Cited by 153Body Composition Measurement TechniquesObesity, Physical Activity, DietNutrition and Health in Aging

Comparison of Methods to Assess Body Composition Changes during a Period of Weight Loss

Open access
Frisard, Madlyn I., Greenway, Frank L., DeLany, James P.·2005·Obesity Research

Abstract

Objective: To assess the accuracy of body composition measurements by air displacement plethysmography and bioelectrical impedance analysis (BIA) compared with DXA during weight loss. Research Methods and Procedures: Fifty‐six healthy but overweight participants, 34 women and 22 men (age, 52 ± 8.6 years; weight, 92.2 ± 11.6 kg; BMI, 33.3 ± 2.9 kg/m 2) were studied in an outpatient setting before and after 6 months of weight loss (weight loss, 5.6 ± 5.5 kg). Subjects were excluded if they had initiated a new drug therapy within 30 days of randomization, were in a weight loss program, or took a weight loss drug within 90 days of randomization. Subjects were randomly assigned either to a self‐help program, consisting of two 20‐minute sessions with a nutritionist and provision of printed materials and other self‐help resources, or to attendance at meetings of a commercial program (Weight Watchers). Body composition was examined by each of the methods before and after weight loss. Results: BIA (42.4 ± 5.8%) underestimated percentage fat, whereas the BodPod (Siri = 51.7 ± 6.9%; Brozek = 48.5 ± 6.5%) overestimated percentage fat compared with DXA (46.1 ± 7.9%) before weight loss. Correlation coefficients for detecting changes in body composition between DXA and the other methods were relatively high, with Brozek Δfat mass (FM; r2 = 0.63), Siri FM (r2 = 0.65), tetrapolar BIA percentage fat (r2 = 0.57), and Tanita FM (r2 = 0.61) being the highest. Discussion: In conclusion, all of the methods were relatively accurate for assessing body composition compared with DXA, although there were biases. Furthermore, each of the methods was sensitive enough to detect changes with weight loss.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/oby.2005.97

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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 the authors' laboratory, DXA coefficients of variation were 0.25% for weight, 1.0% for lean mass, 1.6% for fat mass, and 1.5% for percentage fat.

    “Data from our laboratory show that the coefficient of variation for weight was 0.25%, lean mass was 1.0%, 1.6% for fat mass, and 1.5% for percentage fat (18).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Vescovi JD, Hildebrandt L, Miller W, Hammer R, Spiller A. Evaluation of the BOD POD for estimating percent fat in female college athletes. J Strength Cond Res. 2002;16:599 - 605.

Cited by

Sorted by citations

Authors
Frisard, M. I., Greenway, F. L., & DeLany, J. P.
Affiliations
Pennington Biomedical Research Center (US)
Corresponding author
DeLany, James P.
Venue
Obesity Research
Publisher
Wiley
Published
2005-05
Volume
13
Issue
5
Pages
845-854
ISSN
  • 1071-7323 (ISSN-L)
  • 1550-8528
OpenAlex
W1966128435
Cited by
153
References
48
Citations by year
2026: 1 · 2025: 4 · 2024: 2 · 2023: 5 · 2022: 10 · 2021: 9 · 2020: 5 · 2019: 6 · 2018: 10 · 2017: 10 · 2016: 8 · 2015: 5 · 2014: 11 · 2013: 13 · 2012: 6
FWCI
5.39
Type
journal article
Language
en
Open access
Locations
  • Obesity Research (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
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
Keywords
body composition, weight loss, air displacement plethysmography, bioelectrical impedance analysis, dual-energy X-ray absorptiometry, method accuracy, Weight Watchers, overweight adults
MeSH terms
Adolescent, Adult, Body Composition, False Negative Reactions, False Positive Reactions, Female, Humans, Male, Middle Aged, Plethysmography, Regression Analysis, Sensitivity and Specificity, Weight Loss, Absorptiometry, Photon, Body Mass Index, Electric Impedance

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