Meta-Regression on the Heterogenous Factors Contributing to the Prevalence of Mental Health Symptoms During the COVID-19 Crisis Among Healthcare Workers

Xi Chen; Jiyao Chen; Meimei Zhang; Rebecca Kechen Dong; Jizhen Li; Zhe Dong; Yingying Ye; Lingyao Tong; Ruiying Zhao; Wenrui Cao; Peikai Li; Stephen X. Zhang

doi:10.3389/fpsyt.2022.833865

Frontiers in Psychiatry (Mar 2022)

Meta-Regression on the Heterogenous Factors Contributing to the Prevalence of Mental Health Symptoms During the COVID-19 Crisis Among Healthcare Workers

Xi Chen,
Jiyao Chen,
Meimei Zhang,
Rebecca Kechen Dong,
Jizhen Li,
Zhe Dong,
Yingying Ye,
Lingyao Tong,
Ruiying Zhao,
Wenrui Cao,
Peikai Li,
Stephen X. Zhang

Affiliations

Xi Chen: Chinese Open Science Network, Xiamen, China
Jiyao Chen: Department of Strategy and Entrepreneurship, College of Business, Oregon State University, Corvallis, OR, United States
Meimei Zhang: Department of Speech-Language-Hearing Sciences, Texas Tech University Health Sciences Center, Lubbock, TX, United States
Rebecca Kechen Dong: UniSA Business, University of South Australia, Adelaide, SA, Australia
Jizhen Li: Department of Innovation, Entrepreneurship and Strategy, School of Economic and Management, Tsinghua University, Beijing, China
Zhe Dong: Department of Sociology and Interuniversity Center for Social Science Theory and Methodology (ICS), University of Groningen, Groningen, Netherlands
Yingying Ye: Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
Lingyao Tong: Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
Ruiying Zhao: Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
Wenrui Cao: Department of Social, Health and Organizational Psychology, Utrecht University, Utrecht, Netherlands
Peikai Li: Department of Social, Health and Organizational Psychology, Utrecht University, Utrecht, Netherlands
Stephen X. Zhang: 0Entrepreneurship, Innovation and Family Enterprise Discipline, Adelaide Business School, University of Adelaide, Adelaide, SA, Australia

DOI: https://doi.org/10.3389/fpsyt.2022.833865
Journal volume & issue: Vol. 13

Abstract

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ObjectiveThis 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.MethodWe 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.ResultsThe 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).ConclusionThe 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 Registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=220592, identifier: CRD42020220592.

Published in Frontiers in Psychiatry

ISSN: 1664-0640 (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry: Neurology. Diseases of the nervous system: Psychiatry
Website: https://www.frontiersin.org/journals/psychiatry

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