Development and Validation of a Method of Body Volume and Fat Mass Estimation Using Three-Dimensional Image Processing with a Mexican Sample.

Fabián Ituriel García Flores, Miguel Klünder Klünder, Miriam Teresa López Teros, Cristopher Antonio Muñoz Ibañez, Miguel Angel Padilla Castañeda

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Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Fabián Ituriel García FloresSchool of Medicine, National Autonomous University of Mexico (UNAM), Mexico City 04510, Mexico.ORCID 0009-0005-0945-453X

Miguel Klünder KlünderResearch Subdirectorate, Children's Hospital of Mexico Federico Gómez, Dr. Marquez St. 162, Colonia Doctores, Mexico City 06720, Mexico.ORCID 0000-0003-1914-8366

Miriam Teresa López TerosHealth Department, Santa Fe Campus, Iberoamerican University, Prol. Paseo de la Reforma, Zedec Sta Fé, Álvaro Obregón, Mexico City 01219, Mexico.

Cristopher Antonio Muñoz IbañezInstitute of Advanced Materials for Sustainable Manufacturing, Tecnológico de Monterrey, Canal de Miramontes, Tlalpan, Mexico City 14380, Mexico.

Miguel Angel Padilla CastañedaApplied Science and Technology Institute (ICAT), National Autonomous University of Mexico (UNAM), Mexico City 04510, Mexico.ORCID 0000-0002-1389-2074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body composition assessment using instruments such as dual X-ray densitometry (DXA) can be complex and their use is often limited to research. This cross-sectional study aimed to develop and validate a densitometric method for fat mass (FM) estimation using 3D cameras. Using two such cameras, stereographic images, and a mesh reconstruction algorithm, 3D models were obtained. The FM estimations were compared using DXA as a reference. In total, 28 adults, with a mean BMI of 24.5 (±3.7) kg/m

Indexed as

Body CompositionImaging, Three-DimensionalAbsorptiometry, PhotonBody Mass IndexCross-Sectional StudiesElectric ImpedanceReproducibility of Results3D camerasBod Podbody compositionbody volumeDXAfat massKinect

Identifiers

PMID38337669

DOI10.3390/nu16030384

PMCPMC10856961

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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.