The Bruxoff Device as a Screening Method for Sleep Bruxism in Dental Practice

Saczuk, Klara; Łapińska, Barbara; Wilmont, Paulina; Pawlak, Łukasz; Łukomska−Szymańska, Monika

doi:10.3390/jcm8070930

Cited by 31 publications

(26 citation statements)

References 74 publications

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“…The present study showed the statistically significant correlation between the PSS-10 score and Bruxism Index, evaluated using the Bruxoff device. According to previous studies, Bruxoff sensitivity is estimated at 92–100%, whereas its specificity ranges from 76% to 91.6% [29,35,36], showing high reliability of the device in diagnosing bruxism. The results of the present study emphasized the notion that the higher perceived stress score, the higher the Bruxism Index.…”

Section: Discussionmentioning

confidence: 99%

“…Masseter and temporal muscles were examined, both the origins and heads of the muscles, for signs of pain. In addition, the study used a portable electromyography/electrocardiogram (EMG/ECG) device (Bruxoff, Bioelettronica, Turin, Italy), according to the protocol described by Saczuk et al [29], to evaluate the overnight Bruxism Index (number of bruxism episodes per hour) in both groups. Based on the examination, participants were divided into study and control groups.…”

Section: Methodsmentioning

confidence: 99%

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Relationship between Sleep Bruxism, Perceived Stress, and Coping Strategies

Saczuk

Łapińska

Wilmont

et al. 2019

IJERPH

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Sleep bruxism (SB) is a common phenomenon defined as a masticatory muscle activity during sleep. Untreated severe SB can have significant dental and orofacial consequences. SB has often been linked with stress and maladaptive coping strategies. Therefore, in this study, a potential correlation between SB, perceived stress and coping strategies was evaluated. A total of 60 adults were enrolled into this study. Participants underwent a detailed intra- and extraoral exam focused on detecting bruxism symptoms. Additionally, the overnight Bruxism Index was recorded using the Bruxoff device. A total of 35 participants with symptoms of bruxism were assigned to the study group, whereas 25 asymptomatic participants were assigned to the control group. The Perceived Stress Scale (PSS-10) was used for stress assessment and Brief-COPE for coping strategies. Results showed that the higher the PSS-10 score, the higher the Bruxism Index was in the study group. Positive coping strategies were chosen most frequently in the control group, while maladaptive ones were chosen in the study group. It can be concluded that there is a relationship between perceived stress and sleep bruxism. Moreover, the type of coping strategies used by participants may have an impact on sleep bruxism, but the relationship should be further investigated.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Relationship between Sleep Bruxism, Perceived Stress, and Coping Strategies

Saczuk

Łapińska

Wilmont

et al. 2019

IJERPH

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“…Stres merupakan salah satu faktor yang dapat memicu terjadinya bruxism pada wanita. 27 Hasil analisis pada penelitian ini menunjukan bahwa selisih ketinggian tulang kortikal mandibula pada penderita dan bukan penderita bruxism hanya sebesar 0,0184mm pada regio kanan dan 0,0125mm pada regio kiri dimana secara statistik tidak terdapat perbedaan yang signifikan. Keterbatasan pada penelitian ini yaitu dilakukan dengan menggunakan data sekunder sehingga data pasien yang didapat terbatas, seperti lamanya pasien menderita bruxism, kebiasaan buruk pasien lainnya, dan tingkat keparahan dari bruxism yang diderita.…”

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<p>Perbedaan ketinggian tulang kortikal mandibula antara penderita bruxism dan bukan penderita bruxism berdasarkan indeks panoramik mandibular</p><p>Differences in the mandibular cortical bone height between bruxism and non-bruxism patients based on the panoramic mandibular index</p>

2020

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Pendahuluan: Bruxism adalah aktivitas parafungsi oklusal pada siang atau malam hari dimana terjadi grinding, clenching, dan gnashing. Bruxism dapat memberikan tekanan berlebih pada tulang sehingga tulang beradaptasi melalui proses remodeling tulang yang dapat mengubah jumlah, densitas, dan ketinggian tulang. Perubahan yang terjadi pada tulang dapat dianalisis dengan mengukur ketinggian tulang kortikal mandibula. Salah satu metode pengukuran yang dapat digunakan adalah indeks panoramik mandibula (PMI) melalui radiografi panoramik. Tujuan penelitian ini adalah menganalisis perbedaan ketinggian tulang kortikal mandibula pada penderita dan bukan penderita bruxism. Metode: Jenis penelitian ini adalah analitik cross sectional. Sampel penelitian ini terdiri dari dua kelompok, yaitu 30 sampel radiograf panoramik digital penderita bruxism dan 30 sampel radiograf panoramik digital bukan penderita bruxism. Data dianalisis menggunakan independent t-test pada software MegaStat 10.1. Hasil: Hasil analisis p-value menunjukkan ketinggian tulang kortikal mandibula regio kanan penderita bruxism dan bukan penderita bruxism adalah 0,1517mm dan regio kiri adalah 0,2036mm (p-value>0,05). Simpulan: Tidak terdapat perbedaan ketinggian tulang kortikal mandibula antara penderita bruxism dan bukan penderita bruxism.Kata kunci: Bruxism, kortikal mandibula, indeks panoramik mandibular. ABSTRACTIntroduction: Bruxism is an occlusal parafunction activity during the day or night that includes grinding, clenching, and gnashing. Bruxism can exert excessive pressure on the bone so that the bone adapts through the process of bone remodelling, which can change the amount, density, and height of the bone. Changes that occur in the bone can be analysed by measuring the height of the mandibular cortical bone. One of the measurement methods commonly used was the panoramic mandibular index (PMI) through panoramic radiography. The purpose of this study was to analyse the differences in the height of the mandibular cortical bone in bruxism and non-bruxism patients. Methods: The type of research was cross-sectional analytic. The sample of this study consisted of two groups, which were 30 samples of digital panoramic radiographs of bruxism patients and 30 samples of digital panoramic radiographs of non-bruxism patients. Data were analysed using an independent t-test in the MegaStat 10.1 software. Results: The results of the p-value analysis showed that the mandibular cortical bone in the right region of bruxism and non-bruxism patients was 0.1517 mm, and in the left region was 0.2036 mm (p-value > 0.05). Conclusion: There is no difference in the mandibular cortical bone height between bruxism and non-bruxism patients.Keywords: Bruxism, mandibular cortical bone, panoramic mandibular index.

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“…The work discovered 16.8% wide inequality and inadequate diagnosis, and 21.9% of applicants planned cognitive-behavioral treatment. Saczuk et al [26] evaluated the screening and detection method of bruxism. The researchers used the total number of sixty adults, including twenty-five healthy and thirty-five with bruxism.…”

Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals

et al. 2020

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Bruxism is a sleep disorder in which the patient clinches and gnashes their teeth. Bruxism detection using traditional methods is time-consuming, cumbersome, and expensive. Therefore, an automatic tool to detect this disorder will alleviate the doctor workload and give valuable help to patients. In this paper, we targeted this goal and designed an automatic method to detect bruxism from the physiological signals using a novel hybrid classifier. We began with data collection. Then, we performed the analysis of the physiological signals and the estimation of the power spectral density. After that, we designed the novel hybrid classifier to enable the detection of bruxism based on these data. The classification of the subjects into “healthy” or “bruxism” from the electroencephalogram channel (C4-A1) obtained a maximum specificity of 92% and an accuracy of 94%. Besides, the classification of the sleep stages such as the wake (w) stage and rapid eye movement (REM) stage from the electrocardiogram channel (ECG1-ECG2) obtained a maximum specificity of 86% and an accuracy of 95%. The combined bruxism classification and the sleep stages classification from the electroencephalogram channel (C4-P4) obtained a maximum specificity of 90% and an accuracy of 97%. The results show that more accurate bruxism detection is achieved by exploiting the electroencephalogram signal (C4-P4). The present work can be applied for home monitoring systems for bruxism detection.

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The Bruxoff Device as a Screening Method for Sleep Bruxism in Dental Practice

Cited by 31 publications

References 74 publications

Relationship between Sleep Bruxism, Perceived Stress, and Coping Strategies

Relationship between Sleep Bruxism, Perceived Stress, and Coping Strategies

<p>Perbedaan ketinggian tulang kortikal mandibula antara penderita bruxism dan bukan penderita bruxism berdasarkan indeks panoramik mandibular</p><p>Differences in the mandibular cortical bone height between bruxism and non-bruxism patients based on the panoramic mandibular index</p>

A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals

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