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Why bioelectrical impedance analysis should be used for estimating adiposity.
Open accessAbstract
The whole-body bioelectrical impedance analysis (BIA) approach for estimating adiposity and body fat is based on empirical relations established by many investigators. Properly used, this noninvasive body-composition assessment approach can quickly, easily, and relatively inexpensively provide accurate and reliable estimates of fat-free mass (FFM) and total body water (TBW) in healthy populations. The estimated FFM or TBW values are used to calculate absolute and relative body fat amounts. When different investigators follow the same standard BIA procedures and use the same population and criterion method, similar prediction equations and relatively small prediction errors have been reported for measurement of FFM and TBW (SEE: 1.7-3.0 for FFM and 0.23-1.5 kg for TBW). The BIA approach is most appropriate for estimating adiposity of groups in epidemiologic and field studies but has limited accuracy for estimating body composition in individuals. When used as a simple index (stature2/ resistance), BIA is more sensitive and specific for grading average adiposity in groups than some other anthropometric indexes such as the body mass index. Prediction equations based on BIA have been validated and cross-validated in children, youths, adults, and the elderly, in primarily white populations and, to a limited extent, in Asian, black, and Native American populations.
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“The electrical properties of the human body may explain the use of BIA to estimate FFM by the resistance index.”
From Development and Cross-Validation of a Predictive Equation for Fat-Free Mass in Brazilian Adolescents by Bioelectrical Impedance (2022) · cites this paper as [48]
In the citing paper
“R of the conductor is expressed by R = ρL2/V, so V = ρL2/R, wherein ρ is the conductor resistivity, L is the length, and V is volume (48, 49).”
From Development and Cross-Validation of a Predictive Equation for Fat-Free Mass in Brazilian Adolescents by Bioelectrical Impedance (2022) · cites this paper as [48]
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KOYAMA, T., HASEGAWA, J., Takiguchi, A., Tachibana, K., Murata, M., Taniyama, S., & Kobayashi, S. (2018) · NIPPON SUISAN GAKKAISHI · doi:10.2331/suisan.17-00052 · Cited by 1
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Electrical Bioimpedance: Methods and Applications
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Metadata
- Authors
- Houtkooper, L., Lohman, T., Going, S., & Howell, W.
- Affiliations
- University of Arizona (US)
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 1996-09
- Volume
- 64
- Issue
- 3
- Pages
- 436S-448S
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W1883063305
- Cited by
- 361
- References
- 71
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 8 · 2023: 13 · 2022: 8 · 2021: 10 · 2020: 9 · 2019: 9 · 2018: 10 · 2017: 6 · 2016: 9 · 2015: 18 · 2014: 20 · 2013: 21 · 2012: 16
- FWCI
- 1.05
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- bioelectrical impedance analysis, adiposity, body composition, fat-free mass, total body water, prediction equations, body fat estimation, anthropometric index, body mass index, measurement error, cross-validation
- MeSH terms
- Adipose Tissue, Anthropometry, Body Composition, Electrophysiology, Evaluation Studies as Topic, Female, Forecasting, Humans, Male, Electric Impedance
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