López-Soto Olga Patricia, Aristizábal-Hoyos Juan Alberto, Fuentes-Barría Héctor, Aguilera-Eguía Raúl, Gallón-Bedoya Karen Sofia, Ceballos-Montoya Alejandra, Angarita-Dávila Lissé, Roco-Videla Ángel, Caviedes-Olmos Marcela
Departamento de Salud Oral, Facultad de Salud, Universidad Autónoma de Manizales, Caldas 170008, Colombia.
Vicerrectoría de Investigación e Innovación, Universidad Arturo Prat, Iquique 1110939, Chile.
J Clin Med. 2025 Sep 17;14(18):6521. doi: 10.3390/jcm14186521.
: Sleep bruxism (SB) is increasingly recognized not merely as a movement disorder but as a multifactorial condition in which physiological, behavioral, and contextual factors converge. : To comprehensively characterize SB in young adults, integrating polysomnography (PSG) and surface electromyography (sEMG) to describe sleep architecture, periodic limb movements (PLMs), and masticatory muscle activity; compare these parameters with matched controls; and explore clinical correlations relevant to dental practice and individualized management. : Forty university adults (20 PSG-confirmed SB; 20 controls) underwent PSG assessment of total sleep time, sleep stages, arousals, apnea, oximetry, and PLMs. EMG activity of the masseter and temporalis muscles was recorded in 37 participants (18 SB, 19 controls). Statistical analyses included -tests, Mann-Whitney U tests, and multivariate logistic regression to identify independent predictors of SB. : SB participants exhibited higher bruxism event counts ( ≤ 0.001; PS = 0.94), increased PLMs ( ≤ 0.01; PS = 0.75), shorter REM sleep duration ( = 0.04; d = 0.69), and higher bruxism-related arousal indices ( ≤ 0.001; PS = 83.4). Left masseter activity differed significantly ( = 0.03; d = 0.50), while other muscle measures showed no significant differences. Logistic regression identified age (OR = 0.59, = 0.02), PLMs (OR = 0.96, = 0.03), and REM sleep duration (OR = 0.98, = 0.05) as independent predictors, explaining 58% of the variance. : These findings provide a comprehensive profile of SB in young adults. Integrating PSG, sEMG, and oral assessments supports early diagnosis, personalized management, and interdisciplinary collaboration to prevent complications.
睡眠磨牙症(SB)越来越被认为不仅是一种运动障碍,而是一种生理、行为和环境因素相互交织的多因素病症。为全面描述年轻成年人的睡眠磨牙症,整合多导睡眠图(PSG)和表面肌电图(sEMG)以描述睡眠结构、周期性肢体运动(PLMs)和咀嚼肌活动;将这些参数与匹配的对照组进行比较;并探索与牙科实践和个体化管理相关的临床关联。40名成年大学生(20名经PSG确诊为睡眠磨牙症者;20名对照组)接受了PSG评估,内容包括总睡眠时间、睡眠阶段、觉醒、呼吸暂停、血氧饱和度和PLMs。在37名参与者(18名睡眠磨牙症者,19名对照组)中记录了咬肌和颞肌的肌电图活动。统计分析包括t检验、曼-惠特尼U检验和多因素逻辑回归,以确定睡眠磨牙症的独立预测因素。睡眠磨牙症参与者表现出更高的磨牙事件计数(P≤0.001;PS=0.94)、更多的PLMs(P≤0.01;PS=0.75)、更短的快速眼动(REM)睡眠时间(P=0.04;d=0.69)以及更高的与磨牙症相关的觉醒指数(P≤0.001;PS=83.4)。左侧咬肌活动存在显著差异(P=0.03;d=0.50),而其他肌肉测量结果无显著差异。逻辑回归确定年龄(OR=0.59,P=0.02)、PLMs(OR=0.96,P=0.03)和REM睡眠时间(OR=0.98,P=0.05)为独立预测因素,解释了58%的方差。这些发现提供了年轻成年人睡眠磨牙症的全面概况。整合PSG、sEMG和口腔评估有助于早期诊断、个性化管理以及跨学科合作,以预防并发症。