A network analysis of self-reported sleep bruxism in the Netherlands sleep registry: its associations with insomnia and several demographic, psychological, and life-style factors

Thiprawee Chattrattrai*, Tessa F. Blanken, Frank Lobbezoo, Naichuan Su, Ghizlane Aarab, Eus J.W. Van Someren

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Objectives: To investigate the association between self-reported sleep bruxism and insomnia and their potential risk factors (eg, depression and anxiety), and to construct a network model with all these factors. Methods: We recruited 2251 participants from the Netherlands Sleep Registry. All participants completed questionnaires on self-reported sleep bruxism, insomnia, depression, anxiety, smoking frequency, and alcohol and caffeine consumption. The associations between self-reported sleep bruxism and other variables were analyzed by univariate analysis, multivariate logistic regression, and network analysis. Results: Although univariate analysis showed that there was a positive association between sleep bruxism and insomnia (P < 0.001), this association disappeared in the multivariate logistic regression model (P = 0.258). However, multivariate logistic regression did show an association between self-reported sleep bruxism and anxiety (OR = 1.087, 95% CI 1.041–1.134). The network model showed that there was no direct link between self-reported sleep bruxism and insomnia. However, there was an indirect link between self-reported sleep bruxism and insomnia via anxiety. Conclusions: Although self-reported sleep bruxism has no direct association with insomnia, anxiety is a bridging factor between these variables.

Original languageEnglish
Pages (from-to)63-70
Number of pages8
JournalSleep Medicine
Volume93
Early online date30 Mar 2022
DOIs
Publication statusPublished - May 2022

Bibliographical note

Funding Information:
TC has been supported by a Mahidol University's Academic Development Scholarship .

Funding Information:
This work was in part facilitated by funding from ZonMw Open Competition, project 09120011910032. TB has been supported by a Vrije Universiteit Amsterdam University Research Fellowship and a 284/20 BIAL Foundation Grant.

Publisher Copyright:
© 2022 The Author(s)

Keywords

  • Anxiety
  • Insomnia
  • Network analysis
  • Sleep bruxism

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