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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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  • Among the highest-scoring outputs from this source (#27 of 420)
  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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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

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


: 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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X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 127 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 17%
Student > Master 14 11%
Student > Doctoral Student 7 6%
Researcher 5 4%
Student > Ph. D. Student 5 4%
Other 15 12%
Unknown 60 47%
Readers by discipline Count As %
Medicine and Dentistry 45 35%
Nursing and Health Professions 7 6%
Biochemistry, Genetics and Molecular Biology 4 3%
Agricultural and Biological Sciences 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 6 5%
Unknown 61 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 May 2022.
All research outputs
of 24,840,108 outputs
Outputs from CoDAS
of 420 outputs
Outputs of similar age
of 337,581 outputs
Outputs of similar age from CoDAS
of 9 outputs
Altmetric has tracked 24,840,108 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 420 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 337,581 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them