159
Views
2
CrossRef citations to date
0
Altmetric
Articles

Validation of a New Skinfold Prediction Equation Based on Dual-Energy X-Ray Absorptiometry

, , &
Pages 198-208 | Published online: 12 Jun 2014
 

Abstract

Skinfold prediction equations recommended by the American College of Sports Medicine underestimate body fat percentage. The purpose of this research was to validate an alternative equation for men created from dual energy x-ray absorptiometry. Two hundred ninety-seven males, aged 18–65, completed a skinfold assessment and dual energy x-ray absorptiometry scan to determine percent of body fat. Three American College of Sports Medicine equations (JP7, JP3a, and JP3b) and the new dual energy x-ray absorptiometry criterion equation were used to predict percent of body fat. Mean age was 32.4 ± 14.0 years and mean BMI was 25.6 ± 3.3 kg/m2. The mean dual energy x-ray absorptiometry percent of body fat was 18.0 ± 5.9. The mean percent of body fat for Dual Energy X-Ray Aborptiometry (DC), JP7, JP3a, and JP3b were 19.1 ± 6.3, 16.1 ± 7.4, 14.8 ± 6.8, 15.6 ± 6.7, respectively. The standard error of the estimate of DC was low (2.72%) and was highly correlated (R2 = 0.87) with dual energy x-ray absorptiometry. The DC equation more accurately predicted percent of body fat across a general population of men than the recommended American College of Sports Medicine equations.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 389.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.