Body composition in elderly people: effect of criterion estimates on predictive equations
Abstract
The purposes of this study were to determine whether there are significant differences between two- and four-compartment model estimates of body composition, whether these differences are associated with aqueous and mineral fractions of the fat-free mass (FFM); and whether the differences are retained in equations for predicting body composition from anthropometry and bioelectric resistance. Body composition was estimated in 98 men and women aged 65-94 y by using a four-compartment model based on hydrodensitometry, 3H2O dilution, and dual-photon absorptiometry. These estimates were significantly different from those obtained by using Siri's two-compartment model. The differences were associated significantly (P less than 0.0001) with variation in the aqueous fraction of FFM. Equations for predicting body composition from anthropometry and resistance, when calibrated against two-compartment model estimates, retained these systematic errors. Equations predicting body composition in elderly people should be calibrated against estimates from multicompartment models that consider variability in FFM composition.
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The body composition variables selected in the final model have been reported as the best predictors in BIA equations designed to estimate FFM.
“The body composition variables selected in the final model of this study have been reported as the best predictors in BIA equations designed to estimate FFM [25-27].”
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Self-citation
- Authors
- Baumgartner, R., Heymsfield, S., Lichtman, S., Wang, J., & Pierson, R.
- Affiliations
- Wright State University (US)
- St. Luke's-Roosevelt Hospital Center (US)
- Corresponding author
- Baumgartner, RN
- ORCID
- Wang, J
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 1991-06
- Volume
- 53
- Issue
- 6
- Pages
- 1345-1353
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2108892662
- Cited by
- 257
- References
- 30
- Citations by year
- 2025: 2 · 2024: 1 · 2023: 1 · 2022: 8 · 2021: 4 · 2020: 10 · 2019: 4 · 2018: 5 · 2017: 2 · 2016: 4 · 2015: 13 · 2014: 12 · 2013: 8 · 2012: 6
- FWCI
- 4.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01ag008510-04)
- National Institute on Aging (AG-08510)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK-37352, R01DK037352)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD12252, R01HD012252)
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutrition and Health Studies
- Keywords
- body composition, older adults, four-compartment model, two-compartment model, fat-free mass, aqueous fraction, hydrodensitometry, dual photon absorptiometry, bioimpedance, anthropometry, prediction equations, calibration
- MeSH terms
- Aged, Aged, 80 and over, Anthropometry, Body Composition, Densitometry, Electric Conductivity, Female, Humans, Male, Radioisotope Dilution Technique, Regression Analysis, Tritium, Absorptiometry, Photon
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