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Single prediction equation for bioelectrical impedance analysis in adults aged 20–94 years
Abstract
Existing equations for bioelectrical impedance analysis (BIA) are of limited use when subjects age or become overweight because these equations were developed in young, normal-weight subjects and are not valid in elderly or overweight people. The purpose of this study was to validate a single BIA equation in healthy white subjects aged 22--94 y with a body mass index between 17.0 and 33.8 kg/m(2). Healthy subjects (202 men and 141 women) aged 20--94 y were measured by two methods: fat-free mass (FFM) was measured by dual-energy x-ray absorptiometry (Hologic QDR-4500) and by a bioelectrical impedance analyzer (Xitron 4000B). Validity of BIA was assessed by double cross validation. Because correlations were high (r = 0.986--0.987) and prediction errors low, a single equation was developed using all subjects, as follows: FFM = -4.104 + (0.518 x height(2)/resistance) + (0.231 x weight) + (0.130 x reactance) + (4.229 x sex: men = 1, women = 0). FFM predicted with dual-energy x-ray absorptiometry was 54.0 +/- 10.7 kg. BIA-predicted FFM was 54.0 +/- 10.5 kg (r = 0.986, standard error of the estimate = 1.72 kg, technical error = 1.74 kg). In conclusion, the new Geneva BIA equation was valid for prediction of FFM in healthy adults aged 22--94 y with body mass indexes between 17.0 and 33.8 kg/m(2). Inclusion of reactance in the single prediction equation appeared to be essential for use of BIA equations in populations with large variations in age or body mass.
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“The best BIA equations developed for specific population groups have been properly validated [22-24].”
Citations
Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Multiple regression in behavioral research
Kerlinger, F. N., & Pedhazur, E. J. (1973) · Medical Entomology and Zoology · Cited by 4,919
Assessment of fat-free mass using bioelectrical impedance measurements of the human body
Lukaski, H., Johnson, P., Bolonchuk, W., & Lykken, G. (1985) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/41.4.810 · Cited by 1,896
Mazess, R., Barden, H. S., Bisek, J., & Hanson, J. (1990) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/51.6.1106 · Cited by 1,465
Validation of tetrapolar bioelectrical impedance method to assess human body composition
Lukaski, H. C., Bolonchuk, W. W., Hall, C. B., & Siders, W. A. (1986) · Journal of Applied Physiology · doi:10.1152/jappl.1986.60.4.1327 · Cited by 1,370
Lean body mass estimation by bioelectrical impedance analysis: a four-site cross-validation study
Segal, K., Van Loan, M., Fitzgerald, P., Hodgdon, A., & Van Itallie, T. (1988) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/47.1.7 · Cited by 881
Estimation of total body water by bioelectrical impedance analysis
Kushner, R., & Schoeller, D. (1986) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/44.3.417 · Cited by 772
Kyle, U., Genton, L., Hans, D., Karsegard, L., Slosman, D., & Pichard, C. (2001) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1601198 · Cited by 442
Self-citationFuller, N. J., Jebb, S. A., Laskey, M. A., Coward, W. A., & Elia, M. (1992) · Clinical Science · doi:10.1042/cs0820687 · Cited by 394
Is the Impedance index (ht2/R) significant in predicting total body water?
Kushner, R., Schoeller, D., Fjeld, C., & Danford, L. (1992) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/56.5.835 · Cited by 374
Research works printed but not linked: 4
- Deurenberg, 1991, Sex and age specific prediction formulas for estimating body composition from bioelectrical impedance, Int J Obes, 15, 17
- Blake, 1996, New generation dual x-ray absorptiometry scanners increase dose to patients and staff, J Bone Mineral Res, 11, S157
- Heitmann, 1990, Prediction of body water and fat in adult Danes from measurement of electrical impedance. A validation study, Int J Obes, 14, 789
- Kyle UG, Genton L, Karsegard L, et al. Cross-sectional changes in fat-free mass, skeletal muscle, body cell mass and fat mass between 18–94 yrs. Eur J Clin Nutr (in press)
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Davidson, L. E. (2007) · QSpace (Queen's University Library)
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“Another study also reported single prediction equation to estimate FFM for adult men and women aged 20 to 94 years of age (Kyle et al. 2001).”
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“%) was calculated using the Kyle equation [20].”
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Metadata
- Authors
- Kyle, U. G., Genton, L., Karsegard, L., Slosman, D. O., & Pichard, C.
- Affiliations
- University Hospital of Geneva (CH)
- Venue
- Nutrition
- Publisher
- Elsevier BV
- Published
- 2001-03
- Volume
- 17
- Issue
- 3
- Pages
- 248-253
- ISSN
- 0899-9007 (ISSN-L)
- OpenAlex
- W2041793073
- Cited by
- 575
- References
- 42
- Citations by year
- 2026: 13 · 2025: 19 · 2024: 26 · 2023: 24 · 2022: 28 · 2021: 39 · 2020: 27 · 2019: 31 · 2018: 34 · 2017: 35 · 2016: 32 · 2015: 35 · 2014: 35 · 2013: 26 · 2012: 33
- FWCI
- 7.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion)
- Funders
- Hôpitaux Universitaires de Genève
- Topics
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
- Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
- Keywords
- bioelectrical impedance analysis, fat-free mass, prediction equations, dual-energy X-ray absorptiometry, reactance, resistance, body mass index, older adults, overweight, validation, healthy adults
- MeSH terms
- Adult, Aged, Aged, 80 and over, Aging, Body Composition, Female, Humans, Male, Middle Aged, Reference Values, Regression Analysis, Reproducibility of Results, Absorptiometry, Photon, Body Mass Index, Electric Impedance
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