Impact of work schedule characteristics on teacher mental health and burnout symptoms while remote working.


Journal

American journal of industrial medicine
ISSN: 1097-0274
Titre abrégé: Am J Ind Med
Pays: United States
ID NLM: 8101110

Informations de publication

Date de publication:
10 2023
Historique:
revised: 07 07 2023
received: 25 04 2023
accepted: 18 07 2023
pmc-release: 01 10 2024
medline: 13 9 2023
pubmed: 11 8 2023
entrez: 10 8 2023
Statut: ppublish

Résumé

During the COVID-19 pandemic, teachers quickly shifted to remote teaching with many teachers experiencing increased work demands with limited resources, affecting both mental health and work. Within a cross-sectional study, we evaluated the relationship between one type of work demand, non-standard work schedule characteristics, and depressive and burnout symptoms in kindergarten through 8th grade U.S. teachers working remotely in May 2020. We further assessed the impact of COVID-19 and work resources. Work schedule characteristics were self-assessed across six domains on a 5-point frequency scale from always (1) to never (5). We used multilevel Poisson models to calculate prevalence ratios (PRs) and 95% confidence intervals (CIs). In fully adjusted models, frequently working unexpectedly was associated with a higher prevalence of depressive symptoms (PR = 1.18, 95% CI = 1.07-1.31, p < 0.01), high emotional exhaustion (PR = 1.17, 95% CI = 1.05-1.30, p < 0.01), and high depersonalization (PR = 1.40, 95% CI = 1.02-1.92, p = 0.03). Remote work resources were significantly associated with a lower prevalence of depressive symptoms (PR = 0.88, 95% CI = 0.79-0.98, p = 0.02). There was a linear association between low coworker support and a low sense of personal accomplishment (PR = 0.68, 95% CI = 0.53-0.87, p < 0.01). Frequently having to work unexpectedly while remote teaching was associated with symptoms of depression and burnout during the COVID-19 pandemic. Workplaces should support predictable working times to lessen the disruption caused by unexpected work to promote worker well-being.

Sections du résumé

BACKGROUND
During the COVID-19 pandemic, teachers quickly shifted to remote teaching with many teachers experiencing increased work demands with limited resources, affecting both mental health and work.
METHODS
Within a cross-sectional study, we evaluated the relationship between one type of work demand, non-standard work schedule characteristics, and depressive and burnout symptoms in kindergarten through 8th grade U.S. teachers working remotely in May 2020. We further assessed the impact of COVID-19 and work resources. Work schedule characteristics were self-assessed across six domains on a 5-point frequency scale from always (1) to never (5). We used multilevel Poisson models to calculate prevalence ratios (PRs) and 95% confidence intervals (CIs).
RESULTS
In fully adjusted models, frequently working unexpectedly was associated with a higher prevalence of depressive symptoms (PR = 1.18, 95% CI = 1.07-1.31, p < 0.01), high emotional exhaustion (PR = 1.17, 95% CI = 1.05-1.30, p < 0.01), and high depersonalization (PR = 1.40, 95% CI = 1.02-1.92, p = 0.03). Remote work resources were significantly associated with a lower prevalence of depressive symptoms (PR = 0.88, 95% CI = 0.79-0.98, p = 0.02). There was a linear association between low coworker support and a low sense of personal accomplishment (PR = 0.68, 95% CI = 0.53-0.87, p < 0.01).
CONCLUSIONS
Frequently having to work unexpectedly while remote teaching was associated with symptoms of depression and burnout during the COVID-19 pandemic. Workplaces should support predictable working times to lessen the disruption caused by unexpected work to promote worker well-being.

Identifiants

pubmed: 37563744
doi: 10.1002/ajim.23522
pmc: PMC10947992
mid: NIHMS1964246
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

884-896

Subventions

Organisme : NIOSH CDC HHS
ID : U19 OH012299
Pays : United States

Informations de copyright

© 2023 Wiley Periodicals LLC.

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Auteurs

Jennifer M Cavallari (JM)

Department of Public Health Sciences, UConn School of Medicine, Farmington, Connecticut, USA.
Division of Occupational and Environmental Medicine, Department of Medicine, UConn School of Medicine, Farmington, Connecticut, USA.

Jennifer L Garza (JL)

Division of Occupational and Environmental Medicine, Department of Medicine, UConn School of Medicine, Farmington, Connecticut, USA.

Natalie R Charamut (NR)

Department of Educational Psychology, Neag School of Education, University of Connecticut, Storrs, Connecticut, USA.

Cheyenne Szarka (C)

Department of Educational Psychology, Neag School of Education, University of Connecticut, Storrs, Connecticut, USA.

Spencer D Perry (SD)

Department of Educational Psychology, Neag School of Education, University of Connecticut, Storrs, Connecticut, USA.

Rick A Laguerre (RA)

Department of Psychology, Montclair State University, Montclair, New Jersey, USA.

Lisa M H Sanetti (LMH)

Department of Educational Psychology, Neag School of Education, University of Connecticut, Storrs, Connecticut, USA.

Alicia G Dugan (AG)

Division of Occupational and Environmental Medicine, Department of Medicine, UConn School of Medicine, Farmington, Connecticut, USA.

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