COVID-19 pandemic-related anxiety, stress, and depression among teachers: A systematic review and meta-analysis.
BACKGROUND: As millions of teachers have been forced to rely upon remote teaching due to the closure of schools during the COVID-19 pandemic. It is particularly important to understand the extent to which teacher's psychological wellbeing has been affected by this global health crisis. OBJECTIVE: Th...
| Publicado en: | Work Vol. 73; no. 1; pp. 3 - 28 |
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| Autores principales: | , , , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159469114&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159469114 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10519815 3RC jtl: Work issn: 10519815 maglogo: N pubinfo: dt: 2022 vid: 73 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 159469114 156829903 159469114 159469114 10.3233/WOR-220062 159469114 ppf: 3 ppct: 25 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: COVID-19 pandemic-related anxiety, stress, and depression among teachers: A systematic review and meta-analysis. aug: au: Ma, Kang Liang, Luyao Chutiyami, Muhammad Nicoll, Sandy Khaerudin, Teguh Ha, Xuan Van affil: Jiangsu Provincial Key Constructive Laboratory for Big Data of Psychology and Cognitive Science, Yancheng Teachers University, Yancheng, Jiangsu, China sug: subj: COVID-19 Pandemic Psychosocial Factors Anxiety Stress Depression Teachers Psychological Well-Being Human Systematic Review Meta Analysis Funding Source ERIC Database Psycinfo Confidence Intervals Prevalence Mental Health Checklists Cross Sectional Studies Data Analysis Software Linear Regression Pretest-Posttest Design Quality Assessment Sociodemographic Factors Self-Efficacy Hardiness Job Satisfaction Job Security Male Female Adult Middle Age Convenience Sample Prospective Studies Quasi-Experimental Studies Qualitative Studies Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: BACKGROUND: As millions of teachers have been forced to rely upon remote teaching due to the closure of schools during the COVID-19 pandemic. It is particularly important to understand the extent to which teacher's psychological wellbeing has been affected by this global health crisis. OBJECTIVE: The aim of this comprehensive systematic review and meta-analysis was twofold: 1) ascertain the prevalence of stress, anxiety, depression among teachers during the COVID-19 outbreak; 2) identify the associated factors of these psychological wellbeing domains of the teachers. METHODS: Academic Search Premier, Eric, PsycInfo, Scopus, and Web of Science were searched for articles published from December 2019 and July 2021, using search terms including "COVID-19" "anxiety" "depression" "stress", and "teachers". RESULTS: This study included 54 studies synthesising data from 256,896 teachers across 22 countries. The meta-analysis showed higher prevalence of stress (62.6%, 95% Confidence Interval [CI]: 46.1–76.6), compared to anxiety (36.3%, 95% CI: 28.5–44.9) and depression (59.9%, 95% CI: 43.4–74.4) among teachers. Teachers' experiences of these psychological issues were associated with various socio-demographic and institutional factors, including gender, nature of online teaching, job satisfaction, teaching experience, and the volume of workload. Additionally, several protective factors, such as regular exercises and provision of technical support for online teaching, reduced teachers' negative psychological experiences. CONCLUSION: There is a need for authorities to formulate educational policies to improve teachers' wellbeing at the time of global crisis. Special attention should be paid to assist female teachers in overcoming physical and mental stressors. pubtype: Academic Journal doctype: meta analysis research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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