Evidence map›Paper›PMID 30802270›Full record

Trial reportPloS one2019

Obesity measured as percent body fat, relationship with body mass index, and percentile curves for Mexican pediatric population.

Paula Costa-Urrutia, Alejandra Vizuet-Gámez, Miryam Ramirez-Alcántara, Miguel Ángel Guillen-González, Oscar Medina-Contreras, Mariana Valdes-Moreno, Claudette Musalem-Younes, Jaqueline Solares-Tlapechco, Julio Granados, Valentina Franco-Trecu and 1 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2019. 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
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

34 citing papers in PubMed, 62 citations in OpenAlex.

  1. Trial
  2. Overweight and obesity in Jordanian adults before and after COVID-19: a multi-index comparison.Archives of public health = Archives belges de sante publique · 2026
    Article
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  4. Exploring obesity phenotypes: a longitudinal perspective.Reviews in endocrine & metabolic disorders · 2025
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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

11 authors at 4 institutions in 2 countries.

Paula Costa-UrrutiaLaboratorio de Medicina Genómica del Hospital Regional Lic, Adolfo López Mateos, ISSSTE, Mexico City, Mexico.ORCID 0000-0002-6747-5380
Alejandra Vizuet-GámezCoordinación de Pediatría Hospital Regional Lic, Adolfo López Mateos, ISSSTE, Mexico City, Mexico.
Miryam Ramirez-AlcántaraLaboratorio de Investigación Clínica Hospital Regional Lic, Adolfo López Mateos, ISSSTE, Mexico City, Mexico.
Miguel Ángel Guillen-GonzálezLaboratorio de Medicina Genómica del Hospital Regional Lic, Adolfo López Mateos, ISSSTE, Mexico City, Mexico.
Oscar Medina-ContrerasLaboratorio de Medicina Genómica del Hospital Regional Lic, Adolfo López Mateos, ISSSTE, Mexico City, Mexico.ORCID 0000-0002-4432-7780
Mariana Valdes-MorenoLaboratorio de Medicina Genómica del Hospital Regional Lic, Adolfo López Mateos, ISSSTE, Mexico City, Mexico.
Claudette Musalem-YounesLaboratorio de Medicina Genómica del Hospital Regional Lic, Adolfo López Mateos, ISSSTE, Mexico City, Mexico.
Jaqueline Solares-TlapechcoLaboratorio de Medicina Genómica del Hospital Regional Lic, Adolfo López Mateos, ISSSTE, Mexico City, Mexico.
Julio GranadosDivisión de Inmunogenética, Departamento de Trasplantes, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Valentina Franco-TrecuDepartamento de Ecología y Evolución, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.
M Eunice Rodriguez-ArellanoLaboratorio de Medicina Genómica del Hospital Regional Lic, Adolfo López Mateos, ISSSTE, Mexico City, Mexico.
Institute for Social Security and Services for State Workers · MXHospital Infantil de México Federico Gómez · MXInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MXUniversidad de la República de Uruguay · UY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Mexico, the increase in childhood obesity is alarming. Thus, improving the precision of its diagnosis is expected to impact on disease prevention. We estimated obesity prevalence by bioimpedance-based percent body fat (%BF) and body mass index (BMI) in 1061 girls and 1121 boys, from 3 to 17 years old. Multiple regressions and area under receiver operating curves (AUC) were used to determine the predictive value of BMI on %BF and percentile curves were constructed. Overall obesity prevalence estimated by %BF was 43.7%, and by BMI it was 20.1%; it means that the diagnosis by BMI underestimated around 50% of children diagnosed with obesity by %BF (≥30% for girls, ≥25% for boys). The fat mass excess is further underestimated in boys than in girls when using the standard BMI classification. The relationship between %BF and BMI was strong in school children and adolescents (all cases R2>0.70), but not in preschool children (girls R2 = 0.57, boys R2 = 0.23). AUCs showed greater discriminative power of BMI to detect %BF obesity in school children and adolescents (all cases AUC≥0.90) than in preschool children (girls AUC = 0.86; boys AUC = 0.70). Growth percentile charts showed that girls aged 9-17 years and boys aged 8-17 years presented fat excess from the 50th percentile and above. We suggested to change the BMI cut-off for them, considering values at the 75th percentile as overweight, and values at the 85th percentile as obesity, as previously recommended for Mexican children. Improving obesity diagnosis will allow greater efficiency when searching for comorbidities in clinical practice.

Indexed as

Adipose TissueBody Mass IndexPediatric ObesityAdolescentChildChild, PreschoolFemaleHumansMaleMexicoPrevalenceSex Factors

Identifiers

PMID30802270
PMCPMC6388924
OpenAlexW2916474382

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.