Evidence map›Paper›PMID 29415673›Full record

Trial reportBMC pediatrics2018

Performance of anthropometric indicators as predictors of metabolic syndrome in Brazilian adolescents.

Raphael Gonçalves de Oliveira, Dartagnan Pinto Guedes

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMC pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
9.6field-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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
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  3. Physical Fitness and Health Profile of Adolescents Living in Amazonas.American journal of human biology : the official journal of the Human Biology Council · 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

2 authors at 2 institutions in 1 country.

Raphael Gonçalves de OliveiraUniversidade Estadual do Norte do Paraná (UENP), Centro de Ciências da Saúde. Alameda Padre Magno, 841, Nova Alcântara, Jacarezinho, PR, CEP: 86.400-000, Brazil. rgoliveira@uenp.edu.br.
Dartagnan Pinto GuedesUniversidade Norte do Paraná (UNOPAR), Centro de Pesquisa em Ciências da Saúde. Rua Marselha, 591, Bairro Piza, CEP: 86.041-140, Londrina, PR, Brasil.
Universidade Estadual do Norte do Paraná · BRUniversidade Norte do Paraná · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is not clear which is the best anthropometric indicator to predict metabolic syndrome (MetS) in adolescents. Our objective was to identify the predictive power, with respective cut-off points, of anthropometric indicators associated with the quantity and distribution of body fat for the presence of MetS and to determine the strength of the association between the proposed cut-off points and MetS in adolescents.

methodsThe sample consisted of 1035 adolescents (565 girls and 470 boys) aged between 12 and 20 years. Four anthropometric indicators were considered: waist circumference (WC), body mass index (BMI), waist-height ratio (WHtR), and conicity index (C-Index). MetS was defined according to the criteria of the International Diabetes Federation. Predictive performance was described through analysis of Receiver Operating Characteristic (ROC) curves with a 95% confidence interval. The most accurate cut-off points were identified through sensitivity, specificity and Area Under the Curve (AUC) values.

resultsThe four anthropometric indicators presented significant AUCs close to 0.70. At younger ages (12-15 years) the girls presented a statistically greater capacity to discriminate MetS; however, at more advanced ages (16-20 years) both sexes presented similar AUCs. Among the anthropometric indicators investigated, regardless of sex and age, the WHtR showed the highest discriminant value for MetS, while the C-Index demonstrated a significantly lower capacity to predict MetS. The AUCs equivalent to WC and BMI did not differ statistically. The proposed cut-off points for WHtR (12-15 years = 0.46, 16-20 years = 0.48) presented the highest values of sensitivity and specificity, between 60% and 70%, respectively.

conclusionConsidering that the best AUC was found for WHtR, we suggest the use of this anthropometric indicator, with the cut-off points presented herein, for the prediction of MetS in adolescents with characteristics similar to the study sample.

Indexed as

Body Fat DistributionBody HeightBody Mass IndexWaist CircumferenceAdolescentArea Under CurveBrazilChildCross-Sectional StudiesFemaleHumansMaleMetabolic SyndromePredictive Value of TestsROC CurveYoung AdultAccuracyAdiposityAnthropometryDiagnosisObesityPrediction

Identifiers

PMID29415673
PMCPMC5804068
OpenAlexW2805795377

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.