Evidence map›Paper›PMID 40386805›Full record

ArticleJournal of electrical bioimpedance2025

Comparative analysis of body composition results of university students obtained using two bioimpedance analyzers.

Ma Fidelina Peñaloza-Talavera, Clara H Gonzalez-Correa, William Narvaez-Solarte, Izabella C Gomes-Santana-Pereira, Jhony A Diaz-Vallejo

Abstract read
In one paragraph

Article in Journal of electrical bioimpedance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Ma Fidelina Peñaloza-TalaveraResearch Group in Nutrition, Metabolism, and Food Safety (NUTRIMESA), Universidad de Caldas, Colombia.
Clara H Gonzalez-CorreaResearch Group in Nutrition, Metabolism, and Food Safety (NUTRIMESA), Universidad de Caldas, Colombia.
William Narvaez-SolarteResearch Group in Nutrition, Metabolism, and Food Safety (NUTRIMESA), Universidad de Caldas, Colombia.
Izabella C Gomes-Santana-PereiraFaculty of Medicine USP, Bauru campus, Brazil.
Jhony A Diaz-VallejoDepartment of Basic Health Sciences, Universidad de Caldas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body composition is a key health indicator that distinguishes between fat mass and lean mass, factors associated with the risk of metabolic and cardiovascular diseases. Among measurement methods, bioelectrical impedance analysis (BIA) is widely used, with single- and multi-frequency devices showing differences in performance. Objective: To compare the accuracy of the OMRON Materials and Methods: An observational, cross-sectional, and comparative study was con-ducted with 40 students (20 men, 20 women) from the University of Caldas, without a history of metabolic diseases. Body fat, muscle mass, basal metabolic rate (BMR), and BMI were measured using both devices. Data normality was assessed, and means were compared using the student's t-test (p < 0.05). Results: In women, Biody showed significantly higher values for body fat, muscle mass, and basal metabolic rate compared to Omron (p < 0.05), with no differences in BMI. In men, only muscle mass and basal metabolic rate were significantly higher with Biody (p < 0.05), with no differences in body fat or BMI. Conclusions: Biody showed significantly higher values than Omron for muscle mass and basal metabolic rate. In women, the differences exceeded the acceptable 5% variability, suggesting that multifrequency devices may offer greater consistency. Although no gold standard was used, Omron could be a valid alternative in men.

Indexed as

anthropometryBioimpedancebody compositionelectrical impedance

Identifiers

PMID40386805
PMCPMC12085985

What OpenQuestion holds

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Registered trials

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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.