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Anthropometry to assess body fat in Indonesian adults

Hastuti, J, Kagawa, M, Byrne, N ORCID: 0000-0001-5310-6640 and Hills, AP ORCID: 0000-0002-7787-7201 2017 , 'Anthropometry to assess body fat in Indonesian adults' , Asia Pacific Journal of Clinical Nutrition , doi: 10.6133/apjcn.092017.02.

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Abstract

Background and Objectives: Anthropometric equations are widely used to estimate bodycomposition however, are only appropriate for use in populations in which they have beendeveloped and validated. The present study developed anthropometric prediction equationsfor Indonesian adults and cross-validated them with selected equations used in this population.Methods and Study Design: Six hundred Indonesian adults aged between 18–65 years (292males and 308 females) were divided equally into development and validation groups. Stature,body weight, skinfold thickness at eight sites, girth at five sites, and bone breadth at four siteswere measured. Stepwise multiple regression analysis was used to propose percentage bodyfat (%BF) prediction equations using measured variables and %BF from the deuterium oxidedilution technique as the reference. The proposed prediction equations were thencross-validated using the validation group and %BF estimated from several existingequations. Results: Proposed prediction equations showed r ranged from 0.82 to 0.86 andStandard Error of the Estimate (SEE) from 4.7 to 5.4%. Cross-validation analysis showedbias with the reference %BF between 0.2 and 3.3% and Pure Error (PE) between 2.8 and4.0%. Among the existing equations, the Durnin and Womersley equation was applicable infemales whilst the equation by Davidson et al. underestimated %BF by 6.3–6.6% and theequation by Gurrici et al overestimated by 2.0–3.4% in both genders (pConclusion: The proposed prediction equations provide better options for accurate prediction of %BF inIndonesian adults.

Item Type: Article
Authors/Creators:Hastuti, J and Kagawa, M and Byrne, N and Hills, AP
Journal or Publication Title: Asia Pacific Journal of Clinical Nutrition
Publisher: H E C Press
ISSN: 0964-7058
DOI / ID Number: 10.6133/apjcn.092017.02
Copyright Information:

© 2011 airiti Inc. All rights reserved. Airiti Inc.

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