Sleep Architecture and Factors Associated With Definitive Diagnosis of Sleep Bruxism

NCT ID: NCT03825237

Last Updated: 2019-07-08

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

116 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-01-01

Study Completion Date

2018-11-15

Brief Summary

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This case-control study will evaluates the association between the definitive sleep bruxism diagnosis by gold-standard polysomnography examination obtained at Pelotas Sleep Institute and the sociodemographic, occupational, clinical conditions, sleep quality, sleep structure and Epworth sleepiness scale variables.

Detailed Description

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Currently, as sleep and awake bruxism are generally considered as different behaviours observed during sleep and wakefulness, respectively, the single definition for bruxism is recommended be "retired" in favour of 2 separate definitions. In this sense, the sleep bruxism is a masticatory muscle activity during sleep that is characterised as rhythmic (phasic) or non-rhythmic (tonic) and is not a movement disorder or a sleep disorder in otherwise healthy individuals .The diagnosis of sleep bruxism often is challenging and despite the use of questionnaires, clinical exams and portable devices, based on current knowledge, the polysomnography with audio-video recordings emerges as the gold-standard criteria for a definite sleep bruxism diagnosis.

Included on the questionnaire there is a registration form, which contains: Sociodemographic: self-reported ethnicity, marital status, education level; Occupational: individuals were asked about work outside home, working hours; Clinical condition: body mass index, smoking; alcohol consumption; use of sleeping pills.

Sleep Quality, was evaluated with the following questions: Sleep behavioral, how long does it take to sleep; restless sleep; nightmares; heartburn, obstructive sleep apnea by polysomnography. Bedtime, sleep time. Waking during the night, insomnia. Morning wake up, headache on waking; Lastly, Sleep structure data: sleep onset latency, rapid eye movement, sleep latency, wake time after sleep onset, total sleep time, sleep efficiency, non-rapid eye movement, sleep time in stages N1, N2, and N3, REM sleep time, arousal, arousal per hour, respiratory disturbance index, apnea-hypopnea index; and Epworth Sleepiness Scale.

Conditions

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Sleep Bruxism, Adult

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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With sleep bruxism by polysomnography

Adults (20 to 60 years) and elderly (\> 60 years), (WHO-World Health Organization, 2015) who had undergone polysomnography (PSG) from January 2015 to December 2017 were assessed. All self-reports and PSG exams were included and reviewed. The participants were excluded if they presented with a history of neurological or degenerative disorders, and any objection to take the polysomnography test.

Polysomnography

Intervention Type DIAGNOSTIC_TEST

The polysomnography (referred to as type I) allows assessing several sleep physiologic parameters (eg, EEG, electrooculogram, electromyogram, electrocardiogram, airflow, respiratory effort, oxygen saturation), whereas audio-video recording enables documenting tooth-grinding sounds and distinguishing between rhythmic masticatory muscle activity (RMMA) and orofacial (eg, swallowing) and other muscular activity (eg, head movements) during sleep. Based on the RMMA index (number of episodes per hour of sleep), sleep bruxism is diagnosed when RMMA episodes are greater than or equal to 2 (low-frequency SB, mild bruxism) or RMMA episodes are greater than or equal to 4 (high-frequency SB, severe bruxism)

Without sleep bruxism by polysomnography

Adults (20 to 60 years) and elderly (\> 60 years), (WHO-World Health Organization, 2015) who had undergone polysomnography (PSG) from January 2015 to December 2017 were assessed. All self-reports and PSG exams were included and reviewed. The participants were excluded if they presented with a history of neurological or degenerative disorders, and any objection to take the polysomnography test.

Polysomnography

Intervention Type DIAGNOSTIC_TEST

The polysomnography (referred to as type I) allows assessing several sleep physiologic parameters (eg, EEG, electrooculogram, electromyogram, electrocardiogram, airflow, respiratory effort, oxygen saturation), whereas audio-video recording enables documenting tooth-grinding sounds and distinguishing between rhythmic masticatory muscle activity (RMMA) and orofacial (eg, swallowing) and other muscular activity (eg, head movements) during sleep. Based on the RMMA index (number of episodes per hour of sleep), sleep bruxism is diagnosed when RMMA episodes are greater than or equal to 2 (low-frequency SB, mild bruxism) or RMMA episodes are greater than or equal to 4 (high-frequency SB, severe bruxism)

Interventions

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Polysomnography

The polysomnography (referred to as type I) allows assessing several sleep physiologic parameters (eg, EEG, electrooculogram, electromyogram, electrocardiogram, airflow, respiratory effort, oxygen saturation), whereas audio-video recording enables documenting tooth-grinding sounds and distinguishing between rhythmic masticatory muscle activity (RMMA) and orofacial (eg, swallowing) and other muscular activity (eg, head movements) during sleep. Based on the RMMA index (number of episodes per hour of sleep), sleep bruxism is diagnosed when RMMA episodes are greater than or equal to 2 (low-frequency SB, mild bruxism) or RMMA episodes are greater than or equal to 4 (high-frequency SB, severe bruxism)

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Adults (aged 20 to 60 years) and elderly (aged \> 60 years) (WHO-World Health Organization, 2015) who were undergone to polysomnography (PSG) at the Pelotas Sleep Institute (PSI);
* Adequate cognitive capacity to understand and answer the questionnaire.

Exclusion Criteria

• Those which the participants were unable to answer the questionnaires and who presented a history of epilepsy that could interfere in the results of PSG.
Minimum Eligible Age

20 Years

Maximum Eligible Age

90 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Federal University of Pelotas

OTHER

Sponsor Role lead

Responsible Party

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Noéli Boscato, PhD

Associate Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Noéli Boscato, PhD

Role: PRINCIPAL_INVESTIGATOR

Federal University of Pelotas

Locations

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Federal University of Pelotas

Pelotas, Rio Grande do Sul, Brazil

Site Status

Countries

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Brazil

References

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Lobbezoo F, Ahlberg J, Raphael KG, Wetselaar P, Glaros AG, Kato T, Santiago V, Winocur E, De Laat A, De Leeuw R, Koyano K, Lavigne GJ, Svensson P, Manfredini D. International consensus on the assessment of bruxism: Report of a work in progress. J Oral Rehabil. 2018 Nov;45(11):837-844. doi: 10.1111/joor.12663. Epub 2018 Jun 21.

Reference Type BACKGROUND
PMID: 29926505 (View on PubMed)

Lavigne GJ, Rompre PH, Montplaisir JY. Sleep bruxism: validity of clinical research diagnostic criteria in a controlled polysomnographic study. J Dent Res. 1996 Jan;75(1):546-52. doi: 10.1177/00220345960750010601.

Reference Type BACKGROUND
PMID: 8655758 (View on PubMed)

Casett E, Reus JC, Stuginski-Barbosa J, Porporatti AL, Carra MC, Peres MA, de Luca Canto G, Manfredini D. Validity of different tools to assess sleep bruxism: a meta-analysis. J Oral Rehabil. 2017 Sep;44(9):722-734. doi: 10.1111/joor.12520. Epub 2017 Jun 5.

Reference Type BACKGROUND
PMID: 28477392 (View on PubMed)

Palinkas M, De Luca Canto G, Rodrigues LA, Bataglion C, Siessere S, Semprini M, Regalo SC. Comparative Capabilities of Clinical Assessment, Diagnostic Criteria, and Polysomnography in Detecting Sleep Bruxism. J Clin Sleep Med. 2015 Nov 15;11(11):1319-25. doi: 10.5664/jcsm.5196.

Reference Type BACKGROUND
PMID: 26235152 (View on PubMed)

Other Identifiers

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FUPelotas3

Identifier Type: -

Identifier Source: org_study_id

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