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dc.contributor.authorKulkarni, Bharati
dc.contributor.authorKuper, Hannah
dc.contributor.authorTaylor, Amy
dc.contributor.authorWells, Jonathan C
dc.contributor.authorRadhakrishna, KV
dc.contributor.authorKinra, Sanjay
dc.contributor.authorBen-Shlomo, Yoav
dc.contributor.authorSmith, George Davey
dc.contributor.authorEbrahim, Shah
dc.contributor.authorByrne, Nuala M
dc.contributor.authorHills, Andrew P
dc.date.accessioned2017-05-03T16:17:48Z
dc.date.available2017-05-03T16:17:48Z
dc.date.issued2013
dc.identifier.issn8750-7587
dc.identifier.doi10.1152/japplphysiol.00777.2013
dc.identifier.urihttp://hdl.handle.net/10072/58670
dc.description.abstractLean body mass (LBM) and muscle mass remain difficult to quantify in large epidemiological studies due to the unavailability of inexpensive methods. We therefore developed anthropometric prediction equations to estimate the LBM and appendicular lean soft tissue (ALST) using dual-energy X-ray absorptiometry (DXA) as a reference method. Healthy volunteers (n = 2,220; 36% women; age 18-79 yr), representing a wide range of body mass index (14-44 kg/m2), participated in this study. Their LBM, including ALST, was assessed by DXA along with anthropometric measurements. The sample was divided into prediction (60%) and validation (40%) sets. In the prediction set, a number of prediction models were constructed using DXA-measured LBM and ALST estimates as dependent variables and a combination of anthropometric indices as independent variables. These equations were cross-validated in the validation set. Simple equations using age, height, and weight explained >90% variation in the LBM and ALST in both men and women. Additional variables (hip and limb circumferences and sum of skinfold thicknesses) increased the explained variation by 5-8% in the fully adjusted models predicting LBM and ALST. More complex equations using all of the above anthropometric variables could predict the DXA-measured LBM and ALST accurately, as indicated by low standard error of the estimate (LBM: 1.47 kg and 1.63 kg for men and women, respectively), as well as good agreement by Bland-Altman analyses (Bland JM, Altman D. Lancet 1: 307-310, 1986). These equations could be a valuable tool in large epidemiological studies assessing these body compartments in Indians and other population groups with similar body composition.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherAmerican Physiological Society
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom1156
dc.relation.ispartofpageto1162
dc.relation.ispartofissue8
dc.relation.ispartofjournalJournal of Applied Physiology
dc.relation.ispartofvolume115
dc.rights.retentionY
dc.subject.fieldofresearchBiological sciences
dc.subject.fieldofresearchBiomedical and clinical sciences
dc.subject.fieldofresearchExercise physiology
dc.subject.fieldofresearchcode31
dc.subject.fieldofresearchcode32
dc.subject.fieldofresearchcode420702
dc.titleDevelopment and validation of anthropometric prediction equations for estimation of lean body mass and appendicular lean soft tissue in Indian men and women
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.rights.copyrightSelf-archiving of the author-manuscript version is not yet supported by this journal. Please refer to the journal link for access to the definitive, published version or contact the authors for more information.
gro.date.issued2015-06-03T02:24:39Z
gro.hasfulltextNo Full Text
gro.griffith.authorHills, Andrew


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