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Variables associated with mouth breathing diagnosis in children based on a multidisciplinary assessment

Overview of attention for article published in CoDAS, March 2018
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Title
Variables associated with mouth breathing diagnosis in children based on a multidisciplinary assessment
Published in
CoDAS, March 2018
DOI 10.1590/2317-1782/20182017071
Pubmed ID
Authors

Jovana de Moura Milanesi, Luana Cristina Berwig, Mariana Marquezan, Luiz Henrique Schuch, Anaelena Bragança de Moraes, Ana Maria Toniolo da Silva, Eliane Castilhos Rodrigues Corrêa

Abstract

: This study was conducted to identify variables associated with mouth breathing diagnosis in children, based on multidisciplinary domains. 119 children, six to 12 years old, underwent anamnesis, speech therapy (orofacial structures and stomatognathic functions), otorhinolaryngologic (OTRL) with clinical and endoscopic examinations, dental (occlusion) and physiotherapy (body posture and nasal patency) assessments. Nasal patency was evaluated using Peak Nasal Inspiratory Flow (PNIF) and the Nasal Obstruction Symptom Evaluation (NOSE) scale. A multiple logistic regression was performed considering breathing mode as the dependent variable and the co-variables from each multidisciplinary assessment as associated variables. Association with MB diagnosis was found in each professional domain with: nasal obstruction report (Odds ratio - OR=5.55), time of pacifier use (OR=1.25), convex facial type (OR=3.78), obtuse nasal angle (OR=4.30), half-open or open lip posture (OR=4.13), tongue position on the mouth floor (OR=5.88), reduced hard palate width (OR=2.99), unexpected contraction during mastication (OR=2.97), obstructive pharyngeal tonsils (OR=8.37), Angle Class II malocclusion (OR=10.85) and regular gingival maintenance (OR=2.89). We concluded that a multidisciplinary diagnosis is important, given that each evaluation domain, including OTRL, dental and speech therapy, presented variables associated with MB diagnosis. Body posture and nasal patency variables were not associated with MB.

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Geographical breakdown

Country Count As %
Unknown 137 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 15%
Student > Master 15 11%
Student > Doctoral Student 7 5%
Other 5 4%
Researcher 5 4%
Other 17 12%
Unknown 67 49%
Readers by discipline Count As %
Medicine and Dentistry 45 33%
Nursing and Health Professions 9 7%
Biochemistry, Genetics and Molecular Biology 4 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 1%
Agricultural and Biological Sciences 2 1%
Other 7 5%
Unknown 68 50%