Psychological Health and Sleep Quality of Medical Graduates During the Second Wave of COVID-19 Pandemic in Post-epidemic Era

Sleep Disturbances in Health Professional Students During the COVID-19 Pandemic: A Concept Analysis

AIM

The aim is to delineate the concept of sleep disturbances in health professional students during the COVID-19 pandemic.

DESIGN

A concept analysis was conducted.

METHODS

A systematic search was conducted for relevant articles published and performed from inception to July 5, 2024. Electronic databases searched included PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase and Web of Science. Rodgers' method of evolutionary concept analysis was used.

RESULTS

A total of 50 pertinent articles were included in our analysis. Utilising inductive thematic analysis, this study identified attributes, antecedents and consequences of sleep disturbances. Important attributes included insomnia, disrupted sleep patterns, altered sleep duration/nocturnal sleep duration and poor sleep quality. Antecedents encompassed factors such as gender, age/grade levels, physical activity, screen time of digital production, mental health issues, COVID-19-related stressors, financial strain and academic stress. Consequences included both mental and physical health implications. By addressing sleep disturbances and promoting better sleep health among students, we can enhance their learning and performance, which could translate to improved patient care outcomes. Additionally, understanding and mitigating sleep disturbances can contribute to the development of a more resilient and effective health care workforce, capable of providing high-quality care even during crises like the COVID-19 pandemic.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Global prevalence of anxiety and depression among medical students during the COVID-19 pandemic: a systematic review and meta-analysis

PURPOSE

As future physicians, medical students have experienced tremendous pressure during the ongoing COVID-19 pandemic, which is associated with a high risk of depression and anxiety. We aimed to investigate an overview of the prevalence of anxiety and depression among medical students in various countries during the global COVID-19 pandemic, and discuss associated stressors.

METHODS

We systematically searched CINAHL, EMBASE, MEDLINE, PubMed, and Web of Science for relevant articles from December 1, 2019 to March 15, 2023. We performed meta-analysis using a random-effects model with REML method to calculate the pooled prevalence of anxiety and depression. Begg's and Egger's tests were used to identify the potential risk of publication bias. Meta-regression was used to explore potential sources of heterogeneity.

RESULTS

We identified 130 studies reporting anxiety and depression among 132,068 medical students during the COVID-19 pandemic. Eight screening tools were identified for anxiety and six for depression. The pooled prevalence of mental health outcomes for anxiety and depression was 45% (95% confidence interval [CI], 40%-49%) and 48% (95% CI, 43%-52%), respectively. The pooled prevalence of mental health outcomes for moderate and severe anxiety and moderate and severe depression was 28% (95% CI, 24%-32%) and 30% (95% CI, 26%-35%), respectively. There was high heterogeneity between studies, with I2 ranging from 99.58%-99.66%. Continent and survey date were included in the meta-regression model. The results of meta-regression revealed that medical students in Asia had a lower prevalence of anxiety, and depression than those in other regions. The survey date (from February to June, 2020) showed a significantly positive correlation with the prevalence of anxiety and depression.

CONCLUSIONS

We demonstrated the global prevalence of anxiety and depression among medical students during the COVID-19 pandemic. The data highlight that medical students worldwide are at high risk of experiencing anxiety and depression. The reported stressors can be categorized into personal, academic, environmental and cultural, and pandemic factors. Schools and institutions should ensure optimal alternative learning environments for uninterrupted provision of medical education. The appropriate authorities should prioritize the provision of adequate protection for medical students and establish policies to promote new methods of training and education during a disaster, such as via distance learning.

The impact of COVID-19 on medical students

Objective

The outbreak of COVID-19 has disrupted social order and placed a heavy burden on the healthcare system. The pandemic also has an unprecedented impact on medical students.

Methods

We searched PubMed for articles related to COVID-19 and medical students from January 2020 to December 2022. A total of 5358 studies were retrieved and after screening, 176 studies were finally included in this review.

Results

The impact of COVID-19 on medical students is widespread and profound. First reflected in the transformation of educational models. In the early days, education model quickly shifted from offline to online. In terms of clinical exposure, most students have been suspended from internships, while in some areas with staff shortages they have the opportunity to continue clinical work. Scientific research of medical students is also difficult to carry out due to COVID-19. The epidemic has also seriously damaged students' mental health, and this impact won't simply disappear with the improvement of the epidemic situation. The career intentions of medical students may also become firmer or change due to COVID-19. International medical electives have also been negatively affected by COVID-19 due to travel restriction. Even in the postpandemic era, with the gradual resumption of work, production and school, medical students are still affected in some ways by COVID-19.

Conclusion

The COVID-19 pandemic has had a profound impact on both the education of medical students and their personal development. Through COVID-19, we should reflect on what models of medical education should be developed in the future. Based on the experiences learned from COVID-19, we believe that a more flexible blended education model may be the most promising.

SARS-CoV-2 vaccination may improve anxious, insomnia and depressive symptoms among Chinese population aged 18-75 years during the COVID-19 pandemic

Previous studies have reported significant decreases in the incidence of mental health problems following SARS-CoV-2 vaccination. However, less relevant studies are published in China. We conducted a cross-sectional study involving Chinese adults aged 18-75 years with no known psychiatric diseases. The study used data from mental health of SARS-CoV-2 vaccinated and unvaccinated participants from May 2020 to July 2021.Three standardized scales, namely, the Generalized Anxiety Disorder-7 (GAD-7) for anxious symptoms, Patient Health Questionnaire-9 (PHQ-9) for depressive symptoms and Athens Insomnia Score-8 (AIS-8) for insomnia symptoms, as well as basic demographic questions were used. The hierarchical regression method was used for multivariate logistic regression analysis to explore the effects of SARS-CoV-2 vaccination on anxious, insomnia, and depressive symptoms. The results confirmed first that vaccinated participants experienced significantly lower anxious, insomnia, and depressive symptoms scores (P < 0.001) compared with unvaccinated participants. Second that vaccinated participants had a lower prevalence of anxious, insomnia, and depressive symptoms (P < 0.001). Third, after adjusting for potential confounders, we still observed a good correlation between vaccination and a reduced risk of anxious, insomnia, and depressive symptoms. The current study showed that SARS-CoV-2 vaccination may be helpful in improving anxious, insomnia, and depressive symptoms.

The impact of core self-evaluation on school adaptation of high school students after their return to school during the COVID-19 pandemic: the parallel mediation of positive and negative coping styles

Background

To explore the direct effect of core self-evaluation and the indirect effects of positive and negative coping styles on school adaptation of high school students after their return to school during the COVID-19 pandemic.

Methods

The Core Self-Evaluation Scale, Simple Coping Style Scale, and School Adaptation Questionnaire were used for the psychometric analysis of 500 high school students (229 males and 271 females) one month after their return to school. The bootstrap method was applied for mediation analysis.

Results

A positive correlation was noted between core self-evaluation and school adaptation (r = 0.56), and the predictive effect was significant (β = 0.43). Core self-evaluation positively predicted positive coping styles, which positively predicted school adaptation, while core self-evaluation negatively predicted negative coping styles, which negatively predicted school adaptation. Positive and negative coping styles played a significant mediating role between core self-evaluation and school adaptation. The mediating effect included the indirect effects generated by two pathways: core self-evaluation → positive coping style → school adaptation (95% CI [0.08-0.19]) and core self-evaluation → negative coping style → school adaptation (95% CI [0.03-0.11]).

Conclusion

There is a positive association between the core self-evaluation and school adaptation of high school students after their return to school during the COVID-19 pandemic. It may directly or indirectly affect the school adaptation of high school students after their return to school through positive or negative coping styles. After returning to school, educators should guide students to view themselves positively, cultivate healthy core self-evaluation, and enable them to have good school adaptation.

The status of e-learning, personality traits, and coping styles among medical students during the COVID-19 pandemic: a cross-sectional study

Objective

The objective of this study was to explore the learning preferences and habits of medical students during the pandemic home e-learning, and to investigate the incidence of adverse emotions, optimistic character level and coping style. To explore the influencing factors of adverse emotions.

Methods

A cross-sectional survey was conducted in China from March to June 2022. Medical students were recruited from three universities in China, and a questionnaire survey was conducted. The questionnaires consisted of a "e-learning preferences and habits questionnaire", life orientation test questionnaire (LOT-R), and simple coping style questionnaire (SCSQ). Finally, a total of 492 medical students who met the inclusion and exclusion criteria became the research subjects and completed the survey.

Results

A total of 57.7% believed they experienced no adverse emotions during home e-learning. ① During the COVID-19 pandemic, the score of optimistic personality of medical students was (7.25 ± 1.933), and the score of pessimistic personality was (5.82 ± 2.240). The score of positive coping was (21.75 ± 5.379), and the score of negative coping was (11.75 ± 3.611). ② The occurrence of medical students' adverse emotions during e-learning was influenced by "Whether there is a private, quiet space to study", "Degree of knowledge mastery", "Physical discomfort or not", "Keep a regular schedule or not", "Optimistic personality tendency".

Conclusion

This study demonstrates the during home e-learning, most medical students have their own learning equipment and can meet their learning needs. Their favorite mobile device to use is a mobile phone, and their favorite method of teaching is to provide course playback. More than half of medical students believe that they have some inconvenience in conducting research during home e-learning. With regard to teacher's real-time screen, the largest number of medical students support teachers turning on live screens so that they feel like they are interacting with the teacher. The preference for blended teaching is highest among medical students. In general, medical students were highly adaptive of the newest e-learning approach. Based on the statistic analysis, the factors that "Whether there is a private, quiet space to study", "Degree of knowledge mastery", "Physical discomfort or not", "Keep a regular schedule or not", and "Optimistic personality tendency" may be the influencing factors for the occurrence of adverse emotions.

Marital status and living apart affect sleep quality in male military personnel: a study of the China's Navy during COVID-19

Background

Marital status is a robust sociodemographic predictor of sleep. Having to live apart from spouse may have different implications than those of cohabitants or singles, especially in military personnel. Further research on this group will help provide knowledge in advance and facilitate early targeted interventions.

Methods

An online questionnaire study was conducted from July to November 2021. A total of 1,832 male military personnel completed the questionnaire. The marital status was measured by a self-reported single choice question. Pittsburgh sleep quality index (PSQI), Epworth Sleepiness Scale (ESS) and The Dysfunctional Beliefs and Attitudes about sleep scale (DBAS-16) were used to measure sleep-related outcomes. Inverse probability weighting (IPW) was applied to reduce the effects of confounding. Logistic regression was used to analyze the relationship between marital status and sleep and explore the impact of living together or not.

Results

After inverse probability weighting, the prevalence of poor sleep quality, sleepiness and dysfunctional beliefs were 16.1, 20.1 and 7.1%, respectively. One-way ANOVA results for the means of both groups were statistically significantly different, except for the sleep latency and sleep disturbance dimensions of PSQI. Participants who were married were more likely to have poor sleep quality (OR: 1.408, 95% CI: [1.10, 1.80]), to have daytime sleepiness (OR: 1.560, 95% CI: [1.27, 1.92]) and to develop dysfunctional beliefs and attitudes (OR: 2.497, 95% CI: [1.65, 3.80]) than those who were unmarried. Further analysis showed that the odds of developing poor sleep quality and DBAS in participants who married but living apart were significantly bigger than those unmarried (OR: 1.548 and 3.991, respectively.), while there were no significant differences in the odds of daytime sleepiness (OR: 0.738, p = 0.050). Age was a protective factor for the development of bad sleep outcomes, while family economic was an independent risk factor.

Conclusion

Marital status appear important for sleep quality, daytime sleepiness and sleep beliefs. The effect of living apart or not should be considered separately as an important predictor of sleep.

Global prevalence and trend of anxiety among graduate students: A systematic review and meta-analysis

OBJECTIVE

To evaluate the comprehensive prevalence of anxiety among postgraduates and estimate its changes with a meta-analysis.

METHOD

Systematic retrieval to SAGE, ERIC, EBSCO, Wiley, ScienceDirect, ProQuest, PubMed, EMBASE, and Web of Science database was performed for quantitative studies on the prevalence of anxiety among graduate students published before November 22, 2022. The prevalence of anxiety synthesized with random-effects model, and subgroup analysis was conducted by study characteristics (publication year, sampling method, and measurements) and subjects' characteristics (gender, region, and educational level).

RESULT

Fifty studies were included in the meta-analysis, totaling 39,668 graduate students. The result revealed that 34.8% of graduates suffered from the anxiety (95% CI: 29.5%-40.5%). Specifically, 19.1% (95% CI: 15.4%-23.5%) had mild anxiety, 15.1% (95% C: 11.6%-19.6%) had moderate anxiety, and 10.3% (95% CI: 7.2%-14.6%) had severe anxiety. And this prevalence showed a upward trend since 2005. Besides, master students suffered slightly less than doctoral students (29.2% vs. 34.3%), and female had similar anxiety to male (26.4% vs. 24.9%). Due to the COVID-19, the prevalence of anxiety is higher after the pandemic than that before (any anxiety: 34.3% vs. 24.8%). Compared with other countries, students from Saudi Arabia, India, and Nepal were more vulnerable. The results of quality assessment showed that, 5 (10%) were in high quality, 21 (42%) were in moderate to high quality, 21 (42%) were in low to moderate quality, and 3 (6%) were in low quality. But, the studies with low quality tend to report a higher prevalence than that with high quality (40.3% vs. 13.0%), studies with nonrandom sampling tend to report a higher prevalence than that with random sampling (33.6% vs. 20.7%). Although we included the data collected based on the standard scales, there were higher heterogeneity among the measure (Q = 253.1, df = 12, p < .00).

CONCLUSION

More than one-third postgraduates suffered from anxiety disorder, and this prevalence had a slight upward trend since 2005, school administrators, teachers and students should take joint actions to prevent mental disorder of graduates for deteriorating.

The evolution of research on depression during COVID-19: A visual analysis using Co-Occurrence and VOSviewer

Background

The COVID-19 pandemic has led to public health problems, including depression. There has been a significant increase in research on depression during the COVID-19 pandemic. However, little attention has been paid to the overall trend in this field based on bibliometric analyses.

Methods

Co-Occurrence (COOC) and VOSviewer bibliometric methods were utilized to analyze depression in COVID-19 literature in the core collection of the Web of Science (WOS). The overall characteristics of depression during COVID-19 were summarized by analyzing the number of published studies, keywords, institutions, and countries.

Results

A total of 9,694 English original research articles and reviews on depression during COVID-19 were included in this study. The United States, China, and the United Kingdom were the countries with the largest number of publications and had close cooperation with each other. Research institutions in each country were dominated by universities, with the University of Toronto being the most productive institution in the world. The most frequently published author was Ligang Zhang. Visualization analysis showed that influencing factors, adverse effects, and coping strategies were hotspots for research.

Conclusion

The results shed light on the burgeoning research on depression during COVID-19, particularly the relationship between depression and public health. In addition, future research on depression during COVID-19 should focus more on special groups and those at potential risk of depression in the general population, use more quantitative and qualitative studies combined with more attention to scale updates, and conduct longitudinal follow-ups of the outcomes of interventions. In conclusion, this study contributes to a more comprehensive view of the development of depression during COVID-19 and suggests a theoretical basis for future research on public health.