Anthropometry, bioelectrical impedance and dual‐energy X‐ray absorptiometry in the assessment of body composition in elderly Finnish women
Open accessAbstract
Summary: In this study, the bioelectrical impedance analysis (BIA), skinfold thickness measurement (STM) and dual‐energy X‐ray absorptiometry (DXA), as a reference method, were compared with each other in the assessment of body composition in elderly (62–72‐year‐old) Finnish women (n=93). BIA had better agreement with DXA in the assessment of fat free mass (FFM, R2=0·70, Sres=2·1) and fat mass (FM, R2=0·93, Sres=2·3) than the STM (FFM, R2=0·62, Sres=2·4; FM, R2=0·89,Sres=2·8). There was quite a large variation in the estimates when different BIA prediction equations were used. The equation developed in this study, FFM (kg)=−128·06 + 1·85 × BMI−0·63 × weight + 1·07 × height − 0·03 × resistance +10·0 × waist–hip ratio, yielded a small and unbiased error (0·5 ± 1·6 kg), with a small residual standard deviation (R2=0·83, Sres=1·6). However, error associated with the estimate of FM was positively related to the degree of FM. BIA(Heitmann) equation yielded unbiased estimates of both FFM and FM (FFM, R2=0·77, Sres=1·8; FM, R2=0·95, Sres=1·9). Both the STM and BIA (manufacturer's equation) resulted in error which was statistically significant and positively correlated with FFM and FM. These results indicate that BIA prediction equations, chosen with care, can improve the performance of equations based upon anthropometric measurements alone in the assessment of body composition in elderly women.
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Three equations for elderly are for assessing FFM in females only.
“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 [97]
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- Authors
- Haapala, I., Hirvonen, A., Niskanen, L., Uusitupa, M., Kröger, H., Alhava, E., & Nissinen, A.
- Affiliations
- University of Eastern Finland (FI)
- Corresponding author
- Haapala, Irja
- Venue
- Clinical Physiology and Functional Imaging
- Publisher
- Wiley
- Published
- 2002-11
- Volume
- 22
- Issue
- 6
- Pages
- 383-391
- ISSN
- 1475-0961 (ISSN-L)
- 1475-097X
- OpenAlex
- W2136910460
- Cited by
- 46
- References
- 35
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 1 · 2021: 2 · 2020: 4 · 2019: 1 · 2017: 1 · 2016: 2 · 2015: 1 · 2014: 3 · 2013: 2 · 2012: 4
- FWCI
- 1.20
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Clinical Physiology and Functional Imaging (publishedVersion)
- PubMed (publishedVersion)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion)
- STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
- Funders
- Juho Vainion Säätiö
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
- Keywords
- body composition, bioelectrical impedance analysis, dual-energy X-ray absorptiometry, skinfold thickness, fat-free mass, fat mass, prediction equations, older women, anthropometry, measurement agreement
- MeSH terms
- Aged, Body Composition, Body Weight, Epidemiologic Methods, Female, Finland, Humans, Middle Aged, Predictive Value of Tests, Absorptiometry, Photon, Electric Impedance
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