Literature DB >> 16277823

Laboratory and field measurements of body composition.

N G Norgan1.   

Abstract

OBJECTIVE: This background paper was prepared in response to a request to review the concepts related to measurement of body composition, to discuss laboratory and field methods of assessing body composition and to discuss the practical applications of the methods--how they might be used singly or in combination to provide data for a selected population.
DESIGN: The common laboratory and field methods are described and discussed, with particular attention to the assumptions involved and the applicability of the methods to the different population groups. Most measurements of body composition are made in the field, at the bedside or clinic as opposed to in the laboratory. The laboratory methods have a role to play in their own right, in research into new concepts, models and methods. However, they are particularly important in establishing the accuracy of the field methods.
SETTING: Field, bedside and laboratory studies.
SUBJECTS: Children, adults, the elderly, ethnic groups.
RESULTS: Laboratory estimates of body compositions are best performed by multi-component methods or by 2-component methods adjusted for to the populations under investigation. There is a scarcity of data for most of the populations in the world.
CONCLUSIONS: Energy requirements based on body weight are an approximation since they do not take into account differences in body composition, which will better determine the true requirements. The measurement of body composition occurs in many branches of biology and medicine. It is used in the assessment of nutritional and growth status and in disease states and their treatment. Energy stores, skeletal muscle and protein content can be determined and changes monitored. In human energetics, body composition is widely used for the standardisation of other variables, such as basal metabolic rate (BMR), in the assessments of ethnic and environmental differences and of variability and adaptation to different levels of nutrition. Choosing a method is very problematic. Users want simple, inexpensive, rapid, safe accurate methods to measure body composition but speed and simplicity come at the expense of accuracy. Recommendations are made for age, sex, and in some cases, fatness and ethnic specific methods.

Entities:  

Mesh:

Year:  2005        PMID: 16277823     DOI: 10.1079/phn2005799

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  21 in total

1.  Proposal of new body composition prediction equations from bioelectrical impedance for Indonesian men.

Authors:  J Hastuti; M Kagawa; N M Byrne; A P Hills
Journal:  Eur J Clin Nutr       Date:  2016-06-29       Impact factor: 4.016

2.  A comparison of prediction equations for the estimation of body fat percentage in non-obese and obese older Caucasian adults in the United States.

Authors:  A J Chambers; E Parise; J L McCrory; R Cham
Journal:  J Nutr Health Aging       Date:  2014       Impact factor: 4.075

Review 3.  The neuropathology of obesity: insights from human disease.

Authors:  Edward B Lee; Mark P Mattson
Journal:  Acta Neuropathol       Date:  2013-10-06       Impact factor: 17.088

4.  Reliability of anthropometric measures in a longitudinal cohort of patients initiating ART in West Africa.

Authors:  Maryline Sicotte; Marielle Ledoux; Maria-Victoria Zunzunegui; Souleymane Ag Aboubacrine; Vinh-Kim Nguyen
Journal:  BMC Med Res Methodol       Date:  2010-10-22       Impact factor: 4.615

5.  Body adiposity index and incident hypertension: the Aerobics Center Longitudinal Study.

Authors:  D Moliner-Urdiales; E G Artero; X Sui; V España-Romero; Dc Lee; S N Blair
Journal:  Nutr Metab Cardiovasc Dis       Date:  2014-03-28       Impact factor: 4.222

6.  Prediction of percent body fat measurements in Americans 8 years and older.

Authors:  J Stevens; F-S Ou; J Cai; S B Heymsfield; K P Truesdale
Journal:  Int J Obes (Lond)       Date:  2015-11-05       Impact factor: 5.095

7.  Predicting body composition in college students using the womersley and durnin body mass index equation.

Authors:  Jeremy P Loenneke; Kathryn M Hirt; Jacob M Wilson; Jeremy T Barnes; Thomas J Pujol
Journal:  Asian J Sports Med       Date:  2013-02-16

8.  Validity of impedance-based predictions of total body water as measured by 2H dilution in African HIV/AIDS outpatients.

Authors:  Adama Diouf; Agnès Gartner; Nicole Idohou Dossou; Dominique Alexis Sanon; Les Bluck; Antony Wright; Salimata Wade
Journal:  Br J Nutr       Date:  2008-10-10       Impact factor: 3.718

9.  The Content of Minerals in the PCOS Group and the Correlation with the Parameters of Metabolism.

Authors:  Kamila Pokorska-Niewiada; Agnieszka Brodowska; Małgorzata Szczuko
Journal:  Nutrients       Date:  2021-06-28       Impact factor: 5.717

10.  Body adiposity index and all-cause and cardiovascular disease mortality in men.

Authors:  Diego Moliner-Urdiales; Enrique G Artero; Duck-Chul Lee; Vanesa España-Romero; Xuemei Sui; Steven N Blair
Journal:  Obesity (Silver Spring)       Date:  2013-05-29       Impact factor: 5.002

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