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

Janatin Hastuti, Masaharu Kagawa, Nuala M. Byrne, Andrew P. Hills

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9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)522-529
Number of pages8
JournalAsia Pacific Journal of Clinical Nutrition
Volume22
Issue number4
DOIs
Publication statusPublished - Nov 2013
Externally publishedYes

Fingerprint

Indicator Dilution Techniques
Adipose Tissue
Body Mass Index
Deuterium Oxide
Skinfold Thickness
Waist-Hip Ratio
Deuterium
Body Composition
Body Weight
Regression Analysis
Bone and Bones

Cite this

Hastuti, Janatin ; Kagawa, Masaharu ; Byrne, Nuala M. ; Hills, Andrew P. / Development and validation of anthropometric prediction equations for estimation of body fat in indonesian men. In: Asia Pacific Journal of Clinical Nutrition. 2013 ; Vol. 22, No. 4. pp. 522-529.
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abstract = "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.",
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Development and validation of anthropometric prediction equations for estimation of body fat in indonesian men. / Hastuti, Janatin; Kagawa, Masaharu; Byrne, Nuala M.; Hills, Andrew P.

In: Asia Pacific Journal of Clinical Nutrition, Vol. 22, No. 4, 11.2013, p. 522-529.

Research output: Contribution to journalArticleResearchpeer-review

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