Literature DB >> 8974099

NIH Consensus statement. Bioelectrical impedance analysis in body composition measurement. National Institutes of Health Technology Assessment Conference Statement. December 12-14, 1994.

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Abstract

OBJECTIVE: To provide physicians with a responsible assessment of bioelectrical impedance analysis (BIA) technology for body composition measurement. PARTICIPANTS: A non-Federal, nonadvocate, 13-member panel representing the fields of nutrition, pediatrics, surgery, public health, biomedical engineering, epidemiology, and biostatistics. In addition, 20 experts in nutrition, pediatrics, metabolism, biomedical engineering, physiology, and epidemiology presented data to the panel and a conference audience of 220. EVIDENCE: The literature was searched through Medline and an extensive bibliography of reference was provided to the panel and the conference audience. Experts prepared abstracts with relevant citations from the literature. Scientific evidence was given precedence over clinical anecdotal experience. ASSESSMENT PROCESS: The panel, answering predefined questions, developed their conclusions based on the scientific evidence presented in open forum and the scientific literature. The panel composed a draft statement that was read in its entirety and circulated to the experts and the audience for comment. Thereafter, the panel resolved conflicting recommendations and released a revised statement at the end of the conference. The panel finalized the revisions within a few weeks after conference.
CONCLUSIONS: BIA provides a reliable estimate of total body water under most conditions. It can be a useful technique for body composition analysis in healthy individuals and in those with a number of chronic conditions such as mild-to-moderate obesity, diabetes mellitus, and other medical conditions in which major disturbances of water distribution are not prominent. BIA values are affected by numerous variables including body position, hydration status, consumption of food and beverages, ambient air and skin temperature, recent physical activity, and conductance of the examining table. Reliable BIA requires standardization and control of these variables. A specific, well-defined procedure for performing routine BIA measurements is not practiced. Therefore, the panel recommends that a committee of appropriate scientific experts and instruments manufacturers be formed with the goal of setting instruments standards and procedural methods.

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Year:  1996        PMID: 8974099

Source DB:  PubMed          Journal:  Nutrition        ISSN: 0899-9007            Impact factor:   4.008


  19 in total

1.  Uncoupling protein 1 and 3 polymorphisms are associated with waist-to-hip ratio.

Authors:  Stefan-Martin Herrmann; Ji-Guang Wang; Jan A Staessen; Ercan Kertmen; Klaus Schmidt-Petersen; Walter Zidek; Martin Paul; Eva Brand
Journal:  J Mol Med (Berl)       Date:  2003-03-28       Impact factor: 4.599

2.  Prediction of fat-free mass by bioelectrical impedance analysis in older adults from developing countries: a cross-validation study using the deuterium dilution method.

Authors:  H Aleman-Mateo; E Rush; J Esparza-Romero; E Ferriolli; M Ramirez-Zea; A Bour; G Yuchingtat; R Ndour; N Mokhtar; M E Valencia; D A Schoeller
Journal:  J Nutr Health Aging       Date:  2010-06       Impact factor: 4.075

3.  Body composition, dietary intake, and energy expenditure after laparoscopic Roux-en-Y gastric bypass and laparoscopic vertical banded gastroplasty: a randomized clinical trial.

Authors:  Torsten Olbers; Sofia Björkman; Ak Lindroos; Almantas Maleckas; Lars Lönn; Lars Sjöström; Hans Lönroth
Journal:  Ann Surg       Date:  2006-11       Impact factor: 12.969

4.  Estimation of maximal oxygen uptake by bioelectrical impedance analysis.

Authors:  Alexander Stahn; Elmarie Terblanche; Sven Grunert; Günther Strobel
Journal:  Eur J Appl Physiol       Date:  2005-11-01       Impact factor: 3.078

5.  Lipid profiles and trans fatty acids in serum phospholipids of semi-nomadic Fulani in northern Nigeria.

Authors:  Robert H Glew; Lu-Te Chuang; Tammy Berry; Henry Okolie; Michael J Crossey; Dorothy J VanderJagt
Journal:  J Health Popul Nutr       Date:  2010-04       Impact factor: 2.000

6.  Clinical trial of tailored activity and eating newsletters with older rural women.

Authors:  Susan Noble Walker; Carol H Pullen; Linda Boeckner; Patricia A Hageman; Melody Hertzog; Maureen K Oberdorfer; Matthew J Rutledge
Journal:  Nurs Res       Date:  2009 Mar-Apr       Impact factor: 2.381

7.  The neuromuscular impact of symptomatic SMN restoration in a mouse model of spinal muscular atrophy.

Authors:  W Arnold; Vicki L McGovern; Benjamin Sanchez; Jia Li; Kaitlyn M Corlett; Stephen J Kolb; Seward B Rutkove; Arthur H Burghes
Journal:  Neurobiol Dis       Date:  2015-12-28       Impact factor: 5.996

8.  A population-based nested case control study on recurrent pneumonias in children with severe generalized cerebral palsy: ethical considerations of the design and representativeness of the study sample.

Authors:  Rebekka Veugelers; Elsbeth A C Calis; Corine Penning; Arianne Verhagen; Roos Bernsen; Jan Bouquet; Marc A Benninga; Peter J F M Merkus; Hubertus G M Arets; Dick Tibboel; Heleen M Evenhuis
Journal:  BMC Pediatr       Date:  2005-07-19       Impact factor: 2.125

9.  Assessment of volume depletion in children with malaria.

Authors:  Timothy Planche; Myriam Onanga; Achim Schwenk; Arnaud Dzeing; Steffen Borrmann; Jean-François Faucher; Antony Wright; Les Bluck; Leigh Ward; Maryvonne Kombila; Peter G Kremsner; Sanjeev Krishna
Journal:  PLoS Med       Date:  2004-10-19       Impact factor: 11.069

10.  A pilot crossover study: effects of an intervention using an activity monitor with computerized game functions on physical activity and body composition.

Authors:  Masato Nishiwaki; Akinori Kuriyama; Yumi Ikegami; Nana Nakashima; Naoyuki Matsumoto
Journal:  J Physiol Anthropol       Date:  2014-12-02       Impact factor: 2.867

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