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

Journal

JOURNAL OF AFFECTIVE DISORDERS
Volume 321, Issue -, Pages 167-181

Publisher

ELSEVIER
DOI: 10.1016/j.jad.2022.10.040

Keywords

Medical students; COVID-19; Mental health; Meta -analysis

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This meta-analysis and systematic review aimed to evaluate the global prevalence and risk factors of mental problems among medical students during the COVID-19 pandemic. The study found a high prevalence of depression, anxiety, stress, sleep disorders, psychological distress, PTSD, suicidal ideation, and burnout among medical students. Risk factors included 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.
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 highrisk students and provide targeted intervention.

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