Evidence map›Paper›PMID 30087234›Full record

ArticleNutrients2018

Fat-to-Muscle Ratio: A New Anthropometric Indicator as a Screening Tool for Metabolic Syndrome in Young Colombian People.

Robinson Ramírez-Vélez, Hugo Alejandro Carrillo, Jorge Enrique Correa-Bautista, Jacqueline Schmidt-RioValle, Emilio González-Jiménez, María Correa-Rodríguez, Katherine González-Ruíz, Antonio García-Hermoso

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

34 citing papers in PubMed, 49 citations in OpenAlex.

  1. [Total and regional fat-to-muscle mass ratio and risk of incident benign ovarian neoplasm].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026
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  14. Glucose metabolism in gestational diabetes and their relationship with fat mass / muscle mass index.European journal of obstetrics & gynecology and reproductive biology: X · 2024
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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 at 5 institutions in 3 countries.

Robinson Ramírez-VélezCentro de Estudios Para la Medición de la Actividad Física CEMA, Escuela de Medicina y Ciencias de la Salud, Universidad del Rosario, Bogotá 111221, Colombia. robin640@hotmail.com.ORCID 0000-0003-3075-6960
Hugo Alejandro CarrilloGrupo GRINDER, Programa de Educación Física y Deportes, Universidad del Valle, Santiago de Cali 76001, Colombia. hugo.carrillo@correounivalle.edu.co.ORCID 0000-0001-6832-5379
Jorge Enrique Correa-BautistaCentro de Estudios Para la Medición de la Actividad Física CEMA, Escuela de Medicina y Ciencias de la Salud, Universidad del Rosario, Bogotá 111221, Colombia. jorge.correa@urosario.edu.co.ORCID 0000-0002-0646-2316
Jacqueline Schmidt-RioValleDepartamento de Enfermería, Facultad de Ciencias de la Salud, Avda. De la Ilustración, 60, University of Granada, 18016 Granada, Spain. jschmidt@ugr.es.
Emilio González-JiménezDepartamento de Enfermería, Facultad de Ciencias de la Salud, Avda. De la Ilustración, 60, University of Granada, 18016 Granada, Spain. emigoji@ugr.es.ORCID 0000-0001-5103-6028
María Correa-RodríguezDepartamento de Enfermería, Facultad de Ciencias de la Salud, Avda. De la Ilustración, 60, University of Granada, 18016 Granada, Spain. macoro@ugr.es.ORCID 0000-0001-9165-4349
Katherine González-RuízGrupo de Ejercicio Físico y Deportes, Vicerrectoría de Investigaciones, Universidad Manuela Beltrán, Bogotá, DC 110231, Colombia. katherine.gonzalez@docentes.umb.edu.co.
Antonio García-HermosoLaboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, USACH, Santiago 7500618, Chile. antonio.garcia.h@usach.cl.ORCID 0000-0002-1397-7182
Universidad de Granada · ESUniversidad del Rosario · COInstitución Universitaria Escuela Nacional del Deporte · COUniversidad de Santiago de Chile · CLUniversidad Manuela Beltrán · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fat-to-muscle ratio has been proposed as an alternative approach for assessing body fat. The objective of this study was to explore fat-to-muscle ratio thresholds in metabolic syndrome (MetS) diagnosis; it was hypothesised that the fat-to-muscle ratio is a good predictive indicator of MetS in a large population of young Colombian adults. For this purpose, a cross-sectional study was conducted on 1416 subjects (66.6% female), aged from 18.1 to 25.1. As part of the study, measurements of the subjects' anthropometric indicators, serum lipid indices, blood pressure, and fasting plasma glucose were taken. Body composition was measured through bioelectrical impedance analysis (BIA). A new variable (ratio of fat mass to muscle mass, in kg) was calculated. Following the International Diabetes Federation (IDF) definition, MetS includes three or more metabolic abnormalities. Receiver operating characteristic (ROC) curves and logistic regression determined the discriminatory ability of the fat-to-muscle ratio to predict MetS. According to the IDF, the best fat-to-muscle ratio cut-off point for detecting MetS in men was 0.225 kg, with an area under the curve (AUC) of 0.83, sensitivity of 80%, and specificity of 70%. For women, the fat-to-muscle ratio cut-off point was 0.495 kg, the AUC was 0.88, and the sensitivity and specificity were 82% and 80%, respectively. In conclusion, our results showed that the fat-to-muscle ratio cut-off points from ROC analyses demonstrate good discriminatory power for detecting MetS in young Colombian adults.

Indexed as

AdiposityAdipose TissueAdolescentAdultAge FactorsAnthropometryBiomarkersColombiaCross-Sectional StudiesElectric ImpedanceFemaleHumansMaleMetabolic SyndromeMuscle, SkeletalPredictive Value of TestsBiomarkersfat massLatin-Americansmetabolic syndromemuscle massyoung adults

Identifiers

PMID30087234
PMCPMC6115891
OpenAlexW2886556520

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.