Literature DB >> 27568020

Measurement of lean body mass using bioelectrical impedance analysis: a consideration of the pros and cons.

Giuseppe Sergi1, Marina De Rui2,3, Brendon Stubbs4,5, Nicola Veronese1, Enzo Manzato1,6.   

Abstract

The assessment of body composition has important applications in the evaluation of nutritional status and estimating potential health risks. Bioelectrical impedance analysis (BIA) is a valid method for the assessment of body composition. BIA is an alternative to more invasive and expensive methods like dual-energy X-ray absorptiometry, computerized tomography, and magnetic resonance imaging. Bioelectrical impedance analysis is an easy-to-use and low-cost method for the estimation of fat-free mass (FFM) in physiological and pathological conditions. The reliability of BIA measurements is influenced by various factors related to the instrument itself, including electrodes, operator, subject, and environment. BIA assumptions beyond its use for body composition are the human body is empirically composed of cylinders, FFM contains virtually all the water and conducting electrolytes in the body, and its hydration is constant. FFM can be predicted by BIA through equations developed using reference methods. Several BIA prediction equations exist for the estimation of FFM, skeletal muscle mass (SMM), or appendicular SMM. The BIA prediction models differ according to the characteristics of the sample in which they have been derived and validated in addition to the parameters included in the multiple regression analysis. In choosing BIA equations, it is important to consider the characteristics of the sample in which it has been developed and validated, since, for example, age- and ethnicity-related differences could sensitively affect BIA estimates.

Entities:  

Keywords:  Bioelectrical impedance analysis; Body composition; Elderly; Prediction equations

Mesh:

Year:  2016        PMID: 27568020     DOI: 10.1007/s40520-016-0622-6

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


  56 in total

1.  Comparison of bioimpedance body composition in young adults in the Russian Children's Study.

Authors:  Sergey Rudnev; Jane S Burns; Paige L Williams; Mary M Lee; Susan A Korrick; Tatiana Denisova; Yuri Dikov; Gennady Kozupitsa; Russ Hauser; Oleg Sergeyev
Journal:  Clin Nutr ESPEN       Date:  2019-11-16

2.  Association Between Self-Reported Sleep Duration and Body Composition in Middle-Aged and Older Adults.

Authors:  Xiao Tan; Olga E Titova; Eva Lindberg; Sölve Elmståhl; Lars Lind; Helgi B Schiöth; Christian Benedict
Journal:  J Clin Sleep Med       Date:  2019-03-15       Impact factor: 4.062

3.  Use of Compositional Data Analysis to Show Estimated Changes in Cardiometabolic Health by Reallocating Time to Light-Intensity Physical Activity in Older Adults.

Authors:  Cormac Powell; Leonard D Browne; Brian P Carson; Kieran P Dowd; Ivan J Perry; Patricia M Kearney; Janas M Harrington; Alan E Donnelly
Journal:  Sports Med       Date:  2020-01       Impact factor: 11.136

4.  Investigation of Body Awareness and Affecting Factors in Patients with Bariatric Surgery.

Authors:  Ümit Varlı; İlknur Naz; Hüsnü Yılmaz
Journal:  Obes Surg       Date:  2022-01-05       Impact factor: 4.129

5.  Urinary creatinine excretion is an indicator of physical performance and function.

Authors:  Milou M Oosterwijk; Niala den Braber; Stephan J L Bakker; Gozewijn D Laverman
Journal:  J Cachexia Sarcopenia Muscle       Date:  2022-02-27       Impact factor: 12.910

6.  Evaluation of myostatin as a possible regulator and marker of skeletal muscle-cortical bone interaction in adults.

Authors:  Nagato Kuriyama; Etsuko Ozaki; Teruhide Koyama; Daisuke Matsui; Isao Watanabe; Satomi Tomida; Reo Nagamitsu; Kanae Hashiguchi; Masaaki Inaba; Shinsuke Yamada; Motoyuki Horii; Shigeto Mizuno; Yutaro Yoneda; Masao Kurokawa; Daiki Kobayashi; Shinpei Fukuda; Koichi Iwasa; Yoshiyuki Watanabe; Ritei Uehara
Journal:  J Bone Miner Metab       Date:  2020-10-12       Impact factor: 2.626

7.  Identifying Sarcopenia in Female Long-Term Care Residents: A Comparison of Current Guidelines.

Authors:  Mary P Kotlarczyk; Subashan Perera; David A Nace; Neil M Resnick; Susan L Greenspan
Journal:  J Am Geriatr Soc       Date:  2017-11-20       Impact factor: 5.562

8.  Adult individuals with congenital, untreated, severe isolated growth hormone deficiency have satisfactory muscular function.

Authors:  Alana L Andrade-Guimarães; Manuel H Aguiar-Oliveira; Roberto Salvatori; Vitor O Carvalho; Fabiano Alvim-Pereira; Carlos R Araújo Daniel; Giulliani A Moreira Brasileiro; Ananda A Santana-Ribeiro; Hugo A Santos-Carvalho; Carla R P Oliveira; Edgar R Vieira; Miburge B Gois-Junior
Journal:  Endocrine       Date:  2018-09-24       Impact factor: 3.633

9.  Segmental Phase Angle and Body Composition Fluctuation of Elite Ski Jumpers between Summer and Winter FIS Competitions.

Authors:  Agnieszka Ostachowska-Gąsior; Monika Piwowar; Joanna Zając
Journal:  Int J Environ Res Public Health       Date:  2021-04-29       Impact factor: 3.390

10.  Urine creatinine concentration and clinical outcomes in older adults: The Cardiovascular Health Study.

Authors:  Joshua I Barzilay; Petra Buzkova; Michael G Shlipak; Mary F Lyles; Nisha Bansal; Pranav S Garimella; Joachim H Ix; Jorge R Kizer; Elsa S Strotmeyer; Luc Djousse; Mary L Biggs; David Siscovick; Kenneth J Mukamal
Journal:  J Am Geriatr Soc       Date:  2021-08-07       Impact factor: 5.562

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