Evidence map›Paper›PMID 42397485›Full record

ReviewReviews in endocrine & metabolic disorders2026

What is measured and what is estimated in body composition? A clarification framework for terminology and interpretation.

Francesco Campa, Henry C Lukaski, Tatiana Moro, Grant M Tinsley, Antonio Paoli, Giuseppe Coratella

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In one paragraph

Review in Reviews in endocrine & metabolic disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Francesco CampaDepartment of Biomedical Sciences, University of Padua, Padua, Italy. Francesco.campa@unipd.it.ORCID http://orcid.org/0000-0002-3028-7802
Henry C LukaskiDepartment of Kinesiology and Public Health Education, University of North Dakota, Grand Forks, USA.ORCID http://orcid.org/0000-0002-5418-5851
Tatiana MoroDepartment of Biomedical Sciences, University of Padua, Padua, Italy.ORCID http://orcid.org/0000-0002-1404-1511
Grant M TinsleyEnergy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, USA.ORCID http://orcid.org/0000-0002-0230-6586
Antonio PaoliDepartment of Biomedical Sciences, University of Padua, Padua, Italy.ORCID http://orcid.org/0000-0003-0474-4229
Giuseppe CoratellaDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.ORCID http://orcid.org/0000-0001-7523-9102

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body composition assessment has traditionally focused on estimating body mass components and the estimation processes required to obtain them in vivo. Within this context, the five-level model and the methodological taxonomy proposed by Wang and colleagues provided a rigorous conceptual framework that has strongly shaped the field. However, contemporary research and practice reveal persistent ambiguity in the use of terms such as direct, indirect, and doubly indirect. This ambiguity has become increasingly evident as methods such as anthropometry and bioelectrical impedance analysis are widely used not only to estimate body mass components, but also to obtain whole-body variables that are directly measured and interpreted as clinically, physiologically, or performance-relevant descriptors. Confusion often arises when directly measured outputs (e.g., skinfolds, girths, phase angle) are not clearly distinguished from model-derived estimates of body composition (e.g., fat mass, fat-free mass). Accordingly, we propose a clarification framework for in vivo body composition assessment that distinguishes: (1) directly measured whole-body variables, (2) model-derived estimates of body composition, and (3) hybrid assessment pathways combining measured and inferred outputs. In this framework, classification depends on the specific variable of interest and the estimation process linking measurement to output, rather than on assigning a fixed label to the instrument itself. The term direct refers only to an output that is measured rather than model-derived, and does not imply direct assessment of body components, greater validity, or superior methodological accuracy. The proposed framework provides a practical conceptual tool for distinguishing measured from estimated body composition outputs, thereby improving methodological transparency, interpretation, and reporting consistency across research and clinical practice.

Indexed as

AnthropometryBody CompositionTerminology as TopicElectric ImpedanceHumansAnthropometryBioelectrical impedance analysisBody composition assessmentMethodologyNutritional assessment

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.