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

TY - JOUR

T1 - A network analysis of self-reported sleep bruxism in the Netherlands sleep registry

T2 - its associations with insomnia and several demographic, psychological, and life-style factors

AU - Chattrattrai, Thiprawee

AU - Blanken, Tessa F

AU - Lobbezoo, Frank

AU - Su, Naichuan

AU - Aarab, Ghizlane

AU - Van Someren, Eus J W

N1 - Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved.

PY - 2022/3/30

Y1 - 2022/3/30

N2 - 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.

AB - 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.

U2 - 10.1016/j.sleep.2022.03.018

DO - 10.1016/j.sleep.2022.03.018

M3 - Article

C2 - 35429746

SN - 1389-9457

VL - 93

SP - 63

EP - 70

JO - Sleep Medicine

JF - Sleep Medicine

ER -