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Lipoprotein particle subclass profiles among metabolically healthy and unhealthy obese and non-obese adults: Does size matter?

Overview of attention for article published in Atherosclerosis (00219150), October 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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4 tweeters

Citations

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36 Dimensions

Readers on

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47 Mendeley
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Title
Lipoprotein particle subclass profiles among metabolically healthy and unhealthy obese and non-obese adults: Does size matter?
Published in
Atherosclerosis (00219150), October 2015
DOI 10.1016/j.atherosclerosis.2015.07.040
Pubmed ID
Authors

Catherine M. Phillips, Ivan J. Perry

Abstract

No data regards lipoprotein particle profiles in obese and non-obese metabolic health subtypes exist. We characterised lipoprotein size, particle and subclass concentrations among metabolically healthy and unhealthy obese and non-obese adults. Cross-sectional sample of 1834 middle-aged Irish adults were classified as obese (BMI ≥30 kg/m(2)) and non-obese (BMI <30 kg/m(2)). Metabolic health was defined using three metabolic health definitions based on various cardiometabolic abnormalities including metabolic syndrome criteria, insulin resistance and inflammation. Lipoprotein size, particle and subclass concentrations were determined using nuclear magnetic resonance (NMR) spectroscopy. Lipoprotein profiling identified a range of adverse phenotypes among the metabolically unhealthy individuals, regardless of BMI and metabolic health definition, including increased numbers of small low density lipoprotein (LDL) (P < 0.001) and high density lipoprotein (HDL) particles (P < 0.001), large very low density lipoprotein (VLDL) particles (P < 0.001) and greater lipoprotein related insulin resistance (P < 0.001). The most significant predictors of metabolic health were lower numbers of large VLDL (ORs 2.72-3.13 and 2.49-3.86, P < 0.05 among obese and non-obese individuals, respectively) and small dense LDL particles (ORs 1.78-2.39 and 1.50-1.94, P < 0.05) and higher numbers of large LDL (ORs 1.82-2.66 and 2.84-3.27, P < 0.05) and large HDL particles (ORs 1.88-2.58 and 1.81-3.49, P < 0.05). Metabolically healthy adults displayed favourable lipoprotein particle profiles, irrespective of BMI and metabolic health definition. These findings underscore the importance of maintaining a healthy lipid profile in the context of overall cardiometabolic health.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Researcher 8 17%
Student > Bachelor 6 13%
Other 4 9%
Student > Master 4 9%
Other 7 15%
Unknown 5 11%
Readers by discipline Count As %
Medicine and Dentistry 20 43%
Agricultural and Biological Sciences 8 17%
Biochemistry, Genetics and Molecular Biology 4 9%
Nursing and Health Professions 3 6%
Psychology 2 4%
Other 3 6%
Unknown 7 15%

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 17 August 2015.
All research outputs
#9,479,112
of 17,356,510 outputs
Outputs from Atherosclerosis (00219150)
#2,781
of 4,461 outputs
Outputs of similar age
#99,580
of 245,486 outputs
Outputs of similar age from Atherosclerosis (00219150)
#40
of 95 outputs
Altmetric has tracked 17,356,510 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,461 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 36th percentile – i.e., 36% 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 245,486 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 58% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.