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Associations of total and abdominal adiposity with risk marker patterns in children at high-risk for cardiovascular disease

Overview of attention for article published in BMC Obesity, March 2015
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Title
Associations of total and abdominal adiposity with risk marker patterns in children at high-risk for cardiovascular disease
Published in
BMC Obesity, March 2015
DOI 10.1186/s40608-015-0043-7
Pubmed ID
Authors

Lawrence de Koning, Erica Denhoff, Mark D Kellogg, Sarah D de Ferranti

Abstract

While body mass index percentiles (BMI%) are commonly used to assess childhood cardiovascular risk, waist circumference percentiles (WC%) are not commonly used nor universally accepted. We tested whether BMI% or WC% should be used to identify risk factor patterns in children at high-risk for developing cardiovascular disease (CVD). A total of 107 children (8-19 years) with cardiovascular risk factors or a family history of CVD were studied. Tobacco exposure, screen-time, blood pressure and anthropometric measures were made, as well as serum risk markers. Principal component analysis (PCA) was used to identify patterns explaining risk factor variance. Multiple linear regression was used to test for associations between risk factor patterns, BMI% and WC%. An adverse lipid pattern (low HDL, high triglycerides and LDL), a pro-inflammatory pattern (high ICAM and TNFαR2), a high blood pressure pattern (high SBP and DBP) and a high Lp(a) pattern were identified. Higher BMI% and WC% were associated with significantly higher levels of the lipid pattern (p < 0.05). BMI% explained 20% of variance in this pattern, whereas WC% explained 22%. When both BMI% and WC% were used together, neither BMI% nor WC% were significantly associated with the lipid pattern. However, BMI% was significantly associated with lower levels of the pro-inflammatory pattern, and WC% was associated higher levels of the pro-inflammatory pattern - together explaining 12% of variance. In children at high-risk for CVD, BMI% or WC% explained similar variance in an adverse lipid pattern; however, the combination of BMI% and WC% explained greater variance in a pro-inflammatory pattern than either alone. Both WC% and BMI% should both be used in anthropometric assessments of high-risk children.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 20%
Student > Doctoral Student 4 13%
Student > Ph. D. Student 4 13%
Other 2 7%
Student > Master 2 7%
Other 5 17%
Unknown 7 23%
Readers by discipline Count As %
Medicine and Dentistry 5 17%
Social Sciences 3 10%
Biochemistry, Genetics and Molecular Biology 2 7%
Nursing and Health Professions 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Other 6 20%
Unknown 10 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 March 2015.
All research outputs
#20,264,045
of 22,794,367 outputs
Outputs from BMC Obesity
#166
of 184 outputs
Outputs of similar age
#220,475
of 260,871 outputs
Outputs of similar age from BMC Obesity
#14
of 16 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 184 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 1st percentile – i.e., 1% 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 260,871 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.