Publication Cover
CRANIO®
The Journal of Craniomandibular & Sleep Practice
Volume 42, 2024 - Issue 3
213
Views
4
CrossRef citations to date
0
Altmetric
TMJ

Temporomandibular disorder symptoms, sleep quality, and burnout syndrome in teachers

, DDS, MScORCID Icon, , DDS, PhDORCID Icon, , DDS, PhDORCID Icon, , SLP, PhDORCID Icon & , DDS, PhDORCID Icon
Pages 279-284 | Published online: 26 Aug 2021
 

ABSTRACT

Objective

The aim of this study was to assess the association between the symptoms of temporomandibular disorder (TMD), sleep quality, and indicators of burnout syndrome in teachers.

Methods

This cross-sectional study included 330 teachers with an average age of 43 years. The Diagnostic Criteria for Temporomandibular Disorders, Pittsburgh Sleep Quality Index, and the questionnaire to assess burnout syndrome - teachers’ version were used for data collection. Simple and multiple logistic regression models were applied to analyze the independent variables at a 5% significance level.

Results

Teachers with poor sleep quality, indicators of burnout syndrome, female sex, and impact on the domains of psychological exhaustion and guilt were, respectively, 1.91,1.92, 2.66, 1.97, and 2.60 times more likely to present at least one TMD symptom (p < 0.05).

Conclusion

Teachers with indicators of burnout syndrome and impaired sleep quality were more likely to present with at least one TMD symptom.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 243.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.