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Meta-Regression on the Heterogenous Factors Contributing to the Prevalence of Mental Health Symptoms During the COVID-19 Crisis Among Healthcare Workers.
Chen, Xi; Chen, Jiyao; Zhang, Meimei; Dong, Rebecca Kechen; Li, Jizhen; Dong, Zhe; Ye, Yingying; Tong, Lingyao; Zhao, Ruiying; Cao, Wenrui; Li, Peikai; Zhang, Stephen X.
  • Chen X; Chinese Open Science Network, Xiamen, China.
  • Chen J; Department of Strategy and Entrepreneurship, College of Business, Oregon State University, Corvallis, OR, United States.
  • Zhang M; Department of Speech-Language-Hearing Sciences, Texas Tech University Health Sciences Center, Lubbock, TX, United States.
  • Dong RK; UniSA Business, University of South Australia, Adelaide, SA, Australia.
  • Li J; Department of Innovation, Entrepreneurship and Strategy, School of Economic and Management, Tsinghua University, Beijing, China.
  • Dong Z; Department of Sociology and Interuniversity Center for Social Science Theory and Methodology (ICS), University of Groningen, Groningen, Netherlands.
  • Ye Y; Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.
  • Tong L; Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
  • Zhao R; Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
  • Cao W; Department of Social, Health and Organizational Psychology, Utrecht University, Utrecht, Netherlands.
  • Li P; Department of Social, Health and Organizational Psychology, Utrecht University, Utrecht, Netherlands.
  • Zhang SX; Entrepreneurship, Innovation and Family Enterprise Discipline, Adelaide Business School, University of Adelaide, Adelaide, SA, Australia.
Front Psychiatry ; 13: 833865, 2022.
Article in English | MEDLINE | ID: covidwho-1775799
ABSTRACT

Objective:

This paper used meta-regression to analyze the heterogenous factors contributing to the prevalence rate of mental health symptoms of the general and frontline healthcare workers (HCWs) in China under the COVID-19 crisis.

Method:

We systematically searched PubMed, Embase, Web of Science, and Medrxiv and pooled data using random-effects meta-analyses to estimate the prevalence rates, and ran meta-regression to tease out the key sources of the heterogeneity.

Results:

The meta-regression results uncovered several predictors of the heterogeneity in prevalence rates among published studies, including severity (e.g., above severe vs. above moderate, p < 0.01; above moderate vs. above mild, p < 0.01), type of mental symptoms (PTSD vs. anxiety, p = 0.04), population (frontline vs. general HCWs, p < 0.01), sampling location (Wuhan vs. Non-Wuhan, p = 0.04), and study quality (p = 0.04).

Conclusion:

The meta-regression findings provide evidence on the factors contributing to the prevalence rate of mental health symptoms of the general and frontline healthcare workers (HCWs) to guide future research and evidence-based medicine in several specific directions. Systematic Review Registration https//www.crd.york.ac.uk/prospero/display_record.php?RecordID=220592, identifier CRD42020220592.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Language: English Journal: Front Psychiatry Year: 2022 Document Type: Article Affiliation country: Fpsyt.2022.833865

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Language: English Journal: Front Psychiatry Year: 2022 Document Type: Article Affiliation country: Fpsyt.2022.833865