Sleep Architecture and Factors Associated With Definitive Diagnosis of Sleep Bruxism
NCT ID: NCT03825237
Last Updated: 2019-07-08
Study Results
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Basic Information
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COMPLETED
116 participants
OBSERVATIONAL
2018-01-01
2018-11-15
Brief Summary
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Detailed Description
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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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Study Design
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CASE_CONTROL
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
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
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)
Eligibility Criteria
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Inclusion Criteria
* Adequate cognitive capacity to understand and answer the questionnaire.
Exclusion Criteria
20 Years
90 Years
ALL
Yes
Sponsors
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Federal University of Pelotas
OTHER
Responsible Party
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Noéli Boscato, PhD
Associate Professor
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
Countries
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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.
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.
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.
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.
Other Identifiers
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FUPelotas3
Identifier Type: -
Identifier Source: org_study_id
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