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医学生倦怠和退学意向的相关因素:一项横断面研究。

Correlates of burnout and dropout intentions in medical students: A cross-sectional study.

机构信息

Faculdade de Medicina, Universidade de Lisboa, Portugal; National Institute of Education, Nanyang Technological University, Singapore; Business Research Unit (BRU-IUL), Instituto Universitário de Lisboa (Iscte-IUL), Portugal; Faculty of Philosophy, Sciences and Languages of Ribeirão Preto, University of São Paulo, Brazil; Department of Evidence-Based Health, Escola Paulista de Medicina, Universidade Federal de São Paulo, Brazil.

Faculdade de Medicina, Universidade de Lisboa, Portugal.

出版信息

J Affect Disord. 2024 Nov 1;364:221-230. doi: 10.1016/j.jad.2024.08.003. Epub 2024 Aug 10.

Abstract

BACKGROUND

Burnout is a pervasive issue among medical students, exhibiting a high prevalence that jeopardizes their academic success and may also predispose them to more severe affective disorders such as depression. This study aims to explore the complex relationships between psychological capital (PsyCap), general social support, educational satisfaction, and burnout, and how these factors collectively influence dropout intentions.

METHODS

A non-probabilistic convenience sample was collected through an online survey from first- and second-year medical students at a Faculty of Medicine in Portugal. The survey employed psychometric instruments to measure burnout (BAT-12), social support (F-SozU K-6), PsyCap (CPC-12R), satisfaction with education, and dropout intentions (Screening Instrument for Students At-Risk of Dropping Out). Structural equation modeling was applied to analyze the data from 351 participants.

RESULTS

The model demonstrated a significant positive association between burnout and dropout intentions (β̂ = 0.37; p < 0.001), underscoring burnout as a direct correlate of dropout intentions alongside educational satisfaction (β̂ = -0.25; p = 0.003) and PsyCap (β̂ = -0.22; p = 0.005). Higher social support is associated with reduced burnout (β̂ = -0.28; p < 0.001) and increased educational satisfaction (β̂ = 0.22; p = 0.002).

LIMITATIONS

The non-probabilistic sampling method prevents the generalization of the findings. The cross-sectional data do not permit the inference of temporal relationships between the studied variables.

CONCLUSIONS

These findings emphasize the importance that burnout may have on dropout intentions, and contribute to the understanding of affective syndromes such as burnout in educational settings.

摘要

背景

倦怠是医学生中普遍存在的问题,其患病率很高,不仅危及他们的学业成功,还可能使他们更容易患上更严重的情感障碍,如抑郁症。本研究旨在探讨心理资本(PsyCap)、一般社会支持、教育满意度与倦怠之间的复杂关系,以及这些因素如何共同影响辍学意向。

方法

通过葡萄牙一所医学院的在线调查,采用非概率便利抽样方法收集了一、二年级医学生的样本。该调查采用心理计量学工具测量倦怠(BAT-12)、社会支持(F-SozU K-6)、心理资本(CPC-12R)、教育满意度和辍学意向(学生辍学风险筛查工具)。采用结构方程模型对 351 名参与者的数据进行分析。

结果

该模型显示,倦怠与辍学意向之间存在显著的正相关(β̂=0.37;p<0.001),这表明倦怠是辍学意向的直接相关因素,同时还与教育满意度(β̂=-0.25;p=0.003)和心理资本(β̂=-0.22;p=0.005)有关。较高的社会支持与较低的倦怠(β̂=-0.28;p<0.001)和较高的教育满意度(β̂=0.22;p=0.002)相关。

局限性

非概率抽样方法限制了研究结果的推广。横断面数据不允许推断研究变量之间的时间关系。

结论

这些发现强调了倦怠对辍学意向的重要性,并有助于理解教育环境中倦怠等情感综合征。

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