Development and validation of anthropometric prediction equations for estimation of lean body mass and appendicular lean soft tissue in Indian men and women

Bharati Kulkarni*, Hannah Kuper, Amy Taylor, Jonathan C. Wells, K. V. Radhakrishna, Sanjay Kinra, Yoav Ben-Shlomo, George Davey Smith, Shah Ebrahim, Nuala M. Byrne, Andrew P. Hills

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

27 Citations (Scopus)

Abstract

Lean body mass (LBM) and muscle mass remains difficult to quantify in large epidemiological studies due to non-availability 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= 2220; 36% females; age 18-79 y) 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 SFTs) increased the explained variation by 5-8% in the fully adjusted models predicting LBM and ALST. More complex equations using all 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 by agreement by Bland Altman analyses. 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.
Original languageEnglish
Pages (from-to)1156-1162
Number of pages7
JournalJournal of Applied Physiology
Volume115
Issue number8
DOIs
Publication statusPublished - 15 Aug 2013

Structured keywords

  • Brain and Behaviour
  • Tobacco and Alcohol

Keywords

  • lean body mass
  • appendicular lean soft tissue
  • anthropometry
  • prediction equation
  • Indian
  • SKELETAL-MUSCLE MASS
  • X-RAY ABSORPTIOMETRY
  • SKINFOLD-THICKNESS
  • GENERALIZED EQUATIONS
  • CHILDREN
  • MODEL
  • FAT
  • DENSITY
  • INDEX
  • CHILDHOOD

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