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Zhang M, Bo M, Wang H, Fan W, Kong L, Zhou C, Zhang Z. Prevalence and influencing factors of post-traumatic stress disorder among Chinese healthcare workers during the COVID-19 epidemic: a systematic review and meta-analysis. Front Psychiatry 2024; 15:1323111. [PMID: 38425999 PMCID: PMC10902088 DOI: 10.3389/fpsyt.2024.1323111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 01/29/2024] [Indexed: 03/02/2024] Open
Abstract
Background Post-traumatic stress disorder is an important psychological problem affecting the physical mental health of Chinese healthcare workers during the COVID-19 pandemic. Aims To estimate the prevalence and influencing factors of post-traumatic stress disorder (PTSD) among Chinese healthcare workers during COVID-19. Methods Search of Chinese and English literature in PubMed, EMbase, Web of Science, Medline, Elsevier, SpringerLink, China Biomedical Literature Database, CNKI, Wan-fang, and CQVIP for the period from December 2019 to August 2023. Stata 14.0 software was used for data analysis. The methodological quality of each study was scored, and data were extracted from the published reports. Pooled prevalence was estimated using the Random-effects model. Publication bias was evaluated using Egger's test and Begg's test. Results Twenty-one studies included 11841 Chinese healthcare workers in this review. First, the overall prevalence of Post-traumatic stress disorder among Chinese healthcare workers during the COVID-19 epidemic was 29.2% (95% CI: 20.7% to 33.7%). Twelve factors included in the meta-analysis were found to be protective against PTSD among Chinese healthcare workers: female, nurse, married, front-line work, less work experience, family or friend diagnosed with COVID-19, history of chronic disease and fear of COVID-19. Conversely, outside Hubei, higher education, social support and psychological resilience are protective factors. Conclusion These recent findings increase our understanding of the psychological status of Chinese healthcare workers and encourage that long-term monitoring and long-term interventions should be implemented to improve the mental health of Chinese healthcare workers in the aftermath of the COVID-19.
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Affiliation(s)
- Min Zhang
- Department of Applied Psychology, Binzhou Medical University, Yantai, Shandong, China
| | - Mingyu Bo
- Department of Applied Psychology, Binzhou Medical University, Yantai, Shandong, China
| | - Huixin Wang
- Department of Applied Psychology, Binzhou Medical University, Yantai, Shandong, China
| | - Wenyi Fan
- Department of Applied Psychology, Binzhou Medical University, Yantai, Shandong, China
| | - Lingling Kong
- Department of Applied Psychology, Binzhou Medical University, Yantai, Shandong, China
| | - Chunjie Zhou
- School of Information and Electrical Engineering, Ludong University, Yantai, Shandong, China
| | - Zhenxing Zhang
- School of Information and Electrical Engineering, Ludong University, Yantai, Shandong, China
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Cai X, Zhao T, Chen L, Zhang S, Yu A, Sun X, Gao S, Zhang Y, Wang C, Du J, Liu Y, Lu QB, Cui F. Job burnout among primary healthcare workers during COVID-19 pandemic: cross-sectional study in China. Front Public Health 2023; 11:1266864. [PMID: 38125852 PMCID: PMC10731250 DOI: 10.3389/fpubh.2023.1266864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 11/13/2023] [Indexed: 12/23/2023] Open
Abstract
Objective This study evaluated job burnout among primary healthcare workers (PHCWs) in China during the COVID-19 pandemic, explored its influencing factors, and examined PHCWs' preferences for reducing job burnout. Method We conducted a multicenter cross-sectional study in Heilongjiang, Sichuan, Anhui, Gansu, and Shandong Provinces. An electronic questionnaire survey was conducted through convenience sampling in communities from May to July 2022. We collected sociodemographic characteristics, job burnout level, job satisfaction, and preferred ways to reduce job burnout among PHCWs. Results The job burnout rate among PHCWs in China was 59.87% (937/1565). Scores for each dimension of job burnout were lower among PHCWs who had a better work environment (emotional exhaustion OR: 0.60; depersonalization OR: 0.73; personal accomplishment OR: 0.76) and higher professional pride (emotional exhaustion OR: 0.63; depersonalization OR: 0.70; personal accomplishment OR: 0.44). PHCWs with higher work intensity (emotional exhaustion OR: 2.37; depersonalization OR: 1.34; personal accomplishment OR: 1.19) had higher scores in all job burnout dimensions. Improving work environments and raising salaries were the preferred ways for PHCWs to reduce job burnout. Conclusion Strategies should be developed to improve job satisfaction among PHCWs, enhance their professional identity, and alleviate burnout to ensure the effective operation of the healthcare system, especially during periods of overwork.
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Affiliation(s)
- Xianming Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China
- Center for Infectious Diseases and Policy Research and Global Health and Infectious Diseases Group, Peking University, Beijing, China
| | - Tianshuo Zhao
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China
- Center for Infectious Diseases and Policy Research and Global Health and Infectious Diseases Group, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Linyi Chen
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China
- Center for Infectious Diseases and Policy Research and Global Health and Infectious Diseases Group, Peking University, Beijing, China
- Department of Epidemiology, University of Pittsburgh, Pennsylvania, PA, United States
| | - Sihui Zhang
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China
- Center for Infectious Diseases and Policy Research and Global Health and Infectious Diseases Group, Peking University, Beijing, China
| | - Ailing Yu
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, Gansu, China
| | - Xihong Sun
- Jining Center for Disease Control and Prevention, Jining, Shandong, China
| | - Shengnan Gao
- Harbin Nangang Center for Disease Control and Prevention, Harbin, Heilongjiang, China
| | - Yuanshan Zhang
- Dezhou Lingcheng Center for Disease Control and Prevention, Dezhou, Shandong, China
| | - Chao Wang
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Juan Du
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yaqiong Liu
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Qing-Bin Lu
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China
- Center for Infectious Diseases and Policy Research and Global Health and Infectious Diseases Group, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Fuqiang Cui
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China
- Center for Infectious Diseases and Policy Research and Global Health and Infectious Diseases Group, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
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Lushchak O, Orru M, Strilbytska O, Berezovskyi V, Cherkas A, Storey KB, Bayliak M. Metabolic and immune dysfunctions in post-traumatic stress disorder: what can we learn from animal models? EXCLI JOURNAL 2023; 22:928-945. [PMID: 38023568 PMCID: PMC10630527 DOI: 10.17179/excli2023-6391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 08/29/2023] [Indexed: 12/01/2023]
Abstract
Highly stressful experiences such as terrorist attacks, domestic and sexual violence may lead to persistent pathological symptoms such as those seen in posttraumatic stress disorder (PTSD). There is growing evidence of multiple metabolic and immune disorders underlying the etiology and maintenance of PTSD. However, changes in the functioning of various systems and organs associated with PTSD are not well understood. Studies of reliable animal models is one of the effective scientific tools that can be used to gain insight into the role of metabolism and immunity in the comorbidity associated with PTSD. Since much progress has been made using animal models to understand mechanisms of PTSD, we summarized metabolic and immune dysfunction in mice and humans to compare certain outcomes associated with PTSD. The systemic effects of PTSD include chronic activation of the sympathetic nervous system (psycho-emotional stress), that leads to impairment of the function of the immune system, increased release of stress hormones, and metabolic changes. We discuss PTSD as a multisystem disease with its neurological, immunological, and metabolic components.
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Affiliation(s)
- Oleh Lushchak
- Precarpathian National University, Ivano-Frankivsk, Ukraine
- Research and Development University, Ivano-Frankivsk, Ukraine
| | - Marco Orru
- Precarpathian National University, Ivano-Frankivsk, Ukraine
| | | | | | - Andriy Cherkas
- Research and Development University, Ivano-Frankivsk, Ukraine
| | | | - Maria Bayliak
- Precarpathian National University, Ivano-Frankivsk, Ukraine
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