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Identifying predictive factors for sleep bruxism severity using clinical and polysomnographic parameters: a principal component analysis

Identifying predictive factors for sleep bruxism severity using clinical and polysomnographic parameters: a principal component analysis

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https://jcsm.aasm.org/doi/abs/10.5664/jcsm.9078

The aim was to identify predictive factors of sleep bruxism (SB) severity among polysomnographic (PSG) parameters, salivary cortisol levels, temporomandibular disorders, age and sex. Young adults (19-30y) were screened for self/roommate reports of teeth grinding/clenching during sleep associated to clinical signs of tooth wear.