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Generalised equations for the prediction of percentage body fat by anthropometry in adult men and women aged 18-81 years

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dc.contributor.author Leahy, Siobhan
dc.contributor.author O'Neill, Cian
dc.contributor.author Sohun, Rhoda
dc.contributor.author Jakeman, Philip M.
dc.date.accessioned 2014-05-26T11:36:35Z
dc.date.available 2014-05-26T11:36:35Z
dc.date.issued 2013
dc.identifier.citation Leahy, S,O'Neill, C,Sohun, R,Toomey, C,Jakeman, P (2013) 'Generalised equations for the prediction of percentage body fat by anthropometry in adult men and women aged 18-81 years'. British Journal Of Nutrition, 109 :678-685. en_US
dc.identifier.uri http://hdl.handle.net/10344/3833
dc.description peer-reviewed en_US
dc.description.abstract Anthropometric data indicate that the human phenotype is changing. Today's adult is greater in stature, body mass and fat mass. Accurate measurement of body composition is necessary to maintain surveillance of obesity within the population and to evaluate associated interventions. The aim of the present study was to construct and validate generalised equations for percentage body fat (%BF) prediction from anthropometry in 1136 adult men and women. Reference values for %BF were obtained using dual-energy X-ray absorptiometry. Skinfold thickness (SF) at ten sites and girth (G) at seven sites were measured on 736 men and women aged 18-81 years (%BF 5.1-56.8%). Quantile regression was employed to construct prediction equations from age and log-transformed SF and G measures. These equations were then cross-validated on a cohort of 400 subjects of similar age and fatness. The following generalised equations were found to most accurately predict %BF:Men: (age x 0.1) + (logtricepsSF x 7.6) + (logmidaxillaSF x 8.8) + (logsuprspinaleSF x 11.9) - 11.3 (standard error of the estimate: 2.5%, 95% limits of agreement: -4.8, +4.9)Women: (age x 0.1) + (logabdominalG x 39.4) + (logmidaxillaSF x 4.9) + (logbicepsSF x 11.0) + (logmedialcalfSF x 9.1) - 73.5 (standard error of the estimate: 3.0%, 95% limits of agreement: -5.7, + 5.9)These generalised anthropometric equations accurately predict % BF and are suitable for the measurement of % BF in adult men and women of varying levels of fatness across the lifespan. en_US
dc.language.iso eng en_US
dc.publisher Cambridge University Press en_US
dc.relation.ispartofseries British Journal of Nutrition;109, pp. 678-685
dc.relation.uri http://dx.doi.org/10.1017/S0007114512001870
dc.rights Material on these pages is copyright Cambridge University Press or reproduced with permission from other copyright owners. It may be downloaded and printed for personal reference, but not otherwise copied, altered in any way or transmitted to others (unless explicitly stated otherwise) without the written permission of Cambridge University Press. Hypertext links to other Web locations are for the convenience of users and do not constitute any endorsement or authorisation by Cambridge University Press. en_US
dc.subject body composition en_US
dc.subject adipose tissue en_US
dc.subject obesity en_US
dc.subject skinfold thickness en_US
dc.subject X-ray absorptiometry en_US
dc.subject young en_US
dc.subject density en_US
dc.title Generalised equations for the prediction of percentage body fat by anthropometry in adult men and women aged 18-81 years en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.date.updated 2014-05-26T11:24:39Z
dc.description.version PUBLISHED
dc.identifier.doi 10.1017/S0007114512001870
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 1442383
dc.internal.copyrightchecked Yes
dc.description.status peer-reviewed


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