Literature DB >> 11041072

Anthropometry and methods of body composition measurement for research and field application in the elderly.

S B Heymsfield1, C Nuñez, C Testolin, D Gallagher.   

Abstract

Evaluation of body composition is important in the study of human energy and protein metabolism as methods are available for quantifying energy stores and protein content at a single point in time; energy-protein balance can be monitored over time; and dynamic measures of energy and protein metabolism can be referenced to body mass and related measurable components for between-individual comparisons. This review emphasizes the need for considering subject age when developing body composition component prediction models that are applied in elderly populations. An overview of body composition research is provided that emphasizes compartment and level definitions and interrelations. Two broad method categories, mechanistic and descriptive, are then critically examined in relation to their role in energy-protein metabolism and aging research. Our collective review indicates that all major body composition components are now measurable using one or more methods that are based on non age-dependent assumptions. We also found that some methods, particularly descriptive field methods (eg anthropometry), may be based on age-sensitive assumptions and measurements and suggestions for future development of these methods are provided. Lastly, as body composition differences between races, cultures, and countries are now recognized, it would be useful to create international cooperative groups with the aim of developing widely applicable descriptive field methods based on simple available techniques such as anthropometry and bioimpedance analysis.

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Year:  2000        PMID: 11041072     DOI: 10.1038/sj.ejcn.1601022

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  14 in total

1.  Differences in weight gain in hypertensive and diabetic elderly patients primary care study.

Authors:  Z Jancso; E Halmy; I Rurik
Journal:  J Nutr Health Aging       Date:  2012       Impact factor: 4.075

Review 2.  A systematic review of body fat distribution and mortality in older people.

Authors:  Su-Hsin Chang; Tracey S Beason; Jean M Hunleth; Graham A Colditz
Journal:  Maturitas       Date:  2012-05-16       Impact factor: 4.342

3.  Socio-demographic, behavioral and functional characteristics of groups of community and institutionalized elderly Quechua Indians of Peru, and their association with nutritional status.

Authors:  Laura Fortunato; Andrea G Drusini
Journal:  J Cross Cult Gerontol       Date:  2005-06

4.  Adipose Tissue Distribution and Cardiovascular Disease Risk Among Breast Cancer Survivors.

Authors:  Elizabeth M Cespedes Feliciano; Wendy Y Chen; Patrick T Bradshaw; Carla M Prado; Stacey Alexeeff; Kathleen B Albers; Adrienne L Castillo; Bette J Caan
Journal:  J Clin Oncol       Date:  2019-08-01       Impact factor: 44.544

Review 5.  The Importance of Body Composition in Explaining the Overweight Paradox in Cancer-Counterpoint.

Authors:  Bette J Caan; Elizabeth M Cespedes Feliciano; Candyce H Kroenke
Journal:  Cancer Res       Date:  2018-04-15       Impact factor: 12.701

Review 6.  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

7.  Integrated electronic platforms for weight loss.

Authors:  Shelly K McCrady-Spitzer; James A Levine
Journal:  Expert Rev Med Devices       Date:  2010-03       Impact factor: 3.166

8.  Validity of a new automated software program for visceral adipose tissue estimation.

Authors:  E W Demerath; K J Ritter; W A Couch; N L Rogers; G M Moreno; A Choh; M Lee; K Remsberg; S A Czerwinski; W C Chumlea; R M Siervogel; B Towne
Journal:  Int J Obes (Lond)       Date:  2006-06-13       Impact factor: 5.095

9.  Automated anthropometric phenotyping with novel Kinect-based three-dimensional imaging method: comparison with a reference laser imaging system.

Authors:  L Soileau; D Bautista; C Johnson; C Gao; K Zhang; X Li; S B Heymsfield; D Thomas; J Zheng
Journal:  Eur J Clin Nutr       Date:  2015-09-16       Impact factor: 4.016

10.  Health enhancing strength training in nonagenarians (STRONG): rationale, design and methods.

Authors:  José A Serra Rexach; Jonatan R Ruiz; Natalia Bustamante-Ara; Margarita Hierro Villarán; Pedro González Gil; Maria J Sanz Ibáñez; Nekane Blanco Sanz; Victor Ortega Santamaría; Natalia Gutiérrez Sanz; Ana B Marín Prada; Cristian Gallardo; Gabriel Rodríguez Romo; Alejandro Lucia
Journal:  BMC Public Health       Date:  2009-05-26       Impact factor: 3.295

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