Literature DB >> 27198949

Sleep bruxism in children: sleep studies correlate poorly with parental reports.

N T Huynh1, E Desplats2, A Bellerive3.   

Abstract

UNLABELLED: The prevalence of sleep bruxism (SB) is usually reported as highest during childhood and decreases with age. However, this is based on parental reports and self-reports in the absence of quantitative data. Moreover, although SB signs, symptoms, and cutoff criteria have been established in the adult population, they remain unassessed in the pediatric population.
OBJECTIVES: This study aims to classify SB in children according to sleep variables and rhythmic masticatory muscle activity (RMMA) frequency indexes and to determine associations with objective signs and symptoms of SB in comparison with parental reports.
MATERIALS AND METHODS: Thirty-two children (11.5 ± 0.3 years) recruited at the orthodontic clinic underwent a dental assessment and ambulatory sleep recording (type II). Parents responded to a validated screening questionnaire on tooth clenching and grinding. A two-step cluster analysis was performed to classify participants into RMMA frequency groups, as described subsequently, followed by one-way analysis of variance (ANOVA) to compare groups. Fisher's exact test was performed for analyzing the associations between the signs and symptoms according to RMMA.
RESULTS: Three RMMA frequency groups were identified: low (n = 12), moderate-high (n = 13), and control (n = 7). Between-group comparisons for episodes per hour and bursts/hour were significant (p <0.001). No relationships were found between RMMA (presence/absence) and clinically assessed tooth wear or reports of tooth clenching or grinding or craniofacial complaints.
CONCLUSIONS: RMMA frequency classification differs slightly between children and adults. No association was observed between parental reports and RMMA, suggesting the need to improve parental knowledge of children's SB.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Classification; Clinical assessment; Orthodontics; Polysomnography; Questionnaires; Young adolescents

Mesh:

Year:  2015        PMID: 27198949     DOI: 10.1016/j.sleep.2015.09.023

Source DB:  PubMed          Journal:  Sleep Med        ISSN: 1389-9457            Impact factor:   3.492


  7 in total

1.  Sleep Bruxism: A "Bridge" Between Dental and Sleep Medicine.

Authors:  Alberto Herrero Babiloni; Gilles J Lavigne
Journal:  J Clin Sleep Med       Date:  2018-08-15       Impact factor: 4.062

2.  Study of Associated Factors With Probable Sleep Bruxism Among Adolescents.

Authors:  Ivana Meyer Prado; Lucas Guimarães Abreu; Karen Simon Silveira; Sheyla Márcia Auad; Saul Martins Paiva; Daniele Manfredini; Júnia Maria Serra-Negra
Journal:  J Clin Sleep Med       Date:  2018-08-15       Impact factor: 4.062

3.  Validation of Sleep Bruxism Questionnaire Toward the Experience of Jaw Pain and Limitation of Jaw Movement in Saudi Arabian Adolescents.

Authors:  Hammam A Bahammam
Journal:  Cureus       Date:  2022-06-20

4.  Relationship between stress and sleep bruxism in children and their mothers: A case control study.

Authors:  Nelia Medeiros Sampaio; Mario Cezar Oliveira; Adriana Castro Andrade; Lydia Brito Santos; Murilo Sampaio; Adriana Ortega
Journal:  Sleep Sci       Date:  2018 Jul-Aug

5.  The prevalence of sleep bruxism and associated factors in children: a report by parents.

Authors:  M A Clementino; M B Siqueira; J M Serra-Negra; S M Paiva; A F Granville-Garcia
Journal:  Eur Arch Paediatr Dent       Date:  2017-10-26

6.  Agreement between two different approaches to assess parent-reported sleep bruxism in children.

Authors:  Joyce Duarte; Júnia Maria Serra-Negra; Fernanda Morais Ferreira; Saul Martins Paiva; Fabian Calixto Fraiz
Journal:  Sleep Sci       Date:  2017 Apr-Jun

7.  Association of dietary habits and parental-reported sleep tooth grinding with tooth wear in children with mixed dentition.

Authors:  Claudia Restrepo; Daniele Manfredini; Ruben Manrique; Frank Lobbezoo
Journal:  BMC Oral Health       Date:  2017-12-20       Impact factor: 2.757

  7 in total

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