Literature DB >> 16571850

Validity of hand-to-foot measurement of bioimpedance: standing compared with lying position.

Elaine C Rush1, Jennifer Crowley, Ismael F Freitas, Amy Luke.   

Abstract

OBJECTIVE: To assess the reliability of the standing measurement of hand-to-foot bioimpedance compared with measurements made in the lying position. RESEARCH METHODS AND PROCEDURES: In 205 volunteers 6 to 89 years of age, 111 males and 94 females from six ethnic groups, effects of posture, time, and age on hand-to-foot resistance were studied over a range of body size. The effect of time in a position on resistance was also recorded in a small subset (n = 10), and repeat measurements over 3 days at the same time of the day were recorded in another subset (n = 12).
RESULTS: Lying impedance was consistently higher than standing, with the relationship (resistance lying/resistance standing) for the children (5 to 14 years) being 1.031, progressing to a ratio of 1.016 in those > 60 years. The time spent static in either position did change resistance measurements-a decrease of up to 9 Omega (mean 5 Omega, 1.0%) over 10 minutes of standing and an increase of up to 7 Omega (mean 3 Omega, 0.7%) with lying. DISCUSSION: In the field, measurements of hand-to-foot bioimpedance can be made in the standing position, and, with appropriate adjustment, previously validated recumbent equations can be used. Given that errors in the measurement of height and weight also affect the reliability of the derivation of body fat from bioelectrical conductance, the errors that may arise from a more practical standing measurement rather than lying are minimal.

Entities:  

Mesh:

Year:  2006        PMID: 16571850     DOI: 10.1038/oby.2006.32

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  15 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.  Bioelectrical Impedance Vector Analysis (BIVA) and Body Mass Changes in an Ultra-Endurance Triathlon Event.

Authors:  Jorge Castizo-Olier; Marta Carrasco-Marginet; Alex Roy; Diego Chaverri; Xavier Iglesias; Carla Pérez-Chirinos; Ferran Rodríguez; Alfredo Irurtia
Journal:  J Sports Sci Med       Date:  2018-11-20       Impact factor: 2.988

3.  Effects of procedure, upright equilibrium time, sex and BMI on the precision of body fluid measurements using bioelectrical impedance analysis.

Authors:  S Thurlow; G Taylor-Covill; P Sahota; B Oldroyd; K Hind
Journal:  Eur J Clin Nutr       Date:  2017-07-19       Impact factor: 4.016

4.  Predicting body composition using foot-to-foot bioelectrical impedance analysis in healthy Asian individuals.

Authors:  Chun-Shien Wu; Yu-Yawn Chen; Chih-Lin Chuang; Li-Ming Chiang; Gregory B Dwyer; Ying-Lin Hsu; Ai-Chun Huang; Chung-Liang Lai; Kuen-Chang Hsieh
Journal:  Nutr J       Date:  2015-05-19       Impact factor: 3.271

5.  Changing the obesogenic environment of severe mentally ill residential patients: ELIPS, a cluster randomised study design.

Authors:  Anne Looijmans; Frederike Jörg; Robert A Schoevers; Richard Bruggeman; Ronald P Stolk; Eva Corpeleijn
Journal:  BMC Psychiatry       Date:  2014-11-25       Impact factor: 3.630

6.  Relative abdominal adiposity is associated with chronic low back pain: a preliminary explorative study.

Authors:  Cristy Brooks; Jason C Siegler; Paul W M Marshall
Journal:  BMC Public Health       Date:  2016-08-02       Impact factor: 3.295

7.  Hand-to-Hand Model for Bioelectrical Impedance Analysis to Estimate Fat Free Mass in a Healthy Population.

Authors:  Hsueh-Kuan Lu; Li-Ming Chiang; Yu-Yawn Chen; Chih-Lin Chuang; Kuen-Tsann Chen; Gregory B Dwyer; Ying-Lin Hsu; Chun-Hao Chen; Kuen-Chang Hsieh
Journal:  Nutrients       Date:  2016-10-21       Impact factor: 5.717

8.  Cohort profile: Pacific Islands Families (PIF) growth study, Auckland, New Zealand.

Authors:  E Rush; M Oliver; L D Plank; S Taylor; L Iusitini; S Jalili-Moghaddam; F Savila; J Paterson; E Tautolo
Journal:  BMJ Open       Date:  2016-11-02       Impact factor: 2.692

9.  Bioelectrical impedance vector analysis (BIVA) for measuring the hydration status in young elite synchronized swimmers.

Authors:  Marta Carrasco-Marginet; Jorge Castizo-Olier; Lara Rodríguez-Zamora; Xavier Iglesias; Ferran A Rodríguez; Diego Chaverri; Daniel Brotons; Alfredo Irurtia
Journal:  PLoS One       Date:  2017-06-07       Impact factor: 3.240

10.  A Cross-Sectional Study on the Diet and Nutritional Status of Adolescent Girls in Zambézia Province, Mozambique (the ZANE Study): Design, Methods, and Population Characteristics.

Authors:  Liisa Korkalo; Riitta Freese; Lourdes Fidalgo; Kerry Selvester; Carina Ismael; Marja Mutanen
Journal:  JMIR Res Protoc       Date:  2014-03-05
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