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Cited by 58Body Composition Measurement TechniquesElectrical and Bioimpedance TomographyObesity, Physical Activity, Diet

The fatness-specific bioelectrical impedance analysis equations of Segal et al: are they generalizable and practical?

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Stolarczyk, LM, Heyward, VH, Van Loan, MD, Hicks, VL, Wilson, WL, Reano, LM·1997·The American Journal of Clinical Nutrition
DOI 10.1093/ajcn/66.1.8
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Abstract

The fatness-specific bioelectrical impedance analysis (BIA) equations of Segal et al (Am J Clin Ntr 1988;47: 7-14; Segal equations) have been shown to be generalizable across sex, ethnicity, age, and degrees of adiposity. However, these fatness-specific equations require an a priori determination of percentage body fat (%BF) by using a skinfold equation or densitometry to categorize subjects into obese or nonobese groups. These procedures negate the use of BIA as a fast and simple method. It was hypothesized that the average of the Segal nonobese and obese fatness-specific equations (BIA average method) could be used in lieu of the skinfold method for categorizing subjects who are not obviously lean or obese. In phase 1 these three methods were compared for a subsample of 59 women who were not obviously lean or obese. The %BF of 75% of these subjects was accurately estimated within 3.5%BF by using the BIA average method whereas only 71% and 46% were accurately estimated by fusing the densitometric and skinfold methods, respectively. In phase 2, the predictive accuracy of the Segal fatness-specific equations, used in combination with the BIA average method, was compared with other BIA equations published previously for 602 American Indian, Hispanic, and white women and men. The Segal fatness-specific equations yielded the smallest prediction error (SEE = 2.22 kg for women and 3.59 kg for men) and the %BF of 70% of the subjects was accurately estimated within 3.5%BF compared with 24-59% for other BIA equations. Therefore, we recommend using the Segal fatness-specific and average equations to assess body composition in heterogeneous populations.

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  • Other studies have reported body composition changes over time but are limited in length of follow-up or number of subjects.

    “Although other studies 15 -17 have reported body composition changes over time, these studies are limited in length of follow-up or number of subjects.”

    From Overweight and obesity in a Swiss city: 10-year trends (2007) · cites this paper as [16]

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Research works printed but not linked: 4

  1. Deurenberg, 1991, Sex and age specific population prediction formulas for estimating body composition from bioelectrical impedance: a cross-validation study., Int J Obes, 15, 17
  2. Wilmore, 1994, Comparison of bioelectrical impedance and near-infrared interactance for human body composition assessment in a population of self-perceived overweight adults., Int J Obes, 18, 375
  3. Albu, 1989, Reassessment of body composition models in morbidly obese., FASEB J, 3, A336
  4. Segal, 1987, Hydration and potassium content of lean body mass: effects of body fat, sex, and age., Am J Clin Nutr, 45, 865

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Related

Authors
Stolarczyk, L., Heyward, V., Van Loan, M., Hicks, V., Wilson, W., & Reano, L.
Affiliations
University of New Mexico (US)
Venue
The American Journal of Clinical Nutrition
Publisher
Elsevier BV
Published
1997-07
Volume
66
Issue
1
Pages
8-17
ISSN
0002-9165 (ISSN-L)
DOI
10.1093/ajcn/66.1.8
OpenAlex
W1937368116
Cited by
58
References
27
Citations by year
2021: 1 · 2020: 3 · 2019: 3 · 2017: 1 · 2015: 5 · 2014: 1 · 2013: 2 · 2012: 1
FWCI
2.51
Type
journal article
Language
en
Open access
Licence
Locations
  • American Journal of Clinical Nutrition (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Keywords
bioelectrical impedance analysis, body fat percentage, body composition assessment, obesity, skinfold thickness, densitometry, prediction accuracy, Native Americans
MeSH terms
Adipose Tissue, Adolescent, Adult, Aged, Anthropometry, Body Composition, Female, Hispanic or Latino, Humans

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