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Development and validation of anthropometric prediction equations for estimation of lean body mass and appendicular lean soft tissue in Indian men and women
Citation
Kulkarni, B and Kuper, H and Taylor, A and Wells, JC and Radhakrishna, KV and Kinra, S and Ben-Shlomo, Y and Smith, GD and Ebrahim, S and Byrne, NM and Hills, AP, Development and validation of anthropometric prediction equations for estimation of lean body mass and appendicular lean soft tissue in Indian men and women, Journal of applied physiology, 115, (8) pp. 1156-62. ISSN 8750-7587 (2013) [Refereed Article]
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Copyright Statement
Copyright 2013 the American Physiological Society. Licensed under Creative Commons Attribution (CC-BY 3.0) https://creativecommons.org/licenses/by/3.0/
DOI: doi:10.1152/japplphysiol.00777.2013
Abstract
Lean 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/m(2)), 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.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | Indian; anthropometry, appendicular lean soft tissue, lean body mass, prediction equation |
| Research Division: | Health Sciences |
| Research Group: | Health services and systems |
| Research Field: | Health services and systems not elsewhere classified |
| Objective Division: | Health |
| Objective Group: | Specific population health (excl. Indigenous health) |
| Objective Field: | Specific population health (excl. Indigenous health) not elsewhere classified |
| UTAS Author: | Byrne, NM (Professor Nuala Byrne) |
| UTAS Author: | Hills, AP (Professor Andrew Hills) |
| ID Code: | 109762 |
| Year Published: | 2013 |
| Web of Science® Times Cited: | 24 |
| Deposited By: | Health Sciences |
| Deposited On: | 2016-06-29 |
| Last Modified: | 2017-11-06 |
| Downloads: | 119 View Download Statistics |
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