Prevalence and associated factors of burnout among nursing students: A systematic review and meta-analysis.

来自 PUBMED

作者:

Kong LNYao YChen SZZhu JL

展开

摘要:

To systematically estimate the global prevalence of burnout among nursing students, and examine the associated factors of burnout in this population. A systematic review and meta-analysis. PubMed, Embase, Web of Science, and CINAHL were searched from inception to June 30th, 2022. Two researchers independently screened studies, extracted data and assessed the quality of included studies. The random-effects model was used to estimate the global prevalence of burnout among nursing students. Subgroup analysis, meta-regression analysis, publication bias, and sensitivity analysis were also conducted. A total of 21 studies were included, involving 10,861 nursing students. In the random-effects model, the pooled prevalence of burnout was 23.0 % (95 % CI = 15.6-30.5 %) in nursing students. The pooled prevalence of emotional exhaustion, depersonalization, and reduced personal accomplishment was 47.1 %, 32.2 %, and 43.5 %, respectively. Main associated factors of burnout included demographic (e.g., age and grade), educational (e.g., workload, academic satisfaction, and incivility experience), physical (e.g., sleep quality and physical activity), and psychological (e.g., self-efficacy and personality traits) factors. Burnout is common in nursing students, with demographic, educational, physical, and psychological factors affecting their burnout. Early screening of burnout and interventions to prevent and reduce burnout should be considered for nursing students.

收起

展开

DOI:

10.1016/j.nedt.2022.105706

被引量:

7

年份:

1970

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(121)

参考文献(0)

引证文献(7)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读