Evidence map›Paper›PMID 36235712›Full record

ArticleNutrients2022

Development and Validation of a Novel Waist Girth-Based Equation to Estimate Fat Mass in Young Colombian Elite Athletes (F20

Diego A Bonilla, Leidy T Duque-Zuluaga, Laura P Muñoz-Urrego, Katherine Franco-Hoyos, Alejandra Agudelo-Martínez, Maximiliano Kammerer-López, Jorge L Petro, Richard B Kreider

Registry-linked trialAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05832710 (Comparison of Methods to Estimate Resting Energy Expenditure in Population With Different Levels of Physical Activity.), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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.

NCT05832710 unknown statusnot on this mapstarted 2023, after this paper: background citation

Comparison of Methods to Estimate Resting Energy Expenditure in Population With Different Levels of Physical Activity.

TypeobservationalSponsorDynamical Business and Science Society - DBSS International SASRan2023 to 2024Enrolled90ConditionsSedentary, Physical Activity, Athletes
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Prediction of fat-free mass from body surface area in young basketball players.BMC sports science, medicine & rehabilitation · 2024
    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

8 authors.

Diego A BonillaResearch Division, Dynamical Business & Science Society-DBSS International SAS, Bogotá 110311, Colombia.ORCID 0000-0002-2634-1220
Leidy T Duque-ZuluagaResearch Division, Dynamical Business & Science Society-DBSS International SAS, Bogotá 110311, Colombia.
Laura P Muñoz-UrregoResearch Division, Dynamical Business & Science Society-DBSS International SAS, Bogotá 110311, Colombia.
Katherine Franco-HoyosGrupo de Investigación NUTRAL, Facultad Ciencias de la Nutrición y los Alimentos, Universidad CES, Medellín 050021, Colombia.ORCID 0000-0003-1580-8275
Alejandra Agudelo-MartínezGrupo de Investigación NUTRAL, Facultad Ciencias de la Nutrición y los Alimentos, Universidad CES, Medellín 050021, Colombia.
Maximiliano Kammerer-LópezGrupo de Investigación NUTRAL, Facultad Ciencias de la Nutrición y los Alimentos, Universidad CES, Medellín 050021, Colombia.
Jorge L PetroResearch Division, Dynamical Business & Science Society-DBSS International SAS, Bogotá 110311, Colombia.ORCID 0000-0001-5678-1000
Richard B KreiderExercise & Sport Nutrition Laboratory, Human Clinical Research Facility, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-3906-1658

Funding

Center for Advanced Studies in Nutrition and Food CESNUTRAL, Universidad CES TeamMedellin_2018
6 · The paper itself

Abstract

The estimation of body fat percentage (%BF) from anthropometry-related data requires population-specific equations to avoid incorrect interpretations in young athletes. Waist girth (WG) has been described as potential predictor of fat mass (FM) in several populations; however, there are no valid WG-based equations to estimate body composition in young Colombian athletes. The aim of this STandardisierte BerichtsROutine für Sekundärdaten Analysen STROSA-based study was twofold: i) to validate the relative fat mass (RFM) and its pediatric version (RFMp) compared to dual-energy x-ray absorptiometry (DXA) and ii) to develop a new equation (F20

Indexed as

AthletesBody CompositionAbsorptiometry, PhotonAdolescentAnthropometryBayes TheoremBody Mass IndexChildColombiaCross-Sectional StudiesFemaleHumansMaleathletic performanceBayesian analysisbody compositionDXA scankinanthropometryregression equationswaist circumferenceyouth sports

Identifiers

PMID36235712
PMCPMC9572533

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.