Development and validation of anthropometric prediction equations for estimation of body fat in indonesian men
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...
| Main Authors: | , , , |
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| Format: | Journal Article |
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HEC Press
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/55990 |
| _version_ | 1848759758335508480 |
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| author | Hastuti, J. Kagawa, Masaharu Byrne, N. Hills, A. |
| author_facet | Hastuti, J. Kagawa, Masaharu Byrne, N. Hills, A. |
| author_sort | Hastuti, J. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T10:04:58Z |
| format | Journal Article |
| id | curtin-20.500.11937-55990 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:04:58Z |
| publishDate | 2013 |
| publisher | HEC Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-559902017-09-13T16:11:12Z Development and validation of anthropometric prediction equations for estimation of body fat in indonesian men Hastuti, J. Kagawa, Masaharu Byrne, N. Hills, A. 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. 2013 Journal Article http://hdl.handle.net/20.500.11937/55990 10.6133/apjcn.2013.22.4.14 HEC Press restricted |
| spellingShingle | Hastuti, J. Kagawa, Masaharu Byrne, N. Hills, A. Development and validation of anthropometric prediction equations for estimation of body fat in indonesian men |
| title | Development and validation of anthropometric prediction equations for estimation of body fat in indonesian men |
| title_full | Development and validation of anthropometric prediction equations for estimation of body fat in indonesian men |
| title_fullStr | Development and validation of anthropometric prediction equations for estimation of body fat in indonesian men |
| title_full_unstemmed | Development and validation of anthropometric prediction equations for estimation of body fat in indonesian men |
| title_short | Development and validation of anthropometric prediction equations for estimation of body fat in indonesian men |
| title_sort | development and validation of anthropometric prediction equations for estimation of body fat in indonesian men |
| url | http://hdl.handle.net/20.500.11937/55990 |