↓ Skip to main content

Atherogenic index of plasma is a novel and better biomarker associated with obesity: a population-based cross-sectional study in China

Overview of attention for article published in Lipids in Health and Disease, March 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
127 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Atherogenic index of plasma is a novel and better biomarker associated with obesity: a population-based cross-sectional study in China
Published in
Lipids in Health and Disease, March 2018
DOI 10.1186/s12944-018-0686-8
Pubmed ID
Authors

Xiaowei Zhu, Lugang Yu, Hui Zhou, Qinhua Ma, Xiaohua Zhou, Ting Lei, Jiarong Hu, Wenxin Xu, Nengjun Yi, Shufeng Lei

Abstract

Atherogenic index of plasma (AIP) has been reported to be associated with cardiovascular diseases. However no study has yet systematically evaluated the association between AIP and obesity and its advantage in obesity prediction compared with conventional lipid components. A total of 6465 participants aged over 30 years were included in this study. Blood lipid components including triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) were measured, and AIP was calculated as log10(TG/HDL-C). Pearson correlation analyses, multivariable logistic analyses and predictive analyses were used to evaluate the association and discrimination ability between AIP, four conventional lipid profiles and obesity. Subjects in the higher quartiles of AIP all had a significantly increased risk of obesity compared with those in the lowest quartile (P for trend< 0.01). AIP showed a stronger association with obesity than the conventional lipid components as the pearson coefficient reached up to 0.372 and the adjusted odds ratio was 5.55. Using AIP rather than HDL-C and TG significantly improved risk prediction for obesity (AUC improvement = 0.011, P = 0.011; Continuous net reclassification index = 29.55%, P < 0.01; Category net reclassification index = 6.06%; Integrated discrimination improvement = 0.68%, P < 0.01). Higher AIP level was positively and strongly associated with obesity. AIP is a novel and better biomarker associated with obesity. Controlling the AIP level would be more helpful for the prevention of obesity.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 > Master 15 12%
Student > Bachelor 13 10%
Student > Ph. D. Student 10 8%
Student > Doctoral Student 9 7%
Student > Postgraduate 7 6%
Other 31 24%
Unknown 42 33%
Readers by discipline Count As %
Medicine and Dentistry 33 26%
Biochemistry, Genetics and Molecular Biology 13 10%
Agricultural and Biological Sciences 7 6%
Unspecified 5 4%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 21 17%
Unknown 44 35%
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 08 March 2018.
All research outputs
#20,468,008
of 23,026,672 outputs
Outputs from Lipids in Health and Disease
#1,208
of 1,458 outputs
Outputs of similar age
#293,430
of 332,016 outputs
Outputs of similar age from Lipids in Health and Disease
#30
of 34 outputs
Altmetric has tracked 23,026,672 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 1,458 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. 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 332,016 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 34 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.