A longitudinal study on psychological burden of medical students during COVID-19 outbreak and remission period in China

Psychological impact of COVID-19 on the Ecuadorian population: a comparative analysis 1 year after quarantine measures

Introduction

Social isolation during and after the COVID-19 pandemic has sparked interest in its psychological and neurobiological consequences. The pandemic has been associated with an increase in anxiety, depression, and stress, according to some cross-sectional studies. This study aims to analyze changes in the levels of anxiety, depression and stress by comparing the confinement phase to the post-confinement period in the Ecuadorian population.

Methods

A longitudinal, comparative, prospective study was conducted using an online survey comprising two sections. The first section gathered demographic information, whereas the second section included the DASS-21 questionnaire. Ecuadorian participants who completed the survey during the initial data-collection period were included.

Results

In total, 162 participants were included in the final analysis. The average age of the participants was 29.6 ± 11.7 years, and the majority were women (63.3%). In 2020, the median depression, anxiety, and stress scores were 6 (IQR 2-12), 6 (IQR 2-10), and 10 (IQR 6-16) respectively. In 2021, the median depression score was 8 (IQR 4-14), the median anxiety score was 8 (IQR 4-14.5), and the median stress and its interquartile range were 10 (IQR 6-18). The levels of depression, anxiety, and stress were significantly inversely correlated with age, number of children, self-reported general health, and self-reported mental health in both 2020 and 2021.

Conclusion

Exercise, being a student, sex and having had COVID-19 examination may be predictors for the changes in the levels of psychological disorders. Implementing psychological strategies, such as cognitive behavioral therapy, and physiological interventions, like regular physical activity, early in the post-lockdown period could help mitigate the negative mental health impacts observed in the aftermath of the pandemic. These interventions can provide necessary support and coping mechanisms for those at higher risk, thereby improving overall mental health outcomes.

Emerging Adult Resilience to the Early Stages of the COVID-Pandemic: A Systematic Scoping Review

Human resilience to COVID-19 related stressors remains a pressing concern following the aftereffects of the pandemic and in the face of probable future pandemics. In response, we systematically scoped the available literature (n = 2030 records) to determine the nature and extent of research on emerging adults' adaptive responses to COVID-19 stressors in the early stages of the pandemic. Using a multisystem resilience framework, our narrative review of 48 eligible studies unpacks the personal, relational, institutional and/or physical ecological resources that enabled positive emerging adult outcomes to COVID-18 stressors. We found that there is a geographical bias in studies on this topic, with majority world contexts poorly represented. Resources leading to positive outcomes foregrounded psychological and social support, while institutional and ecological supports were seldom mentioned. Multisystemic combinations of resources were rarely considered. This knowledge has valuable implications for understanding resilience in the context of other large-scale adverse conditions.

Development and validation of a prediction nomogram for academic burnout among Chinese adolescents: a cross-sectional study

OBJECTIVES

This study aimed to screen the potential risk factors for academic burnout among adolescents during the COVID-19 pandemic, develop and validate a predictive tool based on the risk factors for predicting academic burnout.

DESIGN

This article presents a cross-sectional study.

SETTING

This study surveyed two high schools in Anhui Province, China.

PARTICIPANTS

A total of 1472 adolescents were enrolled in this study.

OUTCOME MEASURES

The questionnaires included demographic characteristic variables, living and learning states and adolescents' academic burnout scale. Least absolute shrinkage and selection operator and multivariate logistic regression analyses were employed to screen the risk factors for academic burnout and develop a predictive model. The receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to assess the accuracy and discrimination of the nomogram.

RESULTS

In this study, 21.70% of adolescents reported academic burnout. Multivariable logistic regression analysis showed that single-child family (OR=1.742, 95% CI: 1.243 to 2.441, p=0.001), domestic violence (OR=1.694, 95% CI: 1.159 to 2.476, p=0.007), online entertainment (>8 hours/day, OR=3.058, 95% CI: 1.634 to 5.720, p<0.001), physical activity (<3 hours/week, OR=1.686, 95% CI: 1.032 to 2.754, p=0.037), sleep duration (<6 hours/night, OR=2.342, 95% CI: 1.315 to 4.170, p=0.004) and academic performance (<400 score, OR=2.180, 95% CI: 1.201 to 3.958, p=0.010) were independent significant risk factors associated with academic burnout. The area under the curve of ROC with the nomogram was 0.686 in the training set and 0.706 in the validation set. Furthermore, DCA demonstrated that the nomogram had good clinical utility for both sets.

CONCLUSIONS

The developed nomogram was a useful predictive model for academic burnout among adolescents during the COVID-19 pandemic. It is essential to emphasise the importance of mental health and promote a healthy lifestyle among adolescents during the future pandemic.

Evaluation of Health-Related Quality of Life and Mental Health in 729 Medical Students in Indonesia During the COVID-19 Pandemic

BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic has impacted the health-related quality of life (HRQoL) and mental health worldwide. However, its impact on medical students in Indonesia has not been well documented. This study aimed to evaluate HRQoL and mental health in 729 Indonesian medical students during the COVID-19 pandemic. MATERIAL AND METHODS We conducted a cross-sectional study from 31 August to 30 September 2021. The study instrument was an online questionnaire that was distributed via social media platforms. The 12-item short form version 2 (SF12v2) was used to measure HRQoL, and the 21-item Depression, Anxiety, and Stress Scale (DASS-21) was used to measure mental health. RESULTS From 729 Indonesian medical students included in the analyses, 37.3% had impaired physical component and 66.9% had impaired mental component of HRQoL. The determinants were medical students' island of residence, history of hospitalization, and family member's hospitalization and death due to COVID-19. Concerning mental health, the prevalence of reported symptoms of depression, anxiety, and stress were 45.4%, 65.2%, and 60.9%, respectively. Sex, study method, grade, previous COVID-19 disease severity, comorbidities, previous learning experience, and history of family isolation were identified as the determinants of mental health. CONCLUSIONS This study highlights the adverse effects of COVID-19 on HRQoL and mental health in Indonesian medical students. The results identified key associations, including SARS-CoV-2 infection and comorbidities experienced by the students, the health of their families, including grief following bereavement, and the effects of social isolation during the pandemic.

The prevalence and risk factors of mental problems in medical students during COVID-19 pandemic: A systematic review and meta-analysis

BACKGROUND

This meta-analysis and systematic review aimed to evaluate the global prevalence and risk factors of mental problems (i.e., depression, anxiety, stress, sleep disorder, posttraumatic stress disorder (PTSD), burnout, psychological distress, and suicidal ideation) among medical students during the COVID-19 pandemic.

METHOD

We searched PubMed, Embase, Web of Science, psycARTICLES, PsycINFO, CNKI, and Wan Fang for studies on the prevalence of mental problems among medical students from January 1, 2020, to April 1, 2022. The pooled prevalence was calculated by random-effect models. We performed a narrative review to identify the risk factors.

RESULTS

The meta-analysis included 201 studies (N = 198,000). The prevalence of depression (41 %, 95 % CI, 37-45 %,), anxiety (38 %,95 % CI, 34 %-42 %), stress (34 %, 95 % CI, 27 %-42 %), sleep disorder (52 %, 95 % CI, 44 %-60 %), psychological distress (58 %, 95 % CI, 51 %-65 %), PTSD (34 %, 95 % CI, 22 %-46 %), suicidal ideation (15 %, 95 % CI, 11 %-18 %) and burnout (38 %, 95 % CI, 25 %-50 %) was high. The major risk factors were being female, being junior or preclinical students, exposure to COVID-19, academic stress, psychiatric or physical disorders history, economic trouble, fear of education impairment, online learning trouble, fear of infection, loneliness, low physical activity, low social support, problematic internet or smartphone use, and young age.

LIMITATIONS

Most studies were cross-sectional. Few studies provided a reasonable response rate, suggesting potential selection bias.

CONCLUSIONS

The study demonstrated a high prevalence and risk factors for mental problems during COVID-19, calling for mental health services. Our findings are valuable for college and health authorities to identify high-risk students and provide targeted intervention.

High prevalence and risk factors of dropout intention among Chinese medical postgraduates

BACKGROUND

A high attrition rate in medical students has exacerbated the physician shortage in China. However, few studies have explored the risk factors of dropout intention in medical postgraduates. This study compared the prevalence of dropout intention and mental distress between medical and non-medical postgraduates in China and investigated risk factors for dropout intention. This study also explored the impact of medical postgraduates' perception of the Chinese healthcare environment on their mental status and dropout intention.

METHODS

This cross-sectional study was conducted using online questionnaires from October 2020 to April 2021. Convenience sampling was used to recruit postgraduates in different majors. Outcomes included dropout intention and potential risk factors, including mental distress, quality of life, and fatigue. Medical postgraduates were additionally assessed for healthcare environment satisfaction, burnout, career choice regret, and experiences of workplace violence. A logistic regression model was constructed to evaluate the association between dissatisfaction, mental distress, and turnover intention.

RESULTS

A total of 740 medical and 670 non-medical postgraduates participated in the survey. The rates of depression symptoms (33.8% vs. 39.0%, p < 0.001), anxiety symptoms (22.2% vs. 32.4%, p < 0.001), and somatic symptoms (34.7% vs. 42.4%, p = 0.004) were lower in medical postgraduates, while more medical postgraduates (58.4% vs. 48.4%, p < 0.001) reported dropout intention. Dissatisfaction with the healthcare environment (odds ratio [OR]: 1.65; 95% confidence interval [CI]: 1.17-2.34, p = 0.005), career choice regret (OR: 6.23; 95% CI: 4.42-8.78, p < 0.001), and high perceived stress (OR: 2.74; 95%CI: 1.90-3.94, p < 0.001) remained independently associated with turnover intention.

CONCLUSIONS

Mental distress is common among postgraduates, calling for timely interventions. Medical postgraduates reported higher turnover intention. Healthcare environment perception also affected the mental health and dropout intentions of medical students. A decent future income, reduced workload, shorter duration medical training, and better doctor-patient relationships are urgently needed.

COVID-19 and mental health: A systematic review of international medical student surveys

Background

The medical school curriculum has imposed psychological stressors on students worldwide, some of which may induce feelings of increased depression and anxiety. Meanwhile, the COVID-19 pandemic has exacerbated the feelings of stress, depression, and anxiety that a portion of medical students experience in their daily life. The aim of this systematic review is to gather concrete data from medical schools around the globe, and further evaluate how the COVID-19 pandemic has impacted medical students' mental health.

Materials and methods

Systematic search of data from PubMed, EMBASE, psycINFO, MEDLINE Complete, and Global Health for studies conducted between December 2019 and July 2021 was conducted. Data from 47 different surveys of medical students from various medical institutions throughout the world were included in this review. These surveys, administered in the form of questionnaires that utilized rating scales, measured anxiety, depression, and stress levels in medical students amidst the COVID-19 outbreak.

Results

The COVID-19 outbreak was found to have negative effects on medical students, most notably causing emotional and behavioral changes and detrimental mental health impacts. Higher levels of stress, depression, and anxiety have been found in medical students since the outbreak.

Conclusion

This systematic review highlights the sustained high prevalence of moderate depression, anxiety and stress among medical students during the COVID-19 pandemic. Appropriate support and research on which interventions could mitigate these risks is essential in order to ensure that future physicians are properly cared for, and ultimately have the adequate tools needed to provide high quality and empathetic care to future patients.

The Consequences of the Pandemic on Medical Students’ Depressive Symptoms and Perceived Stress: A Repeated Cross-Sectional Survey with a Nested Longitudinal Subsample

This study aimed to explore the impact of the pandemic on medical students’ mental health in Italy using a repeated cross-sectional survey with a nested longitudinal subsample (first timepoint: 2018; second: 2020/2021). Three research questions (RQs) were investigated. Study 1 (longitudinal sub-sample) explored whether medical students had higher levels of depressive symptoms and stress during the pandemic compared with a pre-pandemic period (RQ1) and what variables were associated with these conditions during the pandemic adjusting for baseline levels (RQ2). Study 2 (repeated cross-sectional data) aimed to examine whether medical students had higher levels of these conditions during the pandemic compared with their same-year peers during a pre-pandemic period (RQ3). In Study 1, higher levels of depressive symptoms and stress were shown during the pandemic (RQ1). Multivariable models highlighted associations between poor mental health and worsening of the judgment of medical school choice, worsened psychological condition due to the pandemic, economic repercussions due to the pandemic, and baseline levels of symptoms (RQ2). In Study 2, our findings reported higher levels of depressive symptoms and stress during the pandemic, also adjusting for other variables (RQ3). In conclusion, depressive symptoms and stress were greater during the pandemic. The most relevant variables were pandemic-related items and medical school choice judgment.

Evaluation of Expressive Arts Therapy on the Resilience of University Students in COVID-19: A Network Analysis Approach

As an alternative to traditional verbal counselling, expressive arts therapy has been shown to be an effective method of mental health care, particularly when dealing with stressful public interactions, such as those associated with COVID-19. However, few studies have been conducted to determine the efficacy of expressive arts therapy on the resilience of psychologically exposed university students during COVID-19. Furthermore, since network analysis appears to be a popular approach in psychological research, it has not been used in recent intervention studies for resilience. As a result, the current study utilized a network analysis approach to determine the efficacy of expressive arts therapy on the resilience of university students during the COVID-19 pandemic. A total of 263 students in a comprehensive university in China were selected for the therapy group between March and November 2021. In a pre-post design, students’ resilience was assessed using the Resiliency Scale for University Students (RSUS). The extended Bayesian information criteria (EBIC) and graphical LASSO were used to estimate and define paired resilience networks, and the strength, betweenness, and closeness indices were utilized to determine the centrality of the six facets of resilience. Additionally, we verified the stability and accuracy. It was discovered that significant differences appeared between the paired networks before and after expressive arts therapy. Facets of self-efficacy, self-acceptance and problem-solving in resilience were notably improved after the therapy, with the variable of emotional stability sustained at the mean level. Meanwhile, the network analysis has highlighted the central variable of self-efficacy in the pre-intervention and support from friends in the post-intervention. The connectivity among the components of problem solving, support from friends, and support from family was enhanced, with support from friends playing the role of hub nod in the following network. By utilizing a network analytic approach, expressive arts therapy can be more targeted in intervening in resilience mechanisms. As a proxy for efficacious problem-solving, intervention should be calibrated to the cultivation of social support networks, especially in the support from friends.

Emotional and Behavioral Changes in Older Adults With High Risk of Cognitive Impairment During the COVID-19 Pandemic

COVID-19 is not only a threat to physical health but also a stressor to mental health, particularly for older adults. Previous studies have indicated that healthy older adults have resilience to cope with such stressful event through emotional and behavioral effort. However, very few have investigated the coping ability of older adults with High Risk of Cognitive Impairment (HRCI), as they are characterized with risk factors that can make them more vulnerable to COVID-19 in both physical and mental aspects. To examine whether older adults with HRCI were able to cope with and recover from the outbreak of COVID-19, we investigated the changes of their self-reported emotional states and intentions of taking protective behaviors between the outbreak period (data collected from February 17th to 24th, 2020) and the remission period (data collected from April 7th to 20th, 2020). The results showed that compared with the outbreak period, older adults with HRCI showed better emotional states and higher levels of intention to take more protective behaviors during the remission period. Subgroup analysis showed that even those who showed relatively poor coping abilities during the outbreak period could gradually improve their emotional states and intend to take more protective behaviors later on in the remission period. Therefore, these results suggested that older adults with HRCI were able to cope with and recover from the pandemic outbreak.