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OSA in children with obesity

Overview of attention for article published in Journal of Paediatrics & Child Health, January 2016
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70 Mendeley
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Title
OSA in children with obesity
Published in
Journal of Paediatrics & Child Health, January 2016
DOI 10.1111/jpc.13009
Pubmed ID
Authors

Rubina Kassim, Margaret‐Anne Harris, Gary M Leong, Helen Heussler

Abstract

The aim of this study was to identify factors that predict risk of obstructive sleep apnoea (OSA) in obese children, which could aid in prioritising sleep studies. A retrospective chart review was undertaken of obese children seen in the KOALA weight management clinic and Sleep clinic. Data collected included demographics, clinical history, examination findings, biochemical markers, and polysomnogram results. Two hundred seventy-two obese children were seen in the KOALA clinic out of which 54 (20%) were also seen in the Sleep clinic because of snoring. Thirty-two were referred by the KOALA clinic; the remaining 22 were referred by other medical practitioners prior to being seen in the KOALA clinic. Thirty-nine had polysomnograms. The time from referral to Sleep clinic ranged from 10 days to 1.5 years with 50% seen within 6 months; with similar time gap between the blood tests and time of polysomnograms. Thirty-six percent (14/39) were reported to have OSA. Six children were Aboriginal/Torres Strait Islander (ATSI) and all had OSA, which was statistically significant (P = 0.004). There was a statistically significant correlation between high-sensitivity C-reactive protein (hs-CRP) and obstructive event index (OEI) in rapid eye movement (REM) sleep. (r = 0.50, P = 0.04). Correlation between low-density lipoprotein (LDL) and OEI in REM was r = 0.36, P = 0.06, which approached significance. Ethnicity was a significant factor with more obese ATSI children having OSA. The significant correlation between hs-CRP with OEI is consistent with findings of previous studies. Several factors (glycosylated haemoglobin, LDL) approached significance.

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The data shown below were collected from the profiles of 3 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 17%
Student > Master 11 16%
Researcher 8 11%
Student > Ph. D. Student 5 7%
Student > Postgraduate 4 6%
Other 16 23%
Unknown 14 20%
Readers by discipline Count As %
Medicine and Dentistry 31 44%
Nursing and Health Professions 11 16%
Unspecified 3 4%
Agricultural and Biological Sciences 3 4%
Environmental Science 1 1%
Other 5 7%
Unknown 16 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 June 2016.
All research outputs
#16,106,935
of 25,457,858 outputs
Outputs from Journal of Paediatrics & Child Health
#2,100
of 3,371 outputs
Outputs of similar age
#218,845
of 400,580 outputs
Outputs of similar age from Journal of Paediatrics & Child Health
#11
of 18 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,371 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 400,580 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.