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

倦怠 心理学 辍学(神经网络) 临床心理学 横断面研究 社会支持 萧条(经济学) 社会资本 社会心理学 医学 宏观经济学 经济 社会学 病理 机器学习 计算机科学 社会科学
作者
Jorge Sinval,Pedro Oliveira,Filipa Novais,Carla Maria Almeida,Diogo Telles‐Correia
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:364: 221-230 被引量:6
标识
DOI:10.1016/j.jad.2024.08.003
摘要

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. 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. 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). 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. 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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
灰色的乌完成签到,获得积分10
刚刚
小菀儿发布了新的文献求助10
1秒前
11发布了新的文献求助30
1秒前
2秒前
make217完成签到,获得积分10
4秒前
SciGPT应助力力力力力力力采纳,获得10
5秒前
suenya完成签到,获得积分10
6秒前
7秒前
研小白应助wwhh采纳,获得10
8秒前
8秒前
8秒前
泥豪泥嚎发布了新的文献求助10
9秒前
yekindar完成签到,获得积分10
9秒前
打打应助幽幽采纳,获得10
9秒前
蒜皮完成签到,获得积分10
10秒前
槐月完成签到,获得积分20
13秒前
13秒前
13秒前
14秒前
大气凝云发布了新的文献求助10
15秒前
吧嗒发布了新的文献求助30
15秒前
科研通AI2S应助JJ采纳,获得10
18秒前
18秒前
SciGPT应助微笑采纳,获得10
19秒前
科研通AI6.4应助迷路荧采纳,获得10
19秒前
火星天发布了新的文献求助10
19秒前
19秒前
19秒前
科研通AI6.2应助hjkk采纳,获得10
20秒前
21秒前
22秒前
wzx完成签到,获得积分10
22秒前
李健应助炙热的羽毛采纳,获得10
23秒前
23秒前
Jasper应助火星天采纳,获得10
25秒前
苹果万恶发布了新的文献求助10
26秒前
幽幽发布了新的文献求助10
27秒前
27秒前
28秒前
思源应助科研通管家采纳,获得10
29秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Interactions of Vowel Quality and Prosody in East Slavic 1000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7193855
求助须知:如何正确求助?哪些是违规求助? 8829784
关于积分的说明 18642555
捐赠科研通 6830283
什么是DOI,文献DOI怎么找? 3176146
关于科研通互助平台的介绍 2328568
邀请新用户注册赠送积分活动 2150622