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
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... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2022 |
Reihe/Periodikum: | Chattrattrai , T , Blanken , T F , Lobbezoo , F , Su , N , Aarab , G & van Someren , E J W 2022 , ' 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 ' , Sleep Medicine , vol. 93 , pp. 63-70 . https://doi.org/10.1016/j.sleep.2022.03.018 |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-27232798 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://research.vumc.nl/en/publications/86acd642-468a-4afb-9a24-e037e7b3b99d |
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.