Evidence map›Paper›PMID 31671800›Full record

ArticleNutrients2019

The Usefulness of Anthropometric Indices to Identify the Risk of Metabolic Syndrome.

Edyta Suliga, Elzbieta Ciesla, Martyna Głuszek-Osuch, Tomasz Rogula, Stanisław Głuszek, Dorota Kozieł

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
8.7field-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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Edyta SuligaThe Institute of Health Sciences, Medical College, Jan Kochanowski University, ul. Zeromskiego 5, 25-369 Kielce, Poland. edyta.suliga@ujk.edu.pl.ORCID 0000-0003-3063-0380
Elzbieta CieslaThe Institute of Health Sciences, Medical College, Jan Kochanowski University, ul. Zeromskiego 5, 25-369 Kielce, Poland. eciesla@ujk.edu.pl.
Martyna Głuszek-OsuchThe Institute of Health Sciences, Medical College, Jan Kochanowski University, ul. Zeromskiego 5, 25-369 Kielce, Poland. mgluszekosuch@ujk.edu.pl.
Tomasz RogulaThe Institute of Medical Sciences, Medical College, Jan Kochanowski University, ul. Zeromskiego 5, 25-369 Kielce, Poland. tomrogula@gmail.com.
Stanisław GłuszekThe Institute of Medical Sciences, Medical College, Jan Kochanowski University, ul. Zeromskiego 5, 25-369 Kielce, Poland. sgluszek@wp.pl.ORCID 0000-0001-7752-0459
Dorota KoziełThe Institute of Health Sciences, Medical College, Jan Kochanowski University, ul. Zeromskiego 5, 25-369 Kielce, Poland. dorota.koziel@ujk.edu.pl.ORCID 0000-0001-8114-1814
Jan Kochanowski University · PL

Funding

Minister of Science and Higher Education - "Regional Initiative of Excellence" in 2019-2022 024/RID/2018/19
6 · The paper itself

Abstract

Despite several papers having been published on the association between adiposity and the risk of metabolic syndrome (MetS), it is still difficult to determine unambiguously which of the indices of nutritional status is the best to identify MetS. The aim of this study was to analyze the ability of six anthropometric indices to identify MetS in the Polish population. The highest odds ratios for the occurrence of MetS, according to International Diabetes Federation (IDF), were noted for the following indices: waist-to-height ratio (WHtR, OR = 24.87) and Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE, OR = 17.47) in men and WHtR (OR = 25.61) and body roundness index (BRI, OR = 16.44) in women. The highest odds ratios for the modified definition of MetS (without waist circumference) were found for the following indices: WHtR (OR = 7.32), BRI (OR = 6.57), and CUN-BAE (OR = 6.12) in women and CUN-BAE (OR = 5.83), WHtR (OR = 5.70), and body mass index (BMI, OR = 5.65) in men (

Indexed as

AnthropometryFemaleHumansLife StyleMaleMetabolic SyndromeMiddle AgedOdds RatioRisk Factorsa body shape index (ABSI)body mass index (BMI)body roundness index (BRI)Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE)metabolic syndromepercent of body fat (%BF)waist-to-height ratio (WHtR)

Identifiers

PMID31671800
PMCPMC6893758
OpenAlexW2982677346

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.