↓ Skip to main content

Obesity as Assessed by Body Adiposity Index and Multivariable Cardiovascular Disease Risk

Overview of attention for article published in PLOS ONE, April 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
peer_reviews
1 peer review site

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
68 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
Obesity as Assessed by Body Adiposity Index and Multivariable Cardiovascular Disease Risk
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0094560
Pubmed ID
Authors

Satvinder S. Dhaliwal, Timothy A. Welborn, Louise G. H. Goh, Peter A. Howat

Abstract

To assess the role of body adiposity index (BAI) in predicting cardiovascular disease (CVD) and coronary heart disease (CHD) mortality, in comparison with body mass index (BMI), waist circumference (WC), and the waist circumference to hip circumference ratio (WHR). This study was a prospective 15 year mortality follow-up of 4175 Australian males, free of heart disease, diabetes and stroke. The Framingham Risk Scores (FRS) for CHD and CVD death were calculated at baseline for all subjects. Multivariable logistic regression was used to assess the effects of the measures of obesity on CVD and CHD mortality, before adjustment and after adjustment for FRS. The predictive ability of BAI, though present in the unadjusted analyses, was generally not significant after adjustment for age and FRS for both CVD and CHD mortality. BMI behaved similarly to BAI in that its predictive ability was generally not significant after adjustments. Both WC and WHR were significant predictors of CVD and CHD mortality and remained significant after adjustment for covariates. BAI appeared to be of potential interest as a measure of % body fat and of obesity, but was ineffective in predicting CVD and CHD.

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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Peru 1 1%
Unknown 66 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 16%
Student > Ph. D. Student 10 15%
Student > Bachelor 9 13%
Student > Doctoral Student 8 12%
Student > Master 7 10%
Other 10 15%
Unknown 13 19%
Readers by discipline Count As %
Medicine and Dentistry 18 26%
Nursing and Health Professions 7 10%
Psychology 5 7%
Agricultural and Biological Sciences 5 7%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 10 15%
Unknown 20 29%
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 13 March 2021.
All research outputs
#13,407,734
of 22,753,345 outputs
Outputs from PLOS ONE
#106,947
of 194,177 outputs
Outputs of similar age
#112,573
of 228,038 outputs
Outputs of similar age from PLOS ONE
#2,731
of 5,345 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,177 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 42nd percentile – i.e., 42% 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 228,038 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,345 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.