NCT03825237

Brief Summary

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
116

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Jan 2018

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 1, 2018

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 24, 2018

Completed
4 months until next milestone

Study Completion

Last participant's last visit for all outcomes

November 15, 2018

Completed
4 days until next milestone

First Submitted

Initial submission to the registry

November 19, 2018

Completed
2 months until next milestone

First Posted

Study publicly available on registry

January 31, 2019

Completed
Last Updated

July 8, 2019

Status Verified

June 1, 2019

Enrollment Period

7 months

First QC Date

November 19, 2018

Last Update Submit

July 4, 2019

Conditions

Keywords

diagnosticpolysomnographysleep architecturesleep bruxism

Outcome Measures

Primary Outcomes (1)

  • Sleep Bruxism

    Patients included in the study received diagnosis of SB by polysomnography exams. The data were obtained from polysomnography records in which masseter electromyography (EMG) burst was detected based on a predefined EMG threshold (20% of maximal voluntary tooth clenching task). Right masseter EMG bursts exceeding 0.25 second in duration were selected for oromotor activity scoring according to published criteria. Oromotor episodes separated by 3-second intervals were recognized as rhythmic masticatory muscle activity (RMMA) if they corresponded to 1 of the 3 following patterns: phasic (3 or more EMG bursts, each lasting 0.25 to 2 seconds), tonic (1 EMG burst lasting more than 2 seconds), or mixed (both burst types) episodes. EMG bursts were considered within the same RMMA episode if the interval between them was shorter than 2 seconds. Participants had SB diagnosed by polysomnography (PSG) if the RMMA index was greater than 2 episodes per hour of sleep.

    4 months

Study Arms (2)

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.

Diagnostic Test: Polysomnography

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.

Diagnostic Test: Polysomnography

Interventions

PolysomnographyDIAGNOSTIC_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)

With sleep bruxism by polysomnographyWithout sleep bruxism by polysomnography

Eligibility Criteria

Age20 Years - 90 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Individuals who are in the adult and elderly age group and who seek or are referred to the Pelotas Sleep Institute for polysomnography in the period from January 2015 to December 2017 were assessed.

You may qualify if:

  • 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.

You may not qualify if:

  • 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.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Federal University of Pelotas

Pelotas, Rio Grande do Sul, 96015-560, Brazil

Location

Related Publications (4)

  • 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.

    PMID: 29926505BACKGROUND
  • 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.

    PMID: 8655758BACKGROUND
  • 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.

    PMID: 28477392BACKGROUND
  • 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.

    PMID: 26235152BACKGROUND

MeSH Terms

Conditions

Sleep BruxismDisease

Interventions

Polysomnography

Condition Hierarchy (Ancestors)

BruxismTooth DiseasesStomatognathic DiseasesParasomniasSleep Wake DisordersNervous System DiseasesMental DisordersPathologic ProcessesPathological Conditions, Signs and Symptoms

Intervention Hierarchy (Ancestors)

Monitoring, PhysiologicDiagnostic Techniques and ProceduresDiagnosis

Study Officials

  • Noéli Boscato, PhD

    Federal University of Pelotas

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate Professor

Study Record Dates

First Submitted

November 19, 2018

First Posted

January 31, 2019

Study Start

January 1, 2018

Primary Completion

July 24, 2018

Study Completion

November 15, 2018

Last Updated

July 8, 2019

Record last verified: 2019-06

Locations