Validation of the BiteStrip screener for sleep bruxism

Shochat, Tamar; Gavish, Anat; Arons, Elena; Hadas, N.; Molotsky, Alex; Lavie, Peretz; Oksenberg, Arie

doi:10.1016/j.tripleo.2007.03.009

Cited by 65 publications

(66 citation statements)

References 12 publications

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“…Polysomnography (PSG), including audio and video monitoring, is considered a gold standard as a diagnostic tool in SB but can be complicated at the practical level since several night recordings ideally should be made in order to detect its fluctuations. 1,4,6 Therefore, portable EMG equipments have been developed to be used in SB assessment 7 , 8,9 but their validity in relation to PSG may still be questionable. 10 One of these portable equipment on the market (Grindcare Measure®, Medotech A/S, Copenhagen, Denmark) has been used in the present study as an indicator of SB diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Sleep bruxism in individuals with and without attrition-type tooth wear: An exploratory matched case-control electromyographic study

Jonsgar

Hordvik

Berge

et al. 2015

Journal of Dentistry

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Section: Introductionmentioning

confidence: 99%

Sleep bruxism in individuals with and without attrition-type tooth wear: An exploratory matched case-control electromyographic study

Jonsgar

Hordvik

Berge

et al. 2015

Journal of Dentistry

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“…All subjects also responded anxiety questionnaires (Néri's Life Satisfaction Questionnaire; State-Trait Anxiety Inventory -STAI I and STAI II; Visual Analog Scale-faces Trait -VAS-f T and Quality of Life -VAS-f QL) to recognize how they perceive their daily lives and their current situation. Furthermore, the EMG activity of masseter muscles was measured during sleep, using the BiteStrip  device (Up2dent Inc, Germany) (Shochat et al, 2007;Mainieri et al, 2012). Those who were diagnosed with SB were assigned to the experimental group (EG, n = 15) and the others to the control group (CG, n = 15).…”

Section: Methodsmentioning

confidence: 99%

Neuro-behavioral pattern of sleep bruxism in wakefulness

et al. 2018

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Introduction: Sleep Bruxism (SB) is a non-functional rhythmic movement of the mandible with multifactorial aetiology and complex diagnose. It has been the subject of various studies over the past decades and it is considered a result of actions of the Central Nervous System modulated by Autonomous Nervous System. In this work, we test the hypothesis that SB subjects present a typical and defined neurobehavioral pattern that can be distinct from that of non-bruxers subjects and can be measured during wakefulness. Methods: Fifteen sleep bruxers (experimental-group EG) and fifteen non-bruxers (control-group CG) took part in the experiments. To verify the presence and severity of SB, clinical examinations, anamneses and questionnaires, including Visual Analogic Scale -faces (VAS-f) and State-Trait Anxiety Inventory (STAI) were applied. To legitimate the diagnoses of SB, a disposable instrument (Bitestrip  ) to assess the masseter activity during sleep was employed. All subjects were submitted to a set of experiments for measuring various visual evoked responses during the presentation of visual stimuli (pleasant, unpleasant and neutral images). Events in Visual Evoked Potential (VEP) were used to compare the neural responses of both CG and EG. Results: VAS-f showed EG with higher perception of stress than CG (trait: p=0.05), and lower quality of life for (state: p=0.007). STAI I and II showed significant differences of anxiety between CG and EG (p=0.013 and p=0.004, respectively), being EG the highest. The EG Bitestrip scores confirmed that 100% of subjects were sleep bruxers. Significant differences were found between EG and CG for events associated with emotional (pleasant and unpleasant) images in the first 250 ms after stimulation. In general, EG subjects showed higher amplitude and shorter latency of VEP events. Conclusion: It is possible to distinguish between SB and non-bruxers subjects during wakefulness, based on differences in amplitude and latency of cortical event related potentials elicited by visual stimulation. SB subjects show greater amplitudes in specific events in frontal areas when non-pleasant images are shown. Latencies tend to be anticipated in SB compared to CG subjects.

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“…The BiteStrip,* a single‐use disposable EMG‐device was used throughout one night during the work week to detect sleep bruxism (4). The BiteStrip is a small (2 cm × 7 cm) lightweight (4 g) device applied to the cheek, over the masseter muscle.…”

Section: Methodsmentioning

confidence: 99%

“…Shochat et al. recently introduced a wireless device for home screening for sleep bruxism (4); in their validation study the BiteStrip was suggested as a viable screening tool with acceptable accuracy for identifying sleep bruxism. No other results using the BiteStrip have been reported earlier.…”

Section: Introductionmentioning

confidence: 99%

Bruxism and sleep efficiency measured at home with wireless devices

Ahlberg

Savolainen

Paju

et al. 2008

J of Oral Rehabilitation

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The present study comprised 101 (48 men) employees of the Finnish Broadcasting Company with or without irregular shift work, but all with a work week of five shifts in a row followed by 2 days off. The mean age of the subjects was 41.0 years (SD = 9.9). The BiteStrip, a single-use disposable EMG device was used for one night during the work week to detect sleep bruxism. The Actiwatch Plus actigraph was worn on the non-dominant wrist for the entire week to evaluate sleep. Total sleep time and fragmentation index, the latter as a measure of sleep efficiency was calculated for the present study. The BiteStrip scores among the participants were: 0- no bruxism: 52.2% (according to the manufacturer, comparable to a sleep laboratory bruxism count of up to 39 over 5 h), 1- mild: 29.3% (40-74 counts), 2- moderate: 12.0%: (75-124 counts) and 3- severe: 6.5% (>125 counts). Severe bruxers slept less during the work week than non-bruxers (P = 0.009), but severe bruxers slept slightly more than non-bruxers during days off. The group means of the sleep fragmentation index decreased from start towards the middle of the work week and increased during days off (P = 0.016). The levels of the fragmentation indices were consistently higher in accordance with bruxism severity (P = 0.013). It was concluded that bruxism has a coherent relationship with sleep efficiency and it can be detected at home with a low cost device.

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Validation of the BiteStrip screener for sleep bruxism

Cited by 65 publications

References 12 publications

Sleep bruxism in individuals with and without attrition-type tooth wear: An exploratory matched case-control electromyographic study

Sleep bruxism in individuals with and without attrition-type tooth wear: An exploratory matched case-control electromyographic study

Neuro-behavioral pattern of sleep bruxism in wakefulness

Bruxism and sleep efficiency measured at home with wireless devices

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