Journal article
Source notes
Clinical Nutrition ESPEN · 2026
Bibliographic details
Source record
Precision, least significant change and validity of body composition estimates from bioelectrical impedance analysis, 3D-optical scanning, and dual X-ray absorptiometry
Elsevier BV. 73. 102959.
- Study type
- Cross-sectional measurement validation study
- Review basis
- Abstract only
Can a body-fat device give consistent readings and still disagree with another method? In 44 healthy women aged 40 to 65, researchers compared repeated measurements from electrical-impedance analysis, three-dimensional scanning and DXA, an X-ray-based reference method. Most measures met the study's precision criteria, meaning repeated readings were reasonably close together. However, agreement between methods was poor at the individual level. For body-fat percentage, relative variation was about 1.2% with DXA and electrical impedance, compared with 2.8% for three-dimensional scanning. These are measures of repeatability, not percentage-point errors in body fat.
Precision and agreement answer different questions. A method can repeatedly give a similar answer without matching the reference method for a particular person. Small average differences between devices can also hide larger disagreements in individuals. This is why a result that looks reassuring when averaged across a group does not automatically justify substituting one device for another in personal assessment.
How Does This Show Up in Real Life?
A person might receive one body-fat estimate at a clinic and another from a different device elsewhere. The difference cannot automatically be interpreted as a change in their body. This study directly cautions against using results, reference ranges or clinical cutoffs from different devices as if they belonged to one shared measurement scale. It also helps explain why a neatly repeated number is not, by itself, proof of agreement with a reference test. The research concerns the specific methods tested in these women; it does not identify which device will give every reader the correct answer. The abstract does not provide enough detail about the individual discrepancies to calculate a personal correction between methods.
The sample was small and limited to healthy women in midlife. Duplicate measurements assess short-term precision, not how accurately a device tracks tissue change over months. Individual agreement was evaluated against DXA rather than direct measurement of every body tissue. Only the abstract was accessible, so the detailed testing conditions and device-specific comparisons could not be examined.
Why We Cite It
Alpekin can use this source when explaining the difference between a measurement's tidy presentation and its underlying validity. It offers a concrete way to discuss why a device's apparent consistency does not settle whether its output can support a particular comparison, threshold or claim of progress.
The lesson is to interpret a measurement in the context of the method that produced it. A number can be useful while still having limits. This evidence supports careful comparisons, with uncertainty kept visible whenever results come from different measurement systems.
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