CoChat
Sign Up
Cited by 881Body Composition Measurement TechniquesElectrical and Bioimpedance TomographyNutrition and Health in Aging

Lean body mass estimation by bioelectrical impedance analysis: a four-site cross-validation study

Segal, KR, Van Loan, M, Fitzgerald, PI, Hodgdon, A, Van Itallie, TB·1988·The American Journal of Clinical Nutrition
DOI 10.1093/ajcn/47.1.7
Open this paper in CoChat — free account

Abstract

This study validated further the bioelectrical impedance analysis (BIA) method for body composition estimation. At four laboratories densitometrically-determined lean body mass (LBMd) was compared with BIA in 1567 adults (1069 men, 498 women) aged 17-62 y and with 3-56% body fat. Equations for predicting LBMd from resistance measured by BIA, height, weight, and age were obtained for the men and women. Application of each equation to the data from the other labs yielded small reductions in R values and small increases in SEEs. Some regression coefficients differed among labs but these differences were eliminated after adjustment for differences among labs in the subjects' body fatness. All data were pooled to derive fatness-specific equations for predicting LBMd: the resulting R values ranged from 0.907 to 0.952 with SEEs of 1.97-3.03 kg. These results confirm the validity of BIA and indicate that the precision of predicting LBM from impedance can be enhanced by sex- and fatness-specific equations.

Integrity signals

Registry

Crossref · 10.1093/ajcn/47.1.7

Cites

11 of 11 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?

  • In epidemiological studies, both low and high BMI have been associated with increased morbidity.

    “In epidemiological studies, both low and high BMI have been associated with increased morbidity 6 -9”

    From Overweight and obesity in a Swiss city: 10-year trends (2007) · cites this paper as [6]

  • Allison et al. evaluated a hypothetical model in which death increased linearly with body fat and decreased linearly with fat-free mass.

    “Allison et al. 6 evaluated a hypothetical model in which death increased linearly with BF and decreased linearly with FFM.”

    From Overweight and obesity in a Swiss city: 10-year trends (2007) · cites this paper as [6]

  • Numerous studies have shown a J- or U-shaped relationship between BMI and mortality and a U-shaped relationship between BMI and health care expenditure.

    “Numerous studies have shown a J-or U-shaped relationship between BMI and mortality 6,37,38 and a Ushaped relationship between BMI and expenditure on health care 39 .”

    From Overweight and obesity in a Swiss city: 10-year trends (2007) · cites this paper as [6]

  • 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 [3]

  • 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 [3]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Segal, K., Van Loan, M., Fitzgerald, P., Hodgdon, A., & Van Itallie, T.
Affiliations
Icahn School of Medicine at Mount Sinai (US)
Venue
The American Journal of Clinical Nutrition
Publisher
Elsevier BV
Published
1988-01
Volume
47
Issue
1
Pages
7-12
ISSN
0002-9165 (ISSN-L)
DOI
10.1093/ajcn/47.1.7
OpenAlex
W2222587476
Cited by
881
References
11
Citations by year
2026: 7 · 2025: 11 · 2024: 12 · 2023: 10 · 2022: 17 · 2021: 16 · 2020: 20 · 2019: 17 · 2018: 18 · 2017: 9 · 2016: 20 · 2015: 27 · 2014: 20 · 2013: 18 · 2012: 18
FWCI
14.01
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • American Journal of Clinical Nutrition (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institutes of Health (5p30am026687-05)
Topics
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
Keywords
lean body mass, bioelectrical impedance analysis, body composition, cross-validation, prediction equations, sex differences, fat mass, resistance measurement, densitometry
MeSH terms
Adolescent, Adult, Aging, Anthropometry, Body Composition, Body Weight, Densitometry, Electric Conductivity, Female, Humans, Male, Middle Aged, Obesity, Prognosis, Regression Analysis, Sex Characteristics

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