Prevalence of stress and its determinants among residents in Saudi Arabia ========================================================================= * Fahad D. Alosaimi * Sana N. Kazim * Auroabah S. Almufleh * Bandar S. Aladwani * Abdullah S. Alsubaie ## Abstract **Objectives:** To examine perceived stress among residents in Saudi Arabia and its associated risk factors. **Methods:** A cross-sectional study of all residents registered at the Saudi Commission for Health Specialties, Riyadh, Saudi Arabia, was conducted between May and October 2012. We assessed the likelihood of stress using the perceived stress scale (PSS). **Results:** Out of the 4000 residents contacted, 1035 responded and 938 were included. The mean (±standard deviation) PSS score was 22.0±5.1 (median 22 and inter-quartile range of 18-25). With the exception of gender and nationality, no significant associations were found between stress and socio-demographic or behavioral factors. Stress was associated with higher workload, sleep deprivation, dissatisfaction with colleagues and the program, and harmful ideations. Stressors included work-related, academic, and homesickness stressors. In multivariate analysis, the following were independently associated with stress: Saudi nationality, facing homesick stressor, facing work-related stressor, dissatisfaction with relationships with colleagues, and frequent thoughts of quitting the medical profession. **Conclusion:** Residents in Saudi Arabia are at comparable or slightly higher risk of perceived stress than that reported among residents worldwide. Unfortunately, most of the participants never received stress management, which highlights the need for stress management programs during residency. The healthcare profession needs adequate medical residency training programs to increase its members’ professional qualifications and to maintain patient safety. However, residency training is a difficult and stressful stage of development in a professional career.1 Residents are often subject to prolonged working hours, prolonged sleep deprivation, uncontrolled schedules, high job demands, and inadequate personal time.2 High job demands are combined with poor job resources, such as poor opportunities for professional development and low supervisor support. These factors may cause burnout, which is characterized by emotional exhaustion, depersonalization, and reduced personal accomplishment.3,4 Additionally, residency may impact the residents’ quality of life5 and cause them to experience sleep disorders,6 family problems,7 and even psychiatric disorders.8 These stress symptoms may in turn negatively impact patient care and result in frequent medical errors9 and suboptimal care practices.10 Some countries have implemented mandatory work hour limitations to improve residents’ quality of life with promising results, but this approach may diminish patient care and educational outcomes.11,12 We categorized the stressors that residents face into the following categories: institutional stressors, such as heavy workload, sleep deprivation, and poor learning environments; personal stressors, such as social problems, family problems, and financial difficulties; and professional stressors, such as career planning issues and information overload.13 Several studies from various parts of the world have already evaluated the presence of stress symptoms or their risk factors among medical residents in different programs.14-18 However, we struggled to compare the findings from these studies, because they employed different tools to assess the presence of stress. The study populations also varied considerably. In recent years, universities, and other major healthcare providers have been implementing additional recognized residency programs and have been enrolling more residents in Saudi Arabia to fix the huge deficiency in the number of Saudi-National practicing physicians.19 Yet no data pertaining to the stress among residents in Saudi Arabia exists. This information is a critical step toward occupational stress management, so the objective of the present study is to examine perceived stress among residents in Saudi Arabia and its associated risk factors, including personal and work-related stressors. ## Methods We recruited the study population from a pool of residents registered at the Saudi Commission for Health Specialties (SCHS). The SCHS is responsible for registering and professionally certifying all healthcare practitioners, supervising and assessing training programs, and evaluating and recognizing health institutions for the purposes of medical training and specialization. The SCHS currently recognizes 37 residency and fellowship training programs in multiple health specialties. ### Population We conducted our study on medical residents trained in different residency programs in Saudi Arabia. All residents who enrolled in single-hospital or joint multiple-hospital programs in any of the 5 Saudi regions (Central, Eastern, Western, Northern, and Southern regions) were eligible to be included in the study, but we excluded interns and fellows. ### Study design This study was cross-sectional, and it was carried out between May and October 2012. The study obtained all the necessary ethical approvals from the institutional review board of the Faculty of Medicine at King Saud University, Riyadh, Saudi Arabia. ### Recruitment We obtained a list of all residents registered at SCHS, which was up-to-date at the beginning of the study. We sent 3 successive e-mails to the members on this list explaining our study objectives. Each e-mail included the study questionnaires in the body of the message, and an informed consent form as an attachment. Out of the 4000 members on the list, 1035 returned the e-mail with the forms completed, representing a 25.9% response rate. Subsequently, 57 participants were excluded because they identified themselves as fellows, and another 40 participants were excluded because they did not complete the answers to the perceived stress scale (PSS). ### Data collection tool We developed a self-administrated questionnaire specifically for the present study, and it included socio-demographic characteristics (such as age, gender, nationality, marital status, and income), clinical history (major medical illnesses and psychiatric disorders), residency characteristics (specialty and year), workload (such as number of patients served, serving on calls, covering weekend, and sleep duration and quality), recently faced stressors (work-related and non-work related), harmful ideations (wishes to die or thoughts of self-harm), job satisfaction (including program and colleagues), awareness of burnout phenomena, and education or training in stress management. The face and content validity of the study questionnaire were evaluated by experts in psychiatry, ethics, and epidemiology before piloting with a small number of participants (n=20). The wording and the suggested answers for some of the questions have been modified based on the feedback from the pilot sample. In addition, we assessed the participants’ likelihood of stress with the PSS, which is a 10-question tool for measuring a person’s perception of stress over the past month.20,21 The respondents answered each PSS question on a Likert-type scale (never, almost never, sometimes, fairly often, or very often). We scored the answers to questions 1, 2, 3, 6, 9, and 10 such that “never” corresponds to zero and “very often” corresponds to 4. We scored the answers to questions 4, 5, 7, and 8 with “never” as 4 and “very often” as zero. The PSS score is calculated by summing up the scores of all the individual questions, and higher scores indicate higher levels of stress. The PSS had good internal consistency among its items, as indicated by an overall Cronbach’s Alpha value of 0.743. ### Statistical analysis We presented the data in the form of frequencies and percentages for the categorical data and as the mean and standard deviation (SD) for continuous data. As of yet, there is a lack of studies proposing a standard cut-off score to diagnose or to grade stress,21 so we categorized the PSS scores into 3 tertiles. The lower tertile includes scores that are less than 20, the middle tertile ranges from 20 to 24, and the upper tertile includes scores that are higher than 24. To examine the determinants of stress, we examined the differences between the 3 tertiles with regard to socio-demographic characteristics, clinical history, residency characteristics, workload and stressors, harmful ideations, job satisfaction, and stress management. A chi-square test or Fisher’s exact test was used (as appropriate) for the categorical data. We also used one-way analysis of variance or the Kruskal-Wallis test (as appropriate) to assess the continuous data. Factors that were significantly associated with perceived stress in univariate analysis were entered into multivariate logistic regression analysis to detect independent associations, using backward elimination. The outcome was highest tertile of PSS scores compared with other tertiles. All *P*-values were 2-tailed, and a *P*-values of <0.05 was considered significant. Statistical analysis was performed by the IBM SPSS Statistics for Windows version 20.0 (IBMCorp, Armonk, NY, USA). ## Results Table 1 shows the socio-demographic characteristics of the study participants. The residents had an average age of 28.4±3.0 years, and approximately 55.4% were males, 87.9% were of Saudi nationality, and 58% were married. Mostly had an income that fell within SAR15,000 to SAR19,999. Forty-six percent of all respondents were satisfied with their income, and 36% were dissatisfied. Of the 5 regions of Saudi Arabia, most of the respondents were working in the Western and Central regions. Of all the socio-demographic characteristics, only female gender (*p*<0.001) and Saudi nationality (*p*=0.007) had significant associations with the upper tertile of the PSS score. View this table: [Table 1](http://smj.org.sa/content/36/5/605/T1) Table 1 Socio-demographic characteristics of medical residents in Saudi Arabia (N=938). Nine percent of the residents had one or more major medical illnesses, such as diabetes, hypertension, or hyperlipidemia (data not shown). Fifteen percent had a family history of psychiatric disorders, and 16% had a personal history of psychiatric disorders. These disorders include depression, anxiety, and bipolar disorder (data not shown). Eighteen percent of the respondents were smokers, whereas only 2% (often/sometimes) drank alcohol or took illicit drugs. The upper tertile of the PSS score is not significantly associated with the presence of major medical illnesses, personal or family history of psychiatric disorders, smoking, or alcohol/drug intake. The responses to the 10 items on the PSS appear in Table 2. During the 30 days preceding the survey, 68.2% of the residents often (namely “fairly” or “very”) felt nervous and stressed, 44.7% of them often felt upset because of unexpected events, and 47.5% often felt angered by circumstances that were beyond their control. In addition, 45.8% of the respondents often felt unable to control important things in their life, and 29.9% often felt that difficulties were piling up too high to overcome. In contrast, 23.6% of the residents often felt that things were going their way, 27.5% often felt that they were on top of things, 43.4% often felt confident in their ability to handle their personal problems, and 34.7% had often been able to control irritations in their life. The mean (and standard deviation) of the PSS scores was 22.0±5.1, with an absolute range of 7-38, median of 22, and inter-quartile range of 18-25. The PSS data was normally distributed with kurtosis of -0.209 and skewness of 0.031. View this table: [Table 2](http://smj.org.sa/content/36/5/605/T2) Table 2 Responses to the perceived stress scale from medical residents in Saudi Arabia (N=938). Table 3 shows the residency and workload characteristics of the study participants. Approximately 52.2% of the residents joined multi-hospital programs, while the remaining 47.8% joined single-hospital programs. The respondents were distributed into 29 specialties, with the most common being internal medicine, pediatrics, family medicine, surgery, radiology, obstetrics and gynecology, and orthopedics. Most of the participants were still in their early years of residency. During the 30 days preceding the survey, 84% were serving on call (with an average of 6 calls per month), and 85% were covering weekends (averaging 2 weekends per month). Approximately 72% was sleeping 2-6 hours per day, and only 22% were feeling refreshed after sleep. Among the residency and workload characteristics, covering more weekends (*p*=0.013), dealing with more inpatients (*p*=0.020) or outpatients per clinic (*p*=0.011), sleeping fewer hours (*p*=0.006), and feeling un-refreshed after sleep (*p*<0.001) were significantly associated with the upper tertile of the PSS score. View this table: [Table 3](http://smj.org.sa/content/36/5/605/T3) Table 3 Residency and workload characteristics of medical residents in Saudi Arabia (N=938). Table 4 shows stressors, job satisfaction, and ideations among the study participants. Most (84%) of the residents considered the job environment stressful. The most commonly reported stressors include work-related, academic, family, and financial stressors. Seventy-six percent were satisfied with their relationship with colleagues, whereas 9% were dissatisfied. Thirty-three percent were satisfied with the training program, and 35% were dissatisfied. The main satisfying item was trainers (42%), and the main dissatisfying item was exams (51%). Seventeen percent frequently considered changing specialties, and 18% had frequent thoughts of quitting the medical profession entirely. During the 30 days preceding the survey, 8% had frequent wishes (at least several times) to die, and 4% had frequent thoughts of harming themselves. The upper tertile of the PSS scores was significantly associated with considering the job environment stressful and with certain reported stressors, such as work-related and academic stressors and the presence of homesickness. The upper tertile was also significantly associated with dissatisfaction with their relationship with colleagues, the training program, and their trainers, as well as very frequent thoughts of changing specialty, quitting the medical profession entirely, incidence of wishing to die, or thoughts of harming themselves. View this table: [Table 4](http://smj.org.sa/content/36/5/605/T4) Table 4 Stressors, job satisfaction, and ideations experienced by medical residents in Saudi Arabia (N=938). Approximately two thirds (67%) of the residents had never heard of burnout phenomena, and only 8% reported receiving education or training in stress management, with no association of either with the upper tertile of the PSS score. Approximately 56% of the residents preferred receiving stress management help in resident wellness centers (data not shown). In univariate analysis, the following factors were found to be significantly associated with perceived stress: age, gender, nationality, number of weekends covered per month, number of inpatients seen in wards, number of patients seen per clinic, sleep duration, feeling refreshed after sleep, considering job environment stressful, facing work-related, academic, and homesickness stressors, satisfaction with relationships with colleagues, satisfaction with training program, satisfying items of training program (trainers and departments/hospitals), dissatisfying items of training program (trainers and exams), thoughts of changing specialty, thoughts of quitting medical profession, thoughts of harming self, and wishes to die; as shown in **Tables 1, 3, & 4**. However, when these factors were entered into multivariate logistic regression analysis (Table 5), the following factors remained in the model and were found to be independently associated with (highest tertile) of perceived stress: Saudi nationality, facing homesickness stressor, facing work-related stressors, dissatisfaction with relationships with colleagues, and frequent thoughts of quitting medical profession. View this table: [Table 5](http://smj.org.sa/content/36/5/605/T5) Table 5 Multivariate logistic regression for factors that potentially can predict higher perceived stress in medical residents in Saudi Arabia (N=938). ## Discussion This study is the first to examine the magnitude of perceived stress among medical residents in Saudi Arabia. We covered residents of various specialties, and an extensive list of potentially associated risk factors. The perceived stress among residents in the current study appeared to be comparable to or slightly higher than the perceived stress reported among residents in other parts of the world. The mean PSS score in the current study was 22, whereas the PSS score was estimated as 21.7 in 106 cardiology residents in Argentina,14 19.9 in 159 anesthesia residents in Turkey,15 and 16.1 in 168 family medicine residents in the United States of America (USA)16 Unfortunately, there is a lack of stress data among residents in Saudi Arabia, but our findings are also comparable to the perceived stress in dental students (22.8) and medical students (21.0) in Saudi Arabia.22,23 Moreover, the perceived stress among the residents in the current study was considerably higher than that of the general population. For example, the normative data from the PSS based on a representative U.S. sample showed a PSS score of 12.0±5.9 in males and 13.7±6.6 in females.21 Although this normative data is old and may not reflect the current situation in Saudi Arabia, the comparison reaffirms the higher risk of stress among residents compared with the general population.14,24 With the exceptions of female gender and Saudi nationality, we did not detect any significant associations between stress and personal characteristics, including socio-demographic characteristics, medical history, and behavioral factors. These observations are similar to previous observations not detecting any association between resident stress and demographic characteristics.13,15-17,24 We attribute this difference to the low use of alcohol in our sample compared with Western samples. Residents in the current study who shouldered higher workloads (dealing with more patients and working more weekends) and who suffered from sleep deprivation (sleeping few hours and feeling un-refreshed after sleep) were at higher risk of stress. The current findings replicate those from previous studies that used various stress measurement tools to identify the parameters associated with higher stress in residents, such as prolonged working hours, high patient load, critical patients assigned, night duty, poor sleep duration, and quality, poor work environment, and process failure.16-18,25 The importance of prolonged working hours in causing fatigue and sleep deprivation and consequently stress led to the legal restriction of residents’ weekly working hours in the USA in 2003.24 This restriction probably had a positive impact on resident well-being.11,12 The stressors associated with stress in the current study covered the 3 groups of stressors described earlier: institutional, professional, and personal stressors.13 Although we associated our respondents’ stress with dissatisfaction with colleagues and frequent thoughts of quitting the medical profession, we are uncertain of whether this dissatisfaction or these thoughts caused the stress or vice versa. Nevertheless, another study has shown that prolonged working hours may be responsible for both stress and decreased job satisfaction among residents.26 Additionally, we noted an association between stress and harmful ideation. Experiencing stress without conflict resolution may lead to burnout, which may contribute to increasing the risk of suicide.27 Unfortunately, most of the residents were unaware of such burnout and had never received stress management, which indicates a need for stress management programs during residency. The current study contributed to knowledge on stress by adding data to the void of information on stress among residents in Saudi Arabia, surveying a relatively large number of residents across several specialties and locations, using a well-validated tool to examine stress, and using a national database for recruitment. Nevertheless, we acknowledge some limitations: the study’s cross-sectional design precluded the detection of any causal association, and we cannot avoid the possibility of reporting bias from self-reported data. Additionally, the response rate was 26%, which may negatively impact the generalizability of the current findings. However, our response rate was comparable to similar studies that used email as a recruitment tool.17,28 In conclusion, residents in Saudi Arabia are at a risk of perceived stress that is comparable to or slightly higher than the perceived stress reported by residents in other parts of the world. Their stress seems connected to higher workloads and to sleep deprivation, not to socio-demographic characteristics. We identified institutional, professional, and personal stressors in the questionnaire responses. Unfortunately, most of the participants never received stress management, which points to the need for stress management programs during residency. ## Acknowledgment *The authors would like to acknowledge the support from the SABIC Psychological Health Research and Applications Chair, Deanship of Scientific Research, King Saud University, Riyadh, Saudi Arabia. Furthermore, the authors would like to express their gratitude to Dr. Aiman El-Saed (Asst. Professor of Epidemiology and Biostatistics) for his assistance in data analysis and writing*. ## Footnotes * **Disclosure.** Authors have no conflict of interests, and the work was not supported or funded by any drug company. * Received November 19, 2014. * Accepted March 9, 2015. * Copyright: © Saudi Medical Journal This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ## References 1. Lourencao LG, Moscardini AC, Soler ZA (2010) [Health and quality of life of medical residents]. Rev Assoc Med Bras 56:81–91, Portuguese. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.1590/S0104-42302010000100021&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=20339792&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) 2. Veasey S, Rosen R, Barzansky B, Rosen I, Owens J (2002) Sleep loss and fatigue in residency training: a reappraisal. JAMA 288:1116–1124. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.1001/jama.288.9.1116&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=12204082&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) [Web of Science](http://smj.org.sa/lookup/external-ref?access_num=000177764600016&link_type=ISI) 3. Anagnostopoulos F, Demerouti E, Sykioti P, Niakas D, Zis P (2015) Factors Associated with Mental Health Status of Medical Residents: A Model-Guided Study. Clin Psychol Med Settings 22:90–109. 4. Zis P, Anagnostopoulos F, Sykioti P (2014) Burnout in medical residents: a study based on the job demands-resources model. Scientific World Journal 2014:673279. 5. West CP, Shanafelt TD, Kolars JC (2011) Quality of life, burnout, educational debt, and medical knowledge among internal medicine residents. JAMA 306:952–960. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.1001/jama.2011.1247&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=21900135&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) [Web of Science](http://smj.org.sa/lookup/external-ref?access_num=000294542600013&link_type=ISI) 6. Fruchtman Y, Moser AM, Perry ZH (2011) Fatigue in medical residents--lessons to be learned. Med Lav 102:455–463. [PubMed](http://smj.org.sa/lookup/external-ref?access_num=22022764&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) 7. Rios A, Sanchez Gascon F, Martinez Lage JF, Guerrero M (2006) Influence of residency training on personal stress and impairment in family life: analysis of related factors. Med Princ Pract 15:276–280. [PubMed](http://smj.org.sa/lookup/external-ref?access_num=16763394&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) 8. Fahrenkopf AM, Sectish TC, Barger LK, Sharek PJ, Lewin D, Chiang VW, et al. (2008) Rates of medication errors among depressed and burnt out residents: prospective cohort study. BMJ 336:488–491. [Abstract/FREE Full Text](http://smj.org.sa/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MzoiYm1qIjtzOjU6InJlc2lkIjtzOjEyOiIzMzYvNzY0Mi80ODgiO3M6NDoiYXRvbSI7czoxODoiL3Ntai8zNi81LzYwNS5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 9. West CP, Tan AD, Habermann TM, Sloan JA, Shanafelt TD (2009) Association of resident fatigue and distress with perceived medical errors. JAMA 302:1294–3100. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.1001/jama.2009.1389&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=19773564&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) 10. Shanafelt TD, Bradley KA, Wipf JE, Back AL (2002) Burnout and self-reported patient care in an internal medicine residency program. Ann Intern Med 136:358–367. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.7326/0003-4819-136-5-200203050-00008&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=11874308&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) [Web of Science](http://smj.org.sa/lookup/external-ref?access_num=000174095300003&link_type=ISI) 11. Fletcher KE, Underwood W 3rd., Davis SQ, Mangrulkar RS, McMahon LF Jr., Saint S (2005) Effects of work hour reduction on residents’ lives: a systematic review. JAMA 294:1088–1100. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.1001/jama.294.9.1088&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=16145030&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) [Web of Science](http://smj.org.sa/lookup/external-ref?access_num=000231627300010&link_type=ISI) 12. Goitein L, Shanafelt TD, Wipf JE, Slatore CG, Back AL (2005) The effects of work-hour limitations on resident well-being, patient care, and education in an internal medicine residency program. Arch Intern Med 165:2601–2616. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.1001/archinte.165.22.2601&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=16344417&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) [Web of Science](http://smj.org.sa/lookup/external-ref?access_num=000233883800011&link_type=ISI) 13. Levey RE (2001) Sources of stress for residents and recommendations for programs to assist them. Acad Med 76:142–150. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.1097/00001888-200102000-00010&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=11158832&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) [Web of Science](http://smj.org.sa/lookup/external-ref?access_num=000166842800010&link_type=ISI) 14. Waldman SV, Diez JC, Arazi HC, Linetzky B, Guinjoan S, Grancelli H (2009) Burnout, perceived stress, and depression among cardiology residents in Argentina. Acad Psychiatry 33:296–301. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.1176/appi.ap.33.4.296&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=19690109&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) [Web of Science](http://smj.org.sa/lookup/external-ref?access_num=000269055600007&link_type=ISI) 15. Abut YC, Kitapcioglu D, Erkalp K, Toprak N, Boztepe A, Sivrikaya U, et al. (2012) Job burnout in 159 anesthesiology trainees. Saudi J Anaesth 6:46–51. [PubMed](http://smj.org.sa/lookup/external-ref?access_num=22412777&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) 16. Lebensohn P, Dodds S, Benn R, Brooks AJ, Birch M, Cook P, et al. (2013) Resident wellness behaviors: relationship to stress, depression, and burnout. Fam Med 45:541–549. [PubMed](http://smj.org.sa/lookup/external-ref?access_num=24129866&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) 17. Choi SM, Park YS, Yoo JH, Kim GY (2013) Occupational stress and physical symptoms among family medicine residents. Korean J Fam Med 34:49–57. 18. Ndom RJ, Makanjuola AB (2004) Perceived stress factors among resident doctors in a Nigerian teaching hospital. West Afr J Med 23:232–235. [PubMed](http://smj.org.sa/lookup/external-ref?access_num=15587836&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) 19. Ministry of Health. Health Statistical Annual Book 1433 (2012). [Updated 2012; Accessed 2015 February 10], Available from URL:[http://www.moh.gov.sa/en/Ministry/Statistics/book/Documents/1433.pdf](http://www.moh.gov.sa/en/Ministry/Statistics/book/Documents/1433.pdf). 20. Cohen S, Kamarck T, Mermelstein R (1983) A global measure of perceived stress. J Health Soc Behav 24:385–396. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.2307/2136404&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=6668417&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) [Web of Science](http://smj.org.sa/lookup/external-ref?access_num=A1983RZ58200008&link_type=ISI) 21. 1. Spacapam S, 2. Oskamp S Cohen S, Williamson G (1988) in The social psychology of health: Claremont Symposium on applied social psychology, Perceived stress in a probability sample of the United States, eds Spacapam S, Oskamp S (Sage, Newbury Park (CA)). 22. Al-Sowygh ZH (2013) Academic distress, perceived stress and coping strategies among dental students in Saudi Arabia. Saudi Dental Journal 25:97–105. 23. El-Gilany AH, Amr M, Hammad S (2008) Perceived stress among male medical students in Egypt and Saudi Arabia: effect of sociodemographic factors. Ann Saudi Med 28:442–448. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.4103/0256-4947.51666&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=19011321&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) [Web of Science](http://smj.org.sa/lookup/external-ref?access_num=000262202400006&link_type=ISI) 24. Zare SM, Galanko J, Behrns KE, Koruda MJ, Boyle LM, Farley DR, et al. (2004) Psychological well-being of surgery residents before the 80-hour work week: a multi-institutional study. J Am Coll Surg 198:633–640. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.1016/j.jamcollsurg.2003.10.006&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=15051017&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) [Web of Science](http://smj.org.sa/lookup/external-ref?access_num=000220641800020&link_type=ISI) 25. Wrenn K, Lorenzen B, Jones I, Zhou C, Aronsky D (2010) Factors affecting stress in emergency medicine residents while working in the ED. Am J Emerg Med 28:897–902. [PubMed](http://smj.org.sa/lookup/external-ref?access_num=20825921&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) 26. Sameer ur R, Kumar R, Siddiqui N, Shahid Z, Syed S, Kadir M (2012) Stress, job satisfaction and work hours in medical and surgical residency programmes in private sector teaching hospitals of Karachi, Pakistan. J Pak Med Assoc 62:1109–1112. 27. Bittner JGt, Khan Z, Babu M, Hamed O (2011) Stress, burnout, and maladaptive coping: strategies for surgeon well-being. Bull Am Coll Surg 96:17–22. [PubMed](http://smj.org.sa/lookup/external-ref?access_num=22319907&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom) 28. Hoonpongsimanont W, Murphy M, Kim CH, Nasir D, Compton S (2014) Emergency medicine resident well-being: stress and satisfaction. Occup Med (Lond) 64:45–48. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.1093/occmed/kqt139&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=24306263&link_type=MED&atom=%2Fsmj%2F36%2F5%2F605.atom)