夜磨牙症
咀嚼力
生物标志物
医学
睡眠(系统调用)
索引(排版)
物理医学与康复
肌电图
口腔正畸科
计算机科学
生物
生物化学
万维网
操作系统
作者
Mieszko Więckiewicz,Helena Martynowicz,Gilles Lavigne,Takafumi Kato,Frank Lobbezoo,Joanna Smardz,Jari Ahlberg,Ephraim Winocur,Alona Emodi‐Perlman,Claudia Restrepo,Anna Wojakowska,Paweł Gać,Grzegorz Mazur,Marta Waliszewska‐Prosół,Witold Świenc,Daniele Manfredini
摘要
The objective of the current study was to evaluate the clinical utility of bruxism episode index in predicting the level of masticatory muscle pain intensity. The study involved adults (n = 220) recruited from the Outpatient Clinic of Temporomandibular Disorders at the Department of Experimental Dentistry, Wroclaw Medical University, during the period 2017-2022. Participants underwent medical interview and dental examination, focusing on signs and symptoms of sleep bruxism. The intensity of masticatory muscle pain was gauged using the Numeric Rating Scale. Patients identified with probable sleep bruxism underwent further evaluation through video-polysomnography. Statistical analyses included the Shapiro-Wilk test, Spearman's rank correlation test, association rules, receiver operating characteristic curves, linear regression, multivariate regression and prediction accuracy analyses. The analysis of correlation and one-factor linear regression revealed no statistically significant relationships between bruxism episode index and Numeric Rating Scale (p > 0.05 for all analyses). Examination of receiver operating characteristic curves and prediction accuracy indicated a lack of predictive utility for bruxism episode index in relation to masticatory muscle pain intensity. Multivariate regression analysis demonstrated no discernible relationship between bruxism episode index and Numeric Rating Scale across all examined masticatory muscles. In conclusion, bruxism episode index and masticatory muscle pain intensity exhibit no correlation, and bruxism episode index lacks predictive value for masticatory muscle pain. Clinicians are advised to refrain from employing the frequency of masticatory muscle activity as a method for assessing the association between masticatory muscle pain and sleep bruxism.
科研通智能强力驱动
Strongly Powered by AbleSci AI