Evidence map›Paper›PMID 39815194›Full record

ArticleBMC public health2025

Prevalence and influencing factors of occupational burnout among healthcare workers in the Chinese mainland during the late 2022 Omicron COVID-19 outbreak: a multicenter cross-sectional study.

Shu Jing, Zhenwei Dai, Yijin Wu, Xin Liu, Ling Zhang, Xiaoyang Liu, Tianrui Ren, Jiaqi Fu, Xu Chen, Wenjun Wang and 8 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. High Psychological Impact of Covid-19 on French Healthcare Workers: An Observational Cohort Study of PTSD, Depression and Burn-Out.Health expectations : an international journal of public participation in health care and health policy · 2025
    Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Shu Jing *School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Zhenwei Dai *NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
Yijin WuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xin LiuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Ling ZhangSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xiaoyang LiuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Tianrui RenSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jiaqi FuSchool of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Xu ChenSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Wenjun WangSchool of Nursing, Jining Medical University, Jining, Shandong, China.
Xiaofen GuAffiliated Tumor Hospital, Xinjiang Medical University, Urumqi, China.
Li MaPublic Health School, Dalian Medical University, Dalian, China.
Shaokai ZhangHenan Cancer Hospital, Affiliate Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Yanqin YuThe First Affiliated Hospital of Baotou Medical College, Baotou, Inner Mongolia, China.
Li LiDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong, China.
Zhili HanChina Foreign Affairs University, Beijing, China. han.zhili@cfau.edu.cn.
Xiaoyou SuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. suxiaoyou@hotmail.com.
Youlin QiaoSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China witnessed an Omicron COVID-19 outbreak at the end of 2022. During this period, medical crowding and enormous pressure on the healthcare systems occurred, which might result in the occurrence of occupational burnout among healthcare workers (HCWs). This study aims to investigate the prevalence of occupational burnout and associated mental conditions, such as depressive symptoms, anxiety, PTSD symptoms, perceived social support, resilience, and mindfulness among HCWs of the Chinese mainland during the Omicron COVID-19 outbreak, and to explore the potential risk and protective factors influencing occupational burnout of HCWs. A multicenter cross-sectional study was conducted among HCWs working in the Chinese mainland from January 5 to February 9, 2023. A total of 6552 participants were recruited by convenience sampling. Data were collected on demographic characteristics, occupational burnout, depressive symptoms, anxiety, PTSD, perceived social support, resilience, and mindfulness by online questionnaires. Descriptive analyses were performed to describe the participants' demographic characteristics. Univariate-Multivariate analyses were used to determine the influencing factors of occupational burnout. The results showed that the prevalence of occupational burnout and associated mental disorders, such as depressive symptoms, anxiety, and PTSD in HCWs were 44.56%, and 70.75%, 47.87%, and 37.49%, respectively. Older age, female gender, higher income, more doses of COVID-19 vaccine, a higher level of mindfulness, resilience, and perceived social support were protective factors of occupational burnout. Working as nurses, in a department currently taking charge of the treatment of COVID-19 patients, perceived high risk of contracting COVID-19 due to work, perceived high work intensity, and a higher level of anxiety and depressive symptoms were risk factors of occupational burnout. Tailored interventions on perceived social support, resilience, and mindfulness should be implemented to alleviate occupational burnout and associated mental disorders among HCWs.

Indexed as

Burnout, ProfessionalCOVID-19Health PersonnelAdultAnxietyChinaCross-Sectional StudiesDepressionEast Asian PeopleFemaleHumansMaleMiddle AgedPrevalenceResilience, PsychologicalRisk FactorsChinaCOVID-19Healthcare workerOccupational burnout

Identifiers

PMID39815194
PMCPMC11737193

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.