Evidence map›Paper›PMID 33761196›Full record

ArticleBiomedica : revista del Instituto Nacional de Salud2021

Concurrent validity of five prediction equations to evaluate fat percentage in a sports group expected to yield high performance from Medellín, Colombia.

Ana Lucía López, Juan David Vélez, Angélica María García, Elkin Fernando Arango

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Article in Biomedica : revista del Instituto Nacional de Salud, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ana Lucía LópezInstituto de Deportes y Recreación de Medellín, INDER, Medellín, Colombia. analopezm01@hotmail.com.
Juan David VélezInstituto de Deportes y Recreación de Medellín, INDER, Medellín, Colombia. biomedica@ins.gov.co.
Angélica María GarcíaFacultad de Ciencias para la Salud, Universidad de Caldas, Manizales, Colombia. biomedica@ins.gov.co.
Elkin Fernando ArangoInstituto de Deportes y Recreación de Medellín, INDER, Medellín, Colombia. biomedica@ins.gov.co.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNo equations to predict the body composition of athletes from Medellín expected to have high performance have been constructed and, thus, decisions regarding their training and nutrition plans lack support.

objectiveTo calculate the concurrent validity of five prediction equations for fat percentage in a group of athletes from Medellín, Colombia, expected to yield high performance. MATERIALS AND

methodsWe conducted a cross-sectional analysis to validate diagnostic tests using secondary-source data of athletes under the age of 18 who were part of the "Medellín Team". The gold standard was dual-energy X-ray densitometry (DEXA). We analyzed the Slaughter, Durnin and Rahaman, Lohman, and Johnston prediction equations, as well as the five-component model. We used the intraclass correlation coefficient to assess the consistency of the methods and the Bland-Altman plot to calculate the average bias and agreement limits of each of the equations.

resultsWe included 101 athletes (50,5 % of them women). The median age was 14,8 years (IR: 13,0 - 16,0). The concurrent validity was "good/excellent" for the Johnston and the Durnin and Rahaman equations and the five-components model. The Lohman equation overestimated the fat percentage in 12,7 points. All of the equations showed broad agreement limits.

conclusionsThe Durnin and Rahaman and the Johnston equations, as well as the fivecomponent model, can be used to predict the FP in the study population as they showed a "good/excellent" concurrent validity and a low average bias. The equations analyzed have low accuracy, which hinders their use to diagnose the individual fat percentage within this population.

Indexed as

SportsAdipose TissueAdolescentColombiaCross-Sectional StudiesFemaleHumansMaleMathematical ConceptsOrgan Sizeabsorptiometryadipose tissueadolescentanthropometryBody compositionchildnutritional statusnutrition assessmentphoton

Identifiers

PMID33761196
PMCPMC8055581

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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.