Literature DB >> 23132592

Accuracy and concordance of anthropometry for measuring regional fat distribution in adults aged 20-55 years.

Aldo Scafoglieri1, Jonathan Tresignie, Steven Provyn, Mike Marfell-Jones, Keith George, Jan Pieter Clarys, Ivan Bautmans.   

Abstract

OBJECTIVES: This study aimed to assess the accuracy and concordance of anthropometrically derived prediction equations for the estimation of regional fat mass (FM) distribution.
METHODS: Sixty-two white males and 50 females with a large range of age (20-55 years) and BMI (16.6-33.4 kg/m(2)) were included. Whole body dual energy X-ray absorptiometry (DXA) scans were acquired and anthropometric prediction equations for regional FM were developed and cross-validated. On the basis of the total sample two anthropometrically derived indices of FM distribution [Formula: see text] ratio and [Formula: see text] ratio were compared with their DXA analogues.
RESULTS: In both sexes multiple linear regression models predicted the regional DXA fat masses with good accuracy (P < 0.001). In men mean bias (limits of agreement) were: -6.8 g (-535,364) for FM(arms), 65 g (-1921,2052) for FM(trunk), -21 g (-1374,1332) for FM(legs), -0.2% (-5.0,4.7) for %FM(trunk) and -0.5% (-6.8,5.8) for %FM(legs). In women mean difference (limits of agreement) were: -86 g (-463,450) for FM(arms), 30 g (-1784,1844) for FM(trunk), -278 g (-1782,1227) for FM(legs), 0.4% (-5.5,6.3) for %FM(trunk), and 0.3% (-8.3,8.9) for %FM(legs). No systematic (constant and proportional) differences between methods for the determination of FM distribution ratios were found, suggesting method interchangeability. The concordance for subject classification based on t-scores according to the National Health and Nutrition Examination Survey (NHANES) was significant (P < 0.001), with substantial agreement for [Formula: see text] ratio (κ(w) = 0.80) and [Formula: see text] ratio (κ(w) = 0.75).
CONCLUSION: Anthropometric variables offer promise to the development of simple, noninvasive, and inexpensive screening to identify individuals with abnormal FM distribution. The anthropometrically derived indices of FM distribution demonstrate sufficient accuracy for clinical use. Am. J. Hum. Biol., 2013. © 2012 Wiley Periodicals, Inc.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 23132592     DOI: 10.1002/ajhb.22342

Source DB:  PubMed          Journal:  Am J Hum Biol        ISSN: 1042-0533            Impact factor:   1.937


  4 in total

Review 1.  Use of anthropometry for the prediction of regional body tissue distribution in adults: benefits and limitations in clinical practice.

Authors:  Aldo Scafoglieri; Jan Pieter Clarys; Erik Cattrysse; Ivan Bautmans
Journal:  Aging Dis       Date:  2013-12-15       Impact factor: 6.745

2.  Predicting muscular strength using demographics, skeletal dimensions, and body composition measures.

Authors:  Sean T Stanelle; Stephen F Crouse; Tyler R Heimdal; Steven E Riechman; Alexandra L Remy; Bradley S Lambert
Journal:  Sports Med Health Sci       Date:  2021-02-15

3.  Prediction of Android and Gynoid Body Adiposity via a Three-dimensional Stereovision Body Imaging System and Dual-Energy X-ray Absorptiometry.

Authors:  Jane J Lee; Jeanne H Freeland-Graves; M Reese Pepper; Philip R Stanforth; Bugao Xu
Journal:  J Am Coll Nutr       Date:  2015-04-27       Impact factor: 3.169

4.  Shift in body fat distribution from lower body to upper body among urban Colombian women, 1988-1989 to 2007-2008.

Authors:  Richard L Bender; Traci A Bekelman; Paul A Sandberg; Darna L Dufour; Julio C Reina
Journal:  Public Health Nutr       Date:  2020-04-02       Impact factor: 4.022

  4 in total

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