Ohrbach Richard, Markiewicz Michael R, McCall Willard D
Department of Oral Diagnostic Sciences, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY 14214, USA.
Eur J Oral Sci. 2008 Oct;116(5):438-44. doi: 10.1111/j.1600-0722.2008.00560.x.
In contrast to sleep-related oral parafunctional behaviors, little is known about waking oral parafunctional behaviors. The Oral Behaviors Checklist contains terms referring to a variety of non-observable behaviors that are reliable when prompted (e.g. 'clench') but validity data are absent. Our goal was to assess whether (i) each behavioral term is distinct electromyographically, and (ii) temporomandibular disorder (TMD) subjects differ from non-TMD subjects in their performance. Surface electromyographic (EMG) activity was used to measure bilateral masseter, temporalis, and suprahyoid muscles while subjects (27 patients with TMD; 27 healthy controls) performed ten oral behaviors without explanation. Electromyographic data were averaged between bilateral muscles and two trials. A multivariate construct (jaw muscle activity) was analyzed using Wilks lambda within multivariate analysis of variance (manova). Obvious behaviors (e.g. clench, read, tongue press) exhibited expected EMG patterns, and patients and controls produced identical profile plots of the EMG data. Of 10 tested behaviors, nine were found to be associated with significantly differing proportions of amplitudes across muscles and were thus unique. Behaviors with similar terms were associated with different EMG patterns. The present data support the specificity of behavioral terms and performances. Implications include causation related to TMD based on subtle behaviors that occur at a high frequency.
与睡眠相关的口腔副功能行为不同，人们对清醒时的口腔副功能行为知之甚少。口腔行为检查表包含一些指各种不可观察行为的术语，这些行为在被提示时是可靠的（例如“紧咬”），但缺乏效度数据。我们的目标是评估：（i）每个行为术语在肌电图上是否不同；（ii）颞下颌关节紊乱症（TMD）患者与非TMD患者在行为表现上是否存在差异。当受试者（27名TMD患者；27名健康对照者）在无解释的情况下进行十种口腔行为时，使用表面肌电图（EMG）活动来测量双侧咬肌、颞肌和舌骨上肌群。将双侧肌肉和两次试验之间的肌电图数据进行平均。在多变量方差分析（MANOVA）中使用威尔克斯λ分析多变量结构（颌肌活动）。明显的行为（如紧咬、阅读、舌压）表现出预期的肌电图模式，患者和对照者产生了相同的肌电图数据剖面图。在测试的10种行为中，有9种行为被发现与不同肌肉间显著不同的振幅比例相关，因此是独特的。具有相似术语的行为与不同的肌电图模式相关。目前的数据支持行为术语和表现的特异性。这意味着基于高频发生的细微行为与TMD存在因果关系。
