Cited by 18Body Composition Measurement TechniquesObesity, Physical Activity, DietElectrical and Bioimpedance Tomography

Predictive accuracy of bioimpedance in estimating fat-free mass of African-American women

AINSWORTH, BARBARA E., STOLARCZYK, LISA M., HEYWARD, VIVIAN H., BERRY, CAROLYNN B., IRWIN, MELINDA L., MUSSULMAN, LAURA M.·1997·Medicine & Science in Sports & Exercise

Abstract

The purpose of this study was to identify the BIA (bioimpedance analysis) equation that yields the best estimate of body composition for 122 premenopausal African-American women (18-40 yr). Total body density (Db) was determined by hydrodensitometry at residual lung volume and converted to %BFHD using the Siri (31) formula, %BFHD was used to calculate reference fat-free mass (FFM). Resistance and reactance were measured using a Valhalla bioimpedance analyzer. The predictive accuracy of generalized, age-gender, race-specific, fatness-specific, and the Valhalla manufacturer's BIA equations was compared. There were significant correlations between FFMHD and FFMBIA for all BIA equations (r = 0.85 to 0.92). Except for the modified Segal fatness-specific equations, the prediction errors (SEE and E) exceeded 2.8 kg. For individuals, the %BF derived from FFMBIA predicted by the modified Segal equations was within +/- 3.5% BF for 69% of the subjects. This percentage was less (34-53%) for other equations. These results suggest that the predictive accuracy of BIA for estimating body composition of African-American women is improved when fatness-specific equations are used. We recommend using the modified Segal fatness-specific equations to assess FFM and %BF of premenopausal African-American women.

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Crossref · 10.1097/00005768-199706000-00008

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  • Sun, Ainsworth, and Wang equations included individuals from all weight ranges; Jakicic's sample was exclusively obese; Hortobagyi included college athletes.

    “In addition, the Sun (7), Ainsworth (8), and Wang (9) equations included individuals from all weight ranges, whereas Jakicic's (4) sample was exclusively obese, and Hortobagyi (10) included college athletes.”

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Research works printed but not linked: 7

  1. Cohn, 1977, Am J Physiol, 232, E419
  2. Cote, 1993, Med Sci Sports Exerc, 25, 290
  3. Deurenberg, 1991, Int J Obesity, 15, 17
  4. Deurenberg, 1988, Eur J Clin Nutr, 42, 1017
  5. 1994, Vital Health Stat, 1, 32
  6. Oppliger, 1990, Med Sci Sports Exerc, 23, S73
  7. Ortiz, 1992, Am J Clin Nutr, 8, 13

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Authors
AINSWORTH, B. E., STOLARCZYK, L. M., HEYWARD, V. H., BERRY, C. B., IRWIN, M. L., & MUSSULMAN, L. M.
Affiliations
University of North Carolina at Chapel Hill (US)
Venue
Medicine & Science in Sports & Exercise
Published
1997-06
Volume
29
Issue
6
Pages
781-787
ISSN
0195-9131 (ISSN-L)
OpenAlex
W2061460889
Cited by
18
References
26
Citations by year
2021: 6
FWCI
1.35
Type
journal article
Language
en
Open access
closed
Locations
  • Medicine & Science in Sports & Exercise (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
Keywords
bioelectrical impedance analysis, fat-free mass, body composition, African American women, premenopausal women, prediction accuracy, body fat percentage
MeSH terms
Adipose Tissue, Adolescent, Adult, Black or African American, Body Composition, Female, Humans

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