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Body shape index versus body mass index as correlates of health risk in young healthy sedentary men

Overview of attention for article published in Journal of Translational Medicine, February 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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15 X users
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5 Facebook pages

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Title
Body shape index versus body mass index as correlates of health risk in young healthy sedentary men
Published in
Journal of Translational Medicine, February 2015
DOI 10.1186/s12967-015-0426-z
Pubmed ID
Authors

Marzena Malara, Anna Kęska, Joanna Tkaczyk, Grażyna Lutosławska

Abstract

Recently a new simply calculated index of body composition -a body shape index (ABSI) has been introduced as an index more reliable than BMI of association between body composition and all-cause mortality. However, until now associations between ABSI and metabolic risk factors have not been evaluated. A total of 114 male university students not engaged in any planned physical activity participated in the present study. Anthropometric measurements (weight, height, waist circumference) were recorded. Body mass index (BMI) was calculated from weight and height, body shape index (ABSI) was calculated from waist circumference, weight, height and BMI. Blood was withdrawn after an overnight fast from the antecubital vein. Triacylglycerols, total cholesterol and HDL-cholesterol levels in plasma were determined using colorimetric methods and Randox commercial kits. Plasma LDL-cholesterol concentrations were calculated according to the Friedewald formula. Circulating insulin was assayed using a standard radioimmunological method with monoclonal antibodies against insulin and BioSource commercial kits. BMI was slightly, but significantly correlated only with circulating TG (r=0.330, p < 0.001) In contrast, ABSI was slightly, but significantly correlated with plasma levels of insulin (r=0.360, p<0.001), TC (r=0.270, p<0.002), LDL-C and non-HDL-C (r=0.300, p<0.001). In participants at the upper quartile of BMI circulating TG was higher (by 50%, p<0.05) than in their counterparts at the lower BMI quartile. Subjects representing the upper quartile of ABSI were characterized by higher plasma levels of insulin, TC, LDL-C and non-HDL in comparison with subjects at the lower ABSI quartile. (by 92 %, 11. %, 29 % and 21 % respectively, p<0.001). ABSI, a new simply calculated index of body fat seems to more accurately depict the variability in circulating insulin and lipoproteins than BMI at least in young, healthy male subjects.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ethiopia 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 20%
Student > Bachelor 12 17%
Researcher 7 10%
Other 6 8%
Student > Ph. D. Student 6 8%
Other 11 15%
Unknown 15 21%
Readers by discipline Count As %
Medicine and Dentistry 17 24%
Nursing and Health Professions 7 10%
Sports and Recreations 6 8%
Agricultural and Biological Sciences 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Other 9 13%
Unknown 23 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 April 2015.
All research outputs
#3,188,678
of 22,793,427 outputs
Outputs from Journal of Translational Medicine
#521
of 3,988 outputs
Outputs of similar age
#41,744
of 255,577 outputs
Outputs of similar age from Journal of Translational Medicine
#9
of 89 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,988 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 86% of its peers.
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 255,577 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.