Background
Since the official announcement from the World Health Organization (WHO) of the coronavirus disease 2019 (COVID-19) pandemic, the sanitary Crisis has swept the world for more than two years and is still from its conclusion [1‐3]. The emergency of Omicron variants, currently spreading in China and worldwide, has sparked a new wave of the COVID-19 pandemic [4, 5]. The high infectivity and persistence of the pandemic may trigger various mental issues, such as anxiety, fear, and posttraumatic stress disorder (PTSD) [6, 7]. PTSD is a psychological response to traumatic events, including re-experiencing, avoiding, negative changes in emotions, and hyperarousal [8, 9]. Previous studies [10‐12] have shown that both direct and indirect trauma exposure may trigger PTSD. During the COVID-19, healthcare workers, who directly exposed to traumatic events, have been reported a high prevalence of PTSD for treating and caring for COVID-19 patients and witnessing patients suffering and death [13, 14]. College students have shown some degrees of PTSD for experiencing indirect trauma exposure to the epidemic [15, 16]. One study [17] has reported that 44.5% of college nursing students who were home-quarantined and online education had PTSD during the first wave of the pandemic.
The new wave of the COVID-19 pandemic was also a public health emergency that has had an extremely significant impact on the Chinese education system [18], as the government has imposed strict control measures to require college students to lockdown and stay in their dorms to maintain social distancing to prevent the spread of the virus in high-risk areas. Long-term isolation and uncertainty easily worsen their psychological conditions [15, 19]. The COVID-19 and quarantine easily lead to a range of consequences for college students: sudden school confinement, increasing time of access to social media and excessive exposure to COVID-19 news, chronic and acute stress, fear of infection, and worrying about their work and economic future [15, 17, 20, 21]. All of these indirect trauma exposures to the epidemic may trigger PTSD [15, 17, 20]. Compared with adults, adolescents are a more vulnerable group [22].
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Due to new cases and variants ebb and flow during COVID-19, the world needs amounts of nurses and demands them to be healthier, more competent, and more motivated than ever. However, high incidences of mental issues among nursing students seem to widen the gap between the increasing demand for high-quality care and the prospective reservoir of qualified nurses. PTSD may be significantly associated with decreased memory and learning abilities, which ultimately lead to poor academic performance in college [22]. Moreover, PTSD is more likely to be a group phenomenon in the context of the pandemic. Therefore, it is crucial for educational administrators and nursing students to place a value on PTSD and its underlying mechanism.
Social support can buffer the negative impacts of main stressors on physical health [23]. The cognitive model of PTSD [24] points out that social support following a traumatic event may impact victims to make sense of the event and prevent PTSD from further development. A meta-analysis [25] has corroborated a correlation between social support and PTSD in young people. Kumpfer’s transactional model of resilience [26] offers a theoretical framework for the present study as follows. External environmental factors such as social support interact to buffer or exacerbate negative impact; stressors or challenges activate the resilience process; with the help of resiliency factors, one person bounces back with resilient reintegration. On the contrary, the individual will be trapped in adversity, leading to maladjustment and a series of psychological and behavioral problems. When the individual experiences a traumatic event, the fear is triggered because of the worldview affected by anxiety. The pandemic nature of COVID-19 has caused higher fears worldwide than ever, and its immediate consequences have given rise to many unprecedented challenges to the education systems [20, 27, 28]. Previous studies [15, 29] have shown that fear is the most significant risk factor of PTSD during COVID-19. Moreover, the etiological theory of PTSD [30] points out that social support as a protective factor affects PTSD by influencing people’s traumatic cognitive assessment, emotional state, and coping strategies. So social support can affect PTSD by influencing fear which is an emotional state following traumatic cognitive assessment. Kumpfer’s transactional model of resilience [26] proposes that social support affects traumatic stress adjustment by influencing resilience. Therefore, when facing the epidemic, students may undergo multiple pressures and feelings such as fear, and some maladjusted students may develop psychological problems such as PTSD, and social support can affect PTSD by affecting individual resilience and fear.
After widely literature review [17, 27, 29, 31‐33], there is a lack of research on the relationships between social support, resilience, fear of COVID-19, and PTSD among nursing students, and it was well worth an exploration to understand PTSD and its underlying mechanism. To fill the knowledge gap, our study aimed to investigate the relationship between social support, resilience, fear of COVID-19, and PTSD in nursing students, to provide practical guidance for nursing students’ psychological intervention.
Accordingly, we hypothesized as follows: (1) social support is a negative correlation with PTSD. (2) resilience plays a mediating role between social support and PTSD. (3) fear of COVID-19 plays a mediating role between social support and PTSD. (4) resilience and fear of COVID-19 play a chain mediating role between social support and PTSD (Fig. 1).
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Fig. 1
Hypothetical model of the relationships between social support, resilience, fear of COVID-19 and
PTSD
Note: PTSD: post-traumatic stress disorder; COVID-19: coronavirus disease 2019
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Methods
Participants and procedures
The target population encompassed nursing students from a medical college in Anhui province. According to the criterion suggested by Kendall (10 to 20-fold the number of items and expanded at least 10%) [34], a sample size of no less than 231 was computed since the total items of four scales in this study is 21. Multistage sampling was conducted to select participants. Firstly, we stratified by grade, including 4 grades from freshman to senior. Secondly, 50% of classes (10 ~ 11 classes) in each grade were randomly selected [35]. Thirdly, all students (25 ~ 30 students) in each class were selected by cluster sampling. The inclusion criteria were a full-time nursing student on campus during campus quarantine and consent to participate. Questionnaire star was used to issue the questionnaires. Before data collection, informed consent was obtained from all participants. Once participants agree, they can access the questionnaire-filling interface and click on their choice. Finally, 1008 questionnaires were received from April 26 to April 30, 2022, about one month after the school issued a notice on March 25th, 2022 on the campus quarantine, of which 966 (95.83%) were qualified questionnaires.
Instrument
The primary care PTSD screen for DSM-5 (PC-PTSD-5)
PC-PTSD-5 was revised by Prins et al. [36] according to the DSM-5 criteria for PTSD. It is a five-item self-report tool. Items on it are scored dichotomously as zero (0 = No) or one (1 = Yes). Cheng et al. [12] translated PC-PTSD-5 into Chinese through the translating-callback method and confirmed the reliability and validity of this scale. The Chinese version has robust psychometric properties, and a cutoff score of two has been recommended in the Chinese version [12, 37]. The Cronbach’s α coefficient of PC-PTSD-5 was 0.830 in Cheng et al. ’s study and 0.841 in our research.
Fear of COVID-19 scale (FCV-19 S)
FCV-19 S was developed by Ahorsu et al. [38]. It is a seven-item self-reporting measurement tool for evaluating the degree of fear of COVID-19. Its items are rated on a 5-point Likert-type scale. The answers are ranging from 1 (strongly disagree) to 5 (strongly agree). And the highest possible total score on the FCV-19 S is 35, with higher scores indicating greater fear. The Cronbach’s α coefficient of FCV-19 S was 0.820 in the original scale [38]. Feng et al. [39] translated FCV-19 S into Chinese through the Brislin model and corroborated the Chinese version had excellent reliability and validity in Chinese medical students. The Cronbach’s α coefficient of FCV-19 S was 0.924 in Feng et al. ’s study [39] and 0.905 in our study.
Brief resilience scale (BRS)
BRS was developed by Smith et al. [40]. It is a 6-items self-reporting measurement tool, including 3 positive and 3 negative items. All items are scored on a 5-item Likert-type scale ranging from 1 (strongly disagree) to 5 (strongly agree). The total scores range from 6 to 30, with higher scores indicating better resilience. BRS was a reliable tool. The Cronbach’s α coefficient of BRS was ranging from 0.800 to 0.910 in different samples. The BRS was translated into Chinese and verified using the back-translation procedure [41]. Next, two pilot studies were carried out in the southeast and northwest, and the Chinese version was without any differences in geography and culture. Finally, the reliability and validity of the Chinese version were assessed and confirmed good psychometric properties in undergraduates, and the Cronbach’s α coefficient was 0.71. The reliability and validity of the scale were also verified in Chen et al. ’s study [42]. The Cronbach’s α coefficient was 0.792 in the present study.
Oslo 3-item Social Support scale (OSS-3)
OSS-3 was applied in measuring the level of social support of nursing students. Despite consisting of only three items as a self-reporting assessment tool, OSS-3 has good psychometric properties and covers different areas of perceived social support such as the sense of concern from other people [43]. And it has been used for several large-scale population-based surveys [44, 45]. A score ranging from 3 to 8, 9 to 11, and 12 to 14 are classified as poor, moderate, and strong social support, respectively. The Cronbach’s α coefficient of OSS-3 was 0.640 in Kocalevent et al.’s study [43]. Feng et al. [46] adapted OSS-3 to Chinese culture and proved good reliability and validity. The Cronbach’s α coefficient of OSS-3 was 0.821 in Feng et al. ’s study [46] and 0.687 in this research.
Data analysis
The SPSS 25.0 was employed to implement descriptive statistics and correlation analysis with P < 0.05 (two-tailed test) as statically significant. The chi-square test was used to analyze if the students’ PTSD has any differences based on sex and academic year. Spearman’s correlation analysis was employed to measure the correlations among social support, resilience, fear of COVID-19, and PTSD. The model 6 of SPSS PROCESS macro, a 5000-sample Bootstrap procedure, and 95% confidence interval (CI) were used for regression analysis, where the effect of sociodemographic correlates (sex, academic year, academic pressure, life stress, and job-hunting stress) was adjusted for [47]. The AMOS 23.0 was adopted to conduct a path analysis for testing the prior hypothesis, and the model was assessed by multiple fit indicators [48]. Moreover, standardized coefficients of direct and indirect effects were estimated with 95% CI according to the bias-corrected confidence intervals method with 5000 Bootstrap samples [47, 48].
Ethical considerations
The study was approved by the ethical committee of the College of Nursing of Wannan Medical College (20,220,004), and all participating students provided informed consent before the data collection.
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Results
Participants’ characteristics
The average age was 20.42±1.51 years among the 966 nursing students. As shown in Table 1, there were 284 (30.33%) freshmen, 207 (21.43%) sophomores, 277 (28.67%) juniors, and 198 (19.57%) Senior. In terms of job-hunting stress, 464 (48.03%) nursing students were in a state of high stress. In terms of academic pressure, 377 (39.03%) nursing students were under high pressure. In terms of life stress, 335 (34.68%) nursing students suffered from high pressure. Moreover, 9.01% of nursing students were not adaptable to online classes. Of the 966 nursing students, 149 were screened out PTSD, with a prevalence of 15.42%. As shown in Table 2, respondents with high levels of PTSD were found among the seniors who would graduate from their school two months later, significantly higher than freshmen and juniors (χ2 = 9.972, P = 0.019).
Table 1
Background characteristics of nursing students (n = 966)
Variables | N (%) | |
|---|---|---|
Sex | Male | 221 (22.88) |
Female | 745 (77.12) | |
Academic year | Freshman | 293 (30.33) |
Sophomore | 207 (21.43) | |
Junior | 277 (28.67) | |
Senior | 189 (19.57) | |
Online classroom adaptation | Inadaptable | 87 (9.01) |
Moderate | 396 (40.99) | |
Adaptable | 483 (50.00) | |
Academic pressure | Low | 150 (15.53) |
Moderate | 439 (45.44) | |
High | 377 (39.03) | |
Life stress | Low | 160 (16.56) |
Moderate | 471 (48.76) | |
High | 335 (34.68) | |
Job-hunting stress | Low | 154 (15.94) |
Moderate | 348 (36.03) | |
High | 464 (48.03) |
Table 2
Demographic characteristics of PTSD (n = 966)
Variables | PTSD | χ2 | P | ||
|---|---|---|---|---|---|
No | Yes | ||||
Sex | Male | 179 (21.91%) | 42 (28.19%) | 2.815 | 0.093 |
Female | 638 (79.09%) | 107 (71.81%) | |||
Academic year | Freshman | 257 (31.46%) | 36 (24.16%) | 9.972 | 0.019 |
Sophomore | 173 (21.18%) | 34 (22.82%) | |||
Junior | 240 (29.38%) | 37 (24.83%) | |||
Senior | 147 (17.99%) | 42 (28.19%) | |||
Relations of variables
PTSD was significantly correlated with social support (r =-0.246, P < 0.01), resilience (r =-0.281, P < 0.01), and fear of COVID-19 (r = 0.253, P < 0.01). Besides, social support was obviously correlated with resilience (r = 0.353, P < 0.01) and fear of COVID-19 (r =-0.205, P < 0.01). Moreover, resilience was obviously correlated with fear of COVID-19 (r = -0.291, P < 0.01).
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Harman’s univariate analysis
In the present study, multicollinearity has been not found as the variance explained by the first factor was 25.95%, which was less than 40% [35].
Regression analysis
Social support positively predicted resilience (β = 0.494, P <0.001), and negatively predicted the fear of COVID-19 (β =-0.242, P <0.05) and PTSD (β =-0.085, P <0.001). Resilience negatively predicted fear of COVID-19 (β =-0.394, P <0.001) and PTSD (β =-0.062, P <0.001). Fear of COVID-19 positively predicted PTSD (β = 0.033, P <0.001) (Table 3).
Table 3
Results of regression analysis from PROCESS macro testing
Variables | Resilience | Fear of COVID-19 | PTSD | ||||||
|---|---|---|---|---|---|---|---|---|---|
Se | β | t | Se | β | t | Se | β | t | |
Sex | 0.235 | -0.719 | -3.066** | 0.408 | 0.511 | 1.251 | 0.089 | -0.205 | -2.311* |
Academic year | 0.085 | 0.173 | 2.030* | 0.155 | -0.070 | -0.447 | 0.034 | 0.071 | 2.103* |
Academic pressure | 0.157 | -0.407 | -2.594* | 0.272 | 0.303 | 1.114 | 0.057 | -0.022 | -0.377 |
Job-hunting stress | 0.151 | 0.011 | 0.070 | 0.271 | -0.134 | -0.494 | 0.060 | -0.030 | -0.508 |
Life stress | 0.162 | -0.368 | -2.266* | 0.262 | 0.900 | 3.431** | 0.056 | 0.082 | 1.469 |
Social support | 0.044 | 0.494 | 11.170*** | 0.100 | -0.242 | -2.413* | 0.021 | -0.085 | -4.032*** |
Resilience | 0.063 | -0.394 | -6.237*** | 0.013 | -0.062 | -4.793 *** | |||
Fear of COVID-19 | 0.009 | 0.033 | 3.853*** | ||||||
F | 26.183 | 13.910 | 15.380 | ||||||
P | < 0.001 | < 0.001 | < 0.001 | ||||||
R2 | 0.150 | 0.108 | 0.128 | ||||||
Mediator analysis
The goodness-of-fit of the mediating model was satisfactory with chi-square/degree of freedom (CMIN/DF) = 0.790, goodness of fit index (GFI) = 0.998, adjusted goodness of fit index (AGFI) = 0.994, normed fit index (NFI) = 0.994, Tucker-Lewis index (TLI) = 1.000, incremental fit index (IFI) = 1.000, comparative fit index (CFI) = 1.000, root-mean-square error of approximation (RMSEA) <0.001 (Table 4) [48].
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Table 4
Evaluation the goodness-of-fit of the mediating model
Model | CMIN/DF | GFI | AGFI | NFI | TLI | IFI | CFI | RMSEA |
|---|---|---|---|---|---|---|---|---|
Mediating model | 0.790 | 0.998 | 0.994 | 0.994 | 1.000 | 1.000 | 1.000 | < 0.001 |
Standard value | < 5.000 | > 0.900 | > 0.900 | > 0.900 | > 0.900 | > 0.900 | > 0.900 | < 0.08 |
As presented in Table 5; Fig. 2, social support had a direct negative effect on PTSD (β =-0.216; 95% CI: -0.309~-0.117), which confirmed and supported the hypothesis1, accounting for 72.48%% of the total effect. Analysis of mediating effects revealed that social support influenced PTSD through three indirect pathways: the mediated effect of resilience was statistically significant (β = -0.053; 95% CI: -0.077~-0.031), accounting for 17.79% of the total effect; the mediated effect of fear of COVID-19 was statistically significant (β =-0.016; 95% CI: -0.031~-0.003), accounting for 5.37% of the total effect; the chain mediating effect of resilience and fear of COVID-19 was statistically significant (β =-0.013; 95% CI: -0.022~-0.006), accounting for 4.36% of the total effect. The results of indirect effects confirmed and supported the hypothesis 2, 3, and 4 respectively.
Table 5
Effects estimate of the hypothesized model (standardized coefficients)
Structural paths | Effect value | SE | 95% CI | % | |
|---|---|---|---|---|---|
Direct effects | Social support→PTSD | -0.216 | 0.049 | -0.309 ~ -0.117 | 72.48% |
Indirect effects | Social support→Resilience→PTSD | -0.053 | 0.012 | -0.077 ~ -0.031 | 17.79% |
Social support→Fear of COVID-19→PTSD | -0.016 | 0.007 | -0.031 ~ -0.003 | 5.37% | |
Social support→Resilience→Fear of COVID-19→PTSD | -0.013 | 0.004 | -0.022 ~ -0.006 | 4.36% | |
Total indirect effects | -0.082 | 0.014 | -0.109 ~ -0.055 | 27.52% | |
Total effects | -0.298 | 0.040 | -0.374 ~ -0.215 | 100.00% |
Fig. 2
Path model showing resilience and fear of COVID-19 mediating the relationship between social support and PTSD
Note: **P<0.01; ***P<0.001; PTSD: post-traumatic stress disorder; COVID-19: coronavirus disease 2019
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Discussion
As nursing students are the main reserve force against COVID-19, it is especially important to understand PTSD and its underlying mechanism and give timely psychological intervention. This research examined PTSD among nursing students and the relationship among social support, resilience, fear of COVID-19 and PTSD during the new wave pandemic and lockdown. In general, our research confirmed the previous hypotheses, and the results will provide a theoretical basis for interventions to improve nursing students’ mental health.
Characteristics of PTSD in nursing undergraduates
This study found as high as 48.03% of nursing students with high job-hunting stress, 39.03% with high academic pressure, and 34.68% with high life stress. This study also showed that 15.42% of the sampled students were screened out PTSD, which was a little higher than the college students reported by Liao et al. [16], and approximately compared to the youth in China following the first wave pandemic in 2020 [6, 49]. Obviously, confronted with manifold pressures and challenges from employment, studying, life, excessive exposure to COVID-19 news, and lockdown, the youth are apt to be troubled by PTSD. Accordingly, it is necessary to emphasize the prevention, screening, and psychological intervention of PTSD among adolescent students during the pandemic.
Further study found that seniors had significantly higher levels of PTSD than freshmen and juniors, in accordance with a precious study on university students [29]. When facing the variants ebb and flow and medical new cases during COVID-19, senior nursing students are concerned about their careers ahead and further study. However, many areas strictly restricted entry and many medical-related employers postponed recruitment in the golden period of job hunting during the epidemic lockdown period. And the uncertainty of their career ahead led to high employment pressure. Moreover, although senior nursing students have been at the end of the internship and were not necessary to participate in online learning during the pandemic lockdown, they were facing high learning pressure such as graduation thesis defense, graduation examination, and postgraduate reexamination. Additionally, they also experience constant stress such as fear of infection and separation from family, which increased the risk of triggering PTSD [14, 29]. Therefore, psychological counseling and spiritual comfort for senior nursing students should be placed great emphasis on. In addition, schools and employers should also take corresponding measures, such as expanding employment channels and adopting online recruitment. And schools should provide the required equipment and environment for the online interview and online reexamination of the senior during the quarantine.
Social support had a direct negative effect on PTSD
This study showed that social support had a direct negative effect on PTSD, which was in accordance with previous studies [50, 51]. Social support is real or available social resources in case of need [30]. It includes four aspects such as emotional support, instrumental support, informational support, and appraisal support [52]. So, people with high levels of social support would have a relatively big possibility to re-engage with lives following the traumatic event and may offer an outlet for people to pour out their hearts and troubles [53], all of which are associated with reducing PTSD.
Resilience and fear of COVID-19 played mediating roles between social support and PTSD among nursing undergraduates respectively
In addition, our study proved that resilience and fear of COVID-19 mediated the relationship between social support and PTSD respectively, and the mediating effect of resilience was greater than fear of COVID-19. The positive effect of social support on PTSD may be enhanced by resilience and attenuated by fear of COVID-19.
Resilience embodies the individual’s qualities that enable one to adapt and thrive faced with adversity and be regarded as a measure of stress coping ability [54, 55]. Kumpfer’s transactional model of resilience [26] suggests that person-environment interactional processes are self-integration which is necessary for change, and benefit to resilient reintegration as positive life outcomes. Therefore, social support, as a protective factor focusing on stress and coping processes, can help people to bounce back with positive resilient reintegration. Among medical students, resilience was described as several positive qualities, including the ability to take advantage of support systems, self-efficacy, learning from difficulties, persistence, and so forth [56], from which many positive outcomes may stem, including psychological health, good attitude, rationally facing the impact of the epidemic, alleviating the COVID-19 anxiety, improving quality of life and avoiding the occurrence of PTSD on nursing students [31].
During the lockdown of our university, the epidemic has lasted for more than two years for new cases and variants ebb and flow, and completely effective control measures have not been found [57]. Because of the contagious nature of the novel coronavirus and the long lockdown, fear in nursing students was to be triggered easily on this particular occasion. Fear is an adaptive action that elicits defensive behaviors. However, PTSD can be evoked when fear is inappropriately adjusted [58]. And the previous study has demonstrated that fear is a significant predictor of PTSD [29]. According to the pressure buffer theory, emotional support and informational support can prevent PTSD by reducing fear. On the one hand, emotional support and instrumental support can improve one person’s sense of security and belonging, which in turn could reduce an individual’s arousal and distress. On the other hand, instrumental support contributed to lessening the burdens caused by the pandemic directly, reducing the degree of their fear, and thus the mental impacts of the stressor. Therefore, social support that decreased the degree of fear and instilled resilience in nursing students could be a benefit for preventing PTSD during the pandemic.
Resilience and fear of COVID-19 played a chain mediating effect between social support and PTSD
We also proved that resilience and fear of COVID-19 played a chain mediating effect between social support and PTSD, following the related theory that social support needs to mediate the process to buffer the stress by trauma [59]. Therefore, social support would reduce the occurrence of PTSD by improving the psychological levels of individuals. Social support can improve the sense of control over stressful events and alleviate negative emotions by providing support of emotion, instruments, and information to avoid the occurrence of PTSD.
In the present study, social support reduced the risk of PTSD by influencing resilience and fear of COVID-19. It was obvious that social support played a key role, particularly for individuals facing negative emotions [60]. Social support has been testified to help to improve resilience [52]. Individuals with high resilience are more apt to adopt positive coping strategies and pour out their hearts to others [61]. And the act of pouring their heart out may play a sedative effect which is indispensable for an individual’s mental health [62‐64]. support of emotion, instrument, and information reduced the stress on nursing students from learning, life, and job-hunting, and are benefit for improving their resilience. Moreover, most of the nursing students have mastered certain methods of emotion regulation as they have finished the psychology courses, which helped them to maintain or quickly recover a good mentality during the lockdown. However, the higher resilience they have, the more optimistic and confident, and stronger ability to recover. Resources such as well social support, optimism, positive coping, and the range of those evaluated by previous resilience measures were benefit for improving the ability to recover from stress. And there may be a direct relationship between the ability to recover and health outcomes [40]. When facing the lockdown, they would not feel fear as they take positive adjustments. Information-processing theories of PTSD [65] suggest that the fear network in memory causes individuals to develop symptoms of PTSD such as hypervigilant, intrusion, and avoidance. Therefore, social support can influence the PTSD of nursing students through the chain mediating effect of resilience and COVID-19 fear.
Limitations
In this study, there are several limitations. Firstly, the cross-sectional study limited the causality among social support, resilience, COVID-19 fear, and PTSD, so a longitudinal study should be carried out to test these results. Secondly, the respondents were nursing students in one school. Therefore, further work is needed to enlarge the sample coverage. However, this study examined PTSD among nursing students and its influencing mechanism during the new wave pandemic and campus quarantine, and the results may offer the theoretical foundation for interventions to improve nursing students’ mental health.
Conclusion
The mental health of nursing students is directly related to the prospective reservoir of qualified nurses, and high-quality care in the future. Rightfully so, it deserves greater attention to strengthen the mental health of nursing students. The nursing students are apt to be troubled by PTSD during campus quarantine. The social support of nursing students not only directly affects PTSD, but also indirectly affects PTSD through the separate and chain mediating effect of resilience and fear of COVID-19. Therefore, it is necessary to focus on the prevention, screening, and psychological intervention of PTSD among nursing students. Accordingly, the compound strategies targeted at boosting social support, fostering resilience, and controlling fear of COVID-19 are warranted for reducing PTSD. In terms of schools, some measures should be taken to relieve the stress among nursing students, such as colorful online activities and online and offline psychological counseling during the campus quarantine. Moreover, the teachers may take full advantage of medical science, integrating the knowledge of coronavirus and the anti-epidemic spirit of healthcare workers into the teaching of professional courses, so as to guide nursing students correctly understand the COVID-19 pandemic, and relieve negative emotions such as fear of COVID-19, improve their professional responsibility as medical students. In the long run, schools should incorporate the improvement of students’ resilience into their talent training plans, optimize nursing curricula, and offer courses related to mental health. Parents should provide students with more emotional support and appropriate material support, and focus on defusing negative emotions. Besides, it is crucial to assist nursing students to regard support networks as resources and to evaluate and make full use of available support resources.
Acknowledgements
We express our great gratitude to all the authors of the scales and all the participants in the present study.
Declarations
Ethics approval and consent to participate
The study was approved by the ethical committee of the College of Nursing of Wannan Medical College (20,220,004), and all methods were performed in compliance with relevant guidelines and regulations. All participating students have provided informed consent before the data collection.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no conflicts of interest.
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