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
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 pr...
Saved in:
Main Authors: | , , , , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
|
Series: | BMC Public Health |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12889-024-20930-x |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832594314083958784 |
---|---|
author | Shu Jing Zhenwei Dai Yijin Wu Xin Liu Ling Zhang Xiaoyang Liu Tianrui Ren Jiaqi Fu Xu Chen Wenjun Wang Xiaofen Gu Li Ma Shaokai Zhang Yanqin Yu Li Li Zhili Han Xiaoyou Su Youlin Qiao |
author_facet | Shu Jing Zhenwei Dai Yijin Wu Xin Liu Ling Zhang Xiaoyang Liu Tianrui Ren Jiaqi Fu Xu Chen Wenjun Wang Xiaofen Gu Li Ma Shaokai Zhang Yanqin Yu Li Li Zhili Han Xiaoyou Su Youlin Qiao |
author_sort | Shu Jing |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-02eca5dcdaca4af384039f04010cedb2 |
institution | Kabale University |
issn | 1471-2458 |
language | English |
publishDate | 2025-01-01 |
publisher | BMC |
record_format | Article |
series | BMC Public Health |
spelling | doaj-art-02eca5dcdaca4af384039f04010cedb22025-01-19T12:41:59ZengBMCBMC Public Health1471-24582025-01-0125111610.1186/s12889-024-20930-xPrevalence 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 studyShu Jing0Zhenwei Dai1Yijin Wu2Xin Liu3Ling Zhang4Xiaoyang Liu5Tianrui Ren6Jiaqi Fu7Xu Chen8Wenjun Wang9Xiaofen Gu10Li Ma11Shaokai Zhang12Yanqin Yu13Li Li14Zhili Han15Xiaoyou Su16Youlin Qiao17School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical CollegeNHC 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)School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical CollegeSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical CollegeSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical CollegeSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical CollegeSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical CollegeSchool of Nursing, LKS Faculty of Medicine, The University of Hong KongSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical CollegeSchool of Nursing, Jining Medical UniversityAffiliated Tumor Hospital, Xinjiang Medical UniversityPublic Health School, Dalian Medical UniversityHenan Cancer Hospital, Affiliate Cancer Hospital of Zhengzhou UniversityThe First Affiliated Hospital of Baotou Medical CollegeDepartment of Clinical Research, The First Affiliated Hospital of Jinan UniversityChina Foreign Affairs UniversitySchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical CollegeSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical CollegeAbstract 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.https://doi.org/10.1186/s12889-024-20930-xOccupational burnoutHealthcare workerCOVID-19China |
spellingShingle | Shu Jing Zhenwei Dai Yijin Wu Xin Liu Ling Zhang Xiaoyang Liu Tianrui Ren Jiaqi Fu Xu Chen Wenjun Wang Xiaofen Gu Li Ma Shaokai Zhang Yanqin Yu Li Li Zhili Han Xiaoyou Su Youlin Qiao 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 BMC Public Health Occupational burnout Healthcare worker COVID-19 China |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Occupational burnout Healthcare worker COVID-19 China |
url | https://doi.org/10.1186/s12889-024-20930-x |
work_keys_str_mv | AT shujing prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT zhenweidai prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT yijinwu prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT xinliu prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT lingzhang prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT xiaoyangliu prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT tianruiren prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT jiaqifu prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT xuchen prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT wenjunwang prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT xiaofengu prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT lima prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT shaokaizhang prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT yanqinyu prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT lili prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT zhilihan prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT xiaoyousu prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy AT youlinqiao prevalenceandinfluencingfactorsofoccupationalburnoutamonghealthcareworkersinthechinesemainlandduringthelate2022omicroncovid19outbreakamulticentercrosssectionalstudy |