Abstract
Sleep bruxism (SB) has been associated with biological and psychosocial factors. The assessment of SB includes self-report, clinical evaluation, and polysomnography. This study aimed to investigate the associations of self-reported SB with other sleep disorders and demographic, psychological, and lifestyle factors in the adult general population, and to investigate whether self-reported SB and polysomnographically (PSG) confirmed SB provide similar outcomes in terms of their associated factors. We recruited 915 adults from the general population in Sao Paulo, Brazil. All participants underwent a one-night PSG recording and answered questions about sex, age, BMI, insomnia, OSA risk, anxiety, depression, average caffeine consumption, smoking frequency, and alcohol consumption frequency. We investigated the link between SB and the other variables in univariate, multivariate, and network models, and we repeated each model once with self-reported SB and once with PSG-confirmed SB. Self-reported SB was only significantly associated with sex (p = 0.042), anxiety (p = 0.002), and depression (p = 0.03) in the univariate analysis, and was associated with insomnia in the univariate (p < 0.001) and multivariate (β = 1.054, 95%CI 1.018–1.092, p = 0.003) analyses. Network analysis showed that self-reported SB had a direct positive edge to insomnia, while PSG-confirmed SB was not significantly associated with any of the other variables. Thus, sleep bruxism was positively associated with insomnia only when self-reported, while PSG-confirmed SB was not associated with any of the included factors.
Original language | English |
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Article number | e13957 |
Pages (from-to) | 1-12 |
Number of pages | 12 |
Journal | Journal of Sleep Research |
Volume | 33 |
Issue number | 2 |
Early online date | 28 May 2023 |
DOIs | |
Publication status | Published - Apr 2024 |
Bibliographical note
Publisher Copyright:© 2023 The Authors. Journal of Sleep Research published by John Wiley & Sons Ltd on behalf of European Sleep Research Society.
Funding
This study was supported by grants from the Associação Fundo de Incentivo à Pesquisa (AFIP). Monica L. Andersen and Sergio Tufik are recipients of CNPq Fellowships. Thiprawee Chattrattrai has been supported by a Mahidol University's Academic Development Scholarship.
Funders | Funder number |
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Mahidol University | |
Associação Fundo de Incentivo à Pesquisa |
Keywords
- adult general population
- bruxism
- data science
- insomnia
- polysomnography
- self-report