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A field tool for prediction of body fat in Sri Lankan women: skinfold thickness equation

Overview of attention for article published in Journal of Health, Population and Nutrition, September 2016
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Title
A field tool for prediction of body fat in Sri Lankan women: skinfold thickness equation
Published in
Journal of Health, Population and Nutrition, September 2016
DOI 10.1186/s41043-016-0069-6
Pubmed ID
Authors

Indu Waidyatilaka, Angela de Silva, Maduka de Lanerolle-Dias, Sunethra Atukorala, Pulani Lanerolle

Abstract

Valid skinfold thickness (SFT) equations for the prediction of body fat are currently unavailable for South Asian women and would be a potentially robust field tool. Our aim was to assess the validity of existing SFT equations against deuterium ((2)H2O) dilution and, if invalid, to develop and validate an SFT equation for % fat mass (%FM) in Sri Lankan women. H2O dilution was used with Fourier transform infrared (FTIR) spectroscopy as the criterion method for the assessment of %FM in urban Sri Lankan women (30-45 years). This data was used to assess the validity of available SFT equations and to generate and validate a new SFT equation for the prediction of %FM against the criterion method. Women (n = 164) were divided into validation and cross-validation groups for the development and validation of the new equation. The level of agreement between the %FM calculated by the final derived prediction equation and the %FM obtained by (2)H2O dilution was assessed using Pearson's correlation coefficient (R) and Bland Altman plots. Student's t test was used to assess over- or underestimation, and significance was set at p < 0.05. Existing equations significantly (p < 0.001) underestimated %FM compared with the (2)H2O dilution method. The final equation obtained was %FM = 19.621 + (0.237*weight) + (0.259*triceps). When compared with (2)H2O dilution, %FM by the equation was not significantly different. There was a significant (p < 0.001) correlation between %FM by the reference method and %FM by the equation. The limit of agreement by Bland Altman plot was narrow with a small mean positive bias. Existing SFT equations were not applicable to this population. The new equation derived was valid. We report a new SFT equation to predict %FM in women of South Asian ancestry suitable for field use.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 23%
Lecturer 4 13%
Researcher 3 10%
Student > Ph. D. Student 3 10%
Student > Master 2 6%
Other 2 6%
Unknown 10 32%
Readers by discipline Count As %
Medicine and Dentistry 11 35%
Nursing and Health Professions 4 13%
Agricultural and Biological Sciences 2 6%
Sports and Recreations 1 3%
Unknown 13 42%
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 19 December 2017.
All research outputs
#15,518,326
of 25,374,917 outputs
Outputs from Journal of Health, Population and Nutrition
#345
of 622 outputs
Outputs of similar age
#187,424
of 330,680 outputs
Outputs of similar age from Journal of Health, Population and Nutrition
#3
of 5 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 622 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 44th percentile – i.e., 44% 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 330,680 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.