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Published on: December 6, 2016
Association of Sleep Apnea with Occlusal Pattern, Dental Age, and Parafunctional Habits in Pediatric Patients
Rishibha Bhardwaj1, Mohamed Tharwat Salama2,3, Mushir Mulla4
1Department of Orthodontics, School of Dental Sciences, Sharda University, Greater Noida, Uttar Pradesh, India.
Insights
Pediatric sleep apnea is linked to dental issues like increased overjet, advanced dental age, and habits like bruxism. Early screening is crucial for children
Area of Science:
- Pediatric Dentistry
- Sleep Medicine
- Orthodontics
Background:
- Pediatric sleep apnea is multifactorial, influenced by craniofacial development.
- Understanding its links to oral health is vital for early detection.
Purpose of the Study:
- To investigate the relationship between sleep apnea and occlusal patterns, dental age, and parafunctional habits in children aged 6-14.
- To identify potential early indicators of sleep apnea in pediatric patients.
Main Methods:
- Cross-sectional observational study of 98 pediatric patients.
- Sleep apnea risk screened via Pediatric Sleep Questionnaire and confirmed with polysomnography.
- Occlusal parameters and dental age (Demirjian's method) assessed.
Main Results:
- 38.8% of children were high-risk for sleep apnea.
- Significant correlations found between sleep apnea risk, increased overjet, and advanced dental age (P < 0.05).
- Bruxism, mouth breathing, and tongue thrusting were more prevalent in high-risk children (P < 0.01).
Conclusions:
- Pediatric sleep apnea is associated with unfavorable occlusal traits, advanced dental maturation, and parafunctional habits.
- Highlights the need for multidisciplinary pediatric screening for sleep apnea.
- Recommends further multicentric studies with airway assessment to confirm causality.
Introduction:
Sleep apnea in pediatric patients is recognized as a multifactorial condition influenced by craniofacial growth. This research was done to measure the relationship of sleep apnea with occlusal pattern, dental age, and parafunctional habits amongst kids in the age range of 6-14 years.
Materials And Methods:
A cross-sectional observational research was done on 98 pediatric patients. Sleep apnea risk was screened using the Pediatric Sleep Questionnaire and confirmed, where feasible, with polysomnography, the gold-standard diagnostic method. Occlusal parameters were recorded clinically. Dental age was assessed using Demirjian's method. The obtained data were statistically analyzed.
Results:
Overall, 38.8% of children were identified as high-risk for sleep apnea. Considerable relations were found between sleep apnea and increased overjet. Children at high risk also demonstrated advanced dental age compared to unaffected peers (P < 0.05). Parafunctional habits such as bruxism, mouth breathing, and tongue thrusting were significantly more prevalent in the high-risk group (all P < 0.01).
Conclusion:
Sleep apnea in children shows significant correlation with unfavourable occlusal traits, advanced dental maturation, and parafunctional habits. These findings underscore the importance of multidisciplinary pediatric screening. Larger multicentric studies with radiographic airway assessment are recommended to strengthen causal inference.
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