Evidence map›Paper›PMID 34041773›Full record

ArticleJournal of oral rehabilitation2021

Smartphone-based evaluation of awake bruxism behaviours in a sample of healthy young adults: findings from two University centres.

Alessandra Zani, Frank Lobbezoo, Alessandro Bracci, Goran Djukic, Luca Guarda-Nardini, Riccardo Favero, Marco Ferrari, Ghizlane Aarab, Daniele Manfredini

Open access · hybridAbstract read
In one paragraph

Article in Journal of oral rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Alessandra ZaniSchool of Dentistry, University of Padova, Padova, Italy.
Frank LobbezooDepartment of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0001-9877-7640
Alessandro BracciSchool of Dentistry, University of Padova, Padova, Italy.
Goran DjukicDepartment of Management and Engineering, University of Padova, Padova, Italy.
Luca Guarda-NardiniDepartment of Dentistry and Maxillo-facial surgery, Hospital of Treviso, Treviso, Italy.
Riccardo FaveroSchool of Dentistry, University of Padova, Padova, Italy.
Marco FerrariSchool of Dentistry, University of Siena, Siena, Italy.
Ghizlane AarabDepartment of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-6677-7897
Daniele ManfrediniSchool of Dentistry, University of Siena, Siena, Italy.ORCID https://orcid.org/0000-0002-4352-3085
University of Padua · ITAcademic Center for Dentistry Amsterdam · NLUniversity of Siena · ITCa' Foncello Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A smartphone-based ecological momentary assessment (EMA) strategy was used to assess the frequency of awake bruxism behaviours, based on the report of five oral conditions (ie relaxed jaw muscles, teeth contact, mandible bracing, teeth clenching and teeth grinding). One hundred and fifty-three (N = 153) healthy young adults (mean ± SD age = 22.9 ± 3.2 years), recruited in two different Italian Universities, used a dedicated smartphone application that sent 20 alerts/day at random times for seven days. Upon alert receipt, the subjects had to report in real-time one of the above five possible oral conditions. Individual data were used to calculate an average frequency of the study population for each day. For each condition, a coefficient of variation (CV) of frequency data was calculated as the ratio between SD and mean values over the seven recording days. Average frequency of the different behaviours over the seven days was as follows: relaxed jaw muscle, 76.4%; teeth contact, 13.6%; mandible bracing, 7.0%; teeth clenching, 2.5%; and teeth grinding, 0.5%. No significant differences were found in frequency data between the two University samples. The relaxed jaw muscles condition was more frequent in males (80.7 ± 17.7) than in females (73.4 ± 22.2). The frequency of relaxed jaw muscles condition over the period of observation had a very low coefficient of variation (0.27), while for the different awake bruxism behaviours, CV was in a range between 1.5 (teeth contact) and 4.3 (teeth grinding). Teeth contact was the most prevalent behaviour (57.5-69.7). Findings from this investigation suggest that the average frequency of AB behaviours over one week, investigated using EMA-approach, is around 23.6%.

Indexed as

BruxismUniversitiesAdultFemaleHealth StatusHumansMaleSmartphoneWakefulnessYoung Adultawake bruxismbruxismecological momentary assessmentprevalencesmartphone

Identifiers

PMID34041773
PMCPMC8453860
OpenAlexW3164809411

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.