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Impact of Work Schedule Characteristics on Teacher Mental Health and Burnout Symptoms While Remote Working



Details

  • Personal Author:
  • Description:
    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. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • ISSN:
    0271-3586
  • Document Type:
  • Funding:
  • Genre:
  • Place as Subject:
  • CIO:
  • Topic:
  • Location:
  • Volume:
    66
  • Issue:
    10
  • NIOSHTIC Number:
    nn:20068220
  • Citation:
    Am J Ind Med 2023 Oct; 66(10):884-896
  • Contact Point Address:
    Jennifer M. Cavallari, ScD, CIH, Department of Public Health Sciences, UConn School of Medicine, UConn Health, 263 Farmington Avenue, MC 6325, Farmington, CT 06030-6325
  • Email:
    cavallari@uchc.edu
  • Federal Fiscal Year:
    2024
  • NORA Priority Area:
  • Performing Organization:
    University of Connecticut School of Medicine, Farmington
  • Peer Reviewed:
    True
  • Start Date:
    20210901
  • Source Full Name:
    American Journal of Industrial Medicine
  • End Date:
    20260831
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:4b800dfab856ff1c85b1a3b58fc07146ed9d6d2d07ae30f0650aacaa33faa99ff0368884b6b586410ad07ca9c3f5c3ccc12ceca4278823d470be2b540c7f66a9
  • Download URL:
  • File Type:
    Filetype[PDF - 767.50 KB ]
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