The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Application of Bioelectrical Impedance Analysis to Elderly Populations
Abstract
BACKGROUND: Bioelectrical impedance analysis (BIA) can potentially be used to estimate body composition in large populations studied at multiple sites. However, it is not clear whether age-specific BIA equations are necessary for accurate application of BIA to research on elderly subjects. METHODS: We compared a published equation designed to predict fat-free mass (FFM) that had been derived in a young healthy population (mean age 27 y; mean BMI 23.9 kg/m2), with equations that we developed for the elderly by using data from 455 participants in the Framingham Heart Study (78 Y; 27.3 kg/m2), using dual-energy x-ray absorptiometry (DXA) as a reference technique. The BIA equations were then compared in an independent sample of 283 participants in the New Mexico Aging Process Study (76 y, 25.5 kg/m2), who also underwent BIA and DXA. RESULTS: When the young-population equation was applied to Framingham, it caused an overestimation of FFM in heavier subjects that was eliminated by use of the age-specific equation. However, when the two equations were tested in the New Mexico population, the published equation gave estimates of FFM that were closer to DXA than the Framingham equations did. CONCLUSIONS: The accuracy of a BIA equation depends on the body composition of the population of the population and the validation method rather than on age per se. Application of BIA to elderly populations requires uniform validation procedures in the actual study population, rather than reliance on age-specific equations.
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“Risk of bias was high in two [34, 35] and unclear in six [36–41] studies due to the low to moderate (R2 < 80%) coefficient of determination (R2) resulted from the multiple regression models.”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [36]
In the citing paper
“Out of the 26 available equations, 23 were developed with foot to hand technology [36, 38, 46, 49, 53, 63, 67, 89–93, 95, 97], while three equations were developed using segmental technology [68, 94].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [36]
In the citing paper
“Two different equations are available to determine FM in males and females [53], while there are two equations for assessing FFM in males [36, 49], three in females only [36, 49, 97], and five suitable for both sexes [89, 91].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [36]
In the citing paper
“Concerning foot-to-hand technology, three predictive equations were suitable for males [36, 49, 53] and four for females only [36, 49, 53, 97], while thirteen equations suitable for both sexes [38, 46, 63, 67, 89–93, 95].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [36]
In the citing paper
“The selected studies encompassed Central[36, 38, 49] and Southern American [46, 67], European [53, 63, 89–91, 93, 95, 97], and Asian [68, 94] male and female participants.”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [36]
In the citing paper
“Concerning foot-to-hand technology, three predictive equations were suitable for males [36, 49, 53] and four for females only [36, 49, 53, 97], while thirteen equations suitable for both sexes [38, 46, 63, 67, 89–93, 95].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [36]
In the citing paper
“Two different equations are available to determine FM in males and females [53], while there are two equations for assessing FFM in males [36, 49], three in females only [36, 49, 97], and five suitable for both sexes [89, 91].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [36]
Citations
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Sarcopenia: European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Baeyens, J. P., Bauer, J. M., Boirie, Y., Cederholm, T., Landi, F., Martin, F. C., Michel, J.-P., Rolland, Y., Schneider, S. M., et al. (2010) · Age and Ageing · doi:10.1093/ageing/afq034 · Cited by 11,601
“Prediction equations have been validated for multiethnic adults [36] and reference values established for adult white men and women, including older subjects [37–39].”
BackgroundBioelectrical impedance analysis?part I: review of principles and methods
KYLE, U. (2004) · Clinical Nutrition · doi:10.1016/j.clnu.2004.06.004 · Cited by 3,200
“Elderly Roubenoff et al.(81) 161 DXA Men: 9:1536þ 0:4273 Ht(2)=R50 þ0:1926 weightþ 0:0667 Xc 0.”
InfluentialBioelectrical impedance analysis—part II: utilization in clinical practice
Kyle, U. G., Bosaeus, I., De Lorenzo, A. D., Deurenberg, P., Elia, M., Manuel Gómez, J., Lilienthal Heitmann, B., Kent-Smith, L., Melchior, J.-C., Pirlich, M., et al. (2004) · Clinical Nutrition · doi:10.1016/j.clnu.2004.09.012 · Cited by 2,350
Skeletal Muscle Cutpoints Associated with Elevated Physical Disability Risk in Older Men and Women
Janssen, I. (2004) · American Journal of Epidemiology · doi:10.1093/aje/kwh058 · Cited by 1,190
Sarcopenic obesity: A new category of obesity in the elderly
Zamboni, M., Mazzali, G., Fantin, F., Rossi, A., & Di Francesco, V. (2008) · Nutrition, Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2007.10.002 · Cited by 953
Metadata
- Authors
- Roubenoff, R., Baumgartner, R. N., Harris, T. B., Dallal, G. E., Hannan, M. T., Economos, C. D., Stauber, P. M., Wilson, P. W. F., & Kiel, D. P.
- Affiliations
- Tufts University (US)
- University of New Mexico (US)
- National Institutes of Health (US)
- Boston University (US)
- Framingham Heart Study (US)
- Hebrew SeniorLife (US)
- ORCID
- Venue
- The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
- Publisher
- Oxford University Press (OUP)
- Published
- 1997-05-01
- Volume
- 52A
- Issue
- 3
- Pages
- M129-M136
- ISSN
- 1079-5006 (ISSN-L)
- 1758-535X
- OpenAlex
- W1986223929
- Cited by
- 258
- References
- 11
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 4 · 2023: 6 · 2022: 7 · 2021: 3 · 2020: 7 · 2019: 15 · 2018: 21 · 2017: 8 · 2016: 15 · 2015: 13 · 2014: 18 · 2013: 12 · 2012: 11
- FWCI
- 1.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journals of Gerontology Series A (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Agriculture
- National Institutes of Health
- National Institute on Aging (Y01 AG-20195)
- National Institute of Diabetes and Digestive and Kidney Diseases (F32DK008443)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (R01AR041398)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
- Keywords
- bioelectrical impedance analysis, body composition, fat-free mass, older adults, equation validation, dual-energy X-ray absorptiometry
- MeSH terms
- Aged, Aging, Body Composition, Evaluation Studies as Topic, Humans, Models, Biological, Absorptiometry, Photon, Electric Impedance
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