Evidence map›Paper›PMID 41830027›Full record

ArticleNutrients2026

Assessment of the Predictive Potential of Pediatric Relative Fat Mass Compared to Alternative Measures of Obesity for Cardiorespiratory Fitness in Children: Longitudinal Associations During Two-Year Follow-Up.

Maria Zadarko-Domaradzka, Marek Sobolewski, Emilian Zadarko

Abstract readComparative Study
In one paragraph

Article in Nutrients, 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
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

3 authors.

Maria Zadarko-DomaradzkaFaculty of Physical Culture Sciences, Medical College, University of Rzeszów, 35-959 Rzeszów, Poland.ORCID 0000-0003-4330-3944
Marek SobolewskiDepartment of Quantitative Methods Rzeszów, University of Technology, 35-959 Rzeszów, Poland.ORCID 0000-0001-6564-8877
Emilian ZadarkoFaculty of Physical Culture Sciences, Medical College, University of Rzeszów, 35-959 Rzeszów, Poland.ORCID 0000-0001-7423-1790

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesRelative Fat Mass (RFM) is an anthropometric index estimating whole-body fat percentage. Though RFM is analyzed in scientific articles in various contexts, the research on the association between RFM and cardiorespiratory fitness (CRF) level is extremely limited. The aim of this study was to investigate the prognostic value of the relative fat mass pediatric index (RFMp) in predicting CRF results over a two-year period among school-age children, in comparison with alternative indices.

methodsBased on data comprising student measurements collected previously, in the years 2017-2019, a multiple regression analysis was conducted. Predictive models for CRF were constructed over a two-year period, separately for each of the eight indicators associated with obesity assessment. The models were prepared for boys and for girls separately.

resultsover 40% of girls and boys have a BMI above the norm. In the case of both girls and boys, RFMp turned out to be the best CRF predictor over a two-year period. It proved to be better in terms of its predictive power than body mass index (BMI), body fat percentage (%BF), waist circumference (WC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), tri-ponderal mass index (TMI) and waist-BMI ratio.

conclusionsRFMp demonstrated a certain advantage in terms of predictive ability compared to alternative indicators. This indicates its potential for implementation in the general pediatric population and clinical practice for the prediction of CRF. However, this needs to be confirmed in further studies involving a larger and more diverse population.

Indexed as

Adipose TissueAdiposityCardiorespiratory FitnessPediatric ObesityAnthropometryBody Mass IndexChildFemaleFollow-Up StudiesHumansLongitudinal StudiesMalePredictive Value of TestsWaist Circumferenceanthropometric measurementsCRFhealth promotionobesityRFMp

Identifiers

PMID41830027
PMCPMC12986975

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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 Socratic graph.