Evidence map›Paper›PMID 32493897›Full record

ArticleRevista espanola de salud publica2020

[Comparison of classic and new anthropometric indexes for the screening of metabolic syndrome on the working population.]

Elena Raya-Cano, Guillermo Molina-Recio, Manuel Romero-Saldaña, Carlos Álvarez-Fernández, Alberto Hernández-Reyes, Rafael Molina-Luque

Open access · greenAbstract readComparative Study
In one paragraph

Article in Revista espanola de salud publica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 20% 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

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

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. 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

6 authors at 1 institution in 1 country.

Elena Raya-CanoDepartamento de Enfermería. Facultad de Medicina y Enfermería. Universidad de Córdoba. Córdoba. España.
Guillermo Molina-RecioDepartamento de Enfermería. Facultad de Medicina y Enfermería. Universidad de Córdoba. Córdoba. España.
Manuel Romero-SaldañaDepartamento de Seguridad y Salud en el Trabajo. Departamento de Enfermería. Facultad de Medicina y Enfermería. Universidad de Córdoba. Córdoba. España.
Carlos Álvarez-FernándezDepartamento de Seguridad y Salud en el Trabajo. Ayuntamiento de Córdoba. Córdoba. España.
Alberto Hernández-ReyesDepartamento de Enfermería. Facultad de Medicina y Enfermería. Universidad de Córdoba. Córdoba. España.
Rafael Molina-LuqueDepartamento de Enfermería. Facultad de Medicina y Enfermería. Universidad de Córdoba. Córdoba. España.
University of Córdoba · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMetabolic syndrome (MetS) has become a worldwide epidemy as the result of a high prevalence of obesity and a sedentary lifestyle. This study was aimed to determine the predictive capacity of some anthropometric indexes on the metabolic syndrome MetS.

methodsA cross-sectional study was carried out in 636 workers with an overall prevalence of MetS of 14.3%. Receiver Operating Characteristic curves have been carried out to determine the cut-off values. Diagnostic accuracy was determined from the sensitivity and specificity, predictive values, validity index, and Youden index.

resultsWaist-to-Height Ratio (WHtR) and Body Round Index (BRI) were the variables with the highest area under the curve (AUC) both with 0.89 CI 95% (0.858-0.927), followed by Waist Circumference with 0.87 CI 95% (0.83-0.909). The most outstanding cut-off values were: WtHR (0.54), with a sensitivity of 90.1% and a specificity of 76.1% and BRI (4.15) achieved a sensitivity and specificity of 90.1% and 76.1%, respectively.

conclusionsWHtR and BRI are the anthropometric indicators that best discriminate the incidence and prevalence of MetS on the working population. In addition, they show a significant discriminatory capability of abdominal obesity.

Indexed as

Body Mass IndexClinical Decision RulesWaist CircumferenceWaist-Height RatioAdultArea Under CurveCross-Sectional StudiesFemaleHumansIncidenceMaleMetabolic SyndromeMiddle AgedPredictive Value of TestsPrevalenceROC CurveAnthropometryMetabolic syndromePrevalenceSpain

Identifiers

PMID32493897
PMCPMC11582906
OpenAlexW3030214551

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.