Beyond Sociodemographic and COVID-19-Related Factors: The Association Between the Need for Psychological and Information Support from School and Anxiety and Depression

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.

A systematic review on the relationship between socioeconomic conditions and emotional disorder symptoms during Covid-19: unearthing the potential role of economic concerns and financial strain

BACKGROUND

Covid-19 has disrupted the lives of many and resulted in high prevalence rates of mental disorders. Despite a vast amount of research into the social determinants of mental health during Covid-19, little is known about whether the results are consistent with the social gradient in mental health. Here we report a systematic review of studies that investigated how socioeconomic condition (SEC)-a multifaceted construct that measures a person's socioeconomic standing in society, using indicators such as education and income, predicts emotional health (depression and anxiety) risk during the pandemic. Furthermore, we examined which classes of SEC indicators would best predict symptoms of emotional disorders.

METHODS

Following PRISMA guidelines, we conducted search over six databases, including Scopus, PubMed, etc., between November 4, 2021 and November 11, 2021 for studies that investigated how SEC indicators predict emotional health risks during Covid-19, after obtaining approval from PROSPERO (ID: CRD42021288508). Using Covidence as the platform, 362 articles (324 cross-sectional/repeated cross-sectional and 38 longitudinal) were included in this review according to the eligibility criteria. We categorized SEC indicators into 'actual versus perceived' and 'static versus fluid' classes to explore their differential effects on emotional health.

RESULTS

Out of the 1479 SEC indicators used in these 362 studies, our results showed that 43.68% of the SEC indicators showed 'expected' results (i.e., higher SEC predicting better emotional health outcomes); 51.86% reported non-significant results and 4.46% reported the reverse. Economic concerns (67.16% expected results) and financial strains (64.16%) emerged as the best predictors while education (26.85%) and living conditions (30.14%) were the worst.

CONCLUSIONS

This review summarizes how different SEC indicators influenced emotional health risks across 98 countries, with a total of 5,677,007 participants, ranging from high to low-income countries. Our findings showed that not all SEC indicators were strongly predictive of emotional health risks. In fact, over half of the SEC indicators studied showed a null effect. We found that perceived and fluid SEC indicators, particularly economic concerns and financial strain could best predict depressive and anxiety symptoms. These findings have implications for policymakers to further understand how different SEC classes affect mental health during a pandemic in order to tackle associated social issues effectively.

Risk factors and strategies for prevention of depression, anxiety and eating disorders among adolescents during the coronavirus disease 2019 (COVID-19) pandemic: a review

The purpose of this review is to identify prevalent trends and risk factors in depression, anxiety, and eating disorders in the adolescent population in the post coronavirus disease 2019 (COVID-19) scenario. We examined the literature published on adolescent mental health since the COVID-19 pandemic. We chose to summarize studies published from 2019 to 2022, using bibliographic search tools. We developed criteria for selecting articles for our review using diagnostic indicators and keywords. Mental health conditions such as depression, anxiety and eating disorders are commonly prevalent in this population and have shown increasing rates in the past three years. Some risk factors associated with these diagnoses include reduction in social interaction, increased workloads, routine shifts, sleep quality, social media usage and parental involvement. Routines, sleep cycles, physical activity, and social media should all be considered as a part of prevention in this population. Approaches that seem to be successful include maintaining social ties and avoiding negative social media usage with harmful content. Increased global public awareness, as well as parental awareness, through media campaigns, is critical to slowing the spread of mental health challenges in adolescents and teenagers in the post-COVID-19 era.

University students' living conditions during the COVID-19 pandemic and predictors of their subjective health views: A cross-sectional survey

This study aimed to explore the factors influencing subjective health views based on the living conditions and concerns of university students during the coronavirus infection 2019 (COVID-19) pandemic. From March to April 2021, a questionnaire survey was administered to 8,547 Japanese university students, and logistic regression analysis was used to explore factors related to subjective health views. The results showed that satisfaction with quality of sleep (OR = 2.651, 95% Cl 2.370-2.966,p < 0.001), satisfaction with university life (OR = 2.486, 95%Cl 2.215-2.789, p < 0.001), satisfaction with diet (OR = 1.849, 95% CI: 1.496-2.285, p < 0.001), regular exercise (OR = 1.759, 95% CI: 1.594-1.941, p < 0.001), consciousness of nutritional balance (OR = 1.276, 95% CI: 1.147-1.420,p < 0.001), eating breakfast every day (OR = 1.247, 95% CI: 1.121-1.387, p < 0.001), and consuming soft drinks at least once a week (OR = 0.865, 95% CI: 0.755-0.966, p = 0.010) were positive factors for subjective views of health. On the other hand, anxiety about whether the necessary credits can be obtained (OR = 0.885, 95% CI: 0.799-0.980, p = 0.019), infection from minimal outings (OR = 0.881, 95% CI: 0.794-0.976, p = 0.016) building and maintaining friendships on campus (OR = 0.867, 95% CI: 0.767-0.980, p = 0.023), and being able to continue working (OR = 0.713, 95% CI: 0.640-0.795, p < 0.001) were identified as negative factors. To ensure a healthy university life during the COVID-19 pandemic or future pandemic, supports tailored to students' living conditions and measures to address their anxieties are required.

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.

Influencing factors, prediction and prevention of depression in college students: A literature review

The high prevalence of depression among college students has a strong negative impact on individual physical and mental health, academic development, and interpersonal communication. This paper reviewed the extant literature by identifying nonpathological factors related to college students' depression, investigating the methods of predicting depression, and exploring nonpharmaceutical interventions for college students' depression. The influencing factors of college students' depression mainly fell into four categories: biological factors, personality and psychological state, college experience, and lifestyle. The outbreak of coronavirus disease 2019 has exacerbated the severity of depression among college students worldwide and poses grave challenges to the prevention and treatment of depression, given that the coronavirus has spread quickly with high infection rates, and the pandemic has changed the daily routines of college life. To predict and measure mental health, more advanced methods, such as machine algorithms and artificial intelligence, have emerged in recent years apart from the traditional commonly used psychological scales. Regarding nonpharmaceutical prevention measures, both general measures and professional measures for the prevention and treatment of college students' depression were examined in this study. Students who experience depressive disorders need family support and personalized interventions at college, which should also be supplemented by professional interventions such as cognitive behavioral therapy and online therapy. Through this literature review, we insist that the technology of identification, prediction, and prevention of depression among college students based on big data platforms will be extensively used in the future. Higher education institutions should understand the potential risk factors related to college students' depression and make more accurate screening and prevention available with the help of advanced technologies.

Mental Health Among Medical Students During COVID-19: A Systematic Review and Meta-Analysis

Background

The mental health of medical students is an issue worthy of attention, especially during COVID-19. Many studies have shown that depression and anxiety are the main problems faced by medical students. To assess the pooled prevalence of depression and anxiety among medical students worldwide, we conducted this meta-analysis.

Methods

According to PRISMA, we used a computerized strategy to search studies in EMBASE, PubMed, PsycArticles, Web of Science, and China Biology Medicine disc. The pooled prevalence of depression and anxiety was calculated by a random-effects model. Heterogeneity was explored by subgroup analysis. Sensitivity analysis and publication bias were also carried out in this meta-analysis.

Results

Of 1316 studies, 41 studies were selected based on 36608 medical students. The pooled depression prevalence was 37.9% (95% CI: 30.7-45.4%), and pooled anxiety prevalence was 33.7% (95% CI: 26.8-41.1%). The prevalence of depression and anxiety among medical students varied by gender, country, and continent.

Conclusion

The data reported that the prevalence of depression and anxiety among medical students during COVID-19 was relatively higher than those of the general population and the healthcare workers. The impact of COVID-19 on medical students and how to protect the mental health of medical students are needed to determine through further research.

Systematic Review Registration

[https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021274015], identifier [CRD42021274015].

Perspectives and Factors Affecting the Preventive Behavior Pertinent to COVID-19 among School Employees in Chiang Mai, Thailand: A Cross-Sectional Study

The school is one of the most challenging environments for management to prevent the spread of COVID-19 infection. School employees play important roles as the main practitioners of recommended preventive measures. Consistent application of preventive measures by school employees strengthens the school’s readiness to reopen for on-site education. The study objectives are (1) to assess school employee agreement and actions in accordance with the preventive measures and recommendations for COVID-19 prevention and control, (2) to assess the readiness of the school and employees for on-site education, and (3) to determine factors associated with consistent performance of these measures. A cross-sectional study was conducted via an online survey from 5 November 2021 to 25 January 2022. Self-reported online questionnaires were used to collect school employees’ data. The readiness of schools for on-site education was assessed using 44 indicators from the practical guidelines by the Thai Department of Health. Of the 402 study participants, the majority of participants had agreed to all measures and recommendations for COVID-19 prevention and control in school. High levels of concern and disagreement in school re-opening (aOR 3.78, 95%CI 1.04 to 13.70; p = 0.043) were associated with higher consistent performance of the measures and recommendations for COVID-19 prevention and control in schools. Male teachers (aOR 0.43, 95%CI 0.23 to 0.80; p = 0.008) and any disagreement with these measures and recommendations (aOR 0.03, 95%CI 0.01 to 0.23; p < 0.001) were associated with lower consistent performance. Our study findings can inform the stakeholders to decide on the re-opening and supportive strategies. School employees, especially in male employees, must be supported from the relevant sectors to decrease disagreement to the measures and enhance awareness of the pandemic situation before the school re-opening.

Post-secondary Student Mental Health During COVID-19: A Meta-Analysis

The COVID-19 pandemic has posed notable challenges to post-secondary students, causing concern for their psychological well-being. In the face of school closures, academic disruptions, and constraints on social gatherings, it is crucial to understand the extent to which mental health among post-secondary students has been impacted in order to inform support implementation for this population. The present meta-analysis examines the global prevalence of clinically significant depression and anxiety among post-secondary students during the COVID-19 pandemic. Several moderator analyses were also performed to examine sources of variability in depression and anxiety prevalence rates. A systematic search was conducted across six databases on May 3, 2021, yielding a total of 176 studies (1,732,456 participants) which met inclusion criteria. Random-effects meta-analyses of 126 studies assessing depression symptoms and 144 studies assessing anxiety symptoms were conducted. The pooled prevalence estimates of clinically elevated depressive and anxiety symptoms for post-secondary students during the COVID-19 pandemic was 30.6% (95% CI: 0.274, 0.340) and 28.2% (CI: 0.246, 0.321), respectively. The month of data collection and geographical region were determined to be significant moderators. However, student age, sex, type (i.e., healthcare student vs. non-healthcare student), and level of training (i.e., undergraduate, university or college generally; graduate, medical, post-doctorate, fellow, trainee), were not sources of variability in pooled rates of depression and anxiety symptoms during the pandemic. The current study indicates a call for continued access to mental health services to ensure post-secondary students receive adequate support during and after the COVID-19 pandemic. Systematic Review Registration: PROSPERO website: https://www.crd.york.ac.uk/prospero/, identifier: CRD42021253547.

Prevention of Depression in Children, Adolescents, and Young Adults: The Role of Teachers and Parents

Major depressive disorder (MDD) and other affective disorders may surreptitiously arise in children and adolescents during their school period and impair their social and educational functioning. Besides the social and personal burden, which are increased during the SARS-CoV-2 pandemic, the onset of depression may compromise the future of the growing person with chronicity and recurrence. In this context, educators’ training is essential to detect early the onset of a depressive disorder, to spare later consequences through the timely establishment of adequate treatment. The educational staff should receive adequate training to be able to work closely with healthcare providers and parents, thus directing the young person with an affective disorder to the right psychological and pharmacological treatment provider, i.e., a specialized psychologist or psychiatrist. The first approach should be to establish a trustful relationship with the adolescent and his/her classmates, to reduce social and self-stigma and inform about mental illness. If symptoms do not subside and the suffering child or adolescent fails to reintegrate within his/her school environment, cognitive–behavioral interventions are recommended that are individual, group, or computer-based. When needed, these should be implemented with individualized pharmacotherapy.