Literature DB >> 14618484

Validity of body composition methods across ethnic population groups.

P Deurenberg1, M Deurenberg-Yap.   

Abstract

Most in vivo body composition methods rely on assumptions that may vary among different population groups as well as within the same population group. The assumptions are based on in vitro body composition (carcass) analyses. The majority of body composition studies were performed on Caucasians and much of the information on validity methods and assumptions were available only for this ethnic group. It is assumed that these assumptions are also valid for other ethnic groups. However, if apparent differences across ethnic groups in body composition 'constants' and body composition 'rules' are not taken into account, biased information on body composition will be the result. This in turn may lead to misclassification of obesity or underweight at an individual as well as a population level. There is a need for more cross-ethnic population studies on body composition. Those studies should be carried out carefully, with adequate methodology and standardization for the obtained information to be valuable.

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Year:  2003        PMID: 14618484     DOI: 10.1007/s00592-003-0077-z

Source DB:  PubMed          Journal:  Acta Diabetol        ISSN: 0940-5429            Impact factor:   4.280


  26 in total

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2.  Development of a single-frequency bioimpedance prediction equation for fat-free mass in an adult Indigenous Australian population.

Authors:  J T Hughes; L J Maple-Brown; L S Piers; J Meerkin; K O'Dea; L C Ward
Journal:  Eur J Clin Nutr       Date:  2014-04-23       Impact factor: 4.016

3.  The association of trajectories of protein intake and age-specific protein intakes from 2 to 22 years with BMI in early adulthood.

Authors:  Melecia Wright; Daniela Sotres-Alvarez; Michelle A Mendez; Linda Adair
Journal:  Br J Nutr       Date:  2017-03-28       Impact factor: 3.718

4.  Calibration of bioelectrical impedance analysis for body composition assessment in Ethiopian infants using air-displacement plethysmography.

Authors:  R Wibæk; P Kæstel; S R Skov; D L Christensen; T Girma; J C K Wells; H Friis; G S Andersen
Journal:  Eur J Clin Nutr       Date:  2015-04-01       Impact factor: 4.016

5.  Predicting fat percent by skinfolds in racial groups: Durnin and Womersley revisited.

Authors:  Lance E Davidson; Jack Wang; John C Thornton; Zafar Kaleem; Federico Silva-Palacios; Richard N Pierson; Steven B Heymsfield; Dympna Gallagher
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Authors:  Andrea P Rossi; Tamara B Harris; Francesco Fantin; Fabio Armellini; Mauro Zamboni
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7.  Interactions between race/ethnicity and anthropometry in risk of incident diabetes: the multi-ethnic study of atherosclerosis.

Authors:  Pamela L Lutsey; Mark A Pereira; Alain G Bertoni; Namratha R Kandula; David R Jacobs
Journal:  Am J Epidemiol       Date:  2010-06-21       Impact factor: 4.897

8.  The Role of Body Size in Mate Selection among African American Young Adults.

Authors:  Ellen M Granberg; Leslie G Simons; Ronald L Simons
Journal:  Sex Roles       Date:  2015-08-01

9.  Association between urinary paraben concentrations and gestational weight gain during pregnancy.

Authors:  Qiuping Wen; Yanqiu Zhou; Youjie Wang; Jiufeng Li; Hongzhi Zhao; Jiaqiang Liao; Hongxiu Liu; Yuanyuan Li; Zongwei Cai; Wei Xia
Journal:  J Expo Sci Environ Epidemiol       Date:  2020-02-10       Impact factor: 5.563

Review 10.  Integrating anthropometric and cardiometabolic health methods in stress, early experiences, and development (SEED) science.

Authors:  Jenalee R Doom; Brie M Reid; Emily Nagel; Sheila Gahagan; Ellen W Demerath; Julie C Lumeng
Journal:  Dev Psychobiol       Date:  2020-09-09       Impact factor: 3.038

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