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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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About this Attention Score

  • Among the highest-scoring outputs from this source (#30 of 320)
  • Above-average Attention Score compared to outputs of the same age (57th percentile)

Mentioned by

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5 tweeters

Citations

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8 Dimensions

Readers on

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82 Mendeley
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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.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 17%
Student > Master 11 13%
Student > Doctoral Student 8 10%
Student > Ph. D. Student 5 6%
Student > Postgraduate 5 6%
Other 10 12%
Unknown 29 35%
Readers by discipline Count As %
Medicine and Dentistry 34 41%
Nursing and Health Professions 7 9%
Biochemistry, Genetics and Molecular Biology 2 2%
Agricultural and Biological Sciences 1 1%
Linguistics 1 1%
Other 4 5%
Unknown 33 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 June 2018.
All research outputs
#6,176,680
of 19,002,645 outputs
Outputs from CoDAS
#30
of 320 outputs
Outputs of similar age
#112,949
of 288,775 outputs
Outputs of similar age from CoDAS
#1
of 4 outputs
Altmetric has tracked 19,002,645 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 320 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done well, scoring higher than 88% 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 288,775 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 57% of its contemporaries.
We're also able to compare this research output to 4 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