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A network analysis of self-reported sleep bruxism in the Netherlands sleep registry

Research group Van Someren
Publication year 2022
Published in Sleep Medicine
Authors T.F. Blanken, Eus Van Someren, Thiprawee Chattrattrai, Frank Lobbezoo, Naichuan Su, Ghizlane Aarab,

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.

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