Mental health longitudinal trajectories and predictors in medical students: Latent growth mixture model analysis

萧条(经济学) 潜在增长模型 焦虑 心理健康 心理学 混合模型 增长模型 纵向研究 结构方程建模 临床心理学 梅德林 社交焦虑 精神科 社会支持 医疗服务 纵向数据 潜在类模型 社会环境 发展心理学
作者
Yinhai Chen,Ran Xu,Tong Zhou,Rong Huang,Lin Su,Xiong Ke
出处
期刊:Medical Education [Wiley]
卷期号:60 (4): 418-430 被引量:1
标识
DOI:10.1111/medu.70047
摘要

BACKGROUND: The high-pressure environment of medical education presents significant challenges to the long-term psychological well-being of medical students. Although anxiety and depression are well-documented among medical students, few studies have explored the developmental trajectories of these symptoms over time. This study aims to explore the two-year developmental trajectories of anxiety and depression symptoms in medical students and identify key predictors of these trajectories. METHODS: This longitudinal study involved 810 medical students from a Chinese medical school, with data collected over four waves spanning two years. A total of 730 students completed the baseline survey and were included in the analysis, yielding a valid response rate of 90.1%. Participants completed the Patient Health Questionnaire-9 (PHQ-9) for depression and the Generalized Anxiety Disorder-7 (GAD-7) scale for anxiety. Latent Growth Mixture Modelling (LGMM) was used to identify the latent trajectories of depression and anxiety symptoms, with full information maximum likelihood estimation applied to handle missing follow-up data. Regression analysis was conducted to determine predictors of these trajectories. RESULTS: The four waves of data for both depression and anxiety symptoms fit the model well. Depression followed two trajectories: a slowly decreasing group (92.0%) and a significantly increasing group (8.0%). Anxiety exhibited three trajectories: a low level-slow decreasing group (72.7%), a high level-significantly decreasing group (21.2%) and a low level-significantly increasing group (6.1%). Significant predictors of these trajectories included family structure, quality of relationships with parents and roommates, social support, past suicidal ideation and self-harming behaviour. Higher levels of social support were associated with decreasing symptom trajectories, whereas poor family relationships and past suicidal ideation predicted increasing symptoms. CONCLUSIONS: Depression and anxiety symptoms in medical students follow distinct developmental trajectories, providing a basis for targeted psychological interventions. Strengthening social support should be a priority for educational institutions and policymakers.
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