Body composition in Pima Indians: validation of bioelectrical resistance
Open accessAbstract
To assess the validity of bioelectrical resistance (BR) in an obese population, body composition was determined by both hydrostatic weighing and by BR in 156 Pima Indian volunteers representing a wide range of body weight (46.1-202.6 kg) and body composition (11-52% fat). A predictive equation was derived by use of data on height, BR, weight, age, and sex from 130 randomly selected volunteers and was applied to the remaining 26 volunteers. When compared with the manufacturer's software, the new equation increased correlations with hydrostatic weighing for predicting percent body fat and fat-free mass (FFM) from 0.70 to 0.92 and 0.79 to 0.97, respectively. The manufacturer's software underestimated FFM by 5.3 +/- 8.6 kg (P less than 0.05) when compared with FFM derived from hydrostatic weighing whereas the new equation improved the accuracy to -0.1 +/- 3.3 kg (NS). There were no significant effects of fluid intake (700 mL) or breakfast consumption on body composition as determined by BR. BR represents a simple and accurate way to assess body composition in Pima Indians with our newly derived equation.
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FFM and FM values obtained with equations developed for specific populations are more accurate and precise, as seen in the present study.
“FFM, and therefore FM, values obtained with equations developed for specific populations are more accurate and precise [8], as seen in the present study.”
Body composition assessment by bioelectrical impedance can be improved when the specific equations used are validated against reference methods and for a specific population.
“Body composition assessment by bioelectrical impedance can be improved when the specific equations used are validated against reference methods and for a specific population [7,8].”
Percent body fat was estimated from bioelectrical impedance using an equation developed for the U.S. Pima Indians.
“Percent body fat was estimated from bioelectrical impedance (BIA-103; RJL Systems) using an equation developed for the U.S. Pima Indians (12).”
From Effects of Traditional and Western Environments on Prevalence of Type 2 Diabetes in Pima Indians in Mexico and the U.S. (2006) · cites this paper as [12]
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Self-citation
- Authors
- Rising, R., Swinburn, B., Larson, K., & Ravussin, E.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Rising, R
- ORCID
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 1991-03
- Volume
- 53
- Issue
- 3
- Pages
- 594-598
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2113981180
- Cited by
- 77
- References
- 12
- Citations by year
- 2025: 2 · 2024: 1 · 2021: 1 · 2020: 2 · 2017: 1 · 2014: 1 · 2013: 2 · 2012: 1
- FWCI
- 1.88
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Figshare (submittedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Health Professions › General Health Professions › Indigenous Health and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- body composition, Pima Indians, obesity, fat-free mass, body fat percentage, hydrostatic weighing, prediction equations, validation
- MeSH terms
- Adipose Tissue, Adult, Arizona, Body Composition, Body Weight, Drinking, Eating, Electric Conductivity, Female
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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