Evidence map›Paper›PMID 40195526›Full record

ArticleEuropean journal of clinical nutrition2025

Comparing digital anthropometrics from mobile applications to reference methods: a scoping review.

Irismar Gonçalves Almeida da Encarnação, Matheus Santos Cerqueira, Paulo Henrique Ribeiro Fernandes Almeida, Cláudia Eliza Patrocínio de Oliveira, Analiza Mónica Lopes de Almeida Silva, Diego Augusto Santos Silva, Steven B Heymsfield, Osvaldo Costa Moreira

Abstract readComparative StudyScoping Review
PubMed Publisher
In one paragraph

Article in European journal of clinical nutrition, 2025. 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

8 authors.

Irismar Gonçalves Almeida da EncarnaçãoDepartment of Physical Education, Center for Biological and Health Sciences, Federal University of Viçosa, Viçosa, Brazil. irismar.encarnacao@ufv.br.ORCID http://orcid.org/0000-0001-5712-8353
Matheus Santos CerqueiraAcademic Department of Education, Federal Institute Southeast of Minas Gerais, Campus Rio Pomba, Brazil.ORCID http://orcid.org/0000-0001-6723-6083
Paulo Henrique Ribeiro Fernandes AlmeidaIndependent Researcher, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-9369-0690
Cláudia Eliza Patrocínio de OliveiraDepartment of Physical Education, Center for Biological and Health Sciences, Federal University of Viçosa, Viçosa, Brazil.ORCID http://orcid.org/0000-0001-9417-3516
Analiza Mónica Lopes de Almeida SilvaExercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal.ORCID http://orcid.org/0000-0002-8984-8600
Diego Augusto Santos SilvaGraduate Program in Physical Education, Federal University of Santa Catarina, Florianópolis, Brazil.ORCID http://orcid.org/0000-0002-0489-7906
Steven B HeymsfieldPennington Biomedical Research Center, Louisiana State University System, Baton Rouge, USA.ORCID http://orcid.org/0000-0003-1127-9425
Osvaldo Costa MoreiraDepartment of Physical Education, Center for Biological and Health Sciences, Federal University of Viçosa, Viçosa, Brazil.ORCID http://orcid.org/0000-0002-1386-8883

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This scoping review aimed to assess the repeatability and accuracy of Digital Anthropometry by Mobile Application (DAM) compared to reference methods for estimating anthropometric dimensions, body volume (BV), and body composition. A comprehensive search was conducted on December 8th, 2024, without restrictions on language, time, sex, ethnicity, age, or health condition. We found 14 different DAMs across the 23 included studies. Reference methods for each estimated variable were: (a) Body circumferences-tape measure; (b) body mass-calibrated scale; (c) body length-stadiometer; (d) BV-Underwater Weighing; (e) percentage of body fat-Dual energy x-ray absorptiometry (DXA), BOD POD, 3, 4, and 5-compartment models; (f) fat mass and fat-free mass-DXA, 3 and 4-compartment models; (g) appendicular Lean Mass-DXA. DAMs demonstrated high repeatability and accuracy at a mean level in most studies. However, their accuracy is lower at individual-level analysis and for tracking changes over time. Estimated BV showed high accuracy compared to UWW (SEE = 0.68; MD = 0.04 to 0.1; LoA = 2.86), including the BV-derived DAMs integrated into alternative multi-compartment models compared to reference methods. As relatively new methods, DAMs offer numerous possibilities and areas for exploration in future studies. However, caution is advised due to their potentially low or unknown accuracy at the individual level.

Indexed as

AnthropometryMobile ApplicationsAbsorptiometry, PhotonBody CompositionHumansReproducibility of Results

Identifiers

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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 OpenQuestion graph.