Evidence map›Paper›PMID 29584641›Full record

ArticleNutrients2018

Tri-Ponderal Mass Index vs. Fat Mass/Height³ as a Screening Tool for Metabolic Syndrome Prediction in Colombian Children and Young People.

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

Open access · goldAbstract read
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 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
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  5. [Body mass index and triponderal index in abnormal uterine bleed].Revista medica del Instituto Mexicano del Seguro Social · 2023
    Observational
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  7. Criteria in the Diagnosis of Metabolic Syndrome in Children: A Scoping Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
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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
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.
Hugo Alejandro CarrilloGrupo GRINDER, Programa de Educación Física y Deportes, Universidad del Valle, Santiago de Cali 76001, Colombia. hugo.carrillo@correounivalle.edu.co.
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
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.
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
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
Katherine González-RuízGrupo de Ejercicio Físico y Deportes, Vicerrectoría de Investigaciones, Universidad Manuela Beltrán, Bogotá 110231, Colombia. katherine.gonzalez@docentes.umb.edu.co.
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

Tri-ponderal mass index (TMI) and fat mass index (FMI) have been proposed as alternative approaches for assessing body fat since BMI does not ensure an accurate screening for obesity and overweight status in children and adolescents. This study proposes thresholds of the TMI and FMI for the prediction of metabolic syndrome (MetS) in children and young people. For this purpose, a cross-sectional study was conducted on 4673 participants (57.1% females), who were 9-25 years of age. As part of the study, measurements of the subjects' weight, waist circumference, serum lipid indices, blood pressure and fasting plasma glucose were taken. Body composition was measured by bioelectrical impedance analysis (BIA). The TMI and FMI were calculated as weight (kg)/height (m³) and fat mass (kg)/height (m³), respectively. Following the International Diabetes Federation (IDF) definition, MetS is defined as including three or more metabolic abnormalities. Cohort-specific thresholds were established to identify Colombian children and young people at high risk of MetS. The thresholds were applied to the following groups: (i) a cohort of children where the girls' TMI ≥ 12.13 kg/m³ and the boys' TMI ≥ 12.10 kg/m³; (ii) a cohort of adolescents where the girls' TMI ≥ 12.48 kg/m³ and the boys' TMI ≥ 11.19 kg/m³; (iii) a cohort of young adults where the women's TMI ≥ 13.21 kg/m³ and the men's TMI ≥ 12.19 kg/m³. The FMI reference cut-off values used for the different groups were as follows: (i) a cohort of children where the girls' FMI ≥ 2.59 fat mass/m³ and the boys' FMI ≥ 1.98 fat mass/m³; (ii) a cohort of adolescents where the girls' FMI ≥ 3.12 fat mass/m³ and the boys' FMI ≥ 1.46 fat mass/m³; (iii) a cohort of adults where the women's FMI ≥ 3.27 kg/m³ and the men's FMI ≥ 1.65 kg/m³. Our results showed that the FMI and TMI had a moderate discriminatory power to detect MetS in Colombian children, adolescents, and young adults.

Indexed as

AdiposityAdolescentAdultAge FactorsAnthropometryArea Under CurveBody HeightBody Mass IndexBody WeightChildColombiaCross-Sectional StudiesFemaleHumansMaleMetabolic Syndromeadipositychildrenfat massfat mass indexmetabolic syndrometri-ponderal mass index

Identifiers

PMID29584641
PMCPMC5946197
OpenAlexW2794774499

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.