CoChat
Sign Up
Cited by 28Body Composition Measurement TechniquesElectrical and Bioimpedance TomographyIndigenous Health and Education

Bio‐impedance analysis for estimation of total body potassium, total body water, and fat‐free mass in white, black, and Asian adults

Wang, Jack, Thornton, John C., Burastero, Santiago, Heymsfield, Steven B., Pierson, Richard N.·1995·American Journal of Human Biology
DOI 10.1002/ajhb.1310070105
Open this paper in CoChat — free account

Abstract

Bio‐impedance analysis (BIA) measurements have been used to predict components of body composition. Their validation is required for populations varying in race, sex, and age. In 371 Whites, 182 Blacks and 225 Asians, single‐frequency BIA at 50 kHz (RJL‐100) resistance and reactance measurements were correlated with same‐day measurements of total body water (TBW) by THO dilution, total body potassium (TBK) by whole body 40 K counting, and fat‐free mass (FFM) by dual‐photon absorptiometry. BIA correlation coefficients with TBW, TBK, FFM, and fat varied by sex and race for all measured body composition components. The highest correlation was for FFM, and the lowest was for fat mass. Prediction equations were further improved by including age, stature, and weight for each of the study cohorts. The SEE for predictions were in the ranges of 5–6, 6–8, and 7–10% of measured FFM, TBW, and TBK, respectively. BIA was effective in predicting body composition when subjects are specified by age, sex, stature, weight, and race for subjects from 18 to 94 years of age. © 1995 Wiley‐Liss, Inc.

Integrity signals

Registry

Crossref · 10.1002/ajhb.1310070105

Cites

40 of 40 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Differences in body properties related to obesity and ethnicity may prevent a single BIA equation from being best for all.

    “mounting evidence suggests that the differences in the properties of the body, such as those related to obesity (3) and ethnicity (6,9,33), may prevent this from becoming a reality.”

    From Comparison of Body Composition Methods in Obese African‐American Women (2006) · cites this paper as [9]

  • Neither ethnicity-specific nor obese-specific equations provided better estimates than two generalized equations.

    “Our findings show that neither ethnicity-specific [Jakicic (4) and Wang (9)] nor obese-specific [Segal (3) and Jakicic (4)] equations provided better estimates than two generalized equations (21,22).”

    From Comparison of Body Composition Methods in Obese African‐American Women (2006) · cites this paper as [9]

  • The Kushner and Lukaski equations estimated %BF more accurately than an obese-specific equation and two equations developed from African-American samples.

    “These equations more accurately estimated %BF than an equation that was developed specifically for use with obese participants (3) and two others (4,9) that were developed from African-American samples.”

    From Comparison of Body Composition Methods in Obese African‐American Women (2006) · cites this paper as [9]

  • 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.”

    From Comparison of Body Composition Methods in Obese African‐American Women (2006) · cites this paper as [9]

  • The study tested its equations against earlier published BIA equations whose development samples Dioum et al. assumed included at least some black participants.

    “Performance of developed equations for the prediction of FFM was also tested using all available data (n=362) against previously published equations derived using participant samples which were assumed by Dioum et al. to consist of at least some ethnically black participants (5, 24–32).”

    From Prediction of fat-free mass using bioelectrical impedance analysis in young adults from five populations of African origin (2013) · cites this paper as [27]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Wang, J., Thornton, J. C., Burastero, S., Heymsfield, S. B., & Pierson, R. N.
Affiliations
St. Luke's-Roosevelt Hospital Center (US)
Corresponding author
Wang, Jack
ORCID
Venue
American Journal of Human Biology
Publisher
Wiley
Published
1995-01
Volume
7
Issue
1
Pages
33-40
ISSN
  • 1042-0533 (ISSN-L)
  • 1520-6300
DOI
10.1002/ajhb.1310070105
OpenAlex
W2073062713
Cited by
28
References
40
Citations by year
2020: 1 · 2019: 1 · 2014: 1 · 2013: 1
FWCI
1.52
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor, 3799 d)
Locations
  • American Journal of Human Biology (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institutes of Health
Topics
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
  • Health Sciences › Health Professions › General Health Professions › Indigenous Health and Education
Keywords
bioelectrical impedance analysis, total body water, total body potassium, fat-free mass, body composition, racial differences, sex differences, prediction equations, dilution method, dual photon absorptiometry, fat mass, adults

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 ›

Are you an author, or do you see a problem with this page? Request a review