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

Autor(es)

Rosar, Joao Vicente ^[1] ; Salome Marquezin, Maria Carolina ^[2] ; Pizzolato, Aianne Souto ^[2] ; Kobayashi, Fernanda Yukie ^[3] ; Bussadori, Sandra Kalil ^[3] ; Pereira, Luciano Jose ^[4] ; Castelo, Paula Midori ^[2]

Afiliação do(s) autor(es)

^[1] Univ Chapeco, Dept Orthodont, Chapeco, SC - Brazil

^[2] Univ Fed Sao Paulo, Dept Pharmaceut Sci, R Sao Nicolau 210, 1 Andar, Diadema, SP - Brazil

^[3] Univ Nove De Julho, Dept Rehabil Sci, Sao Paulo - Brazil

^[4] Univ Fed Lavras, Dept Hlth Sci, Lavras - Brazil

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF CLINICAL SLEEP MEDICINE; v. 17, n. 5, p. 949-956, MAY 1 2021.
• Citações Web of Science: 0

Resumo

Study Objectives: The aim was to identify predictive factors for sleep bruxism (SB) severity among polysomnographic parameters, salivary cortisol levels, temporomandibular disorders, age, and sex. Methods: Young adults (19-30 years) were screened for self-/roommate reports of teeth grinding/clenching during sleep associated with clinical signs of tooth wear. Individuals positive for both conditions were administered a polysomnographic exam to provide a definite diagnosis of SB (n = 28). Healthy participants without SB signs/symptoms were also included (n = 15). The Research Diagnostic Criteria for Temporomandibular Disorders was applied to determine functional, muscular, and articular domains of the Temporomandibular Index. Cortisol awakening levels were measured in saliva. Principal component analysis was used to extract the latent components emerging from polysomnographic results, and 2 regression models were adjusted to predict the number and duration of bruxism episodes. Results: Principal component analysis resulted in 4 components-C1: %N1, total sleep time, sleep efficiency, arousals/microarousals; C2: %N2, %N3; C3: periodic limb movements and apneas; C4: %REM and REM latency. The number of SB episodes/h was predicted by increasing muscular scores and C2 (decrease in %N2 and increase in %N3) (adjusted R-2 = 45%; P =001). The total time of SB episodes was predicted by decreased articular and increased functional scores, age, and female sex (adjusted R-2 = 36%; P = 0.010). Salivary cortisol levels were not associated with SB severity and did not differ between groups. Conclusions: The findings showed that SB severity was predicted by muscular and functional scores, female sex, and distinct polysomnographic patterns, contributing to the deeper knowledge of the underlying pathophysiology of SB severity; additionally, the findings can help to formulate health approaches that are specific to the patient and will better assist in treating this condition. (AU)

• Processo FAPESP: 17/26400-6 - Impacto da gastroplastia na composição salivar e na citomorfologia da mucosa oral: acompanhamento de três e seis meses
• Beneficiário: Paula Midori Castelo Ferrua
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 16/10940-9 - Impacto da gastroplastia na composição salivar e na citomorfologia da mucosa oral: acompanhamento de três e seis meses
• Beneficiário: Maria Carolina Salomé Marquezin
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado