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Estimating body mass and composition from proximal femur dimensions using dual energy x-ray absorptiometry

Body mass prediction from the skeleton most commonly employs femoral head diameter (FHD). However, theoretical predictions and empirical data suggest the relationship between mass and FHD is strongest in young adults, that bone dimensions reflect lean mass better than body or fat mass and that other...

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Autores principales: Pomeroy, Emma, Mushrif-Tripathy, Veena, Kulkarni, Bharati, Kinra, Sanjay, Stock, Jay T., Cole, Tim J., Shirley, Meghan K., Wells, Jonathan C. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6743672/
https://www.ncbi.nlm.nih.gov/pubmed/31565085
http://dx.doi.org/10.1007/s12520-018-0665-z
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author Pomeroy, Emma
Mushrif-Tripathy, Veena
Kulkarni, Bharati
Kinra, Sanjay
Stock, Jay T.
Cole, Tim J.
Shirley, Meghan K.
Wells, Jonathan C. K.
author_facet Pomeroy, Emma
Mushrif-Tripathy, Veena
Kulkarni, Bharati
Kinra, Sanjay
Stock, Jay T.
Cole, Tim J.
Shirley, Meghan K.
Wells, Jonathan C. K.
author_sort Pomeroy, Emma
collection PubMed
description Body mass prediction from the skeleton most commonly employs femoral head diameter (FHD). However, theoretical predictions and empirical data suggest the relationship between mass and FHD is strongest in young adults, that bone dimensions reflect lean mass better than body or fat mass and that other femoral measurements may be superior. Here, we generate prediction equations for body mass and its components using femoral head, neck and proximal shaft diameters and body composition data derived from dual-energy x-ray absorptiometry (DXA) scans of young adults (n = 155, 77 females and 78 males, mean age 22.7 ± 1.3 years) from the Andhra Pradesh Children and Parents Study, Hyderabad, India. Sex-specific regression of log-transformed data on femoral measurements predicted lean mass with smaller standard errors of estimate (SEEs) than body mass (12–14% and 16–17% respectively), while none of the femoral measurements were significant predictors of fat mass. Subtrochanteric mediolateral shaft diameter gave lower SEEs for lean mass in both sexes and for body mass in males than FHD, while FHD was a better predictor of body mass in women. Our results provide further evidence that lean mass is more closely related to proximal femur dimensions than body or fat mass and that proximal shaft diameter is a better predictor than FHD of lean but not always body mass. The mechanisms underlying these relationships have implications for selecting the most appropriate measurement and reference sample for estimating body or lean mass, which also depend on the question under investigation.
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spelling pubmed-67436722019-09-27 Estimating body mass and composition from proximal femur dimensions using dual energy x-ray absorptiometry Pomeroy, Emma Mushrif-Tripathy, Veena Kulkarni, Bharati Kinra, Sanjay Stock, Jay T. Cole, Tim J. Shirley, Meghan K. Wells, Jonathan C. K. Archaeol Anthropol Sci Original Paper Body mass prediction from the skeleton most commonly employs femoral head diameter (FHD). However, theoretical predictions and empirical data suggest the relationship between mass and FHD is strongest in young adults, that bone dimensions reflect lean mass better than body or fat mass and that other femoral measurements may be superior. Here, we generate prediction equations for body mass and its components using femoral head, neck and proximal shaft diameters and body composition data derived from dual-energy x-ray absorptiometry (DXA) scans of young adults (n = 155, 77 females and 78 males, mean age 22.7 ± 1.3 years) from the Andhra Pradesh Children and Parents Study, Hyderabad, India. Sex-specific regression of log-transformed data on femoral measurements predicted lean mass with smaller standard errors of estimate (SEEs) than body mass (12–14% and 16–17% respectively), while none of the femoral measurements were significant predictors of fat mass. Subtrochanteric mediolateral shaft diameter gave lower SEEs for lean mass in both sexes and for body mass in males than FHD, while FHD was a better predictor of body mass in women. Our results provide further evidence that lean mass is more closely related to proximal femur dimensions than body or fat mass and that proximal shaft diameter is a better predictor than FHD of lean but not always body mass. The mechanisms underlying these relationships have implications for selecting the most appropriate measurement and reference sample for estimating body or lean mass, which also depend on the question under investigation. Springer Berlin Heidelberg 2018-06-18 2019 /pmc/articles/PMC6743672/ /pubmed/31565085 http://dx.doi.org/10.1007/s12520-018-0665-z Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Paper
Pomeroy, Emma
Mushrif-Tripathy, Veena
Kulkarni, Bharati
Kinra, Sanjay
Stock, Jay T.
Cole, Tim J.
Shirley, Meghan K.
Wells, Jonathan C. K.
Estimating body mass and composition from proximal femur dimensions using dual energy x-ray absorptiometry
title Estimating body mass and composition from proximal femur dimensions using dual energy x-ray absorptiometry
title_full Estimating body mass and composition from proximal femur dimensions using dual energy x-ray absorptiometry
title_fullStr Estimating body mass and composition from proximal femur dimensions using dual energy x-ray absorptiometry
title_full_unstemmed Estimating body mass and composition from proximal femur dimensions using dual energy x-ray absorptiometry
title_short Estimating body mass and composition from proximal femur dimensions using dual energy x-ray absorptiometry
title_sort estimating body mass and composition from proximal femur dimensions using dual energy x-ray absorptiometry
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6743672/
https://www.ncbi.nlm.nih.gov/pubmed/31565085
http://dx.doi.org/10.1007/s12520-018-0665-z
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