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Impact of work schedule characteristics on teacher mental health and burnout symptoms while remote working.
Cavallari, Jennifer M; Garza, Jennifer L; Charamut, Natalie R; Szarka, Cheyenne; Perry, Spencer D; Laguerre, Rick A; Sanetti, Lisa M H; Dugan, Alicia G.
Afiliação
  • Cavallari JM; Department of Public Health Sciences, UConn School of Medicine, Farmington, Connecticut, USA.
  • Garza JL; Division of Occupational and Environmental Medicine, Department of Medicine, UConn School of Medicine, Farmington, Connecticut, USA.
  • Charamut NR; Division of Occupational and Environmental Medicine, Department of Medicine, UConn School of Medicine, Farmington, Connecticut, USA.
  • Szarka C; Department of Educational Psychology, Neag School of Education, University of Connecticut, Storrs, Connecticut, USA.
  • Perry SD; Department of Educational Psychology, Neag School of Education, University of Connecticut, Storrs, Connecticut, USA.
  • Laguerre RA; Department of Educational Psychology, Neag School of Education, University of Connecticut, Storrs, Connecticut, USA.
  • Sanetti LMH; Department of Psychology, Montclair State University, Montclair, New Jersey, USA.
  • Dugan AG; Department of Educational Psychology, Neag School of Education, University of Connecticut, Storrs, Connecticut, USA.
Am J Ind Med ; 66(10): 884-896, 2023 10.
Article em En | MEDLINE | ID: mdl-37563744
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Esgotamento Profissional / COVID-19 Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Am J Ind Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Esgotamento Profissional / COVID-19 Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Am J Ind Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
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