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Factors influencing stress and resilience among Egyptian medical students: a multi-centric cross-sectional study

Abstract

Background

Psychological stress is a common psychological comorbidity among medical students and worsens their quality of life. Psychological resilience is thought to have a protective role against stress. However, evidence regarding the prevalence of stress and resilience alongside their associated factors is scarce, especially in the Middle East. This is the first multicenter, cross-sectional study to investigate resilience and stress among Egyptian medical students.

Methods

The current cross-sectional study was conducted on 2465 university students in seven public universities in Egypt. The universities were selected using the simple randomization method. The data was collected using a self-administered questionnaire consisting of four parts: demographic data, socioeconomic tool represented in the Family Affluence Scale (FAS), the Kessler Psychological Distress Scale (K10), and the Brief Resilience Scale (BRS). Data was analyzed in SPSS version 26 software.

Results

The majority of the students were stressed (86.5%), most of whom had severe stress (48.9%). Most of the students had low resilience (49.9%), while only 3.2% had high resilience. In the logistic regression analysis, being a female, living alone, spending long hours on social media, and thinking of suicide or leaving medicine were associated with being stressed and having low resilience. Medical students with low resilience were significantly more liable to stress [Adjusted odds ratio (AOR) = 3.667, confidence interval (CI): 2.709–4.965, P = 0.000], and vice versa [AOR = 3.709, CI: 2.746–5.009, P = 0.000]. Interestingly, high socioeconomic status showed a significant association with high resilience (P = 0.004); nonetheless, it was not associated with stress (P = 0.993). Academic grades were not associated with both the level of stress and resilience. Aging, being in clinical or academic stages, smoking, having a chronic disease, and being financially-supported are neither associated with stress nor resilience.

Conclusions

The present study revealed that Egyptian medical students had low resilience and high stress, with a significant relationship between both of them. Further investigations via longitudinal study design to understand the resilience-stress relationship are recommended. Developing and implementing resilience-improving strategies in medical schools is highly recommended to decrease the prevalence of stress and its subsequent burdens.

Peer Review reports

Introduction

Up to a third of medical students experience behavioral and psychological symptoms [1]. One of the most prominent problems is psychological stress, with an estimated prevalence of 34% [2]. Psychological stress is how our mind and emotions react when we are dealing with tough situations [3]. Stress can be a consequence of several endogenous and exogenous factors (e.g., sex, smoking, beliefs, etc.) [4]. Notably, medical students have unique stress-causing factors. These factors could be grouped into academic, socio-demographic, and psychosocial stressors. Evidently, academic stressors include having trouble understanding a new curriculum, poor educational processes, irregular schedules, frequent tests, academic stage, and anxieties about succeeding academically [5,6,7]. Alongside academic stressors, sociodemographic factors like gender (males versus females), smoking, substance misuse, marital status, employment during the study, parents’ educational attainment, cultural background, and family socioeconomic standing. Interestingly, cultural background might also influence the perception of stress among students [8]. In addition to the aforementioned factors, psychosocial factors like homesickness, financial hardship, and fear of failing in one’s medical career lead to inevitable and detrimental effects [9, 10].

High levels of stress in medical school have well-documented and serious effects, including impaired focus, anxiety and depression, unstable relationships, and even suicide [11, 12]. According to Seo et al., stressed medical students were almost four times more likely to commit suicide compared to non-stressed medical students [12]. However, medical students’ psychological resilience has been found to play a protective role against stress [13]. Resilience is the ability to deal with tough times and bounce back while maintaining mental and physical well-being [14]. Previous studies have shown a negative relationship between stress and resilience [15, 16]. When resilient physicians are stressed, they not only bounce back fast from stressors but also become stronger as a result [17]. Besides, resilient physicians are better time managers and have been shown to have a better life-work balance [18]. Moreover, based on the transactional stress theory, resilience and other personal traits regulate the relationship between stressors and stress responses [19]. Curiously, like stress, resilience is influenced by cultural factors. For example, a cross-sectional study among undergraduate medical students in India found that a quarter of the participants had low resilience [20]. On the other hand, a study conducted among students in Germany revealed that students have a moderate level of resilience and are not inherently prone to burnout [21]. This might raise concern for the effect of social and cultural factors on resilience levels and stress perception. Therefore, investigating stress and resilience and their predictors among the uncharted Egyptian medical students was a key driver for this study.

Investigation of stress and its correlates is scarce in the MENA region and Egypt, specifically. Despite a global prevalence of 34%, stress was prevalent in 59.9% of Assiut University students in Upper Egypt [22]. Furthermore, Ebrahim et al. reported a stress prevalence of 93% at Helwan University in the Delta region [23]. This reflects the huge, yet variable, prevalence of stress among Egyptian medical students in different geographical regions. Alongside the lack of studies and class 1 evidence about stress predictors in Egypt, we aimed to investigate stress and its predictors among multiple Egyptian medical schools.

This is the first multicentric cross-sectional study, consisting of a relatively large number of participants, to investigate resilience and stress among Egyptian medical students. To the best of the authors’ knowledge, this is the first cross-sectional study investigating resilience among medical students. The study aimed to reveal an inverse relationship between stress and resilience in the context of the socioeconomic and sociodemographic characteristics of Egyptian medical students. Moreover, the study investigated the role of some of the aforementioned academic and non-academic challenges in predicting stress and resilience. Besides, given the recent economic challenges in Egypt, investigating the role of socioeconomic status in predicting stress levels and resilience among medical students might be interesting to readers. Finally, this study highlighted some recommendations to alleviate stress among medical students in the context of the predictors of resilience.

Methods

Design

This study employed a descriptive, observational, multi-centric cross-sectional design, utilizing a self-administered questionnaire. The questionnaire was administered to medical students from seven different faculties of medicine at seven universities in Egypt, including Assiut University, Menia University, South Valley University, Kafr El-Sheikh University, Alexandria University, Mansoura University, and Zagazig University. The universities are located in various geographical areas across Egypt, where they were chosen based on a simple randomization process. The data collection occurred from July to October 2023.

Participants

Medical students had to meet the inclusion criteria: (1) students in their academic years (first, second, or third years of medical school), who completed at least one semester; or students in their clinical years, who took at least one clinical rotation; and (2) the students had to be able to give informed consent. The minimum sample size was calculated using OpenEpi [24]. In a previous study conducted in Albaha, Saudi Arabia, in 2022 by Atta et al. using a similar tool (the Kessler psychological distress scale), the prevalence of stress was reported at 85.5% [25]. We aimed to detect a similar effect with an 85.5% prevalence, 5% absolute deviation, 95% confidence level, and a design effect of 1. A total of 44,644 students from the seven universities were involved in the sample size calculation, which yielded a minimum total sample size of 2465 students.

Data collection

After calculation of the required sample size, a convenience sampling was adopted in the present study. The participants completed the questionnaire using Google Forms. The questionnaire was distributed to the students through official groups via the Telegram app and other social media platforms. The students answered anonymously, on their own time, and were not compensated to participate in the study. The questionnaire began with consent, and in order to proceed, students must fulfill the criteria beforehand. The survey was entirely in English and took, on average, 10:15 min to complete.

Data collection tool

This self-administered questionnaire consisted of four parts: demographic data, socioeconomic tool represented in the Family Affluence Scale (FAS) [26, 27], the Kessler Psychological Distress Scale (K10) [28, 29], and the Brief Resilience Scale (BRS) [30]. The details of each part were as follows:

Demographic data

This section of the questionnaire aimed to collect data related to students’ demographics, including age, gender, academic level, place of residence, living conditions, academic grade in the last semester, smoking, financial support, presence of chronic illness, daily studying hours, daily hours spent on social media, and daily sleeping hours.

Family affluence scale (FAS)

FAS is a socioeconomic tool designed to assess the material wealth of a family, providing insights into a young person’s socio-economic background. In the beginning, the FAS first version (FAS I) comprised three items: the number of cars, the number of vacations, and having your bedroom [31]. However, it underwent many modifications to increase its validity across countries. Eventually, the most recent six-item version of the FAS was created using psychometric validation of 16 possible indicators [27]. The scale consists of six questions with “No” or “Yes” response, and each is given a score of zero or one, respectively. Then, a total score would be made after the summation of all the scores, and higher scores indicate a higher socioeconomic status. The scale showed a Cronbach’s alpha of 0.516 [32].

Kessler psychological distress scale (K10)

This scale quantifies overall psychological stress. The survey comprises ten positive statements and employs a 5-point Likert scale to record participants’ responses, ranging from “none of the time” (1) to “all of the time” (5). A total score is obtained based on all the responses. The scores of the ten items are then summed, yielding a minimum score of 10 and a maximum score of 50 [28, 29]. The 2001 Victorian Population Health Survey proposed a cut-off for the scale in which scores of 10:19, 20:24, 25:29, and 30:50 refer to the likelihood of being well or having a mild, moderate, or severe disorder, respectively [33]. The scale showed a Cronbach’s alpha of 0.93 [28].

Brief resilience scale (BRS)

This scale consists of six items that measure resilience, which refers to the capacity to recover quickly from stressful conditions. The scale ranges from 1 (strongly disagree) to 5 (strongly agree). The test has undergone cross-cultural validation and demonstrated reliability in many populations. The survey is accessible in the public domain and can be used free of charge. The score is indicative of three categories: low, normal, and high resilience, with scores of 1:2.99, 3:4.30, and 4.31:5, respectively [30]. The BRS was assessed in four samples, resulting in Cronbach’s alpha values ranging from 0.80 to 0.91 [30].

Data analysis plan

SPSS program version 26 was used to conduct the analysis [34]. The majority of variables were categorical, such as sex, age, academic grade, and financial status, and summarized as frequencies and percentages. The present study employed a binary logistic regression to detect possible factors contributing to both stress and resilience. The independent variables involved in regression were all the sociodemographic variables and FAS. Dependent variables in regression, including stress and resilience, were grouped into stressed/non-stressed and low resilience/high-normal resilience, respectively. Furthermore, a Pearson correlation was conducted to investigate the relationship between Kessler stress and BRS scores. A P value < 0.05 was considered statistically significant.

Ethical consideration

The study protocol was done in accordance with the Helsinki Declaration and approved by the research ethical committee of Assiut University. The IRB local approval number was (04-2023-300205). All participants had to agree before filling out the questionnaire on a consent form stating they met the eligibility criteria and were willing to proceed with the questionnaire.

Results

Sociodemographic characteristics and FAS

All sociodemographic characteristics are summarized in Table 1. A total of 2465 responses were collected from the seven included universities. About 59% of students were in their academic stage. The gender proportions were almost equal, with 50.7% of students being female. Students less than twenty years old constituted 47.2% of the sample. The majority (73.5%) reported living with their family or friends. Besides, the majority of the students resided in the city (59.8%). The students who had financial support (86.2%) were roughly six times those who did not. Regarding time management, the students exhibited a major tendency towards increasing hours spent on social media (more than two hours = 78.5%). On the other hand, most of the students lied in the lowest-studying-hours category of six hours or less (76.6%). Approximately 57% of students attained an academic grade of > 85% in their last semester. The preponderance of students did not report a history of having any chronic diseases, with a percentage of 90.8%. Moreover, a minority of students (5.9%) were smokers. The family affluence scale (FAS) score was normally distributed, with a mean (SD) of 6 (2.2).

Stress and resilience

The mean (SD) for stress and resilience scores were 29.4 (8.7) and 2.9 (0.8), respectively. The stress and resilience prevalences are shown in Figs. 1 and 2. Prevalence of stress was 86.45% whereas, the prevalence of low resilience was 49.94%. Prevalences of categories of stress and resilience are represented in Table 2. Mild, moderate, and severe stress were detected among 18.1%, 19.4%, and 48.9% of the students, respectively.

Pearson’s correlation showed a statistically significant moderate negative correlation between stress and resilience scores, with a correlation coefficient of -0.511 and a P-value of 0.000. The scatterplot of stress and resilience is shown in Fig. 3.

Table 1 Sociodemographic characteristics of Egyptian medical students
Table 2 Prevalence of stress and resilience among Egyptian medical students

Factors associated with stress and resilience

Table 3 revealed that stress among medical students was significantly associated with gender, hours of studying, social media hours, living with family or friends, dropping out of medicine thoughts, suicidal thoughts, and resilience in the logistic regression analysis. Regarding sex, females were significantly at risk of stress compared to males (Adjusted odds ratio (AOR) = 2.157, confidence interval (CI): 1.647–2.824, P = 0.000). Studying for 6 to 9 h and more than 9 h were significantly associated with stress (AOR = 1.824, CI: 1.255–2.652, P = 0.002) and (AOR = 2.235, CI: 1.202–4.153, P = 0.011), respectively, compared to studying for less than 6 h. Spending more than 2 h on social media was significantly associated with stress (AOR = 1.610, CI: 1.214–2.137, P = 0.001). Furthermore, living with family or friends was significantly less associated with stress compared to living alone (AOR = 0.536, CI: 0.298–0.966, P = 0.038). Having thoughts about dropping out of medicine either sometimes or always were positively associated with stress (AOR = 2.288, CI: 1.628–3.1216) and (AOR = 3.218, CI: 1.681–6.161), respectively, compared to never/rarely having them. Both were statistically significant (P = 0.000). Having suicidal thoughts either sometimes or always was a significant risk factors for stress (AOR = 6.685, CI: 2.691–16.607, P = 0.000) and (AOR = 3.290, CI: 1.010–10.716, P = 0.048), respectively, compared to never/rarely having them. Moreover, medical students with low resilience were significantly more liable to stress (AOR = 3.667, CI: 2.709–4.965, P = 0.000).

Table 4 revealed that resilience among Egyptian medical students was significantly associated with gender, hours of studying, social media hours, sleeping hours, dropping out of medicine thoughts, suicidal thoughts, stress, and FAS in the logistic regression analysis. Concerning sex, being of the female gender was positively associated with low resilience (AOR = 1.521, CI: 1.278–1.810, P = 0.000). Furthermore, studying for 6 to 9 h was significantly associated with higher resilience compared to studying for less than 6 h (AOR = 0.793, CI: 0.629–0.999, P = 0.049). Spending more than 2 h on social media was significantly associated with low resilience (AOR = 1.251, CI: 1.012–1.547, P = 0.038). Furthermore, sleeping for 6 to 9 h was positively associated with higher resilience compared to sleeping more than 9 h (AOR = 0.523, CI: 0.603–0.951, P = 0.017). Having thoughts about dropping out of medicine either sometimes or always was significantly associated with lower resilience (AOR = 1.468, CI: 1.207–1.787, P = 0.000) and (AOR = 1.413, CI: 1.067–1.871, P = 0.016), respectively, compared to never/rarely having them. Having suicidal thoughts either sometimes or always were significant risk factors for lower resilience (AOR = 2.025, CI: 1.558–2.632) and (AOR = 2.066, CI: 1.416–3.015), respectively, compared to never/rarely having them. Being stressed was strongly associated with lower resilience (AOR = 3.709, CI: 2.746–5.009, P = 0.000). Regarding the family affluence scale, a higher scale score indicating high socioeconomic status was significantly protective to reduced resilience (AOR = 0.943, CI: 0.905–0.982, P = 0.004).

Table 3 Factors associated with stress among Egyptian medical students
Table 4 Factors associated with low resilience among Egyptian medical students

Discussion

Stress prevalence and associated factors

Psychological health among medical students in Egypt lacks thorough investigation and research in many aspects, emphasizing the present study’s importance. The present study showed a high prevalence of stress among medical students (86.5%); the majority of them fall into the severe stress category (48.9%). Studies conducted in other regions of the Middle East were consistent with our study regarding the magnitude of stress; a study conducted in Saudi Arabia by Atta et al., using the K10 scale as our study, revealed a stress prevalence of 85.5% [25]. However, a study conducted in Peru by Valladares-Garrido et al. revealed a stress prevalence of 62.7% [35]. The slight variability in the prevalence of stress, despite the agreement on stress magnitude, is multifaceted. For example, different scales used in stress assessment may introduce different prevalence estimations. Besides, different cultures can significantly influence perceiving and coping with stress. For instance, a prior study found out Japanese undergraduates were more likely than European Canadians to have psychological and physical stress symptoms in interpersonal situations. However, there was no difference in the risk of having either type of symptom in non-interpersonal scenarios [8]. This logic could interpret some of the differences between the stress prevalence in our study and that of Valladares-Garrido et al [35]. In comparison to existing studies in the region, stress prevalence of 86.45% in this study lies notably between the reported rates by Fawzy et al. (59.9%) [22] and Ebrahim et al. (93.2%) [23]. In the present study, the prevalence appears higher than that reported by Fawzy et al. and slightly lower than that observed by Ebrahim et al. Several potential reasons could account for these discrepancies. Variations in sample demographics, such as age, gender distribution, and socio-economic status, may influence stress levels. Methodological differences, including variations in assessment tools, could contribute to divergent prevalence rates. Furthermore, the two aforementioned studies only included students from a single center, potentially limiting the generalizability of their findings.

The present study showed that being female was a significant risk factor for stress (AOR = 2.157), which is consistent with Fawzy et al. [22] and Atta et al. [25] findings. According to the American Psychological Association, women report higher stress levels than men and are more likely to experience physical and emotional symptoms of stress [36]. Many theories explain females’ dominance for both stress and depression compared to males, including gonadal hormones. Female sex hormones tend to attenuate the Hypothalamic-Pituitary-Adrenal Axis and thus minimize and delay cortisol action in the brain, resulting in less stress containment [37]. Other psychosocial factors like role stress, victimization, and sex-specific socialization have been discussed [38].

Academic grades were not significantly associated with stress in our regression analysis, which is similar to Fawzy et al.‘s findings. Nevertheless, we believe that academic performance is one of the serious factors related to stress because joining post-graduate training and residency in prestigious university programs in Egypt is only guaranteed by high grades. Besides grade, a prior study supported our results concerning study hours, in which an increasing number of study hours showed a significant association with stress development [22]. Another study showed a positive correlation between stress and the number of study hours [39]. All these findings could be attributed to decreased social activities and/or sleeping hours. Therefore, a complex sequela, including disturbances in cortisol levels, circadian rhythm, and metabolism, follows [40].

This study found students who reported living with their family or friends exhibited less liability to be stressed compared to being alone. Loneliness in the long term not only causes both acute and chronic stress, but also impairs immunity [41, 42]. Moreover, more than two hours spent on social media was a significant risk factor for stress, according to our results. Although previous studies showed an association between social media and mood fluctuations [43, 44], which is in line with ours, social media is still debatable as it is nowadays considered a paramount education and experience exchange platform.

Having suicidal thoughts was a significant risk factor for stress development in this study. This is in line with a previous finding revealed that mental distress was the most important factor associated with suicidal ideation [45]. Medical students tend to have suicidal ideation and attempts, estimated to be three times higher than that for the age-matched general population [46]. Similarly, having thoughts about leaving medicine exhibited a statistically significant association with stress. In fact, it was documented in a study in Switzerland that one in twelve physicians showed increased burnout, and every sixth one thought of leaving medicine [47]. Although Switzerland is a high-income country, unlike Egypt, an effort-reward imbalance strongly correlated with leaving thoughts. Surprisingly, the family affluence scale was statistically insignificant factor of stress in our study. This agrees with a study in Iraq that showed a statistically insignificant association between monthly income and level of stress [48].

Resilience prevalence and associated factors

Our study showed low and high resilience prevalences of about 49.9% and 3.2%, respectively. In accordance with our results, a study conducted in Oman revealed similar prevalences of low and high resilience of 45.3% and 5.5%, respectively [49]. Basically, resilience research has primarily focused on Western-based outcomes, and there is a lack of cross-cultural validation of findings and rigorous investigations associated with resilience in non-western cultures [50]. Resilience is a dynamic and multidimensional construct that is influenced, mainly since birth, by a child’s environment and the interaction between individuals and their social ecologies. For instance, a study explored the effect of a culture- and gender-specific intervention program on the resilience of African American girls. Eventually, the results indicated that culture significantly correlated positively with resilience [51]. According to another study, strong gender and ethnic identities are directly associated with increased resilience [52, 53]. Additionally, spiritual practice, life satisfaction, and coping mechanisms play a role in resilience development. Therefore, resilience is a specific trait for each population. Since Egyptian medical students’ resilience assessment is unprecedented in any previous study, comparisons with Western cultures might not be fruitful.

Our results showed that gender exhibited a statistically significant relationship with low resilience, whereas females were more liable to low resilience. This contradicts a previous study in Oman, which showed no significant difference in the level of resilience across genders [49]. However, it has been shown that males are more resilient than females in general [54,55,56]. According to our results, females are 1.5 times more vulnerable to low resilience compared to males. Besides gender, our study revealed that sleeping six to nine hours is protective against low resilience, which agrees with a previous study [49].

Suicidal ideation was a significant risk factor for developing low resilience in our surveyed students. Literature has supported, on many occasions, the buffering ability of resilience against suicidal ideation and attempts, especially among those with depression or anxiety [57, 58].

Since the COVID-19 pandemic, many students have increased their screen time on social media apps, even after the pandemic wanes. A study disclosed that reduced use of digital technology in general was a significant factor in increasing resilience against suicide [59]. Regarding our results, we found that spending more than two hours on social media had an increased risk factor for low resilience, suggesting coherence with the aforementioned literature. Moreover, the family affluence scale was a significant protective variable for low resilience in our study. It is intuitive to presume that a high socioeconomic status will strengthen resilience and a sense of well-being. However, previous studies were controversial and contradictory regarding the socioeconomic effect on resilience [20, 60, 61]. This could be attributed to different financial levels among countries and even variable monthly incomes between other geographical areas in the same country.

Resilience has been reported to be higher in non-medical students compared to medical students, who had significantly higher psychological distress [62]. Our results succeeded in demonstrating that students with low resilience were significantly more likely to develop stress and vice versa. Our study, in agreement with other studies [49], showed a negative relationship between stress and resilience. However, determining whether resilience or stress is the cause of the other is unapproachable, considering our study design. Resilience, a pivotal trait, operates as a psychological stronghold against other disorders. Not only is stress correlated with resilience, as shown in our study, but depression as well. A previous study confirmed that psychological resilience was significantly negatively correlated with depression, anxiety, and somatization symptoms [63]. The interplay between resilience and psychological disorders like stress and depression is dynamic; people vulnerable to stress are more likely to develop depression and anxiety [64,65,66,67]. Consequently, stress resilience and depression resilience are highly associated, and individuals with high stress resilience are more likely to be exempted from depression [68,69,70,71].

Strengths, limitations, and recommendations

Our study is the first to assess resilience among medical students in Egypt and investigate its associated factors like stress and other sociodemographic characteristics, including academic and non-academic stressors. Moreover, our study design is multi-centric, comprising different universities from upper and lower Egypt, in an attempt to provide generalizability and reliability to the results. We took the first initiative to investigate the effects of academic/clinical stages on students’ stress and resilience.

However, because limitations are inevitable for any study, our study also had ones. Our cross-sectional design captures data at a single point in time. Accordingly, it was impossible to establish a temporal relationship between stress, resilience, and associated factors. As stress and resilience are dynamic processes that can change over time in response to various factors, cross-sectional studies provide only a snapshot of these processes. Therefore, it’s unclear whether stress leads to lower resilience or vice versa. While questionnaires are efficient, they might lack the depth and nuance that qualitative methods, such as interviews, can provide. Accordingly, questionnaires lack the ability to follow up on ideas and clarify issues. Another drawback of the questionnaires is the potential for recall bias, where participants may have difficulty in recalling past experiences or emotions, affecting the reliability of reported stress levels and resilience factors. An additional critical bias is the social desirability bias, where participants may provide responses that they perceive as socially desirable rather than reflecting their authentic experiences or feelings, particularly when reporting on sensitive topics like stress and resilience. Furthermore, this study did not consider personality traits or baseline information about the mental status of medical students at the time of enrollment in medical schools.

Therefore, we recommend that future studies focus on: (1) conducting prospective longitudinal and cohort studies to determine the temporal sequence of the variables so they can monitor people longitudinally and determine the chronological connections among stress, resilience, and related factors. This method will empower researchers to gain deeper insights into the dynamics and interplay of these variables over time, facilitating more robust causal conclusions; (2) comparing medical to non-medical students, especially in the Middle East and Egypt; (3) mixed-methods research that could be beneficial, incorporating qualitative data collection to complement the quantitative findings, like doing interviews with students besides questionnaires. Hence, they can provide participants with the opportunity to elaborate on their responses, allowing for a more comprehensive analysis; (4) implementing diverse sampling strategies to ensure the inclusion of a wide range of participants, including those from different demographic backgrounds, socioeconomic statuses, and cultural contexts that may shape individuals’ experiences of stress and resilience. This will enhance the generalizability of findings; and (5) furthermore, our study findings propose that universities should take a proactive approach by developing and implementing comprehensive resilience-building programs tailored to the unique needs of their student populations. By developing and implementing resilience-building programs that encompass stress management workshops, counseling services, and integration of resilience-building components into the medical curriculum, universities can play a pivotal role in supporting the mental health and well-being of their students and fostering a resilient academic community. Universities can also review and adjust academic policies and practices to reduce excessive academic pressure on students. Moreover, considering mindfulness practices, fitness facilities, recreational activities, and nutrition education can help students develop resilience skills.

Fig. 1
figure 1

Prevalence of stress among Egyptian medical students

Fig. 2
figure 2

Prevalence of low resilience among Egyptian medical students

Fig. 3
figure 3

Correlation between stress and resilience among Egyptian medical students

Conclusion

Stress and resilience were thoroughly investigated in seven Egyptian public universities from all over Egypt. The majority of the students were stressed and had low resilience. Being a female, living alone, spending long hours on social media, and thinking of suicide or leaving medicine were strong factors associated with being stressed and having low resilience. Students with low resilience were more likely to be stressed, and vice versa. Academic grades were not associated with the level of stress. Interestingly, high socioeconomic status showed a strong relationship with high resilience; nonetheless, it was not associated with stress. Finally, we recommend further investigations regarding resilience and its associated factors. We also encourage the universities to invest time and effort in developing those factors for a better and healthier educational environment.

Data availability

All data generated or analyzed during this study are included in this published article.

Abbreviations

FAS:

Family Affluence Scale

K10:

Kessler Psychological Distress Scale

BRS:

Brief Resilience Scale

AOR:

Adjusted odds ratio

CI:

Confidence interval

References

  1. Jahrami H, AlKaabi J, Trabelsi K, Pandi-Perumal SR, Saif Z, Seeman MV, et al. The worldwide prevalence of self-reported psychological and behavioral symptoms in medical students: an umbrella review and meta-analysis of meta-analyses. J Psychosom Res. 2023;173:111479.

    Article  PubMed  Google Scholar 

  2. Peng P, Hao Y, Liu Y, Chen S, Wang Y, Yang Q, et al. The prevalence and risk factors of mental problems in medical students during COVID-19 pandemic: a systematic review and meta-analysis. J Affect Disord. 2023;321:167–81.

    Article  PubMed  Google Scholar 

  3. Waqas A, Khan S, Sharif W, Khalid U, Ali A. Association of academic stress with sleeping difficulties in medical students of a Pakistani medical school: a cross sectional survey. PeerJ. 2015;3:e840.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Taylor G, McNeill A, Girling A, Farley A, Lindson-Hawley N, Aveyard P. Change in mental health after smoking cessation: systematic review and meta-analysis. BMJ. 2014;348:g1151.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Shah M, Hasan S, Malik S, Sreeramareddy CT. Perceived stress, sources and severity of stress among medical undergraduates in a Pakistani medical school. BMC Med Educ. 2010;10:2.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Naidoo SS, Van Wyk J, Higgins-Opitz SB, Moodley K. An evaluation of stress in medical students at a South African university. South Afr Family Pract. 2014;56(5):258–62.

    Article  Google Scholar 

  7. Melaku L, Mossie A, Negash A. Stress among medical students and its Association with Substance Use and Academic Performance. J Biomed Educ. 2015;2015:1–9.

    Article  Google Scholar 

  8. Lee H, Masuda T, Ishii K, Yasuda Y, Ohtsubo Y. Cultural differences in the perception of daily stress between European Canadian and Japanese undergraduate students. Pers Soc Psychol Bull. 2023;49(4):571–84.

    Article  PubMed  Google Scholar 

  9. Al-Shahrani MM, Alasmri BS, Al-Shahrani RM, Al-Moalwi NM, Al Qahtani AA, Siddiqui AF. The prevalence and Associated Factors of Academic Stress among medical students of King Khalid University: an Analytical Cross-sectional Study. Healthc (Basel). 2023;11(14).

  10. Zhou AY, Panagioti M, Esmail A, Agius R, Van Tongeren M, Bower P. Factors Associated with burnout and stress in Trainee Physicians: a systematic review and Meta-analysis. JAMA Netw Open. 2020;3(8):e2013761.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Shapiro SL, Shapiro DE, Schwartz GE. Stress management in medical education: a review of the literature. Acad Med. 2000;75(7):748–59.

    Article  CAS  PubMed  Google Scholar 

  12. Seo C, Di Carlo C, Dong SX, Fournier K, Haykal K-A. Risk factors for suicidal ideation and suicide attempt among medical students: a meta-analysis. PLoS ONE. 2021;16(12):e0261785.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Lin YK, Lin C-D, Lin BY-J, Chen D-Y. Medical students’ resilience: a protective role on stress and quality of life in clerkship. BMC Med Educ. 2019;19(1):473.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Russo SJ, Murrough JW, Han M-H, Charney DS, Nestler EJ. Neurobiology of resilience. Nat Neurosci. 2012;15(11):1475–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Cooke GPE, Doust JA, Steele MC. A survey of resilience, burnout, and tolerance of uncertainty in Australian general practice registrars. BMC Med Educ. 2013;13:2.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Ahern NR, Norris AE. Examining factors that increase and decrease stress in adolescent community college students. J Pediatr Nurs. 2011;26(6):530–40.

    Article  PubMed  Google Scholar 

  17. Epstein RM, Krasner MS. Physician resilience: what it means, why it matters, and how to promote it. Acad Med. 2013;88(3):301–3.

    Article  PubMed  Google Scholar 

  18. Lee FJ, Brown JB, Stewart M. Exploring family physician stress: helpful strategies. Can Fam Physician. 2009;55(3):288–e2896.

    PubMed  PubMed Central  Google Scholar 

  19. Folkman S. Stress: appraisal and coping. In: Gellman MD, Turner JR, editors. Encyclopedia of behavioral medicine. New York, NY: Springer New York; 2013. pp. 1913–5.

    Chapter  Google Scholar 

  20. Golui P, Roy S, Dey I, Burman J, Sembiah S. Resilience and its correlates among medical students in the eastern part of India during the coronavirus disease 2019 (COVID-19) pandemic. J Family Community Med. 2022;29(3):212–6.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Schwitters MT, Kiesewetter J. Resilience status of dental students and derived training needs and interventions to promote resilience. GMS J Med Educ. 2023;40(6):Doc67.

    PubMed  PubMed Central  Google Scholar 

  22. Fawzy M, Hamed SA. Prevalence of psychological stress, depression and anxiety among medical students in Egypt. Psychiatry Res. 2017;255:186–94.

    Article  PubMed  Google Scholar 

  23. Ebrahim OS, Sayed HA, Rabei S, Hegazy N. Perceived stress and anxiety among medical students at Helwan University: a cross-sectional study. J Public Health Res. 2024;13(1):22799036241227892.

    Article  Google Scholar 

  24. OpenEpi. Menu [Internet]. [cited 2023 Dec 27]. https://www.openepi.com/Menu/OE_Menu.htm.

  25. Atta IS, Almilaibary A. The prevalence of stress among medical students studying an integrative curriculum during the COVID-19 pandemic. Adv Med Educ Pract. 2022;13:35–45.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Boyce W, Torsheim T, Currie C, Zambon A. The Family Affluence Scale as a measure of National Wealth: validation of an adolescent self-report measure. Soc Indic Res. 2006;78(3):473–87.

    Article  Google Scholar 

  27. Torsheim T, Cavallo F, Levin KA, Schnohr C, Mazur J, Niclasen B, et al. Psychometric validation of the revised family affluence scale: a latent variable approach. Child Indic Res. 2016;9(3):771–84.

    Article  PubMed  Google Scholar 

  28. Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SLT, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med. 2002;32(6):959–76.

    Article  CAS  PubMed  Google Scholar 

  29. Kessler RC, Barker PR, Colpe LJ, Epstein JF, Gfroerer JC, Hiripi E, et al. Screening for serious mental illness in the general population. Arch Gen Psychiatry. 2003;60(2):184–9.

    Article  PubMed  Google Scholar 

  30. Smith BW, Dalen J, Wiggins K, Tooley E, Christopher P, Bernard J. The brief resilience scale: assessing the ability to bounce back. Int J Behav Med. 2008;15(3):194–200.

    Article  PubMed  Google Scholar 

  31. Currie CE, Elton RA, Todd J, Platt S. Indicators of socioeconomic status for adolescents: the WHO Health Behaviour in School-aged children Survey. Health Educ Res. 1997;12(3):385–97.

    Article  CAS  PubMed  Google Scholar 

  32. Corell M, Chen Y, Friberg P, Petzold M, Löfstedt P. Does the family affluence scale reflect actual parental earned income, level of education and occupational status? A validation study using register data in Sweden. BMC Public Health. 2021;21(1):1995.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Victorian Population Health Survey. Melbourne: Department of Human Services, Victoria; 2001.

  34. IBM C. Released 2019. IBM SPSS statistics for Windows, Version 26.0. Armonk, NY: IBM Corp.

  35. Valladares-Garrido D, Quiroga-Castañeda PP, Berrios-Villegas I, Zila-Velasque JP, Anchay-Zuloeta C, Chumán-Sánchez M, et al. Depression, anxiety, and stress in medical students in Peru: a cross-sectional study. Front Psychiatry. 2023;14:1268872.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Women. say they’re stressed, misunderstood, and alone [Internet]. [cited 2024 Jan 10]. https://www.apa.org/topics/stress/women-stress.

  37. Verma R, Balhara YPS, Gupta CS. Gender differences in stress response: role of developmental and biological determinants. Ind Psychiatry J. 2011;20(1):4–10.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Noble RE. Depression in women. Metab Clin Exp. 2005;54(5 Suppl 1):49–52.

    Article  CAS  PubMed  Google Scholar 

  39. Melguizo-Ibáñez E, González-Valero G, Ubago-Jiménez JL, Puertas-Molero P. Resilience, stress, and burnout syndrome according to study hours in Spanish public education school teacher applicants: an explanatory model as a function of weekly physical activity practice time. Behav Sci (Basel). 2022;12(9).

  40. Reddy S, Reddy V, Sharma S, Physiology. Circadian rhythm. StatPearls. Treasure Island (FL): StatPearls Publishing; 2023.

    Google Scholar 

  41. West DA, Kellner R, Moore-West M. The effects of loneliness: a review of the literature. Compr Psychiatry. 1986;27(4):351–63.

    Article  CAS  PubMed  Google Scholar 

  42. Cacioppo JT, Ernst JM, Burleson MH, McClintock MK, Malarkey WB, Hawkley LC, et al. Lonely traits and concomitant physiological processes: the MacArthur social neuroscience studies. Int J Psychophysiol. 2000;35(2–3):143–54.

    Article  CAS  PubMed  Google Scholar 

  43. Gupta A, Jagzape A, Kumar M. Social media effects among freshman medical students during COVID-19 lock-down: an online mixed research. J Educ Health Promot. 2021;10:55.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Mahevish R, Khan A, Mahmood HR, Qazi S, Fakhoury HMA, Tamim H. The impact of Social Media on the physical and Mental Well-Being of Medical Students during the COVID-19 pandemic. J Epidemiol Glob Health. 2023;13(4):902–10.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Tyssen R, Vaglum P, Grønvold NT, Ekeberg O. Suicidal ideation among medical students and young physicians: a nationwide and prospective study of prevalence and predictors. J Affect Disord. 2001;64(1):69–79.

    Article  CAS  PubMed  Google Scholar 

  46. Van Niekerk L, Scribante L, Raubenheimer PJ. Suicidal ideation and attempt among South African medical students. S Afr Med J. 2012;102(6 Pt 2):372–3.

    Article  CAS  PubMed  Google Scholar 

  47. Hämmig O. Explaining burnout and the intention to leave the profession among health professionals - a cross-sectional study in a hospital setting in Switzerland. BMC Health Serv Res. 2018;18(1):785.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Shawi AFA, Abdullateef AN, Khedher MA, Rejab MS, Khaleel RN. Assessing stress among medical students in Anbar Governorate, Iraq: a cross-sectional study. Pan Afr Med J. 2018;31:96.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Al Omari O, Al Yahyaei A, Wynaden D, Damra J, Aljezawi M, Al Qaderi M, et al. Correlates of resilience among university students in Oman: a cross-sectional study. BMC Psychol. 2023;11(1):2.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Ungar M. Resilience across cultures. Br J Soc Work. 2006;38(2):218–35.

    Article  Google Scholar 

  51. Belgrave FZ, Chase-Vaughn G, Gray F, Addison JD, Cherry VR. The effectiveness of a Cultureand gender-specific intervention for increasing resiliency among African American preadolescent females. J Black Psychol. 2000;26(2):133–47.

    Article  Google Scholar 

  52. Clauss-Ehlers CS. Sociocultural factors, resilience, and coping: support for a culturally sensitive measure of resilience. J Appl Dev Psychol. 2008;29(3):197–212.

    Article  Google Scholar 

  53. Clauss-Ehlers CS. Cultural Resilience. In: Clauss-Ehlers CS, editor. Encyclopedia of Cross-cultural School psychology. Boston, MA: Springer US; 2010. pp. 324–6.

    Chapter  Google Scholar 

  54. Luibl L, Traversari J, Paulsen F, Scholz M, Burger P. Resilience and sense of coherence in first year medical students - a cross-sectional study. BMC Med Educ. 2021;21(1):142.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Park S, Porter M, Park K, Bielick L, Rooks BJ, Mainous AG, et al. What are the characteristics of Fourth-Year Medical Students with higher levels of Resilience? PRiMER. 2019;3:22.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Boardman JD, Blalock CL, Button TMM. Sex differences in the heritability of resilience. Twin Res Hum Genet. 2008;11(1):12–27.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Kim SM, Kim HR, Min KJ, Yoo S-K, Shin Y-C, Kim E-J, et al. Resilience as a protective factor for suicidal ideation among Korean workers. Psychiatry Investig. 2020;17(2):147–56.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Seo EH, Yang H-J, Kim S-G, Yoon H-J. Ego-resiliency moderates the risk of depression and social anxiety symptoms on suicidal ideation in medical students. Ann Gen Psychiatry. 2022;21(1):19.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Han J, Wong I, Christensen H, Batterham PJ. Resilience to suicidal behavior in young adults: a cross-sectional study. Sci Rep. 2022;12(1):11419.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. de Oliveira ACP, Machado APG, Aranha RN. Identification of factors associated with resilience in medical students through a cross-sectional census. BMJ Open. 2017;7(11):e017189.

    Article  PubMed  Google Scholar 

  61. Aboalshamat KT, Alsiyud AO, Al-Sayed RA, Alreddadi RS, Faqiehi SS, Almehmadi SA. The relationship between resilience, happiness, and life satisfaction in dental and medical students in Jeddah, Saudi Arabia. Niger J Clin Pract. 2018;21(8):1038–43.

    Article  CAS  PubMed  Google Scholar 

  62. Noreen A, Iqbal N, Hassan B, Ali SA-E-Z. Relationship between psychological distress, quality of life and resilience among medical and non-medical students. J Pak Med Assoc. 2021;71(9):2181–5.

    PubMed  Google Scholar 

  63. Ran L, Wang W, Ai M, Kong Y, Chen J, Kuang L. Psychological resilience, depression, anxiety, and somatization symptoms in response to COVID-19: a study of the general population in China at the peak of its epidemic. Soc Sci Med. 2020;262:113261.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Bogdan R, Nikolova YS, Pizzagalli DA. Neurogenetics of depression: a focus on reward processing and stress sensitivity. Neurobiol Dis. 2013;52:12–23.

    Article  PubMed  Google Scholar 

  65. Andersen SL, Teicher MH. Stress, sensitive periods and maturational events in adolescent depression. Trends Neurosci. 2008;31(4):183–91.

    Article  CAS  PubMed  Google Scholar 

  66. Slavich GM, Irwin MR. From stress to inflammation and major depressive disorder: a social signal transduction theory of depression. Psychol Bull. 2014;140(3):774–815.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Wilson KA, Hayward C. A prospective evaluation of agoraphobia and depression symptoms following panic attacks in a community sample of adolescents. J Anxiety Disord. 2005;19(1):87–103.

    Article  PubMed  Google Scholar 

  68. Goldstein AL, Faulkner B, Wekerle C. The relationship among internal resilience, smoking, alcohol use, and depression symptoms in emerging adults transitioning out of child welfare. Child Abuse Negl. 2013;37(1):22–32.

    Article  PubMed  Google Scholar 

  69. Elisei S, Sciarma T, Verdolini N, Anastasi S. Resilience and depressive disorders. Psychiatr Danub. 2013;25(Suppl 2):S263–7.

    PubMed  Google Scholar 

  70. Min J-A, Lee N-B, Lee C-U, Lee C, Chae J-H. Low trait anxiety, high resilience, and their interaction as possible predictors for treatment response in patients with depression. J Affect Disord. 2012;137(1–3):61–9.

    Article  PubMed  Google Scholar 

  71. Kesebir S, Gündoğar D, Küçüksubaşı Y, Tatlıdil Yaylacı E. The relation between affective temperament and resilience in depression: a controlled study. J Affect Disord. 2013;148(2–3):352–6.

    Article  PubMed  Google Scholar 

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Acknowledgements

Special thanks to Dr. Mohamed H. Nafady and Negida Research Academy, Arlington, Massachusetts for their invaluable assistance with English editing, enhancing the overall clarity of the document. We would like to express our sincere appreciation to the collaborators who played a pivotal role in the successful gathering of data for this study. Our study collaborators involved: Tarek A. Hussein, Youssef E. Abdelmegeed, Mohamed E.Haseeb, Mohamed Nasser, Muhammad Khalaf, Taha Mahmoud, Abdullah Gamal, Mahmoud Hossam, Elsaied Shalaby, Mohamed Khaleel, Ahmed Fikry Mohamed, Ahmed Samy Shabib, Santi Hossameldin Farghali, Rana Elsayed Abdo, AbdelRahman Atef ElSersawy.

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Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB).

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Authors

Contributions

H.E.M, Z.B, and D.M.A contributed to the study’s conception and design. H.E.M, Z.B, Z.G.A, B.E, H.E.A, and T.E prepared the materials and collected the data. H.E.M, Z.B, and Z.G.A analyzed and interpreted the data. H.E.M, Z.B, Z.G.A, B.E, H.E.A, and T.E drafted the initial draft of the manuscript. H.E.M, Z.B, and D.M.A revised and prepared the manuscript for submission. All authors provided feedback on earlier drafts of the manuscript. The final manuscript was read and approved by all authors.

Corresponding author

Correspondence to Doaa Mazen Abdel-Salam.

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Ethics approval and consent to participate

The study protocol was in accordance with the Helsinki Declaration and was approved by the research ethical committee of Assiut University. The IRB local approval number was 04-2023-300205. All participants had to agree before filling out the survey on a consent form stating they met the eligibility criteria and were willing to proceed with the questionnaire. Students who were interested in participating in the present study gave their informed consent.

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Not applicable.

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The authors declare no competing interests.

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Mohammed, H.E., Bady, Z., Abdelhamid, Z.G. et al. Factors influencing stress and resilience among Egyptian medical students: a multi-centric cross-sectional study. BMC Psychiatry 24, 393 (2024). https://doi.org/10.1186/s12888-024-05820-1

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