The worldwide prevalence of self-reported psychological and behavioral symptoms in medical students: An umbrella review and meta-analysis of meta-analyses

焦虑 自杀意念 临床心理学 萧条(经济学) 精神科 荟萃分析 苦恼 医学 压力源 心理学 毒物控制 伤害预防 内科学 环境卫生 宏观经济学 经济
作者
Haitham Jahrami,Jawaher AlKaabi,Khaled Trabelsi,Seithikurippu R. Pandi‐Perumal,Zahra Saif,Mary V. Seeman,Michael V. Vitiello
出处
期刊:Journal of Psychosomatic Research [Elsevier BV]
卷期号:173: 111479-111479 被引量:46
标识
DOI:10.1016/j.jpsychores.2023.111479
摘要

Medical students frequently experience a range of stressors, such as demanding academic requirements, competition and rivalry, self-doubt, and financial distress. As a result, they are at risk for psychological and behavioral symptoms (PBS) including: depression, anxiety, and sleep difficulties as well as maladaptive substance use.To determine the degree of risk for these symptoms, 13 databases, without language restriction., were searched.A total of 32 meta-analyses were included in this umbrella review. A global analysis of all self-reported PBS combined yielded a pooled prevalence rate of 30.3% [26.9%; 33.7%]; 95% PI [2.2%; 58.3%]. The highest reported prevalence was for sleep problems 42.0% [35.6%; 48.4%], followed by stress 41.7% [35.3%; 48.1%], burnout 35.8% [25.7%; 45.8%], anxiety 32.5% [27.9%; 37.1%], depression 32.5% [28.8%; 36.1%], internet addiction 26.0% [5.5%; 46.5%], substance use 25.2% [18.9%; 31.6%], eating disorders 9.8% [1.1%; 18.4%], and suicidal thoughts/gestures/acts 8.9% [4.8%; 12.9%]. The prevalence estimates were deemed acceptable for all PBS.The evidence shows that fully one-third of medical students experience a range of problematic PBS, likely attributable to the demanding and intense study environment, the hierarchical structure of medical training facilities, and the vulnerability of the young adulthood time period. Appropriately targeted assessment and intervention efforts are clearly warranted to decrease the psychological burden of medical student training. PROSPERO Identifier: CRD42023391800. Open Science Network (OSF) Identifier: DOI 10.17605/OSF.IO/SXQYN.
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