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

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

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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%