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Development and validation of anthropometric prediction equations for estimation of body fat in Indonesian men


Hastuti, J and Kagawa, M and Byrne, NM and Hills, AP, Development and validation of anthropometric prediction equations for estimation of body fat in Indonesian men, Asia Pacific Journal of Clinical Nutrition, 22, (4) pp. 522-9. ISSN 0964-7058 (2013) [Refereed Article]

Copyright Statement

2011 Airiti Inc. All rights reserved.

DOI: doi:10.6133/apjcn.2013.22.4.14


Body composition of 292 males aged between 18 and 65 years was measured using the deuterium oxide dilution technique. Participants were divided into development (n=146) and cross-validation (n=146) groups. Stature, body weight, skinfold thickness at eight sites, girth at five sites, and bone breadth at four sites were measured and body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-stature ratio (WSR) calculated. Equations were developed using multiple regression analyses with skinfolds, breadth and girth measures, BMI, and other indices as independent variables and percentage body fat (%BF) determined from deuterium dilution technique as the reference. All equations were then tested in the cross-validation group. Results from the reference method were also compared with existing prediction equations by Durnin and Womersley (1974), Davidson et al (2011), and Gurrici et al (1998). The proposed prediction equations were valid in our cross-validation samples with r=0.77- 0.86, bias 0.2-0.5%, and pure error 2.8-3.6%. The strongest was generated from skinfolds with r=0.83, SEE 3.7%, and AIC 377.2. The Durnin and Womersley (1974) and Davidson et al (2011) equations significantly (p<0.001) underestimated %BF by 1.0 and 6.9% respectively, whereas the Gurrici et al (1998) equation significantly (p<0.001) overestimated %BF by 3.3% in our cross-validation samples compared to the reference. Results suggest that the proposed prediction equations are useful in the estimation of %BF in Indonesian men.

Item Details

Item Type:Refereed Article
Research Division:Health Sciences
Research Group:Health services and systems
Research Field:Health services and systems not elsewhere classified
Objective Division:Health
Objective Group:Specific population health (excl. Indigenous health)
Objective Field:Men's health
UTAS Author:Byrne, NM (Professor Nuala Byrne)
UTAS Author:Hills, AP (Professor Andrew Hills)
ID Code:109904
Year Published:2013
Web of Science® Times Cited:10
Deposited By:Health Sciences
Deposited On:2016-07-06
Last Modified:2017-11-07

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