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Published on: October 2, 2019
Association between possible sleep bruxism and sleep characteristics in children
Júnia Maria Serra-Negra1, Mariana Batista Ribeiro1, Ivana Meyer Prado1
1a Department of Pediatric Dentistry and Orthodontics , Universidade Federal de Minas Gerais , Belo Horizonte , Brazil.
Insights
Possible sleep bruxism in children is linked to hereditary factors, muscle pain, and snoring. These symptoms indicate a higher probability of sleep bruxism in pediatric patients.
Area of Science:
- Pediatric Dentistry
- Sleep Medicine
- Genetics
Background:
- Sleep bruxism is a common condition in children with potential links to various health issues.
- Understanding the contributing factors to pediatric sleep bruxism is crucial for early diagnosis and intervention.
Purpose of the Study:
- To investigate the association between possible sleep bruxism and specific sleep characteristics in children.
- To identify potential risk factors and hereditary components of sleep bruxism in a pediatric population.
Main Methods:
- A cross-sectional study involving 111 children whose parents completed a pre-tested questionnaire.
- Diagnosis of possible sleep bruxism followed the International Classification of Sleep Disorders (ICSD) criteria.
- Statistical analysis included Chi-square and logistic multinomial regression tests.
Main Results:
- Children experiencing muscle pain in the mouth region showed a significantly higher probability of sleep bruxism (OR = 19.70).
- Snoring was also strongly associated with an increased likelihood of sleep bruxism (OR = 8.25).
- Parental history of possible sleep bruxism emerged as a significant predictor in the final logistic model.
Conclusions:
- Possible sleep bruxism in children appears to have a hereditary component.
- Muscle pain, snoring, and mouth breathing are identified as key indicators associated with pediatric sleep bruxism.
Aims:
To evaluate the relationship between possible sleep bruxism and sleep characteristics in children.
Methodology:
A cross-sectional study was conducted through data collection of a pre-tested questionnaire answered by 111 parents on behalf of their children in the waiting room during their appointment at the Pediatric Dentistry Clinic of a public Brazilian university. The diagnosis of possible sleep bruxism was based on the international classification of sleep disorders (ICSD) criteria. The Chi-square test and logistic multinomial regression test were used in the statistical analysis.
Results:
The final model of logistic multinomial regression demonstrated that children with muscle pain in the mouth region (OR = 19.70 95% IC = 1.82-212.69), snoring (OR = 8.25 95% IC = 2, 56-26, 54), and those with parents with possible sleep bruxism have more of a probability of sleep bruxism.
Conclusion:
Potential sleep bruxism tends to be hereditary. Muscle pain, snoring, and mouth breathing were important signals associated with possible sleep bruxism among children.
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