362
Views
18
CrossRef citations to date
0
Altmetric
Research Papers

Estimating total body fat using a skinfold prediction equation in Brazilian children

, , , &
Pages 156-160 | Received 12 Aug 2011, Accepted 23 Jan 2012, Published online: 13 Feb 2012
 

Abstract

Background: The double burden of obesity and underweight is increasing in developing countries and simple methods for the assessment of fat mass in children are needed.

Aim: To develop and validate a new anthropometric predication equation for assessment of fat mass in children.

Subjects and methods: Body composition was assessed in 145 children aged 9.8 ± 1.3 (SD) years from São Paulo, Brazil using dual energy X-ray absorptiometry (DEXA) and skinfold measurements. The study sample was divided into development and validation sub-sets to develop a new prediction equation for FM (PE).

Results: Using multiple linear regression analyses, the best equation for predicting FM (R2 = 0.77) included body weight, triceps skinfold, height, gender and age as independent variables. When cross-validated, the new PE was valid in this sample (R2 = 0.80), while previously published equations were not.

Conclusion: The PE was more valid for Brazilian children that existing equations, but further studies are needed to assess the validity of this PE in other populations.

Declaration of interest: The authors report no conflict of interest. The authors alone are responsible for the content and writing of the paper.

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 65.00 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.