Depression Among Medical Students in the United States During the COVID-19 Pandemic: The role of Communication Between Universities and Their Students

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.

Is Satisfaction with Online Learning Related to Depression, Anxiety, and Insomnia Symptoms? A Cross-Sectional Study on Medical Undergraduates in Romania

The objective of this study was to investigate online learning satisfaction in a sample of university students and its relationship with depression, anxiety, insomnia, and the average number of hours spent online. A total of 463 medical students were recruited for an online survey conducted from February to March 2022 with the main objective of estimating online learning satisfaction, while secondary outcomes involved assessing the relationship between online learning and depression, anxiety, insomnia, and the average number of hours spent online. A total of 285 participants were female (71.4%) and the mean age was 20.2 years. The results revealed that depression, anxiety, and insomnia are negatively correlated with overall satisfaction with e-learning. The more time students spent online, the greater the overall satisfaction. There are significant differences regarding student perceptions of interactivity in online learning satisfaction outcomes (p < 0.05, η2 partial Eta Squared-0.284). The opportunity to learn via chat-box presented differences in overall satisfaction while pleasant aspects of online learning, such as “no travel” and “economy”, were related to satisfaction. The students revealed that the higher the psychopathology scores, the less satisfied they were with online learning, while a higher number of hours spent online contributed positively to satisfaction.

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.