to report violence in their workplaces.


Participants and procedure

This study was conducted as a cross-sectional analytic study. We recruited Egyptian physicians in their residency training years, who work in Egyptian healthcare institutions. We used a convenience sample of medical residents. An online survey was disseminated through social networking platforms (mainly Facebook and WhatsApp groups of Egyptian physicians) from March 2021 to August 2021. We sent reminders every 2 weeks until the sample size was reached.

Informed consent

Residents provided their informed consent by completing the online survey. All responses were anonymous.

Sample size estimation

A Sample size of 101 residents was calculated using epi-info assuming a prevalence of the outcome variable of 84% among medical professional [3] according to the following equation [19]:

$$n = \left[ {\frac{{Z_{\alpha /2} }}{E}} \right]^{2} *P(1 - P),$$

where n = sample size; Zα/2 = 1.96 (The critical value that divides the central 95% of the Z distribution from the 5% in the tail).

p = the prevalence of the outcome variable = 84% [3]; E = the margin of error (= width of confidence interval) = 10%

We included medical residents of both genders, working in Egyptian public and university hospitals. The study excluded those who were known to have a psychological illness before entering the residency program.

Study tools

We designed an online questionnaire consisting of five sections:

Section 1: Socio-demographic data

These included age, sex, marital status, type of workplace, medical specialty, level of postgraduate education, working hours, and employment status.

Section 2: Violence and harassment:

This section was adopted from previous research [1, 20]. The authors developed this set of questions to quantify the frequency of different forms of violence, including; (A) Verbal abuse (as shouting, verbal threatened, humiliation, and belittlement), (B) Physical abuse (physical threatened, hitting, and kicking), (C) Sexual harassment (in the form of explicit jokes, comments on body figure, offensive body language, and physical act of harassment such as inappropriate touching), and (D) Academic misuse of power (such as requesting personal services, not answering questions or queries, denial of access to opportunities, undue additions to work, shifting of responsibilities, and excessive criticism). A 7-point Likert Scale was used for each item with score assigned to each response, where “Not at all” = 0; “Less than once a month” = 1; “Once a month” = 2; Few times a month” = 3; “Once a week” = 4; and “Few times a week” = 5; and “Everyday” = 6.

An index was calculated for each type of abusive behaviors by adding the total score of its components divided by the total number of items multiplied by 6. A total abuse index was calculated by adding the indices for the 4 subtypes of abusive behaviors (verbal abuse, physical abuse, sexual abuse or harassment and academic misuse of power).

Section 3: Workplace climate

This section assessed the residents' perception towards the psychosocial aspect of the workplace environment and the extent of feeling secure in their workplace. For this section, we used the two following questionnaires:

  1. A)

    Psychosocial safety climate (PSC) questionnaire [21]:

    It is a 12-item short instrument that is used to measure the four main domains of safety climate, namely senior management commitment, management priority, organizational participation, and organizational communication with employees regarding their psychosocial safety and well-being. The items are measured using a 5-point Likert format ranging from 1 (strongly disagree) to 5 (strongly agree). This tool was used for different occupations and within different types of organizations, with a Cronbach’s α coefficient of 0.94 for the 12 items.

  2. B)

    Sexual harassment climate [2, 22]:

    This section assessed the residents' perception about the psychological climate for sexual harassment through a questionnaire composed of 9 items inquiring about two main topics. First, their risk perception to report an incident of sexual harassment (3 questions) which has a reliability of Cronbach’s α = 0.59. Second, whether they think the report will be taken seriously within the organization (6 questions), with a Cronbach’sα of 0.70. The items were measured using a 5-point Likert format ranged from 1 (strongly disagree) to 5 (strongly agree), with higher scores indicating a greater intolerance of sexual harassment.

Section 4: Generalized anxiety disorder 7-item (GAD-7) scale [23]

GAD-7 scale is a valid and reliable tool used in diagnosing and assessing severity of anxiety. It includes 7 items; each one has four possible answers: not at all, several days, over half the days, and nearly every day with scores for each item ranging from 0 to 3. The collective score for all the items ranges from 0 to 21. A score of 10 or more is a cutoff point that has good sensitivity and specificity (89% and 82% respectively), excellent internal consistency (Cronbach α = 0.92), and a good test–retest reliability (intra-class correlation = 0.83).

Section 5: Pittsburgh Sleep Quality Index (PSQI) [24]

PSQI is a self-rated tool used to measure sleep quality and disturbances over a 1-month duration. The questionnaire assesses 7 areas: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. Each answer score ranges from 0 to 3, where 3 is the negative extreme on the Likert scale. The total score of the 7 components is then summed together generating a global PSQI score, where a global score of more than 5 reflects poor sleep with a diagnostic sensitivity and specificity of 89.6% and 86.5%, respectively. The PSQI is a valid and reliable method with Cronbach’s α coefficient of 0.83.

Data collection

An online questionnaire (designed on Google forms) was used to collect the data. The link of the questionnaire was shared with medical residents through their institutional emails, WhatsApp and Facebook groups and other social media platforms related to Egyptian physicians. The link included an information page about the research. An informed consent was obtained by clicking an “Agree” button to participate. After accepting to participate, the demographic data appeared first followed by the rest of the questions.

Statistical analysis

Data was analyzed using the Statistical Package of Social Sciences (SPSS) version 23. Quantitative variables were presented as either mean ± standard deviation or median and interquartile range; qualitative data were presented as frequency and percentage. We used Chi-square test to assess association between categorical variables. For quantitative variables, Mann–Whitney and Kruskal–Wallis tests were used for testing significant differences between groups. p-value < 0.05 was considered statistically significant.


One hunderd and one resident completed the survey. Summary of socio-demographic and occupational data are shown in Fig. 1.

Fig. 1
figure 1

Socio demographic and occupational characteristics of study participants (n = 101)

Regarding history of abuse among study participants, the most common reported verbal abuse was shouting and yelling, being reported daily by 26.7%, while the least reported form was physical and sexual abuse as shown in Table 1. The most common reported perpetrators were senior staff members (59.4%) (Fig. 2).

Table 1 Distribution of types of abuse experienced by residents (n = 101)
Fig. 2
figure 2

Types of perpetrators reported by study participants (n = 101)

Workplace psychosocial climate among studied residents is shown in Table 2. According to the PSC score, 36.6% of the residents showed high-risk of PSC and 35.6% with very high-risk PSC (summary of risk categories are shown in Fig. 3).

Table 2 Workplace psychosocial climate and wellbeing among study participants
Fig. 3
figure 3

Risk categories of Psychosocial Safety Climate score among study participants (n = 101). PSC Psychosocial Safety Climate

Sexual harassment climate scores among studied residents are presented in Table 3. Questions 1, 4 and 7 represent risk perception to report a sexual harassment incident. Seriousness of organization towards report is represented by questions 2, 3, 5, 6, 8, and 9. About one third of the sample (31.6%) either strongly agreed or agreed that it would be risky to file a sexual harassment complaint. A higher percentage (40.6%) confirmed they would feel uncomfortable reporting a sexual harassment complaint. In addition, almost one third of the sample (30.7%) stated they would feel afraid to file a complaint. A summary of reported outcome mean scores are presented in Table 4.

Table 3 Sexual harassment climate score among study participants
Table 4 Generalized Anxiety Disorder 7-item (GAD-7) scale, Global PSQI Score, Psychosocial safety climate score, and Sexual harassment climate score among study participants

Workplace safety climate score was significantly higher among married (median = 29.5, IQR = 15.5) than singles (median = 27, IQR = 13.3) and divorced resident (12) (p = 0.047). There was no significant difference in the studied scores in relation to the rest of demographic data of the study participants (Table 5).

Table 5 Relation between workplace psychosocial safety climate, sexual harassment climate scores and abuse index, and basic data of the study participants

Workplace psychosocial safety climate was significantly higher among those working morning shift only (median = 35, IQR = 20.5) than those working both morning and night shifts (median = 27, IQR = 14.8) (p = 0.016). There was a significant relation between residents’ specialty and Workplace PSC; the highest score was recorded among Emergency Room (ER), Intensive Care Unit (ICU) and Anesthesia residents (median = 31, IQR = 16.3). The least score was recorded for obstetrics and gynecology residents (median = 12.5, IQR = 0.5) (p = 0.047).

Abuse index was significantly higher among those working both morning and night shifts (median = 1, IQR = 1) than those working morning shift only (median = 0.7, IQR = 0.7), (p = 0.018). In addition, the abuse index showed significant relation with shift duration and residents’ specialty. Residents working 12 h shifts showed the highest scores (median = 1.0, IQR = 0.9) followed by those working 18–24 h (median = 0.9, IQR = 1.0) (p = 0.036).

Generalized anxiety disorders were detected among 59.4% and poor sleeping among 86.1% of the study participants as shown in Fig. 4.

Fig. 4
figure 4

Generalized Anxiety Disorder 7-item (GAD-7) and Pittsburgh Sleep Quality Index (PSQI) among study participants (n = 101)

Anxiety score showed significant relation to shift duration worked by the studied residents. It was highest among those working 12 h (median = 14.5, IQR = 6) and 18–24 h (median = 12.5, IQR = 11.2) and lowest among those working 6 h shift (median = 8, IQR = 11), (p = 0.011). Global PSQI score was significantly highest among those working 18 h (median = 13, IQR = 5) and lowest among those working 6 h (median = 8, IQR = 4), (p = 0.023). Residents’ specialties showed significant relation to generalized anxiety score (p = 0.024) where the highest score was recorded for surgeons (median = 19, IQR = 6.5) while the lowest score was recorded for clinical pathologists (median = 6, IQR = 8).

There was a significant relation between generalized anxiety disorder (GAD) and marital status (p = 0.047) where GAD was detected among 71.4% of singles and 50% of married residents. Shift duration was significantly related to GAD with highest rate among those working 12 h shift (71.1%) followed by those working 18–24 h shift (64.3%) and lowest rate was among those working 6 h shift (42.9%) (p = 0.041). Surgical residents showed significantly higher rate of GAD compared to others (100%) (p = 0.01). on the other hand, neuropsychiatrists showed significantly lower rate of GAD compared to others (0%) (p = 0.001) (Table 6).

Table 6 Association between global anxiety disorder and global PSQI scores and occupational data of the study participants

There was a significantly relation between Global PSQI score and marital status where, singles showed the highest score (median = 9, IQR = 6). In addition, poor sleep was detected among 95.2% of singles and 85% of married (p = 0.010). Global PSQI score was significantly highest among residents working 12 h shift (median = 9.5, IQR = 6) and the lowest score was recorded for residents working 6 h shift median = 8, IQR = 4) (Table 6).

There was no significant relation between duration of residency and the studied scores as presented in Table 7.

Table 7 Correlation between duration of residency and the studied scores

There was a direct moderate correlation between GAD and abuse index (r = 0.412, p < 0.001), and Global PSQI score (r = 0.398, p < 0.001). In addition, workplace PSC was inversely correlated to GAD (r = − 0.216, p = 0.030) (Table 8).

Table 8 Correlation between GAD and Global PSQI scores and other studied scores

Global PSQI score showed strong direct correlation to abuse index (r = 0.518, p < 0.001) and moderate direct correlation to GAD (r = 0.398, p < 0.001). On the other hand, Global PSQI scores showed an inverse moderate correlation to sexual harassment climate score (r = − 0.401, p < 0.001) and an inverse weak correlation to workplace PSC score (r = − 0.248, p = 0.012).

Linear regression was performed using backward method to detect the predictors of GAD among study participants. Factors entered to the model were shift duration, Global PSQI score, abuse index, and workplace PSC scores. Significant predictors of GAD were abuse index (p = 0.008) and Global PSQI score (p = 0.018) (Table 9).

Table 9 Linear regression for predictors of GAD among the study participants

Linear regression for predictors of Global PSQI was performed using backward method with variables entered to the model including sexual harassment climate score, shift duration, GAD score, Workplace PSC score, and abuse index. Significant predictors of Global PSQI score were abuse index (p = 0.002), GAD score (0.012) and sexual harassment climate score (p = 0.031) (Table 10).

Table 10 Linear regression for predictors of Global PSQI score among the study participants


To the best of our knowledge, this is the first study to explore WPV against medical residents in Egypt and to explore the relationship between residents’ mistreatment and the occurrence of sleep disorders and generalized anxiety. In the present study, verbal abuse on daily basis (26.7%) was the most experienced form of violence among study participants, followed by academic misuse of power (12.9%), while the least reported form was physical abuse (1%). These results are in line with the study done in 2013 by Al-Shafaee et al. who reported that the most common type of abuse was verbal abuse (36.8%), followed by academic misuse of power (35%) [1]. A study in Macau documented that healthcare workers had encountered verbal abuse, physical assault, and sexual harassment with a percentage of (53.4%), (16.1%), and (4.6%), respectively [25]. Daily exposure to shouting and yelling was reported by 26.7% of participants in the present study. Ghareeb et al., in 2021 stated that about half of the healthcare workers reported exposure to verbal violence and the most reported verbal violence categories were shouting and threatening with a prevalence of 90.5% and 58.6%, respectively [26]. Offenders prefer using verbal violence more than physical assault, possibly because shouting is the easiest and safest method of disturbing or threatening others. Regarding physical violence, we found that 15.8% of the study population faced harm by throwing objects on them once a month. This finding was in accordance with a study done in two Egyptian public hospitals where the prevalence of physical WPV was 9.6% [27]. The low prevalence of physical violence in the present study might be attributed to the high proportion of female participants (86%) and this result was supported by Al-Shafaee et al. who stated that female experienced verbal abuse rather than physical abuse [1], while male physicians experienced more physical violence than female physicians [25]. In Saudi Arabia, 19% of physicians faced physical WPV in emergency department (ED) hospitals in Dammam [25]. Furthermore, 43% of Iranian emergency residents experienced verbal abuse, 10% experienced physical assault, and 31% experienced sexual harassment [28]. Recently, a multicenter study conducted in the United Arab Emirates and Saudi Arabian Eds revealed that nearly twenty-one percent of the studied group reported being attacked physically and 32.3% reported being beaten by a weapon [29]. The percentage of participants who experienced sexual violence or harassment in the present study was low. This could reflect the underreporting of sexual violence and possibly either a recall bias linked to repressed memories during stressful events [30], or women’s fear of speaking publicly on sexual maltreatment and their fear of retaliation [31]. Indeed, in the current study, participants found that it risky to report sexual harassment. Healthcare workers' refraining from reporting violent actions was documented in previous studies [29, 32]. Fear of reporting a sexual harassment and worry towards reporting violence were in line with the previous literature, where only 30% of physicians reported such incidents to higher authorities and they considered it an inefficient procedure [33]. Such fear and lack of reporting could be attributed to inefficient security measures to protect victims and possibly a lack of publicly announced reporting systems [25] Clearly, healthcare facilities should include mechanisms that allow victims of abuse to voice their problems confidentially without jeopardizing their careers. Sexual harassment is criminalized by the Egyptian law with punishment of the harasser with a minimum sentence of six month in prison, and if the perpetrator has an authority over the victim, the sentence is between two and five years in prison [34]. The WPV penalty for verbal and physical assaults against an official employee is also stated in the Egyptian law as mentioned in articles 136, 137 and 241 of Penal Code No. 58 of 1937 [34]. Unfortunately, fear of retaliation and long legal procedures discourage victims from reporting and taking advantage of these laws.

Senior staff members (59.4%), followed by patient relatives (57.4%), were the main perpetrators in our study. Indeed, a recent study reported that 88.0% of the sources of violence against physicians were attributed to patient relatives [26]. Similarly, patients and their companions were the major causes of abusive behaviors in previous research [25, 28, 31, 35]. Additionally, consultants, specialists and senior medical staff were more likely to commit academic and verbal abuse at 50% and 65.5%, respectively [1]. Unfortunately, the occurrences of unacceptable behavior or violent acts towards junior physicians still occurs, mostly because senior staff demand filial obedience from junior physicians, as a means of expressing power [1].

Workplace PSC was significantly higher among those working morning shift only. There was a significant relation between residents’ specialty and PSC; the highest score was recorded among ER, ICU and Anesthesia residents. In 2015, Baykan et al. found that ER physicians were subjected to more violence than other specialties [36]. Meanwhile, WPV was particularly common in psychiatry and ER physicians in North American and Asian nations [37]. In the ER, physicians deal with critically ill or multiple trauma patients with angry relatives who expect to receive instantaneous care [28]. Also, physicians are at high risk of WPV due to heavy workloads, low physician–patient ratios, unmet expectations of patients and stressful work climate [38, 39]. Moreover, the negative attitudes of institutional managers, the COVID-19 pandemic, inadequate security, dissatisfaction with service, shortage of staff and violence portrayed in the media are important violence precursors, well documented in the literature [26, 27, 29, 40].

In the current study, the calculated abuse index was significantly higher among unmarried residents and those working both morning and night shifts than those working morning shift only. Harthi et al. reported similar results, where violence was significantly more prevalent among unmarried compared to married physicians [25]. Additionally, Eyasu and Taa affirmed that single women were four times more likely to encounter workplace violence than married women [41]. Marital status indeed affects workplace violence [41]. Single female workers could be more likely to face sexual harassment and verbal violence because they are generally younger than married women. Harthi et al. stated that verbal and physical abuse occurred with the same prevalence of 39.4% in both the morning and night shifts [25]. Similarly, Alzahrani et al. stated that 58% of violent attacks occur during night shifts [42]. About 74.4% of participants were exposed to bullying in the morning, which could be attributed to the presence of nearly all administrative staff in the day shifts and the high possibility of conflict with managers and other members of the healthcare team [25].

Continuous exposure to the stressful climate caused by WPV has been shown to increase the risk of short and long-term physical, social, and psychological illness [43]. It is documented in the literature that physicians exposed to WPV suffer from anxiety and sleep disorders [44, 45]. In the current study, 86% of participants were classified as poor sleepers, while 59.4% had generalized anxiety disorder (GAD). Moreover, unmarried physicians working both the morning and night shifts for a 12-h duration in public hospitals had higher insufficient sleep and GAD. Workplace violence was shown to be associated with severe anxiety [46, 47]. The relationship between GAD and WPV was reported in recent study by Yang et al. who found that in Chinese clinicians, more anxiety, insomnia and depression symptoms were linked to WPV exposure [46]. Severe anxiety and WPV have a bi-directional effect as WPV might adversely influence work interest, decrease job satisfaction, and lead to anxiety and burnout. Anxiety, on the other hand, might compromise the resident’s performance and lead to more patient conflicts, potentially increasing the risk of WPV [39]. Reduction of the quality of sleep was observed more among unmarried physicians who were exposed to WPV, and this finding was in line with Hacimusalar et al., who also reported that 72.4% of the physicians had poor sleep quality and 74.6% worked night shifts while 67.2% worked day shifts [48]. Furthermore, there was a direct correlation between both GAD and Global PSQI score with the abuse index, while Global PSQI score showed a moderate direct correlation to GAD. In agreement with previous studies, exposure to WPV had an adverse effect on healthcare subjective sleep quality and stress management [45, 49, 50]. Namely, WPV decreased subjective sleep quality by lifting the work stress of healthcare workers [51]. A recent study found that physicians who experienced verbal violence had a 2.6 times higher risk of deteriorating sleep quality than those not exposed [48]. Likewise, it was documented that verbal abuse and sexual harassment led to sleep disturbances and that higher incidences of violence resulted in increased odds for sleep disorders [52]. Nurses who encountered WPV have increased anxiety, emotional instabilities, and recurrent waking up at night, which affected their sleep quality [51, 53]. Several studies have proved the strong association between stress or anxiety and violence since violence generates stress and stressed physicians are more susceptible to violence [50, 54]. Moreover, stress and sleep disorders have a mutual relationship with a bidirectional pattern. As stress caused by violence increases, the risk of long-term ineffective sleep also increases [48, 55]. Furthermore, long-term stress is associated with activation of the “sympatho-adreno-medullary and the hypothalamo-pituitary-adrenocortical systems” which are known to affect sleep adversely [56, 57]. In addition, impaired sleep quality and sleep time have been linked to reduced learning ability, concentration, memory capacity, and ineffective coping with daily problems [58].

Limitation of the study

The study has several limitations. Our study is based on self-reported violent exposures, which predisposes our results to recall bias. As with other such surveys, the questionnaire was self-administered, and recall bias could not be ruled out. In addition, the means of collecting the sample via an online survey on social media renders it hard to ensure that our sample is representative of all medical residents in Egypt. Moreover, the responses consisted of residents who opted-in to fill the survey. This might explain why more female physicians filled the questionnaire. A possible explanation is that females are more prone to violence, thus are more eager to respond to the questionnaire. We thus recognize the possibility of a sampling bias that might limit the generalizability of our results.

The cause-effect relationship between WPV and anxiety and sleep quality could not be guaranteed since the study is cross-sectional. The sleep quality of the participants was assessed with verbal reporting by PSQI alone. However, adding biological parameters might have aided in assessing sleep quality objectively.


Workplace violence is common among Egyptian residents, where verbal abuse is committed as the most common form. Higher staff were the most prevalent preparator, followed by patients and their relatives. Exposure to WPV endangers physicians' mental and physical health, rendering them in a state of anxiety and inadequate sleep. Reporting of WPV should not be ignored by workplace authorities, and a reporting system must be effectively well implemented. Ensuring the safety of healthcare workers and the creation of a safe work environment are crucial, especially where violent actions are repeatedly seen. Enforcing legislation and increased community awareness are required to minimize and manage WPV in healthcare facilities.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.


  1. Al-Shafaee M, Al-Kaabi Y, Al-Farsi Y, White G, Al-Maniri A, Al-Sinawi H, et al. Pilot study on the prevalence of abuse and mistreatment during clinical internship: a cross-sectional study among first year residents in Oman. BMJ Open. 2013;3: e002076.

    Article  Google Scholar 

  2. Siller H, Tauber G, Komlenac N, Hochleitner M. Gender differences and similarities in medical students’ experiences of mistreatment by various groups of perpetrators. BMC Med Educ. 2017;17:134.

    Article  Google Scholar 

  3. Quine L. Workplace bullying in junior doctors: questionnaire survey. BMJ. 2002;324:878–9.

    Article  Google Scholar 

  4. Daugherty SR, Baldwin J, DeWitt C, Rowley BD. Learning, satisfaction, and mistreatment during medical internship a national survey of working conditions. JAMA. 1998;279:1194–9.

    Article  CAS  Google Scholar 

  5. WHO. World report on violence and health. 2002.

  6. Fried JM, Vermillion M, Parker NH, Uijtdehaage S. Eradicating medical student mistreatment: a longitudinal study of one institution’s efforts. Acad Med. 2012;87:1191–8.

    Article  Google Scholar 

  7. Hill KA, Samuels EA, Gross CP, Desai MM, SitkinZelin N, Latimore D, et al. Assessment of the prevalence of medical student mistreatment by sex, race/ethnicity, and sexual orientation. JAMA Intern Med. 2020;180:653–65.

    Article  Google Scholar 

  8. Dyrbye LN, Harper W, Moutier C, Durning SJ, Power DV, Massie FS, et al. A multi-institutional study exploring the impact of positive mental health on medical students’ professionalism in an era of high burnout. Acad Med. 2012;87:1024–31.

    Article  Google Scholar 

  9. Fnais N, Al-Nasser M, Zamakhshary M, Abuznadah W, Al-Dhukair S, Saadeh M, et al. Prevalence of harassment and discrimination among residents in three training hospitals in Saudi Arabia. Ann Saudi Med. 2013;33:134–9.

    Article  Google Scholar 

  10. Schuchert MK. The relationship between verbal abuse of medical students and their confidence in their clinical abilities. Acad Med: J Assoc Am Med Coll. 1998;73:907–9.

    Article  CAS  Google Scholar 

  11. Kim HR. Associations between workplace violence, mental health, and physical health among Korean Workers: The Fifth Korean Working Conditions Survey. Workplace Health Saf. 2022;70:161–72.

    Article  Google Scholar 

  12. Yoo T, Ye B, Kim J-I, Park S. Relationship of workplace violence and perpetrators on sleep disturbance-data from the 4th Korean working conditions survey. Ann Occup Environ Med. 2016;28:59.

    Article  Google Scholar 

  13. Shi L, Li G, Hao J, Wang W, Chen W, Liu S, et al. Psychological depletion in physicians and nurses exposed to workplace violence: a cross-sectional study using propensity score analysis. Int J Nurs Stud. 2020;103: 103493.

    Article  Google Scholar 

  14. Cheung T, Yip PS. Workplace violence towards nurses in Hong Kong: prevalence and correlates. BMC Public Health. 2017;17:1–10.

    Article  Google Scholar 

  15. Cheng MY, Neves SL, Rainwater J, Wang JZ, Davari P, Maverakis E, et al. Exploration of mistreatment and burnout among resident physicians: a cross-specialty observational study. MedSciEduc. 2020;30:315–21.

    Google Scholar 

  16. Miedema B, MacIntyre L, Tatemichi S, Lambert-Lanning A, Lemire F, Manca D, et al. How the medical culture contributes to coworker-perpetrated harassment and abuse of family physicians. Ann Fam Med. 2012;10:111–7.

    Article  Google Scholar 

  17. Kassebaum DG, Cutler ER. On the culture of student abuse in medical school. Acad Med J Assoc Am Med Coll. 1998;73:1149–58.

    Article  CAS  Google Scholar 

  18. Abdellah RF, Salama KM. Prevalence and risk factors of workplace violence against health care workers in emergency department in Ismailia, Egypt. Pan Afr Med J. 2017;26:1–8.

    Article  Google Scholar 

  19. Naing NN. Determination of sample size. Malays J Med Sci. 2003;10:84–6.

    Google Scholar 

  20. Baldwin DC Jr, Daugherty SR, Eckenfels EJ. Student perceptions of mistreatment and harassment during medical school. A survey of ten United States schools. West J Med. 1991;155:140.

    Google Scholar 

  21. Hall GB, Dollard MF, Coward J. Psychosocial safety climate: development of the PSC-12. Int J Stress Manag. 2010;17:353.

    Article  Google Scholar 

  22. Estrada AX, Olson KJ, Harbke CR, Berggren AW. Evaluating a brief scale measuring psychological climate for sexual harassment. Mil Psychol. 2011;23:410–32.

    Google Scholar 

  23. Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166:1092–7.

    Article  Google Scholar 

  24. Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28:193–213.

    Article  CAS  Google Scholar 

  25. Harthi M, Olayan M, Abugad H, Abdel WM. Workplace violence among health-care workers in emergency departments of public hospitals in Dammam, Saudi Arabia. East Mediterr Health J. 2020;26:1473–81.

    Article  Google Scholar 

  26. Ghareeb NS, El-Shafei DA, Eladl AM. Workplace violence among healthcare workers during COVID-19 pandemic in a Jordanian governmental hospital: the tip of the iceberg. Environ Sci Pollut Res. 2021;28:61441–9.

    Article  CAS  Google Scholar 

  27. Arafa A, Shehata A, Youssef M, Senosy S. Violence against healthcare workers during the COVID-19 pandemic: a cross-sectional study from Egypt. Arch Environ Occup Health. 2021;1–7.

  28. Sadrabad AZ, Bidarizerehpoosh F, Farahmand Rad R, Kariman H, Hatamabadi H, Alimohammadi H. Residents’ experiences of abuse and harassment in emergency departments. J Interpers Violence. 2019;34:642–52.

    Article  Google Scholar 

  29. Alshahrani M, Alfaisal R, Alshahrani K, Alotaibi L, Alghoraibi H, Alghamdi E, et al. Incidence and prevalence of violence toward health care workers in emergency departments: a multicenter cross-sectional survey. Int J Emerg Med. 2021;14:71.

    Article  Google Scholar 

  30. Allen MS, Robson DA, Martin LJ, Laborde S. Systematic review and meta-analysis of self-serving attribution biases in the competitive context of organized sport. Pers Soc Psychol Bull. 2020;46:1027–43.

    Article  Google Scholar 

  31. El-Gilany A-H, El-Wehady A, Amr M. Violence against primary health care workers in Al-Hassa, Saudi Arabia. J Interpers Violence. 2010;25:716–34.

    Article  Google Scholar 

  32. ALBashtawy M, Al-Azzam M, Rawashda A, Batiha A-M, Bashaireh I, Sulaiman M. Workplace violence toward emergency department staff in Jordanian hospitals: a cross-sectional study. J Nurs Res. 2015;23:75–81.

    Article  Google Scholar 

  33. Anand T, Grover S, Kumar R, Kumar M, Ingle GK. Workplace violence against resident doctors in a tertiary care hospital in Delhi. Natl Med J India. 2016;29:344.

    Google Scholar 

  34. Egypt’s Government Services Portal. Accessed 15 Mar 2022.

  35. Cheung T, Lee PH, Yip PSF. Workplace violence toward physicians and nurses: prevalence and correlates in Macau. Int J Environ Res Public Health. 2017;14:879.

    Article  Google Scholar 

  36. Baykan Z, Öktem İS, Çetinkaya F, Naçar M. Physician exposure to violence: a study performed in Turkey. Int J Occup Saf Ergon. 2015;21:291–7.

    Article  Google Scholar 

  37. Liu J, Gan Y, Jiang H, Li L, Dwyer R, Lu K, et al. Prevalence of workplace violence against healthcare workers: a systematic review and meta-analysis. Occup Environ Med. 2019;76:927–37.

    Article  Google Scholar 

  38. Nowrouzi-Kia B, Chai E, Usuba K, Nowrouzi-Kia B, Casole J. Prevalence of Type II and Type III workplace violence against physicians: a systematic review and meta-analysis. Int J Occup Environ Med. 2019;10:99–110.

    Article  Google Scholar 

  39. Xie X-M, Zhao Y-J, An F-R, Zhang Q-E, Yu H-Y, Yuan Z, et al. Workplace violence and its association with quality of life among mental health professionals in China during the COVID-19 pandemic. J Psychiatr Res. 2021;135:289–93.

    Article  Google Scholar 

  40. World Medical Association. 73rd World Health Assembly, Agenda Item 3: Covid-19 Pandemic Response. 2020.

  41. Eyasu N, Taa B. Effects of workplace violence on women’s psychosocial functioning in Ethiopia: emotional demand and social relations at civil service sectors in focus. J Interpers Violence. 2021;36:NP12097–124.

    Article  Google Scholar 

  42. Alzahrani TY, Almutairi AH, Alamri DA, Alamri MM, Alalawi YS. Violence and aggression toward health care professionals in emergency departments in Tabuk, Saudi Arabia. Eur J Pharm Med Res. 2016;3:5–11.

    Google Scholar 

  43. Vento S, Cainelli F, Vallone A. Violence against healthcare workers: a worldwide phenomenon with serious consequences. Front Public Health. 2020;8: 570459.

    Article  Google Scholar 

  44. Ma Y, Wang Y, Shi Y, Shi L, Wang L, Li Z, et al. Mediating role of coping styles on anxiety in healthcare workers victim of violence: a cross-sectional survey in China hospitals. BMJ Open. 2021;11: e048493.

    Article  Google Scholar 

  45. Magnavita N, Di Stasio E, Capitanelli I, Lops EA, Chirico F, Garbarino S. Sleep problems and workplace violence: a systematic review and meta-analysis. Front Neurosci. 2019.

    Article  Google Scholar 

  46. Yang Y, Li Y, An Y, Zhao Y-J, Zhang L, Cheung T, et al. Workplace violence against Chinese frontline clinicians during the COVID-19 pandemic and its associations with demographic and clinical characteristics and quality of life: a structural equation modeling investigation. Front Psychiatry. 2021.

    Article  Google Scholar 

  47. Duan X, Ni X, Shi L, Zhang L, Ye Y, Mu H, et al. The impact of workplace violence on job satisfaction, job burnout, and turnover intention: the mediating role of social support. Health Qual Life Outcomes. 2019;17:93.

    Article  Google Scholar 

  48. Hacimusalar Y, Misir E, CivanKahve A, Demir Hacimusalar G, AlperenGuclu M, Karaaslan O. The effects of working and living conditions of physicians on burnout level and sleep quality. Med Lav. 2021;112:346–59.

    Google Scholar 

  49. Stahl-Gugger A, Hämmig O. Prevalence and health correlates of workplace violence and discrimination against hospital employees—a cross-sectional study in German-speaking Switzerland. BMC Health Serv Res. 2022;22:291.

    Article  Google Scholar 

  50. Sun T, Gao L, Li F, Shi Y, Xie F, Wang J, et al. Workplace violence, psychological stress, sleep quality and subjective health in Chinese doctors: a large cross-sectional study. BMJ Open. 2017;7: e017182.

    Article  Google Scholar 

  51. Zhang S-E, Liu W, Wang J, Shi Y, Xie F, Cang S, et al. Impact of workplace violence and compassionate behaviour in hospitals on stress, sleep quality and subjective health status among Chinese nurses: a cross-sectional survey. BMJ Open. 2018;8: e019373.

    Article  Google Scholar 

  52. Gale S, Mordukhovich I, Newlan S, McNeely E. The impact of workplace harassment on health in a working cohort. Front Psychol. 2019.

    Article  Google Scholar 

  53. Lin S-H, Liao W-C, Chen M-Y, Fan J-Y. The impact of shift work on nurses’ job stress, sleep quality and self-perceived health status. J Nurs Manag. 2014;22:604–12.

    Article  Google Scholar 

  54. Magnavita N. Workplace violence and occupational stress in healthcare workers: a chicken-and-egg situation—results of a 6-year follow-up study. J Nurs Scholarsh. 2014;46:366–76.

    Article  Google Scholar 

  55. Hirotsu C, Tufik S, Andersen ML. Interactions between sleep, stress, and metabolism: from physiological to pathological conditions. Sleep Sci. 2015;8:143–52.

    Article  Google Scholar 

  56. Akerstedt T. Psychosocial stress and impaired sleep. Scand J Work Environ Health. 2006;32:493–501.

    Article  Google Scholar 

  57. Heming M. Workplace violence and its association with sleep disturbances in the Swedish working population. 2020. Accessed 16 Mar 2022.

  58. Westbrook JI, Raban MZ, Walter SR, Douglas H. Task errors by emergency physicians are associated with interruptions, multitasking, fatigue and working memory capacity: a prospective, direct observation study. BMJ Qual Saf. 2018;27:655–63.

    Article  Google Scholar 

Download references


Not applicable.


Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB). No funding was received to assist with the preparation of this manuscript.

Author information

Authors and Affiliations



SME-Z participated in contributions to conception and design, acquisition of data, writing the introduction, methodology, data interpretation, article drafting and article revision. MEI participated in contributions to conception and design, acquisition of data, data interpretation, article drafting and article revision. NMZ participated in contributions to conception and design, acquisition of data, data interpretation. SAS participated in contributions to data interpretation, contributor in writing the discussion, article drafting and article revision. RMF participated in contributions to conception and design, data interpretation and data analysis. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Shaimaa A. Shehata.

Ethics declarations

Ethics approval and consent to participate

The study was performed in accordance with the principles of the declaration of Helsinki (2000) and was approved by the Research Ethical Committee of the Faculty of Medicine, Suez Canal University (No. 4485#). An informed consent was included and obtained from all participants. All data were collected anonymously.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

El-Zoghby, S.M., Ibrahim, M.E., Zaghloul, N.M. et al. Impact of workplace violence on anxiety and sleep disturbances among Egyptian medical residents: a cross-sectional study. Hum Resour Health 20, 84 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: