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Abstract

Background and Objectives: Anthropometric equations are widely used to estimate body composition however,are only appropriate for use in populations in which they have been developed and validated. The present studydeveloped anthropometric prediction equations for Indonesian adults and cross-validated them with selectedequations used in this population. Methods and Study Design: Six hundred Indonesian adults aged between 18–65 years (292 males 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 sites were measured.Stepwise multiple regression analysis was used to propose percentage body fat (%BF) prediction equations usingmeasured variables and %BF from the deuterium oxide dilution technique as the reference. The proposed predictionequations were then cross-validated using the validation group and %BF estimated from several existingequations. Results: Proposed prediction equations showed r ranged from 0.82 to 0.86 and Standard Error of theEstimate (SEE) from 4.7 to 5.4%. Cross-validation analysis showed bias with the reference %BF between 0.2 and3.3% and Pure Error (PE) between 2.8 and 4.0%. Among the existing equations, the Durnin and Womersleyequation was applicable in females whilst the equation by Davidson et al. underestimated %BF by 6.3–6.6% andthe equation by Gurrici et al overestimated by 2.0–3.4% in both genders (pConclusion: The proposedprediction equations provide better options for accurate prediction of %BF in Indonesian adults.

Item Type:	Article
Authors/Creators:	Hastuti, J and Kagawa, M and Byrne, NM and Hills, AP
Keywords:	body composition, percentage body fat, prediction equation, anthropometry, Indonesian adults
Journal or Publication Title:	Asia Pacific Journal of Clinical Nutrition
Publisher:	HEC Press
ISSN:	0964-7058
DOI / ID Number:	https://doi.org/10.6133/apjcn.092017.02
Copyright Information:	Copyright 2018 HEC Press
Related URLs:	Google Scholar: Byrne, NM UTAS Profile: Byrne, NM Google Scholar: Hills, AP UTAS Profile: Hills, AP
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